Cloud Broker

— Inter-cloud is an approach that facilitates scalable resource provisioning across multiple cloud infrastructures. In this paper, we focus on the performance optimization of Infrastructure as a Service (IaaS) using the meta-scheduling paradigm to achieve an improved job scheduling across multiple clouds. We propose a novel inter-cloud job scheduling framework and implement policies to optimize performance of participating clouds. The framework, named as Inter-Cloud Meta-Scheduling (ICMS), is based on a novel message exchange mechanism to allow optimization of job scheduling metrics. The resulting system offers improved flexibility, robustness and decentralization. We implemented a toolkit named “Simulating the Inter-Cloud ” (SimIC) to perform the design and implementation of different inter-cloud entities and policies in the ICMS framework. An experimental analysis is produced for job executions in inter-cloud and a performance is presented for a number of parameters such as job ex...

This paper aims to focus on the usability evaluation of two interactive and popular cloud PaaS (Platform as a Service) providers namely Microsoft Azure and Appharbor. Usability evaluation has been carried out in two stages: Performance evaluation is carried out by taking CPU Utilization, Memory Usage and Disk Seeking Rate as essential parameters and in next stage customer satisfaction is measured by considering user feedback mechanism based on Interview and Questionnaire method.

With rapidly increasing pervasive computing and ubiquitous services, a lot of data is being generated. With the advent of Internet of Things (IoT), heterogeneous devices and objects can become part of it and generate data with different frequencies. It is becoming very difficult to handle all that data, specially at the IoT end. Cloud computing plays a very vital role here. IoTs can be integrated with cloud computing, to form Cloud of Things (CoT). By this, resource constrained devices would be free from doing extensive tasks. For the resource management of CoT, pricing and billing is one of the important aspects. In this paper, we present the way of estimating prices and perform billing for different types of cloud service customers (CSCs), for different services, through a mathematical model. We implemented our model using Java and evaluated its performance through CloudSim simulation toolkit.

With rapidly increasing pervasive computing and ubiquitous services, a lot of data is being generated. With the advent of Internet of Things (IoT), heterogeneous devices and objects can become part of it and generate data with different frequencies. It is becoming very difficult to handle all that data, specially at the IoT end. Cloud computing plays a very vital role here. IoTs can be integrated with cloud computing, to form Cloud of Things (CoT). By this, resource constrained devices would be free from doing extensive tasks. For the resource management of CoT, pricing and billing is one of the important aspects. In this paper, we present the way of estimating prices and perform billing for different types of cloud service customers (CSCs), for different services, through a mathematical model. We implemented our model using Java and evaluated its performance through CloudSim simulation toolkit.

Cloud brokering service is an intermediate service which enables the producer-consumer business model enforcing the easy access to cloud services from Cloud Service Providers (CSPs). Cloud broker is to provide a platform where broker collects the information from the user, analyze the data, and sends those data to the CSPs. Cloud broker also provides data integration services and modeling the data across all the components or units of the cloud services. This paper deals with designing criteria and issues of cloud broker, system activity of broker, and sequence diagram of system design with implementation procedure.

Cloud computing has received considerable interest from research institutions, developers, and individuals in the last years. A trace’s cluster of approximately 12,500 machines, referred to as the "Google cluster trace” had been initiated by Google. This paper examines the characteristics, download process and tools, and analysis of this trace dataset in an attempt to provide insights into a type of trace date similar to the date which is in the cloud environment. We analyzed trace dataset by using the K-means clustering algorithm executed over SQL Server to use the implemented methodology for enhancing cloud environment performance by allocating the data into clusters. This allocation was aimed to be used in distributing the upcoming tasks to the most suitable cluster, then to the most suitable machine which covers its need for resources. The clustering process generates some clusters depending on CUP rate for each task, these clusters represent the machines suitable to each r...

Cloud computing has become the most attractive field in industry and research. Metadata as a Service (MetaaS) is an emerging technique that could help the cloud users, and cloud service providers (CSPs) according their needs. The increasing of the speed of searching and acquiring against the number of the data services in cloud computing that has leads the researchers to think about implementing a new technique. MetaaS model uses to serve as a backbone for providing and searching for data storage in cloud computing. MetaaS model consists of three main layers as Metadata component, cloud users and CSPs. The Metadata components consists of six main components as Metadata Entity (ME), Metadata File Information (MFI), Metadata Catalog Service (MCS), Metadata Management Engine (MME), Metadata Capturing (MC) and Metadata Analysis (MA). In this paper, an approach for enabling searching, storing, accessing, retrieving, and capturing the data from Cloud Data Storage (CDS) based on MetaaS model is presented. Taking the production of CDS service as example, this paper gives formal analysis of system running and compares with other related work. The results show that the model presents good reference on the construction of cloud computing applications and services according to the cloud services functionalities and MetaaS components.

