A break in the clouds: towards a cloud definition

BioMed Research International, 2013

We report the release of PredictProtein for the Debian operating system and derivatives, such as Ubuntu, Bio-Linux, and Cloud BioLinux. The PredictProtein suite is available as a standard set of open source Debian packages. The release covers the most popular prediction methods from the Rost Lab, including methods for the prediction of secondary structure and solvent accessibility (profphd), nuclear localization signals (predictnls), and intrinsically disordered regions (norsnet). We also present two case studies that successfully utilize PredictProtein packages for high performance computing in the cloud: the first analyzes protein disorder for whole organisms, and the second analyzes the effect of all possible single sequence variants in protein coding regions of the human genome.

Lecture Notes in Computer Science, 2012

Cloud Computing is a new paradigm of distributed computing that offers virtualized resources and services over the Internet. To offer Infrastructure-as-a-Service (IaaS) many Cloud providers uses a large data center which usage ranges 5% to 10% of capacity in average. In order to improve Cloud data center management and resources usage a Virtual Machine (VM) consolidation technique can be applied to increase workloads and save energy. Using VM consolidation, we introduce an artificial intelligence consolidation based in Pseudo-Boolean (PB) Constraints to find a optimal consolidation. To evaluate our PB consolidation approach we used the DInf-UFPR and Google Cluster scenario and the formulas are solved with two state-of-the-art solvers.

Service Oriented Computing and Applications, 2011

Due to the shift from software-as-a-product (SaaP) to software-as-a-service (SaaS), software components that were developed to run in a single address space must increasingly be accessed remotely across the network. Distribution middleware is frequently used to facilitate this transition. Yet a range of middleware platforms exist, and there are few existing guidelines to help the programmer choose an appropriate middleware platform to achieve desired goals for performance, conciseness, intuitiveness, and reliability. To address this limitation, in this article, we describe a case study of transitioning an Open Service Gateway Initiative (OSGi) service from local to remote access. In our case study, we evaluate five remote versions of this service, constructed using different distribution middleware platforms. These platforms are implemented by widely-used commercial technologies or have been proposed as improvements on the state of the art. In particular, we implemented a service-oriented version of our own Remote Batch Invocation abstraction. We compare and contrast these implementations in terms of their respective performance, conciseness, complexity, and reliability. Our results can help remote service programmers make informed decisions when choosing middleware platforms for their applications. 1

Computing, 2013

Software vendors increasingly aim to apply the Software-as-a-Service (SaaS) delivery model instead of the traditional on-premise model. Platforms-as-a-Service (PaaS), such as Google App Engine and Windows Azure, deliver a computing platform and solution stack as a service, but they also aim to facilitate the development of cloud applications (SaaS). Such PaaS offerings should enable third parties to build and deliver multi-tenant SaaS applications while shielding the complexity of the underpinning middleware and infrastructure. This paper compares, on the basis of a practical case study, three different and representative PaaS platforms with respect to their support for SaaS application development. We have reengineered an on-premise enterprise application into a SaaS application and we have subsequently deployed it in three PaaS-based cloud environments. We have investigated the following qualities of the PaaS platforms from the perspective of SaaS development: portability of the application code base, available support for creating and managing multi-tenantaware applications, and quality of the tool support.

Cluster Computing, 2015

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Concurrency and Computation: Practice and Experience, 2012

Trends and challenges in operating systems-from parallel computing to cloud computing

Cluster Computing, 2011

Cloud computing is a promising paradigm for the provisioning of IT services. Cloud computing infrastructures, such as those offered by the RESERVOIR project, aim to facilitate the deployment, management and execution of services across multiple physical locations in a seamless manner. In order for service providers to meet their quality of service objectives, it is important to examine how software architectures can be described to take full advantage of the capabilities introduced by such platforms. When dealing with software systems involving numerous loosely coupled components, architectural constraints need to be made explicit to ensure continuous operation when allocating and migrating services from one host in the Cloud to another. In addition, the need for optimising resources and minimising over-provisioning requires service providers to control the dynamic adjustment of capacity throughout the entire service lifecycle. We discuss the implications for software architecture definitions of distributed applications that are to be deployed on Clouds. In particular, we identify novel primitives to support service elasticity, co-location and other requirements, propose language abstractions for these primitives and define their behavioural semantics precisely by establishing constraints on the relationship between architecture definitions and Cloud management infrastructures using a model denotational approach in order to derive appropriate service management cycles.

Journal of Software: Evolution and Process, 2012

Information Systems Frontiers, 2016

Internet traffic volume is increasing and this causes scalability issues in content delivery. This problem can be addressed with different types of caching solutions. The incentives of different stakeholders to pay for these solutions are not known. However, it has been identified that Internet service providers (ISPs) need to be involved in the process of cache deployment due to their ownership of the network. This work evaluates a new business model where ISPs charge content providers (CPs) for a caching service because CPs benefit from more efficient content distribution. We provide conditions for sustainable paid in-network caching and their numerical evaluation in order to aid strategic decision-making by CPs, ISPs, and Cloud storage providers (CSPs). Although ISP caching as a paid service may not be an equilibrium, it turns out to be Pareto optimal at the right pricing. This encourages cooperation between CPs and ISPs. CSPs may choose cache friendly physical locations for their facilities in order The work of J.

International Journal of Computer Assisted Radiology and Surgery, 2013

Purpose Healthcare institutions worldwide have adopted picture archiving and communication system (PACS) for enterprise access to images, relying on Digital Imaging Communication in Medicine (DICOM) standards for data exchange. However, communication over a wider domain of independent medical institutions is not well standardized. A DICOM-compliant bridge was developed for extending and sharing DICOM services across healthcare institutions without requiring complex network setups or dedicated communication channels. Methods A set of DICOM routers interconnected through a public cloud infrastructure was implemented to support medical image exchange among institutions. Despite the advantages of cloud computing, new challenges were encountered regarding data privacy, particularly when medical data are transmitted over different domains. To address this issue, a solution was introduced by creating a ciphered data channel between the entities sharing DICOM services. Results Two main DICOM services were implemented in the bridge: Storage and Query/Retrieve. The performance measures demonstrated it is quite simple to exchange information and processes between several institutions. The solution can be integrated with any currently installed PACS-DICOM infrastructure. This method works transparently with wellknown cloud service providers. Conclusions Cloud computing was introduced to augment enterprise PACS by providing standard medical imaging services across different institutions, offering communication privacy and enabling creation of wider PACS scenarios with suitable technical solutions.

Mathematical Problems in Engineering, 2013

Cloud computing has become a popular topic for exploration in both academic and industrial research in recent years. In this paper, network behavior is analyzed to assess and compare the costs and risks associated with traditional local servers versus those associated with cloud computing to determine the appropriate deployment strategy. An analytic framework of a deployment strategy that involves two mathematical models and the analytical hierarchy process is proposed to analyze the costs and service level agreements of services involving using traditional local servers and platform as service platforms in the cloud. Two websites are used as test sites to analyze the costs and risks of deploying services in Google App Engine (GAE) (1) the website of Information and Finance of Management (IFM) at the National Chiao Tung University (NCTU) and (2) the NCTU website. If the examined websites were deployed in GAE, NCTU would save over 83.34% of the costs associated with using a traditional local server with low risk. Therefore, both the IFM and NCTU websites can be served appropriately in the cloud. Based on this strategy, a suggestion is proposed for managers and professionals.

Communications in Computer and Information Science, 2015

The business/IT alignment is an important concept as it creates a coherence between business goals and vision and the IT strategies and decisions. The adoption of cloud computing is one of the IT strategies that is increasingly being considered by several enterprises. When enterprises focalize on the business process outsourcing to the cloud, many issues should be tackled such as its suitability as an environment for running the business process, the selection of parts of business process to be outsourced, and the depiction of the most suitable cloud providers for its execution. This papers major contribution is a decision method framework presenting guidelines to support decision makers aiming to outsource their SOA-based business process to the cloud. The framework assists experts in the fastidious task of analyzing and resolving the BPO problem and its relevance to enterprises context. Its top-down characteristic allows for the study of the enterprise business needs, lacks, and perspectives and the depiction of the implied IT resources creating thus a harmonious correspondence between the two levels which is very demanded in enterprises to guarantee their persistence in the economic markets.