Scheduling refers to a set of policies and mechanisms to control the order of work to be performed by a computer system. CPU is by far the most important resource of the computer system. Recent advances in software and architecture of the system increased the complexity of the processing as the computing is now distributed and parallel. Job scheduling is complex in this environment. The VM (Virtual Machine) can use a distinctive VCPUs (Virtual CPU) running queue for each physical CPU, which is referred to Partition Queue Model (PQM). As a contrast, a Sharing Queue Model (SQM) of CPU scheduling algorithm can be used. This paper is analyzing and evaluating the performance of various CPU scheduling in cloud environment using CloudSim.

Cloud computing is a varied computing archetype uniting the benefits of service-oriented architecture and utility computing. In cloud computing, resource allocation and its proper utilization, to achieve a higher throughput and quality of service (QoS), has become a great research issue. This paper highlights a new cloudlet allocation strategy that utilizes all available resources efficiently and enhances the QoS by applying deadline-based workload distribution. It is believed that this paper would benefit both cloud users and researchers in various aspects. The entire experiment is done in Cloudsim Toolkit-3.0.3, by modifying the required classes. Keywords Cloud computing • Service-oriented architecture (SOA) • Quality of service (QoS) • Cloudsim Toolkit-3.0.3 • Cloud user (CU) B Sourav Banerjee

Media content in its digital form has been rapidly scaling up, resulting in popularity gain of cloud computing. Cloud computing makes it easy to manage the vastly increasing digital content. Moreover, additional features like, omnipresent access, further service creation, discovery of services, and resource management also play an important role in this regard. The forthcoming era is interoperability of multiple clouds, known as cloud federation or inter-cloud computing. With cloud federation, services would be provided through two or more clouds. Once matured and standardized, inter-cloud computing is supposed to provide services which would be more scalable, better managed, and efficient. Such tasks are provided through a middleware entity called cloud broker. A broker is responsible for reserving resources, managing them, discovering services according to customer's demands, Service Level Agreements (SLAs) negotiation, and match-making between the involved service provider and the customer. So far existing studies discuss brokerage in a narrow focused way. In the research outcome presented in this paper, we provide a holistic brokerage model to manage on-demand and advance service reservation, pricing, and reimbursement. A unique feature of this study is that we have considered dynamic management of customer's characteristics and historical record in evaluating the economics related factors. Additionally, a mechanism of incentive and penalties is provided, which helps in trust build-up for the customers and service providers, prevention of resource underutilization, and profit gain for the involved entities. For practical implications, the framework is modeled on Amazon Elastic Compute Cloud (EC2) On-Demand and Reserved Instances service pricing. For certain features required in the model, data was gathered from Google Cluster trace.

Cloud Computing conducts application, infrastructure services or platform to a very large amount of users with more choices and continuous changing requirements. Cloud providers are occupied in organizing data warehouses to arrange the continuous growth in cloud user’s acceptance. Features of cloud computing services have afforded an important tendency of companies choosing these services. In this case, many cloud users, who intend a certain service, and many cloud providers, who provision those services, create a competitive market. When constructing a Cloud scheduling scheme, the project trade-offs of the Cloud architecture should be rated. The simplest manner to rate this infrastructure is to use a simulation tool called CloudSim simulation toolkit. To reduce/avoid SLA violations in the cloud computing system, in our work we propose a SLA reduction framework in which we have considered three steps: Migration control of VMs, Energy efficiency and VmScheduling. It is also implement...

Security and trust in service providers is a major concern in the use of cloud services and the associated process of selecting a cloud service provider that meets the expectations and needs s is not easy. As a solution we propose a broker architecture model that enables us to build a security reputation framework for cloud service providers, capturing comprehensive evidence of security information to build its trust and security reputation

The need for storage and instant access to personal data (patient or professional) in Moroccan healthcare is exponential. Thus, the access needs of health professionals to different health information necessitate continuity of care, hence an architecture based on the concept of the cloud proves necessary. Considering the increasing demands placed on healthcare providers for infrastructure, systems and support, cloud computing will be the appropriate solution to meet the needs for care coordination, collaboration and communication between the different actors in the field Of health. Cloud Computing represents an evolution of information systems. Cloud computing brings a new approach to computing, a different way of using computer resources. This development has given existence to several providers offering multiple services. Then, Cloud end users are faced with the choice of the appropriate provider in terms of supported technologies, security and access rules. So, the sector aims to...

The cloud computing model offers a shared pool of resources and services with diverse models presented to the clients through the internet by an on-demand scalable and dynamic pay-per-use model. The developers have identified the need for an automated system (cloud service broker (CSB)) that can contribute to exploiting the cloud capability, enhancing its functionality, and improving its performance. This research presents a dynamic congestion management (DCM) system which can manage the massive amount of cloud requests while considering the required quality for the clients’ requirements as regulated by the service-level policy. In addition, this research introduces a forwarding policy that can be utilized to choose high-priority calls coming from the cloud service requesters and passes them by the broker to the suitable cloud resources. The policy has made use of one of the mechanisms that are used by Cisco to assist the administration of the congestion that might take place at the...

Cloud computing can be defined as a new computing model which suggests solutions for providing information technology services analogous to utility services such as power electricity, telephone. Thanks to the virtualization technology, most of Cloud datacenters use this technology for performance improvement. This technology transforms a physical server to several virtual machines. With regard to this property, virtual machines can be transferred from one place to another place that is called migration. PreCopy is one of the main methods in migration techniques. An important problem in this method is that when the memory pages are changed (dirty pages) faster than sending pages to a destination, the process of migration will take a long time that is the case in transferring virtual machines. In this paper, a solution is proposed that sets up the speed of virtual machines in terms of CPU frequency and makes a balance between senders and receivers in pre-copy algorithm. The results sh...

Cloud computing offers opportunities to access remote physical and virtual resources. Due to the continuing development of cloud computing, many challenges face this technology. One of these challenges is tasks scheduling. It refers to the process of allocating users’ tasks to virtual machines (VMs) with a goal of minimizing the turnaround time and improving the resource utilization. Tasks scheduling is considered NP hard problem with O(mn ) run time complexity to schedule n tasks on m resources. The process of tasks scheduling consumes a large solution space and with lacking of algorithms that can find the optimal solution in a polynomial run time. This paper presents a review study of various task scheduling algorithms in cloud environment including: RR, MaxMin, MinMin, FCFS, MCT, PSO, and GA, with a case study on modified round robin (MRR) algorithm. The MRR algorithm has been tested using CloudSim toolkit. The results show that when using the MRR algorithm to schedule a number o...

The cloud computing model offers a shared pool of resources and services with diverse models presented to the clients through the internet by an on-demand scalable and dynamic pay-per-use model. The developers have identified the need for an automated system (cloud service broker (CSB)) that can contribute to exploiting the cloud capability, enhancing its functionality, and improving its performance. This research presents a dynamic congestion management (DCM) system which can manage the massive amount of cloud requests while considering the required quality for the clients’ requirements as regulated by the service-level policy. In addition, this research introduces a forwarding policy that can be utilized to choose high-priority calls coming from the cloud service requesters and passes them by the broker to the suitable cloud resources. The policy has made use of one of the mechanisms that are used by Cisco to assist the administration of the congestion that might take place at the...

Context: Developments in cloud computing have made it attractive for consumers to migrate their applications to the cloud environment. However, in the crowded cloud market, application customers and providers face the problem of how to assess and cho ose appropriate service providers for migrating the ir applications to the cloud. Objective: The main goal of this systematic review to identify and classify the current cloud migration optimization approaches. The ancillary goal is to p resent a comparative evaluation of the existing optimization approaches to application migration in cloud computing, in order to clarify the gaps in the existing approaches and identify promising directions in future research. Method: We performed a systematic review of the software engineering literature between 2010 and 2014 to accomplish the objectives of the study. Results: The use of the search string in databases resulted in the identification of 1548 studies. After applying the inclusion and excl...