Large Scale Network-Centric Distributed Systems, 2013

Medical reference services quarterly, 2012

‘Cloud computing’’ is the name for the recent trend of moving software and computing resources to an online, shared-service model. This article briefly defines cloud computing, discusses different models, explores the advantages and disadvantages, and describes some of the ways cloud computing can be used in libraries. Examples of cloud services are included at the end of the article. KEYWORDS Applications, cloud computing, Internet, online storage, software as a service

Journal of Cloud Computing, 2014

Interactive Voice Response (IVR) is a technology that allows automatic human-computer interactions, via a telephone keypad or voice commands. The systems are widely used in many industries, including telecommunications and banking. Virtualization is a potential technology that can enable the easy development of IVR applications and their deployment on the cloud. IVR virtualization will enable efficient resource usage by allowing IVR applications to share different IVR substrate components such as the key detector, the voice recorder and the dialog manager. Resource management is part and parcel of IVR virtualization and poses a challenge in virtualized environments where both processing and network constraints must be considered. Considering several objectives to optimize the resource usage makes it even more challenging. This paper proposes IVR virtualization task scheduling and computational resource sharing (among different IVR applications) strategies based on genetic algorithms, in which different objectives are optimized. The algorithms used by both strategies are simulated and the performance measured and analyzed.

Venture Capital, 2015

This study investigates resourcing of computer software companies that have adopted cloud computing for the development and delivery of application software. Use of this innovative technology potentially impacts firm financing because the initial infrastructure investment requirement is much lower than for packaged software, lead time to market is shorter, and cloud computing supports instant scalability. We test these predictions by conducting in-depth interviews with founders of 18 independently owned nascent enterprises, of which three quarters have adopted cloud computing. We identify particular bootstrapping methods used by start-ups in the computer software sector. Cloud computing enables firms to develop and launch products with minimal resources, reducing barriers to entry, with consequent increased competition. The primary business bootstrapping technique is foregoing wages, supplemented by small amounts of grant funding. Customers are a source of knowledge and expertise for product development, which occurs in an iterative process. Product bootstrapping techniques have changed in response to technological innovation, although methods to acquire tangible assets are identical over time. Astutely applied, financial bootstrapping is a resource management strategy essential to the growth and survival of high technology firms.

The Journal of Supercomputing, 2014

The ability to deliver guaranteed QoS (Quality of Service) is crucial for the commercial success of cloud platforms. This paper presents a model based on queuing theory to study computer service QoS in cloud computing. Cloud platforms are modeled with an open Jackson network that can be used to determine and measure the QoS guarantees the cloud can offer regarding the response time. The analysis can be performed according to different parameters, such as the arrival rate of customer services and the number and service rate of processing servers, among others. Detailed results for the model are presented. When scaling the system and depending on the types of bottleneck in the system, we show how our model can provide us with the best option to guarantee QoS. The results obtained confirm the usefulness of the model presented for designing real cloud computing systems.

Concurrency and Computation: Practice and Experience, 2012

Many of the existing large-scale scientific experiments modeled as scientific workflows are computeintensive. Some scientific workflow management systems already explore parallel techniques, such as parameter sweep and data fragmentation, to improve performance. In those systems, computing resources are used to accomplish many computational tasks in high performance environments, such as multiprocessor machines or clusters. Meanwhile, cloud computing provides scalable and elastic resources that can be instantiated on demand during the course of a scientific experiment, without requiring its users to acquire expensive infrastructure or to configure many pieces of software. In fact, because of these advantages some scientists have already adopted the cloud model in their scientific experiments. However, this model also raises many challenges. When scientists are executing scientific workflows that require parallelism, it is hard to decide a priori the amount of resources to use and how long they will be needed because the allocation of these resources is elastic and based on demand. In addition, scientists have to manage new aspects such as initialization of virtual machines and impact of data staging. SciCumulus is a middleware that manages the parallel execution of scientific workflows in cloud environments. In this paper, we introduce an adaptive approach for executing parallel scientific workflows in the cloud. This approach adapts itself according to the availability of resources during workflow execution. It checks the available computational power and dynamically tunes the workflow activity size to achieve better performance. Experimental evaluation showed the benefits of parallelizing scientific workflows using the adaptive approach of SciCumulus, which presented an increase of performance up to 47.1%.

Symmetry

In this paper, a novel high-performance and low-cost operator is proposed for the imperialist competitive algorithm (ICA). The operator, inspired by a sociopolitical movement called the color revolution that has recently arisen in some countries, is referred to as the color revolution operator (CRO). The improved ICA with CRO, denoted as ICACRO, is significantly more efficient than the ICA. On the other hand, cloud computing service composition is a high-dimensional optimization problem that has become more prominent in recent years due to the unprecedented increase in both the number of services in the service pool and the number of service providers. In this study, two different types of ICACRO, one that applies the CRO to all countries of the world (ICACRO-C) and one that applies the CRO solely to imperialist countries (ICACRO-I), were used for service time-cost optimization in cloud computing service composition. The ICACRO was evaluated using a large-scale dataset and five serv...

Advances in Library and Information Science

Artificial intelligence (AI) is a broad and complex area of study, which can be difficult for non-specialists to understand. Yet, its ultimate promise is to create computer systems that manifest human intelligence. This chapter coins “Machinzation” for the application of literary machine (computer) to human operations. This clearly has major implications for library and information science profession. In principle and practice, AI has penetrated virtually all walks of human life. Many authors have previously provided in-depth overviews of AI technologies. Service is the vocal point of librarianship and particularly in the era where information is the fifth and most important factor of production. Cloud computing stems from the principle of AI while when applied into the operations and routines in libraries and information center gives a brand new concept “CloudLibrarianship.” The new concept is dealt with in this work. Emergence of this concept opens up the entrepreneur opportunitie...

Lecture Notes in Computer Science, 2013

Many companies have already adopted their business processes to be in accordance with defined and organized standards. Two standards that are sought after by companies are IT Infrastructure Library (ITIL) and ISO 27001. Often companies start certifying their business processes with ITIL and continue with ISO 27001. For small and medium-sized businesses, it is difficult to prepare and maintain the ISO 27001 certification. The IT departments of these companies often do not have the time to fully observere standards as part of their daily routine. ITIL and ISO 27001 perfectly fit into companies and help reduce errors through the standardization and comparability of products and services between themselves and other companies and partners. ISO 27001 specifically looks at security risks, countermeasures and remedial actions. We start with the processes that need to be in place for implementing ITIL in an organisation's business processes. We use a cloud service provider as a running example and compare ITIL processes with ISO 27001 processes. We identify which aspects of these two standards can be better executed. We propose a mapping between ITIL and ISO 27001 that makes them easier to understand and assists with the certification process. We show further how to prepare for audits as well as re-certification. Often, these two processes are seen separately and not in conjunction, where synergies can be exploited. Legal requirements, compliance and data security play an integral part in this process. In essence, we present checklists and guidelines for companies who want to prepare for standardization or that are already certified, but want to improve their business processes. We illustrate our method using an high availability video conferencing cloud example.

Journal of Internet Services and Applications

Recent developments in telecommunications have allowed drawing new paradigms, including the Internet of Everything, to provide services by the interconnection of different physical devices enabling the exchange of data to enrich and automate people's daily activities; and Fog computing, which is an extension of the well-known Cloud computing, bringing tasks to the edge of the network exploiting characteristics such as lower latency, mobility support, and location awareness. Combining these paradigms opens a new set of possibilities for innovative services and applications; however, it also brings a new complex scenario that must be efficiently managed to properly fulfill the needs of the users. In this scenario, the Fog Orchestrator component is the key to coordinate the services in the middle of Cloud computing and Internet of Everything. In this paper, key challenges in the development of the Fog Orchestrator to support the Internet of Everything are identified, including how they affect the tasks that a Fog service Orchestrator should perform. Furthermore, different service Orchestrator architectures for the Fog are explored and analyzed in order to identify how the previously listed challenges are being tackled. Finally, a discussion about the open challenges, technological directions, and future of the research on this subject is presented.

Concurrency and Computation: Practice and Experience, 2011

In this paper we present the case study of an application of a parallel simulation optimization deployed on a private Cloud. The compute-intensive application uses a Master/Worker model, supporting communication over both Java RMI and Globus Grid Services between the nodes. The Master deploys Workers over a Eucalyptus Cloud using the Nimbus Context Broker for just-in-time configuration and runtime Worker discovery. The computational performance of the Workers under different communication mechanisms and deployment scenarios is presented in an attempt to evaluate the use of Virtual Machines in a Cloud as a tool to achieve application scaling. The deployment of this particular application was crafted to support on-the-fly addition of working nodes. The case study suggests a deployment pattern that shapes some requirements and considerations of a scalable Globus-driven Platform as a Service Cloud.

Cogent Engineering, 2016

Accessing the advantages of cloud computing requires that a prospective user has proper access to trustworthy cloud services. It is a strenuous and laborious task to find resources and services in a heterogeneous network such as cloud environment. The cloud computing paradigm being a form of distributed system with a complex collection of computing resources from different domains with different regulatory policies but having a lot of values could enhance the mode of computing. However, a monolithic approach to cloud service discovery cannot help the necessities of cloud environment efficiently. This study put forward a distributive approach for finding sincere cloud services with the use of Multi-Agents System for ensuring intelligent cloud service discovery from trusted providers. Experiments were carried out in the study using CloudAnalyst and the results indicated that extending the frontiers MAS approach into cloud service discovery by way of integrating trust into the process improves the quality of service in respect of response time and scalability. A further comparative analysis of the Multi-Agents System approach for cloud service discovery to monolithic approach showed that Multi-Agents System approach is highly efficient, and highly flexible for trustworthy cloud service discovery.

Evolving Systems, 2013

We introduce a learning controller framework for adaptive control in Application Service Management environments and explore its potential. Runtime metrics are collected by observing the enterprise system during its normal operation and load tests are persisted creating a knowledge base of real system states. Equipped with such knowledge the proposed framework associates system states and high/low service level agreement values with successful/unsuccessful control actions. These associations are used to induce decision rules, which help generating training sets for a neural networks-based control decision module that operates in the application run-time. Control actions are executed in the background of the current system state, which is then again monitored and stored extending the system state repository/knowledge base, and evaluating the correctness of the control actions frequently. This incremental learning leads to evolving controller behavior by taking into account consequences of earlier actions in a particular situation, or other similar situations. Our tests demonstrate that this controller is able to adapt to changing run-time conditions and workloads based on SLA definitions and is able to control the instrumented system under overloading effectively.

Software and System Modeling, 2012

Due to license restrictions and installation issues, it is often not feasible to experiment with software without making substantial investments. Especially in the case of legacy tools, it turns out that even free software is often too costly (i.e., time-consuming) to be installed for evaluating the quality of a research contribution. After organizing a series of events related to software

2018

We are witnessing the business prospects of cloud computing becoming apparent as many cloud computing services have been made available online. Previously, outsourcing of computing resources employs a third party to set up, develop, and maintain the infrastructure within or outside the business organization. However, nowadays many business organizations all over the world see that outsourcing their computing resources through cloud computing is a highly viable option as it saves a business organization from the complicated setup and maintenance costs of computer infrastructure. There are three generally known types cloud computing, namely public cloud, private cloud, and hybrid cloud. There also three generally service models namely software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). This chapter highlights the development of cloud computing technology, benefits and issues of outsourcing an organization’s computing resources through cl...

Journal of Grid Computing, 2013

Cloud Computing enables the construction and the provisioning of virtualized service-based applications in a simple and cost effective outsourcing to dynamic service environments. Cloud Federations envisage a distributed, heterogeneous environment consisting of various cloud infrastructures by aggregating different IaaS provider capabilities coming from both the commercial and the academic area. In this paper, we introduce a federated cloud management solution that operates the federation through utilizing cloudbrokers for various IaaS providers. In order to enable an enhanced provider selection and inter-cloud service executions, an integrated monitoring approach is proposed which is capable of measuring the availability and reliability of the provisioned services in different providers. To this end, a minimal metric monitoring service has been designed and used together with a service monitoring solution to measure cloud performance. The transparent and cost effective operation on commercial clouds and the capability to simultaneously monitor both private and public clouds were the major design goals of this integrated cloud monitoring approach. Finally, the evaluation of our proposed solution is pre

ISPRS International Journal of Geo-Information

Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the number of model runs, the spatial, spectral, and temporal resolutions, the number of criterion maps, and the model complexity. The current Spatially-Explicit Uncertainty and Sensitivity Analysis (SEUSA) approach employs a cluster-based parallel and distributed Python–Dask solution for large-scale spatial problems, which validates and quantifies the robustness of spatial model solutions. This paper presents the design of a framework to perform SEUSA as a Service in a cloud-based environment scalable to very large raster datasets and applicable to various domains, such as landscape assessment, site selection, risk assessment, and land-use management. It incorporates an automated Kubernetes service for container virtualization, comprising...

Applied Sciences

In recent years, the cloud computing model has gained increasing attention and popularity in the field of information technology. For this reason, people are migrating their applications to public, private, or hybrid cloud environments. Many cloud vendors offer similar features with varying costs, so an appropriate choice will be the key to guaranteeing comparatively low operational costs for an organization. The motivation for this work is the necessity to select an appropriate cloud storage provider offering for the migration of applications with less cost and high performance. However, the selection of a suitable cloud storage provider is a complex problem that entails various technical and organizational aspects. In this research, a dynamic Decision Support System (DSS) for selection of an appropriate cloud storage provider is proposed. A web-based application is implemented using PHP and MySQL to facilitate decision makers. The proposed mechanism has been optimized in a way tha...

Mobile Information Systems, 2015

We investigated context-awareness by utilising multiple sources of context in a mobile device setting. In our experiment we developed a system consisting of a mobile client, running on the Android platform, integrated with a cloud-based service. These components were integrated using push messaging technology. One of the key features was the automatic adaptation of smartphones in accordance with implicit user needs. The novelty of our approach consists in the use of multiple sources of context input to the system, which included the use of calendar data and web based user configuration tool, as well as that of an external, cloud-based, configuration file storing user interface preferences which, pushed at log-on time irrespective of access device, frees the user from having to manually configure its interface. The system was evaluated via two rounds of user evaluations (n= 50 users), the feedback of which was generally positive and demonstrated the viability of using cloud-based ser...

2019

The use of cloud solution to support Enterprise Resource Planning (ERP) system has become the priority of many organizations to stay competitive in the current global world. This research will be focusing on the behavioral intention among the employees to use Software as a Service (SaaS) ERP sub-modules in a global construction tool provider considering perceived enjoyment, anxiety and system performance. The objective of this research is to analyze and investigate the employees’ behavioral intention to use SaaS ERP sub-modules in the construction tool provider companies considering these unique variables and predictors. The findings of this research can assist and support both organizations and researchers to build a fundamental level on understanding how these variables can predict the user behavioral intention to use SaaS ERP sub-modules in a global construction tool provider company which significantly beneficial. 250 users ranging from executive and higher management level glob...