The cloud computing model offers a shared pool of resources and services with diverse models presented to the clients through the internet by an on-demand scalable and dynamic pay-per-use model. The developers have identified the need for an automated system (cloud service broker (CSB)) that can contribute to exploiting the cloud capability, enhancing its functionality, and improving its performance. This research presents a dynamic congestion management (DCM) system which can manage the massive amount of cloud requests while considering the required quality for the clients' requirements as regulated by the service-level policy. In addition, this research introduces a forwarding policy that can be utilized to choose high-priority calls coming from the cloud service requesters and passes them by the broker to the suitable cloud resources. The policy has made use of one of the mechanisms that are used by Cisco to assist the administration of the congestion that might take place at the broker side. Furthermore, the DCM system is used to help in provisioning and monitoring the works of the cloud providers through the job operation. The proposed DCM system was implemented and evaluated by using the CloudSim tool.

In current scenario cloud computing is most widely increasing platform for task execution. Lot of research is going on to cut down the cost and execution time. In this paper, we propose an efficient algorithm to have an effective and fast execution of task assigned by the user. We proposed an effective communication framework between broker and virtual machine for assigning the task and fetching the results in optimum time and cost using Broker Virtual Machine Communication Framework (BVCF). We implement it over cloudsim under VM scheduling policies by modification based on Virtual Machine Cost. Scheduling over Virtual Machine as well as over Cloudlets and Retransmission of Cloudlets are the basic building blocks of the proposed work on which the whole architecture is dependent. Execution of cloudlets is being analyzed over Round Robin and FCFS scheduling policy.

Cloud computing is a varied computing archetype uniting the benefits of service-oriented architecture and utility computing. In cloud computing, resource allocation and its proper utilization, to achieve a higher throughput and quality of service (QoS), has become a great research issue. This paper highlights a new cloudlet allocation strategy that utilizes all available resources efficiently and enhances the QoS by applying deadline-based workload distribution. It is believed that this paper would benefit both cloud users and researchers in various aspects. The entire experiment is done in Cloudsim Toolkit-3.0.3, by modifying the required classes. Keywords Cloud computing • Service-oriented architecture (SOA) • Quality of service (QoS) • Cloudsim Toolkit-3.0.3 • Cloud user (CU) B Sourav Banerjee

Cloud computing offers opportunities to access remote physical and virtual resources. Due to the continuing development of cloud computing, many challenges face this technology. One of these challenges is tasks scheduling. It refers to the process of allocating users’ tasks to virtual machines (VMs) with a goal of minimizing the turnaround time and improving the resource utilization. Tasks scheduling is considered NP hard problem with O(mn ) run time complexity to schedule n tasks on m resources. The process of tasks scheduling consumes a large solution space and with lacking of algorithms that can find the optimal solution in a polynomial run time. This paper presents a review study of various task scheduling algorithms in cloud environment including: RR, MaxMin, MinMin, FCFS, MCT, PSO, and GA, with a case study on modified round robin (MRR) algorithm. The MRR algorithm has been tested using CloudSim toolkit. The results show that when using the MRR algorithm to schedule a number o...

QoS (Quality of Service) aware task scheduling in cloud computing is a continuous practice due to the divergent scope of user needs. Henceforth the current research is moving in a direction to find optimal solutions for efficient task scheduling towards QoS aware resource utilization in cloud workflow management. Much of the existing solutions are specific to one or two QoS factors mainly task completion and bandwidth. According to the real-time practices, the QoS assessment by one or two factors is impractical. Moreover much of the existing approaches are delivering the computational complexity as O(n 2 ), which is due to the magnification of the increment in number of tasks due to overwhelmed users and their requirements. In this context here we devised an explorative statistical approach, which is based on metrics called resource optimal value ( ropt ) and coupling between tasks ( cbt ), which enables to assess the optimal order of tasks to utilize desired cloud resource. The oth...

Cloud computing is abstraction of web based services for businesses having dynamic requirements of resources. The cloud offers noteworthy benefits to business world by providing hardware set up, software and management of the system software. It puts in together elastic resources including hardware, software in virtual platform dynamically to meet computing need. The Quality of service parameters (QoS) comprises different parameters like, performance, availability and reliability, response time, throughput and bandwidth etc. There is need for proper monitoring, management of these parameters for effective cloud services and to maintain customer base. An efficient DCB policy reduce the overall execution time of the requested Cloudlets (Jobs/Tasks). An important policy of the Datacenter Broker (DCB) is binding of Cloudlets with an available VMs. For efficient load balancing there is need of proper allocation of cloudlets to the appropriate available VMs as per application requirement....