Computers, 2021

Despite the attractive benefits of cloud-based business processes, security issues, cloud attacks, and privacy are some of the challenges that prevent many organizations from using this technology. This review seeks to know the level of integration of security risk management process at each phase of the Business Process Life Cycle (BPLC) for securing cloud-based business processes; usage of an existing risk analysis technique as the basis of risk assessment model, usage of security risk standard, and the classification of cloud security risks in a cloud-based business process. In light of these objectives, this study presented an exhaustive review of the current state-of-the-art methodology for managing cloud-based business process security risk. Eleven electronic databases (ACM, IEEE, Science Direct, Google Scholar, Springer, Wiley, Taylor and Francis, IEEE cloud computing Conference, ICSE conference, COMPSAC conference, ICCSA conference, Computer Standards and Interfaces Journal)...

Science and engineering ethics, 2016

Cloud computing is rapidly gaining traction in business. It offers businesses online services on demand (such as Gmail, iCloud and Salesforce) and allows them to cut costs on hardware and IT support. This is the first paper in business ethics dealing with this new technology. It analyzes the informational duties of hosting companies that own and operate cloud computing datacentres (e.g., Amazon). It considers the cloud services providers leasing 'space in the cloud' from hosting companies (e.g., Dropbox, Salesforce). And it examines the business and private 'clouders' using these services. The first part of the paper argues that hosting companies, services providers and clouders have mutual informational (epistemic) obligations to provide and seek information about relevant issues such as consumer privacy, reliability of services, data mining and data ownership. The concept of interlucency is developed as an epistemic virtue governing ethically effective communicatio...

Journal of Software Engineering Research and Development, 2016

Among research opportunities in software engineering for cloud computing model, interoperability stands out. We found that the dynamic nature of cloud technologies and the battle for market domination make cloud applications locked-id, i.e, proprietary, non-portable and non-interoperable. In general context of cloud computing, interoperability goes beyond communication between systems like in other fields, it goes in direction of more dynamic, heterogeneous, complex and composed applications that take advantage of best features from different providers and services simultaneously. Interoperability in cloud constitutes a great challenge that must be overcome for that, in the future, software be more dynamic and improved. Objective: This paper aims at identifying how interoperability in cloud computing has been addressed in the existing literature, offering an up-to-date view of concepts relate to how to develop interoperable software that takes advantage of different cloud models. Thus, providing a basis for further research in the field and consolidating e better exploring existing concepts. Method: To fulfill this objective, we surveyed literature. We defined six research questions and conducted the study according to a protocol that included planning, and execution. Results: A first result of the review is that there is no well established definition for cloud interoperability. This study also identified cloud interoperability concepts (e.g., cloud brokers, multi-cloud and cloud federation), requirements for interoperable applications and existing cloud interoperability solutions, showing that these are either too specific for particular situations. Finally, the survey found no evaluation models for cloud interoperability solutions. We also present a discussion on the findings of this study. Conclusion: Since the study observed that there are no well-established cloud interoperability solutions yet, we conclude that the issues raised by lack of interoperability persist. Selecting one interoperable solution or even a cloud standard can free the system from the underlying providers, but it would still be locked into the selected particular solution.

Journal of Ambient Intelligence and Humanized Computing, 2022

Internet of Things (IoT) is an ever-growing technology that enables advanced communication among millions of various devices to provide ubiquitous services without human intervention. The potential growth of electronic devices in sensing systems has led to the realization of IoT paradigm where applications depend on sensors to interact with the environment and collect data in a real-time scenario. Nowadays, smart applications require fast data acquisition, parallel processing, and dynamic resource sharing. Unfortunately, these requirements can not be supported efficiently with traditional Wireless Sensor Networks (WSN) due to the deficiency of computing resources and the lack of resource-sharing. Therefore, it is not recommended to develop innovative applications based on these constrained devices without further enhancement and improvement. Hence, this article explores a coeffective solution based on Cloud Computing and Virtualization Techniques to address these challenges. Cloud computing provides efficient computing resources and huge storage space, while the virtualization technique allows resources to be virtualized and shared between various applications. Integrating IoT-WSN with the Cloud-based Virtualization Environment will eliminate the drawbacks and limitations of conventional networks and facilitate the development of novel applications in a more flexible way. Furthermore, this article reviews the recent trends in IoT-WSN, virtualization techniques, and cloud computing. Also, we present the integration process of sensor networks with Cloud-based Virtualization and propose a new general architecture view for the Sensor-Cloud paradigm, and discuss its key elements, basic principles, lifecycle operation, and outline its advantages and disadvantages. Finally, we review the state-of-the-art, present the major challenges, and suggest future work directions.

IOP Conference Series: Materials Science and Engineering, 2019

Computational technology is an important thing that needed in the whole of human life. Along with the development of computer technology, there are a significant data created and wait to be processed; we will get more advantages if it well-processed, if not we will see the data explosion, the data is just a useless stack. Research mitigates the other research paper and makes a conclusion and a report by PRISMA method. The development of computer technology will support the development of an organization. Considering any factors in choosing the right and suitable high-performance computer resource due to our organization is a must. The existing high-performance computing forms are Supercomputer, Grid Computing, Cluster Computing, and Cloud Computing. Based on this work, the last form of high-performance computing, Cloud Computing is one of the most used forms thus we mitigate its advantages and disadvantages. Recently, to process this vast data, we must have a high-performance comput...

Automatic Control and Computer Sciences, 2019

Spherical data is found in many applications. By modeling the discretized sphere as a graph, we can accommodate non-uniformly distributed, partial, and changing samplings. Moreover, graph convolutions are computationally more efficient than spherical convolutions. As equivariance is desired to exploit rotational symmetries, we discuss how to approach rotation equivariance using the graph neural network introduced in Defferrard et al. (2016). Experiments show good performance on rotation-invariant learning problems. Code and examples are available at https://github.com/SwissDataScienceCenter/DeepSphere. CMB temperature map (Planck 2015)-0.00025 0.00025 galaxy count (SDSS DR14) 0 6 simulated weak lensing mass map (DES DR1 area)-0.014 0.02

Information Systems and e-Business Management, 2017

We examine how Software as a Service (SaaS) providers make different design decisions using a theoretical model. We consider two non-functional attributes: modularity of the software architecture and the architectural performance of the software. We model the relationship of these two attributes with factors such as user preferences, user demand, and the price of the service. In a significant departure from traditional models of IS product development, we considered marginal cost and maintenance cost of providing SaaS service to recognize that the SaaS service has characteristics of both a product and a service. We show how to find the optimal values of design attributes that maximize SaaS provider's profits, taking into account relevant factors such as user preferences, user demand and service price. Our research provides one of the first analytical models of optimal design decision making by SaaS providers. We use the model to further show how the SaaS providers should adjust the service design in response to changes in user preferences, associated costs and other relevant factors.

Electronic Markets, 2013

Cloud computing is a new technological paradigm that may revolutionize how organizations use IT by facilitating delivery of all technology as a service. In the literature, the Cloud is treated mainly through a technological approach focused on the concept definition, service models, infrastructures for its development and security problems. However, there is an important lack of works which analyze this paradigm adoption in SMEs and its results, with a gap between the technological development and its adoption by organizations. This paper uses a qualitative technique methodology-group meetings with managers-and a quantitative one-survey-and identifies which factors act as barriers to Cloud adoption and which positive effects its application generates in 94 industrial SMEs. The conclusion is that the main barriers are of a cultural type and that the positive effects go well beyond reducing costs.

Computer Communications and Networks, 2017

Cloud infrastructures make extensive use of hypervisors (e.g. Xen, ESX), containers (e.g. LXC) and high level virtual machines (e.g. CLR, Java), broadly known as virtual machine (VM) technologies, to achieve workload isolation and efficient resource management. Isolation is a static mechanism that relies on hardware or operating system support to be enforced. Resource management is dynamic and VMs must self-adapt or be instructed to adapt in order to fit their guest's needs. In this chapter we review the main approaches for adaptation and monitoring in virtual machines deployments, their tradeoffs, and their main mechanisms for resource management. We frame them into an adaptation loop where sensors are monitored (e.g. page utilization), decisions are made (e.g. if-else rule, proportional-integralderivative controller) and actions are performed using actuators (e.g. share page, change heap size). As is common in systems research, improvement in one property is accomplished at the expense of some other property. So, we present a taxonomy that, when applied to different solutions that use or augment virtual machines, can help visually in determining their similarities and differences. We analyze adaptability in virtual machines using three seemingly orthogonal characteristics: responsiveness (R), comprehensiveness (C) and intricateness (I). The process of classification and comparing systems is detailed and several representative state of the art systems are evaluated.

Computational Science and Its Applications – ICCSA 2017, 2017

Cloud Computing gets increasingly established in industrial practice as an option for modelling cost-efficient and demand-oriented information systems. Despite the increasing acceptance of cloud computing within the industry, many important questions remain unanswered. Issues related to the best software architectures decisions for cloud-based systems are faced with the question of appropriate techniques applying at early phase like requirements engineering. The goal of this paper defines a design of a mapping study to verify and identify the existence of relevant research gaps, which refers mainly to requirements models, tools or methods for cloud systems (SaaS). The conclusion of this mapping study design reinforces and actively encourages the necessity of the complete execution (and replication) of a systematic mapping study regarding the synergy of requirements engineering (e.g.: with model-driven issues) applied for a cloud computing.

da Fonseca/Cloud Services, Networking, and Management, 2015

Now days the market of mobile phone is growing at a very high speed. Every one has a mobile,tablet,fablet (tablet with calling facility).[1] Mobile user will reach 6.5 billion by the end of 2012,6.9 billion by the end of 2013.Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. MCC integrates the cloud computing into the mobile environment and overcomes obstacles related to the performance (e.g., battery life, storage, and bandwidth), environment (e.g., heterogeneity, scalability, and availability), and security (e.g., reliability and privacy) discussed in mobile computing. This paper gives a information about mobile cloud computing application ,security, issues. The issues, existing solutions and approaches are presented.

Computing, 2016

Distributed systems are by now commonplace, yet remain an often difficult area of research. This is partly explained by the many facets of such systems and the inherent difficulty to isolate these facets from each other. In this paper we provide a brief overview of distributed systems: what they are, their general design goals, and some of the most common types.

Journal of Physics: Conference Series, 2018

Cloud computing technology has become familiar to most Internet users. Subsequently, there has been an increased growth in the use of cloud computing, including Infrastructure as a Service (IaaS). To ensure that IaaS can easily meet the growing demand, IaaS providers usually increase the capacity of their facilities in a vertical IaaS increase capability and the capacity for local IaaS amenities such as increasing the number of servers, storage and network bandwidth. However, at the same time, horizontal scalability is sometimes not enough and requires additional strategies to ensure that the large number of IaaS service requests can be met. Therefore, strategies requiring horizontal scalability are more complex than the vertical scalability strategies because they involve the interaction of more than one facility at different service centers. To reduce the complexity of the implementation of the horizontal scalability of the IaaS infrastructures, the use of a technology service oriented infrastructure is recommended to ensure that the interaction between two or more different service centers can be done more simply and easily even though it is likely to involve a wide range of communication technologies and different cloud computing management. This is because the service oriented infrastructure acts as a middle man that translates and processes interactions and protocols of different cloud computing infrastructures without the modification of the complex to ensure horizontal scalability can be run easily and smoothly. This paper presents the potential of using a service-oriented infrastructure framework to enable transparent vertical scalability of cloud computing infrastructures by adapting three projects in this research: SLA@SOI consortium, Open Cloud Computing Interface (OCCI), and OpenStack.

New Technology, Big Data and the Law, 2017

Cloud computing" and "Big Data" are amongst the most hyped-up terms and buzzwords of the moment. After decades in which individuals and companies used to host their data and applications using their own IT infrastructure, the world has seen the stunning transformation of the Internet. Major shifts occurred when these infrastructures began to be outsourced to public Cloud providers to match commercial expectations. Storing, sharing and transferring data and databases over the Internet is convenient, yet legal risks cannot be 1 eliminated. 1 Legal risk is a fast growing area of research and covers various aspects of law. Current studies and research on Cloud computing legal risk assessment have been, however, limited in scope and focused mainly on security and privacy aspects. 2 There is little systematic research on the risks, threats and impact of the legal issues inherent to database rights 3 and "ownership" rights of data. Database rights seem to be outdated and there is a significant gap in the scientific literature when it comes to the understanding of how to apply its provisions in the Big Data era. This means that we need a whole new framework for understanding, protecting and sharing data in the Cloud. The scheme we propose in this chapter is based on a risk assessment brokering framework that works side by side with service level agreements (SLAs). This proposed framework will provide better control for Cloud users and will go a long way to increase confidence and reinforce trust in Cloud computing transactions.

The Journal of Supercomputing, 2011

In MapReduce model, a job is divided into a series of map tasks and reduce tasks. The execution time of the job is prolonged by some slow tasks seriously, especially in heterogeneous environments. To finish the slow tasks as soon as possible, current MapReduce schedulers launch a backup task on other nodes for each of the slow tasks. However, traditional MapReduce schedulers cannot detect slow tasks correctly since they cannot estimate the progress of tasks accurately (Hadoop home page http://hadoop.apache.org/, 2011; Zaharia et al. in 8th USENIX symposium on operating systems design and implementation, ACM, New York, pp. 29-42, 2008). To solve this problem, this paper proposes a History-based Auto-Tuning (HAT) MapReduce scheduler, which calculates the progress of tasks accurately and adapts to the continuously varying environment automatically. HAT tunes the weight of each phase of a map task and a reduce task according to the value of them in history tasks and uses

Spatial Information Research, 2017

Spatial data infrastructure had ensured the availability of geospatial data over the local and global boundaries to be used in more flexible and efficient manner. With the enhancement in web service technologies the need of geoprocessing the geospatial data from various heterogeneous sources over the web, to produce valuable information is of great interest among research community. Towards this implementation of geoprocessing web, open geospatial consortium (OGC) has provided several web processing service standards for handling the geoprocess over the web. Most of the current existing geoprocessing web platforms inherit the capabilities of these web processing service standards and protocols define by OGC. However there exist several challenges that includes, growing intensity of data, high performance computing, real time data processing, and to provide robust, reliable, and cost effective geoprocess services to the end user. The future of geo-processing lies in the adoption of cloud computing to overcome the existing challenges. Characteristics of cloud computing including scalability, elasticity, pay-per-use, and self provisioning, offers a more reliable, on demand, and cost effective geoprocessing services to its end user. In this context the study makes an attempt to analyze the current state of geoprocessing services over cloud, with exiting GIS Cloud platform solutions in the literature to counter the challenges of GIS cloud. Furthermore, study proposes a design and architectural framework for geoprocessing over Cloud platform, based on OGC standards. The architecture includes developing geoprocessing service, and data management services as an essential part while storing/processing the geospatial data from heterogeneous sources. The architecture model including data management and geoprocessing can be bind together in a cloud platform to have an on demand service as per the requirement of end user. Keywords Geographic information system (GIS) Á Web processing services (WPS) Á Web featured services (WFS) Á Web mapping services (WMS) Á Spatial cloud computing (SCC) Á Spatial data infrastructure (SDI)

Lecture Notes in Electrical Engineering, 2016

The use of cloud solution to support ERP system has become the priority of many organizations to stay competitive in the current global world. This research will be focusing on the user acceptance of SaaS ERP (SAP ByDesign) in a global construction tool provider considering perceived risk, cost and system performance. Due to many unique variables, the purpose of this research is to analyze and investigate issues related to acceptance of SaaS in the construction tool provider companies. The results of this research can help both organizations and researchers to build a fundamental level on understanding how these factors that can predict the user acceptance of SaaS ERP in a global construction tool provider company which significantly beneficial. 80 users ranging from executive and higher management level globally were targeted. SAS Enterprise Guide 5.1 was used to analyze respondents' data and SAS dataset was then run by SAS Enterprise Guide 5.1 to produce descriptive analysis, Cronbach alpha, factor analysis and PLS-SEM will be used to analyses the responses and each hypothesis will be tested based on the data consolidated. Lastly, Partial Least Square-SEM will be performed to summarize and give an analysis of the research model proposed.