Cloud brokering service is an intermediate service which enables the producer-consumer business model enforcing the easy access to cloud services from Cloud Service Providers (CSPs). Cloud broker is to provide a platform where broker collects the information from the user, analyze the data, and sends those data to the CSPs. Cloud broker also provides data integration services and modeling the data across all the components or units of the cloud services. This paper deals with designing criteria and issues of cloud broker, system activity of broker, and sequence diagram of system design with implementation procedure.

Nowadays, there are several researches conducted about design from Database for the real-time application. A real-time Database system is usually defined as a Database system in which the transaction is correlated with the deadline, right when their transactions are done. Along with the developing of the Database system these days, there are many theories emerged which combines the real-time system with the distributed Database and it is called Distributed Real-time Database System (DRTDBS). One of the foremost utilization of DRTDBS is using Replication. With Replication, all of the data will be sent from the original place to the destination place in real-time. On the other hand, Replication has many shortcomings, either from the consistency of the network or when the network is not working properly. This paper will discuss about how a DRTDBS application is built with the Client-Server concept by utilizing Replication and Binary Log from MySQL. This approach will contribute a new a...

Vehicular Ad hoc Network (VANET)is a kind of mobile Ad Hoc networks (MANETs)that is applied for progress of intelligent transportation system (ITS).Vehicles get various types of data from roadside units (RSUs)including voice, video and emergency data. Since the number of vehicles as well as the number and size of files are potentially large and with regard to the types of files can be various, QOS-based scheduling is a challenge. We inquire the scheduling algorithm problems of file distribution from RSUs to vehicles in an urban environment and propose a new scheduling scheme which considers the types of data and improved the performance of network. Request of vehicles are inserted in to 4 queues: 1) Data-queue 2) voice-queue 3) video-queue 4) emergency-queue. Some scheduling policies are used to choose one queue and serve the vehicles. Furthermore, we gave high priority to some requests such as video and emergency data to achieve high quality. In this regard, Simulation results indi...

Demand for web content continues to increase at exponential rates and this has intensified the challenges of satisfying customer’s Quality of Service. Several techniques for Web content delivery vis-à-vis resource allocation have been proposed, one of which is the use of Content Distribution Networks. However, in recent times, cloud computing has become a driving force in Information Technology where Service Providers’ limited resources are shared among numerous users with different QoS requirements. In this work, focus is on developing a model for allocation of resources on cloud computing Infrastructure in order to improve delivery of Web content and optimize service cost. An analytical approach was adopted and expressed as an optimization problem subject to QoS metrics: delay, throughput, and bandwidth. The optimization problem was formulated as an Integer Linear Programming problem in which the decision variable takes the value of 0 or 1. A single Infrastructure-as-a-Service clo...

Vehicular Ad hoc Network (VANET)is a kind of mobile Ad Hoc networks (MANETs)that is applied for progress of intelligent transportation system (ITS).Vehicles get various types of data from roadside units (RSUs)including voice, video and emergency data. Since the number of vehicles as well as the number and size of files are potentially large and with regard to the types of files can be various, QOS-based scheduling is a challenge. We inquire the scheduling algorithm problems of file distribution from RSUs to vehicles in an urban environment and propose a new scheduling scheme which considers the types of data and improved the performance of network. Request of vehicles are inserted in to 4 queues: 1) Data-queue 2) voice-queue 3) video-queue 4) emergency-queue. Some scheduling policies are used to choose one queue and serve the vehicles. Furthermore, we gave high priority to some requests such as video and emergency data to achieve high quality. In this regard, Simulation results indi...

This paper describes a risk management on information technology to support the sustainability of academic information system at the university. The purpose of this study was to identify and quantify risks of application of information technology in academic information system at the university level, with cases in SWCU (SIA-SAT), prioritizing information technology risks are found, and determining how the risks can be controlled or reduced. The methodology used was a qualitative method, the data collected through library research and field study: interviews, observation and analysis method Facilitated Risk Analysis Process (FRAP). The result achieved was the discovery of risks, namely the risk that mainly service availability, security and integrity of data, as well as the service policy. Handling the risk then carried through the stages of FRAP, the form control list for each risk, determining suitable control through cross reference sheet, and recommendations for action that can ...

Service discovery is fundamental to Service Oriented Computing (SOC). Ad-hoc Mobile Cloud (AMC) takes advantage of SOC and Service Oriented Architecture principles in providing services to clients. This emergent paradigm promises to alleviate mobile devices from challenges associated with consuming remotely offered services. However, like other service offering platforms, AMC faces additional and unique service discovery challenges due to their inherent nature such as mobility, resource-constraints and dynamic context. Although conventional web services technologies and approaches exist, they do not fulfill the core requirements of mobile devices, and hence are not suitable for use in the AMC environment. To facilitate the realization of the prospects of AMC, it becomes highly imperative to study conventional and emerging web services approaches and their impact on performance in AMC domain. In this paper, we study existing web services enabling technologies and approaches that impa...

Volunteer Computing systems (VC) use the idle computing resources which are composed of unreliable volunteers whose exhibit volatile behavior and often they are not available because of the autonomy nature of owners. Scientific experiments that use internet-connected computers are internet based VC projects. However, the volatility of volunteer is significant challenge in VC and it is effective on applications that are using these types of hosts. Therefore, investigating resource characterization in order to derive efficient factors of host's availability is needed to improve VC systems. Factors analysis of hosts is fruitful in making better decision for job scheduler in order to improve system's performance. The purpose of this paper is determination the availability score model for volatile hosts according to statistical analysis of host's factors from actual occurrence trace data set. This study is proved the relationship across host's factors then it is proposed Scoring Availability Model.

The development of applications with Virtual Reality technology is currently on the rise. However, there is no formal methodology or architecture for the creation of this type of systems. However, to solve the problem, traditional information systems methodologies, traditional information systems methodologies are used that have been adapted to the development of this type of applications, which has caused a waste of the resources that these technologies offer. That is why we propose the design of architecture specifically for a 3D Virtual Environment, using an artificial intelligence technique, in this case, an Intelligent Reactive Agent. The proposed architecture was developed from a Videogame architecture.

User location information provides additional layer of security to a system. The location information of a user is an important attribute that can be used in authentication systems. Legitimate user has to be physically resides within a restricted area to gain access. With the growth of wireless communication technologies that use radio waves, determination of user location for indoor environment is very challenging. Radio signal can penetrate walls; thus it is not easy to verify location information within a restricted area as small as a room. In this paper, we propose a location-based authentication system that is cost-effective and user friendly. The proposed system uses common infrastructure such as LED lightbulb and smartphone. To verify the location of the user, visible light communication technology via the LED lightbulb is used.

We present the problem of tasks allocation in its general form as a non-cooperative game between players. For this game, we give the Nash equilibrium structure and on the basis of this structure, we draw a distributed tasks allocation algorithm that can find this equilibrium.

Virtual machine (VM) migration is a methodology used for attaining the system load balancing in a cloud environment by transferring the one VM from one physical host to another host. In this paper, we plan to migrate the extra tasks from overloaded VM to suitable VM instead of migrating the entire overloaded VM. In order to select the host VMs, a FCM clustering algorithm has been used to group the similar kind of host VMs. Once the VMs identified as overloaded, then the corresponding candidate VMs are found using the FCM clustering algorithm. Binary Particle Swarm Optimization (BPSO) methodology has been used for selecting the host VMs from the set of candidate VMs based on multi-objective fitness function, which includes task transferring time, task execution time and energy consumption. By allocating the extra task from the overloaded VMs to the proper VMs, we achieved the load balancing in the cloud environment. The implementation of proposed methodology FCM-BPSO has been done us...

Collaborative Virtual Environment (CVE) systems allow the sharing of virtual space, and each participant is represented by an entity in the CVE. Resources are consumed when interaction among several users occurs. The resources are consumed as a result of updating its own state, and the communication resources required to distribute the update of counterpart users in the CVE. The Peer-to-Peer (p2p) and Client Server (CS) architecture in CVE has the limitation of scaling to large number of users while maintaining consistency in the virtual world. This paper identifies the basic requirements of CVE systems, proposed a model based on cloud computing to improve the performance of the traditional CVE systems to evade the limitations of the p2p and CS. The design of the cloud computing-based CVE architecture proposes in our research consist of three layers namely, infrastructure, platform, and application. The potential benefits of the CVE architecture presented in this paper indicated a performance improvement over the traditional CVE. The proposed architecture with little modification can easily be implemented in real life applications to improve the performance of collaborative virtual applications.