Concurrency and Computation: Practice and Experience, 2011

With more and more enterprises sharing their sensitive data on cloud servers, building a secure cloud environment for data sharing has attracted a lot of attention in both industry and academic communities. In this paper, we propose a conjunctive precise and fuzzy identity-based encryption (PFIBE) scheme for secure data sharing on cloud servers, which allows the encryption of data by specifying a recipient identity (ID) set, or a disjunctive normal form (DNF) access control policy over attributes, so that only the user whose ID belonging to the ID set or attributes satisfying the DNF access control policy can decrypt the corresponding data. Our design goal is to propose a novel encryption scheme, which simultaneously achieves a fine-grained access control, flexibility, high performance, and full key delegation, so as to help enterprise users to enjoy more secure, comprehensive, and flexible services. We achieve this goal by first combining the hierarchical identity-based encryption (HIBE) system and the ciphertextpolicy attribute-based encryption (CP-ABE) system, and then marking each user with both an ID and a set of descriptive attributes, finally separating the access control policy into two parts: a recipient ID set and a DNF attribute-based access control policy.

Complexity, 2019

Organizations are increasingly looking to adopt the Internet of Things (IoT) to collect the data required for data-driven decision-making. IoT might yield many benefits for asset management organizations engaged in infrastructure asset management, yet not all organizations are equipped to handle this data. IoT data is collected, stored, and analyzed within data infrastructures and there are many changes over time, resulting in the evolution of the data infrastructure and the need to view data infrastructures as complex adaptive systems (CAS). Such data infrastructures represent information about physical reality, in this case about the underlying physical infrastructure. Physical infrastructures are often described and analyzed in literature as CASs, but their underlying data infrastructures are not yet systematically analyzed, whereas they can also be viewed as CAS. Current asset management data models tend to view the system from a static perspective, posing constraints on the ext...

ACM Computing Surveys, 2023

Fog computing is a paradigm that brings computational resources and services to the network edge in the vicinity of user devices, lowering latency and connecting with cloud computing resources. Unlike cloud computing, fog resources are based on constrained and heterogeneous nodes whose connectivity can be unstable. In this complex scenario, there is a need to define and implement orchestration processes to ensure that applications and services can be provided, considering the settled agreements. Although some publications have dealt with orchestration in fog computing, there are still some diverse definitions and functional intersection with other areas, such as resource management and monitoring. This article presents a systematic review of the literature with focus on orchestration in fog computing. A generic architecture of fog orchestration is presented, created from the consolidation of the analyzed proposals, bringing to light the essential functionalities addressed in the lit...

Journal of Network and Systems Management, 2018

Cloud computing has increasingly attracted a large number of entrepreneurs to deploy innovative web services to expand the horizon of their businesses. The selection of trustworthy services, by considering the adequate QoS parameters, is imperative for the cloud service consumers to fulfill their requirements. Over the years, many studies have been carried out to establish trust between service providers and cloud service consumers. The findings of these studies need to be analyzed in order to explore the essential features and limitations with respect to the essential QoS requirements. Therefore, a systematic literature review has been performed in this study with an aim to identify and classify the existing research on trust establishment and estimation in cloud services. A critical review of the existing literature has been presented along with the identification of potential future research avenues. This study has also highlighted the need of improving the service selection process by employing user preferences based on their particular application domains in the context of utility.

Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, 2017

Web applications hosted on the cloud are exposed to cyberattacks and can be compromised by HTTP requests that exploit vulnerabilities. Platform as a Service (PaaS) offerings often provide a backup service that allows restoring application state after a serious attack, but all valid state changes since the last backup are lost. We propose Rectify, a new approach to recover from intrusions on applications running in a PaaS. Rectify is a service designed to be deployed alongside the application in a PaaS container. It does not require modifications to the software and the recovery can be performed by a system administrator. Machine learning techniques are used to associate the requests received by the application to the statements issued to the database. Rectify was evaluated using three widely used web applications-Wordpress, LimeSurvey and MediaWiki-and the results show that the effects of malicious requests can be removed whilst preserving the valid application data.

EIGHTH INTERNATIONAL CONFERENCE NEW TRENDS IN THE APPLICATIONS OF DIFFERENTIAL EQUATIONS IN SCIENCES (NTADES2021), 2022

Saas Management plays an important role in assisting small and medium sized business (SMEs) in keeping track of inventory and coordinating transaction processing. Effective tools and facilities, particularly modern information and communication technologies are required for effective sales management. Despite this, the bulk of enterprises in the developing countries, particularly those in remote are, depend on foreign capital. Softwareas-a-Service (SaaS) is now facilitating in various ways to support the business critical marketing methods and sales strategies.

Engineering International

The software delivery model known as Software as a service (SaaS) has evolved from cutting-edge innovation to an essential technology for many companies. However, due to the extensive range of cloud services that companies offer as part of their SaaS offerings, it is indispensable to thoroughly comprehend the dangers associated with using these services. This article describes those dangers and recommendations for the most effective methods of control that are open to managers. This study's objective is to investigate the factors of Technological Complexity, Security and Risk, and Technical Support within an organization to determine how these factors can influence an organization's end-use intention regarding cloud technology. The availability of technical support, the complexity of use, and the organization's training have been highlighted as the most crucial factors of this aim. The findings suggest that complexity negatively influences intention to use, although trai...

Journal of Grid Computing, 2012

Over the last decade, Grid computing paved the way for a new level of large scale distributed systems. This infrastructure made it possible to securely and reliably take advantage of widely separated computational resources that are part of several different organizations. Resources can be incorporated to the Grid, building a theoretical virtual supercomputer. In time, cloud computing emerged as a new type of large scale distributed system, inheriting and expanding the expertise and knowledge that have been obtained so far. Some of the main characteristics of Grids naturally evolved into clouds, others were modified and adapted and others were simply discarded or postponed. Regardless of these technical specifics, both Grids and clouds together can be consid-to address the most important difficulties of Grid and cloud management.

Journal of Network and Systems Management, 2019

This paper introduces a mechanism for pricing and exchanging resources in federated networks of task-processing elements. An operational model is developed to allocate processing, storage and communication resources to computational demands. This model finds an efficient and stable solution to combinatorial routing and allocating resources among networked elements with technical constraints. Using mixed-integer linear programming (MILP) formulation, we find optimal solution to processing tasks, allocating links, storing and delivering data to destination. A trusted auctioneer uses a mechanism to allocate resources to computational tasks and suggests prices for exchanging resources across a federation using minimum number of MILP solutions to a network topology. The proposed mechanism maximizes the collective value for a federation and ensures an expected value for each federate and minimizes the computational cost associated with the operational runs. The auctioneer doesn't have access to utility functions and private information on resources a priori while assumes a federation with self-centric and rational participants. An application of federated satellite systems is developed with endogenous components such as adaptive bidding and opportunity cost of using resources. Numerical results show that the proposed mechanism improves the collective and expected values in a federation with strategic federates.

Cloud Computing and Big Data: Technologies, Applications and Security, 2018

One of the most challenging issues in cloud computing is workflow scheduling. Workflow applications have a complex structure and many discrete tasks. Each task may include entering data, processing, accessing software, or storage functions. For these reasons, the workflow scheduling is considered to be an NP-hard problem. Then, efficient scheduling algorithms are required for selection of best suitable resources for workflow execution. In this paper, we conduct a SLR (Systematic literature review) of workflow scheduling strategies that have been proposed for cloud computing platforms to help researchers systematically and objectively gather and aggregate research evidences about this topic. Then, we present a comparative analysis of the studied strategies. Finally, we highlight workflow scheduling issues for further research. The findings of this review provide a roadmap for developing workflow scheduling models, which will motivate researchers to propose better workflow scheduling algorithms for service consumers and/or utility providers in cloud computing.