With the up rise of fourth paradigm, that is discovery of science over a prolonged period of time, scientific workflows commence to amend their status amongst innumerous science subject areas including physics, astronomy, biology, chemistry, earthquake science and many more. In Scientific workflows, a heavy volume of data processing is required and workflows with up to a few million tasks are not unusual. With the advent of Cloud Computing as a new model of service provisioning in distributed systems, a new direction comes in light for executing scientific applications such as Workflows by deploying resources of Cloud. The scheduling of millions of tasks of workflows, while processing with Cloud resources, in a most profitable manner i.e. minimum computation time is still an attractive research area. The existing scheduling algorithms are brushing off the individual dependent and independent tasks. In this research paper, Max-Min algorithm is implemented for scheduling of workflow tasks that is focalized on the consideration of dependent and independent tasks and process independent tasks in parallel that directly gives profit in minimizing computation time.

Differencial Global Positioning System (DGPS) is a enhancement of the available publicly Global Positioning System (GPS) to increase its accuracy. GPS function to determine an object location in the earth’s surface by using orbiting satellites. Terminal Operating System (TOS) is the core application used by container terminal for both for planning, monitor and execute the containers movement from truck to yard, yard to truck, truck to vessel and vessel to truck using heavy lifting equipment (called Container Handling Equipment – CHE). In most cases, DGPS implementation within TOS for automatic container tracking will contributed significantly to reduce operating cost, therefore, this research analyze the benefit of this implementation. The author use balanced scorecard approach as performance metrics to define, measure and analyze the benefits of implementing the integration between DGPS and TOS by comparing the results before and after the implementation . The benefits of the imple...

Business process decomposition helps to focus on the base business process rather than the whole business processes with a higher complexity. Variability of business process decomposition taken into a different complexity level within common business process. By considering business process variability and complexity trade-off, we selected the best solution for semantic web service alternatives with different service quality. The selected web service should be fulfilled most of service quality capability defined in user’s preferences. For our case study we had chosen the Penerimaan Peserta Didik Baru, an online student submission system consists the registration procedure for multi-degree of school, multi-selection (regular, inclusion, pre-welfare), and multi-phase for every educational level. The base process is selected from four basic models, and we identified the variant models that representing the behavior of all possible requirements. In this paper, semantic service selection...

Information has always been in the heart of every organization. During its exchange this information can be altered or modified. It is also considered as a key element for the development of many businesses. In this context, we have the obligation to protect it and secure it. In fact, it can’t be protected without the use of frameworks and effective tools for risk management. Many industrial companies have chosen to put out in the market solutions that feed the need of IT managers. Our proposed framework EAS-SGR (Équipe Architecture des SystèmesSystèmes de Gestion de Risque) was created to use the advantages of the panel of solutions that exists in the marketplace and designs a new system by using multi-agents system which will bring the intelligence to our application and to address risks from different angles and in different departments of the organization.

Nowadays, Cloud Computing and Web services are the main backbone of e-government applications because of its interoperability and accessibility nature. Web services that are maintained in Cloud brought much attention in research and industry in terms of securing the communicated Web services. Thus, securing and trusting between the communicated Web services has been gradually becoming more challenging for Web services consumers, administrators, and Web service providers especially the egovernment services. Thus, In this paper, a Cloudlet based security trust model was proposed to guarantee a proper and secure communication between Web services through exploiting the cloud computing infrastructure . In addition, the proposed model is tackling the issues arises when Web service consumers are communicating with any of the e-governmental Web services through a trusted Cloud-based third party that is controlled by any governmental agency. Moreover, the Cloudlet is also used to measure th...

The broker is foreseen to take an important role in the future Cloud ecosystem. A Cloud broker will simplify the relationships between Cloud providers and customers, by aggregating, integrating and customizing services in accordance to the customers' needs. This paper demonstrates how security requirements can be a part of the Cloud brokering model. We present CloudSurfer, which is a prototype implementation of an independent Cloud broker that allows the customer to search for services that fulfill a set of security requirements. The application has been evaluated by representatives from the software industry and academia, and is freely available for further research.

System integration of an operation center has become more complex and heterogeneous due to rapid innovations in the IT industry. Problems arise when a new integration requirement emerges due to complexity of the system integration architecture. To simplify the system integration, interoperability has to be emphasized at the design stage. Architectural de sign is the stage wherein the process to identify the interfaces involved in the system integration needs to be considered. Approaches to simplifying system integration via service interface design have been the subject of many research studies. In this paper, case study on two (2) traffic operation centers in Malaysia i.e. Transport Management Centre of Kuala Lumpur City Hall and Traffic Monitoring Centre of Malaysian Highway Auth ority were conducted to identify gaps amongst the system integration approaches used in both operation centers. Three (3) prominent approaches of system integration used by both operation center s were ch...

The term "Cloud" has turned out to be universal in our life since it manages a large portion of our activities. Truth be told, cloud benefits are achieved in the vast majority of our social, scholastic, and business tasks. The technological era we are currently living in, is almost based on Internet services. A novel load balancer called Community-Based Cloud Load Balancing Approach (CBCLBA) for distributing tasks to their appropriate server is proposed. The main goal of this paper is to adopt a community based algorithm that takes into considerations tasks time constraints. Our proposed algorithm is implemented on a dataset that is brought from Google. The proposed algorithm shows that when considering two real time parameters, namely; Scheduling Class and Priority, the number of missed deadline tasks decreases comparing to the case when ignoring the two mentioned parameters. Finally, we believe that this is the first kind of work that utilizes concepts from sociology in ...

Cloud computing offers opportunities to access remote physical and virtual resources. Due to the continuing development of cloud computing, many challenges face this technology. One of these challenges is tasks scheduling. It refers to the process of allocating users’ tasks to virtual machines (VMs) with a goal of minimizing the turnaround time and improving the resource utilization. Tasks scheduling is considered NP hard problem with O(mn ) run time complexity to schedule n tasks on m resources. The process of tasks scheduling consumes a large solution space and with lacking of algorithms that can find the optimal solution in a polynomial run time. This paper presents a review study of various task scheduling algorithms in cloud environment including: RR, MaxMin, MinMin, FCFS, MCT, PSO, and GA, with a case study on modified round robin (MRR) algorithm. The MRR algorithm has been tested using CloudSim toolkit. The results show that when using the MRR algorithm to schedule a number o...

The Internet of Things (IoT) has not only become a part of human life, it has become a tool being made important, especially in the 21st century for generating revenue and strengthening communities’ economies. Smart farming on the other hand, is a management concept that is aimed at providing the agricultural industry with a system or infrastructure to leverage on advanced technology such as the cloud, IoT and even big data – for tracking, automating and monitoring operations. This study focus is on using the IoT on a smart farming platform for dissolved oxygen monitoring for aquaculture in the Songkhla Lake Basin, South of Thailand. We propose the fundamentals of real-time dissolved oxygen (DO) monitoring based on the internet of smart farming platform, in which the parameters studied are DO and water temperature (TEMP). The system is built to automatically detect data from the aquaculture pond or natural water sources, after which the data detected is sent to the host computer and...

Today, millions of users worldwide experience pervasive email and Web access through IPhones, Black Berries, Windows Mobile, and other mobile devices (Laptops, PDAs). After information at the fingertip, energy efficiency of these devices is paramount which makes the devices first choice of communication for the new generation. On the other hand, Mobile Devices, especially smartphones has limited resources such as, storage, network bandwidth, processor's performance and battery life. Moreover multiple sensors and wireless interfaces drain battery swiftly, thus reducing the operational time. Therefore, extending battery life of these devices has become of crucial research importance at hardware and software levels, both alike. This paper provide an overview of the software side by summarizing the background, techniques of battery augmentation, and ongoing research on computational offloading to remote servers (Cloud); sending heavy computation to remote servers and receiving the result back on mobile screen. At the end, summary of the previous research work on computational offloading discussed with a critical analysis. Moreover, suggestions and opinions related to energy efficiency of SIDs given, based on the comparative studies.

Cloud computing is emerging as the future Internet technology due to its advantages such as sharing of IT resources, unlimited scalability and flexibility and high level of automation. Along the lines of rapid growth, the cloud computing technology also brings in concerns of security, trust and privacy of the applications and data that is hosted in the cloud environment. In this paper, we design and implemented trust based model of data during the brokerage. For preparing solution, in first step a cryptographic approach using the tiger hash and DES algorithm is provided which helps to preserve data on cloud securely. In addition to that, second step illustrate a new trust management concept using weighted trust technique. Our proposed approach is simplified yet efficient algorithm that can implemented for cloud brokerage application that strictly enforce the user trust that identified server rating. In this approach, we measure number of performance parameters which exemplify system availability in critical phase of the applications.