Construction Research Congress 2018, 2018

The uniqueness of the construction industry can be understood in the large volumes of information in terms of paper works, processes, and communication disseminated daily. The voluminous information requires close coordination which cloud based systems offer. The aim of this research is to assess the linkages and leakages in a cloud-based computing collaboration among construction stakeholders. A purposive sampling technique was used in selecting the participants of the study. A questionnaire based instrument was distributed to eighty (80) construction stakeholder in Lagos State, Nigeria. The data collected was analyzed using SPSS v.21. Statistical tools such as frequencies, stacked bars, mean scores, factor analysis, and analysis of variance (ANOVA) were used in the study. The result of the study revealed that construction stakeholders rarely utilize cloud-based technologies for their construction processes. Construction professionals that access cloud based technologies, do so with their smart mobile phones, laptops, and tablet. The study classified the leakages that exist in the use of cloud-based technologies as securitybased factors, cloud-based infrastructure factors, and cloud-based benefits deficiency based factors. In conclusion, the study revealed that the linkages in the use of cloudbased technologies include knowledge sharing, remote access of back-office activities and engendering collaboration among construction stakeholders. It was recommended that construction stakeholders should leverage on the benefits cloud-based technologies has to offer in today's competitive economy. Construction stakeholders should be adequately informed on the available cloud-based computing technologies and the additions it can bring into the construction process. Cloud computing technology vendors should improve on the security and privacy features of the platform for adequate protection of building data.

Wireless Personal Communications, 2016

The potential market of cloud computing has encouraged various providers to offer their services on the cloud platform. This ever growing number of cloud providers is resulting in the demand of the brokering services for cloud computing providers as the consumers requires support in acquiring appropriate services for their functionality. It require a lot of time and efforts in analyzing the market and information about various service providers. To cope up with this problem it is better for consumers to use a brokering service to finalize the cloud service provider. In last few years, the researchers have focused on developing brokering services for cloud computing environment. Mostly these brokers performs the matching of consumers requirement and facilities provided by provider. Some of the brokers also performs the ranking of providers to help the consumers. However, these broker performs this matching only on the basis of the demand of cloud resources such as processor, RAM, disk space, bandwidth etc. We call these parameters as standard attributes. In this paper, we proposed a multipurpose cloud broker system to search cloud resources with the help of standard and custom attributes and control these resources. The cloud broker provides an optimized list of cloud resources based on selected attributes to help the consumer in selection of most suitable resources. Two level architecture is used to develop this cloud broker system. At level one, there is a master broker, which consists of three modules namely registration, searching and controlling. At the second level, there is a local broker on each resource provider site. It provides information of resources to master broker and help consumers to control their leased resources. This local broker works under control of master broker. Extensive experiments have been performed to prove the effectiveness of the

Cluster Computing, 2019

Scientific workflows are abstractions composed of activities, data and dependencies that model a computer simulation and are managed by complex engines named scientific workflow management system (SWfMS). Many workflows demand many computational resources once their executions may involve a number of different programs processing a massive volume of data. Thus, the use of high-performance computing (HPC) and data-intensive scalable computing environments allied to parallelization techniques provides the necessary support for the execution of such workflows. Clouds are environments that already offer HPC capabilities and workflows can explore them. Although clouds offer advantages such as elasticity and availability, failures are a reality rather than a possibility in this environment. Thus, existing SWfMS must be fault-tolerant. There are several types of fault tolerance techniques used in SWfMS such as Checkpoint/Restart, Re-Execution and Over-provisioning, but it is far from trivial to choose the suitable fault tolerance technique for a workflow execution that is not going to jeopardize the parallel execution. The major problem is that the suitable fault tolerance technique may be different for each workflow, activity or activation since programs associated with activities may present different behaviors. This article aims at analyzing several fault-tolerance techniques in a cloud-based SWfMS named SciCumulus, and recommend the suitable one for user's workflow activities and activations using machine learning techniques and provenance data, thus aiming at improving resiliency.

International Journal of Cloud Applications and Computing, 2013

As a very recent IT paradigm, Cloud Computing is gaining momentum and receiving more and more interest in literature. With various characteristics such as offering flexibility, cost reductions, platform independence and on-demand service, cloud approach opens up tremendous opportunities from Supply Chain (SC) perspective. However, extant literature reveals that adoption and assimilation of the technology is not mature in SC domain and cloud-based modelling initiatives are only recent. To fill this gap, this study discusses the opportunities of cloud computing from SC perspective and proposes a generic representation based on cloud philosophy. The proposed representation is conceptual, flexible and customizable, utilizing and highlighting the cloud benefits in a multi-partner setting. Therefore, this article is an answer to the research questions: “what are the opportunities of cloud philosophy for SC domain?” and “how can supply chains be represented generically based on cloud techn...

Concurrency and Computation: Practice and Experience, 2015

The concept of virtualization is one of the most important technologies to construct a cloud service, and especially hardware virtualization is indispensable for infrastructure as a service (IaaS) where the cloud offering, infrastructure, is usually provided as a pool of virtual machine (VM) instances. For that reason, many public IaaS clouds like Amazon Web Service and private cloud toolkits such as Eucalyptus and OpenStack provide users with methods for managing VM instances via APIs, command-line tools, web services, and so on. These are, however, not easy to use or customize for the average end users, especially for those in scientific research areas who just want to perform their work on a cloud and do not need to know the underlying technologies that much. Utilizing workflow management systems (WfMSs) in managing VMs on a cloud can alleviate these difficulties. Users only need to describe parameters needed for VMs and enact the workflow on a workflow enactment engine using user-friendly interfaces. We propose a management scheme for VM instances on a cloud with the WfMS in this paper. We present a preliminary study on integrating cloud and WfMS focusing on management of VM instances and show an early implementation for a proof of concept with detailed explanations and possible usage scenarios. Copyright

Ukrainian Journal of Educational Studies and Information Technology

Globally, higher education institutions are increasingly digitising their operations. A bustling and expanding ecosystem of digital platforms in higher education includes online teaching and research, decision-making using learning and business analytics, and building "smart" campuses. Universities do not digitalise on their own but depend on proprietary digital platforms. This study focuses on how digitalisation impacts higher education institutes in Sri Lanka. This study used a methodology based on a qualitative survey, and the research used personal interviews to collect the required data. The research findings disclosed that although all stakeholders within the higher education institutes had to adapt to forced digitalisation, most were not ready to accept it as the main element defining current-day higher education. Higher education institutes, students, and teachers are the mainly affected parties in the forced digitalisation because of Covid-19. The main factors inf...

Software: Practice and Experience, 2011

Cloud computing promises a radical shift in the provisioning of computing resource within the enterprise. This paper describes the challenges that decision makers face when assessing the feasibility of the adoption of cloud computing in their organisations, and describes our Cloud Adoption Toolkit, which has been developed to support this process. The toolkit provides a framework to support decision makers in identifying their concerns, and matching these concerns to appropriate tools/techniques that can be used to address them. Cost Modeling is the most mature tool in the toolkit, and this paper shows its effectiveness by demonstrating how practitioners can use it to examine the costs of deploying their IT systems on the cloud. The Cost Modeling tool is evaluated using a case study of an organization that is considering the migration of some of its IT systems to the cloud. The case study shows that running systems on the cloud using a traditional "always on" approach can be less cost effective, and the elastic nature of the cloud has to be used to reduce costs. Therefore, decision makers have to be able to model the variations in resource usage and their systems" deployment options to obtain accurate cost estimates.

Electric Power Components and Systems, 2018

The distribution systems, considering the Smart Grid concept, shall undergo a profound transformation in the next years to enable a more robust, reliable, sustainable, efficient, and economical system. This modernization can only be achieved with the pervasive use of Information and Communications Technologies in order to integrate and manage this whole system. In this way, cloud computing has been envisioned as a technology capable of making possible this integration, providing distributed data storage and parallel processing. In this paper, the potential applications of cloud computing in smart distribution systems are highlighted, presenting an overview of the main related researches in the topic. It is also described the main technologies and innovations that will support the smart distribution systems, as well as the foundations of cloud computing.

Supporting University Ventures in Nanotechnology, Biomaterials and Magnetic Sensing Applications, 2017

Using information technologies can contribute significantly to the successful start of a company and its later progress. However, successful implementation is connected to certain expenses, which smaller companies (such as university spin-off companies) usually cannot afford. The analysis of existing approaches to implementation of IT and information systems will be performed in this chapter, along with the study of applicability of their use in university spin-off companies. As a conclusion, we will propose the best way to choose and use IT systems.

Procedia Computer Science, 2021

The article aims to present one of the methods of supporting decision-making by non-specialists, using the experience of experts in each field, in this case, specialists using the services provided in the computing cloud model. The broad spectrum of cloud-based services makes it difficult for decision-makers to choose a single solution from the many available options. A solution to the decision problem was proposed using the method of hierarchical analysis of decision problems. Five cloud service providers were selected, and the classification was made according to five criteria. The analysis is based on the author’s research.

European Journal of Science and Technology, 2022

Öz Nesnelerin İnterneti (IoT) alanında yaşanan büyük gelişmeler ve internete bağlı nesne/cihaz sayısında artış hızla devam etmektedir. Bu artışla birlikte verinin analiz edilmesi, depolanması ve anlamlandırılması gibi kavramların önemi gitgide artırmaktadır. Bu artış aynı zamanda çözülmesi gereken bazı problemleri de ortaya çıkarmaktadır. Bu problemlerden hız, bant genişliği ve gecikmeye çözüm olması düşünülen yeni nesil hücresel ağ teknolojisinin (5G) beklenen iyileştirmeyi sağlayabilmesi için yazılım ve donanım çalışmalarına ihtiyaç duyulmaktadır. Yeni nesil teknolojinin ihtiyaçlarına cevap verebilme ve artan IoT cihazları ile ortaya çıkan verinin analizi ve son kullanıcı gereksinimlerinin karşılanması için Sis, Kenar ve Bulut Bilişim (KSB) teknolojileri oldukça önemlidir. Gelişen ve büyüyen bir ağ yapısına sahip olan IoT her geçen gün mevcut ihtiyaçların yeniden ele alınmasını gerektirmektedir. Bu büyümeye paralel olarak problemlerin üstesinden gelmek için birçok araştırmacı bu alanda çalışmaktadır. Yapılan literatür çalışmasına göre, merkezileştirilmiş ağ yapısından çok, dağıtılmış ağ yapısı ve KSB teknolojisinin kullanılması gecikme, enerji tasarrufu, bant genişliği için çözüm olduğu görülmüştür. Bu çalışmada KSB kavramları ile IoT alanında sağlamış oldukları çözümlere değinilerek son yenilikler ele alındı. Ayrıca hala devam eden problemlerden bahsedilerek KSB teknolojileri IoT ile karşılaştırmalı olarak analiz edilerek elde edilen sonuçlar dile getirildi.

Concurrency and Computation: Practice and Experience, 2020

In the last few years, Apache Spark has become a de facto the standard framework for big data systems on both industry and academy projects. Spark is used to execute compute-and data-intensive workflows in distinct areas like biology and astronomy. Although Spark is an easy-to-install framework, it has more than one hundred parameters to be set, besides domain-specific parameters of each workflow. In this way, to execute Spark-based workflows efficiently, the user has to fine-tune a myriad of Spark and workflow parameters (eg, partitioning strategy, the average size of a DNA sequence, etc.). This configuration task cannot be manually performed in a trial-and-error manner since it is tedious and error-prone. This article proposes an approach that focuses on generating interpretable predictive machine learning models (ie, decision trees), and then extract useful rules (ie, patterns) from these models that can be applied to configure parameters of future executions of the workflow and Spark for nonexperts users. In the experiments presented in this article, the proposed parameter configuration approach led to better performance in processing Spark workflows. Finally, the approach introduced here reduced the number of parameters to be configured by identifying the most relevant domain-specific ones related to the workflow performance in the predictive model.

International Journal of Scientific Research in Science, Engineering and Technology, 2019

Cloud computing is a technology that allows user to use computation, storage and data access services. Cloud computing is about moving services, computation and data for cost and business advantage. It is a location-transparent, centralized facility. These services are provided on the basis of cast. By making data available in the cloud, it can be more easily accessed often at much lower cost, increasing its value by enabling opportunities for enhanced collaboration, integration, and analysis on a shared common platform. This paper explores the definition, nature and potential of cloud computing and research questions related to cloud computing.

Organization Theory Review, 2018

Dynamic Green (Pvt.) Limited is the latest initiative of the Dynamic group of companies to tackle the most challenging issue faced by Pakistan that is energy crisis. In Pakistan, the manufacturing industry, businesses, and households face energy shortfalls. To achieve the objective of reduction in energy crises, Dynamic Green (Pvt.) Limited has started the first integrated energy project. The aim of this study is to explore the delay factors and their causes in an integrated energy project by Dynamic Green (Pvt.) Limited. Qualitative research methodology was used in this study. Data was collected through semi-structured interviews conducted with those employees of Dynamic Green (Pvt.) Limited who had been actively involved in this integrated energy project. NVivo v11 software was used to analyze the critical delay factors and their causes. By applying the word cloud and thematic analysis, the study found that communication gap, improper planning, incomplete documents, poor organizat...

International Journal of Information Technology, 2018

Cloud computing is a new business model that provides facility to avail computing power on demand anytime, anywhere. It is highly elastic and can grow or shrink dynamically according to client need. Virtual machine migration (VMM) plays very important role to provide the power of elasticity to cloud environment. VMM generates considerable amount of overhead and also degrades overall performance of cloud environment. So it becomes very important to decide when to migrate and when not. In this paper, we present challenges and short comings in existing virtual machine migration approaches. Most of them monitor the resources at the hypervisor level. To overcome these short comings we have introduced real time resource monitoring (RTRM) model for selection of the hotspot host and when virtual machine migration should take place. Our result shows significant improvement in the hotspot detection as compared to primitive techniques.

Lecture Notes in Business Information Processing, 2011

Software-as-a-Service providers have been growing fast while the contemporary research literature has neglected analysis of their business-critical marketing and sales processes. In this paper we collect the key factors characterizing how to market and sell SaaS to business customers into an eight dimensional model. We also use an explorative multi-case study to observe six SaaS providers and validate the model. The interviewed providers emphasized use of the Internet for marketing communication while personal direct sale was the dominating sales approach. Customer acquisition cost was the key performance indicator for marketing and sales while customer lifetime value and churn were the KPIs in customer relationship management.

Creating Learning-Friendly Environments

Netbooks are mini-laptop computers designed for mobility, online access and general office applications. Their great popularity with consumers promises equal impact on the technological landscape. This chapter is an exploration into the current state of netbook technology, its strengths and weaknesses, impacts on society and industry, and the challenges for deployment in educational institutions. While a netbook may not be able to satisfy all educational requirements because of performance and security issues, it is a reasonable alternative to fulfill the basic need for most students. Faculty and students will use netbooks on their own because they are trendy, cheap and portable. It is important for educational technologists to get involved, establishing policies so that the technology can be used safely.

Advances in Computer and Electrical Engineering, 2019

We are witnessing the business prospects of cloud computing becoming apparent as many cloud computing services have been made available online. Previously, outsourcing of computing resources employs a third party to set up, develop, and maintain the infrastructure within or outside the business organization. However, nowadays many business organizations all over the world see that outsourcing their computing resources through cloud computing is a highly viable option as it saves a business organization from the complicated setup and maintenance costs of computer infrastructure. There are three generally known types cloud computing, namely public cloud, private cloud, and hybrid cloud. There also three generally service models namely software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). This chapter highlights the development of cloud computing technology, benefits and issues of outsourcing an organization's computing resources throug...