Open Stack

Departamento e Instituto de Informatica F.C.E.F. y N. U.N.S.J. Complejo Islas Malvinas. Cereceto y Meglioli. 5400. Rivadavia. San Juan 1 marite@unsj‐cuim.edu.ar 2nelson@iinfo.unsj.edu.ar 3maruscheff@unsj‐cuim.edu.ar 4 migueljoseguevaratencio@gmail.com Resumen Las restricciones de ancho de banda y la topologia dinamica de las Mobile Ad hot NETwork (MANET) hacen necesario contar con soporte de calidad de Servicio (QoS) para poder lograr el tratamiento de trafico heterogeneo. Este tipo de trafico conformado por flujos elastico (basado en TCP) e inelastico (CBR-constant bit rate) requiere de un adecuado scheduler de los recursos.

يتناول هذا البحث دراسة مصحف مبكر محفوظ في المكتبة الوطنية الفرنسية بباريس (Arabe 325 j) مع ورقات تابعةٍ له محفوظة بمكتبة غوتا للأبحاث بجامعة إرفورت برقم (Ms. orient. Ar 451)، ويُقدّر زمنه بحوالي القرن الثالث. يتميز المصحف باشتماله على ثلاث قراءات من القراءات السبع المشهورة. يسعى البحث إلى تحديد هذه القراءات وكيفية تدوينها في المصحف، مع تسليط الضوء على أهمية المصحف في ضوء ذلك. استند البحث إلى استقراء واستخراج القراءات من المصحف، مع مقارنتها بالقراءات السبع المشهورة المذكورة في كتاب النشر لابن الجزري، ثم تحليل النتائج لإبراز أهمية المصحف في تاريخ القراءات والمصاحف المبكرة. أظهر البحث أن المصحف ضُبط وفق طريقة النقط المدوّر، واشتمل على قراءة حمزة والكسائي الكوفيين وقراءة نافع المدني من رواية ورش المصري، واستخدمت فيه ثلاثة ألوان لتمييز القراءات في المصحف، وهي الأحمر والأخضر والأصفر. يعد هذا المصحف أقدم مصحف معروف حتى الآن مشتمل على هذا العدد من القراءات المشهورة. سلط البحث الضوء على أهمية هذا المصحف من حيث كونه شاهدًا ماديًا على دقة تدوين القراءات في المصادر، ومن حيث كونه يعزز ظاهرة الارتباط الوثيق بين قراءتي حمزة الكوفي ونافع المدني من رواية ورش المصري في العديد من المصاحف المبكرة، ويوسع آفاق البحث في المصاحف المبكرة وطرق ضبطها وفي تاريخ القراءات.

(Arabe 325 j): An early Kufic Qur'an with three readings of the seven

This research examines an early Mushaf (Arabe 325 j) preserved in the Bibliothèque nationale de France, along with its companion folios housed in the Gotha Research Library at the University of Erfurt (Ms. orient. Ar 451), estimated to date back to around the third century. This Mushaf is distinguished by its inclusion of three of the seven famous readings. The study aims to identify these readings, analyze how they were recorded in the Mushaf, and highlight its significance in this context.

The research methodology involved extrapolating and extracting the readings from the Mushaf, comparing them with the seven canonical readings documented in Ibn al-Jazari's al-Nashr, and analyzing the findings to underscore the importance of this Mushaf in the history of Qira'at and early Qur'anic manuscripts.

The study revealed that the Mushaf was vocalized using the dotted notation system and included the reading of Hamza and Al-Kisai of Kufa, as well as that of Nafi‘ of Medina as transmitted by Warsh of Egypt. Additionally, three colors—red, green, and yellow—were used to distinguish the different readings within the manuscript.

This Mushaf stands as the earliest known Qur'anic manuscript to incorporate this number of canonical readings. The research highlights its significance as a tangible witness to the precision of recording Qira'at in classical sources and as evidence of the close relationship between the readings of Hamza of Kufa and Nafi‘ of Medina as transmitted by Warsh of Egypt in many early manuscripts. Moreover, this study broadens the scope of research on early Qur'anic manuscripts, vocalization methods, and the history of Qira'at.

Cloud computing takes the technology, services and applications that are close to those on the internet and turns them into a selfservice utility. Hence, cloud management and security has become an important and growing area of technology. However, Clouds introduce security challenges which need to be addressed to facilitate widespread adoption. This paper underpins the efforts to address one of the important and significant issue of cloud security i.e. intrusion detection and severity analysis in cloud. An integrated intrusion detection and severity analysis model has been presented which is expected to facilitate minimal intrusion response time while preserving the overall security of cloud infrastructure. Moreover, a novel method to address this challenge in accordance with specific requirements for clouds for intrusion severity analysis has been presented.

Open source cloud computing solutions are still not mature enough to handle data-intensive applications, e.g., scientific simulations. Thus, it is crucial to propose appropriate algorithms and approaches to the data management problem in order to adjust cloud-based infrastructures to scientific community requirements. This paper presents an approach inspired by observation of the cloud user behaviour: the intensity of data access operations, their nature, etc. We also describe how the proposed approach influences the architecture of a typical cloud solution and how it can be implemented based on the Eucalyptus system which is a successful open source cloud solution.

The document describes the updated Reference Architecture for StratusLab v2.0, building on D4.1, which described the architecture for StratusLab v1.0. This document contains two main parts, the overall architecture identifying the required services and components of which it is composed, followed by detailed descriptions for each of these elements. For v2.0, the architecture is rationalized and consolidated. For example, the policy validation, caching and cloud storage are integrated as default features. The Appliance Repository is replaced by the cloud storage service. Several services are also added, such as cloud storage, virtual network provisioning and inter-cloud connectivity. From v1.0 to v2.0, incremental versions of the StratusLab distribution will be built and released to provide an increasing amount of the functionality identified in this document, alongside further improvements to the robustness of the distribution.

The performance of the Raspberry Pi 4B computer was evaluated for three cases. First, a Raspberry Pi heterogeneous MPICH cluster with weightbased load balancing and fuzzy estimation of node computational performance was designed. Fuzzification, formation of fuzzy rules, fuzzy inference, and defuzzification were employed to determine the performance weights. In the cluster with two Raspberry Pi 4B boards with 2 GB RAM and Raspberry Pi 64-bit OS and one Raspberry Pi 3B board with 1 GB RAM and Raspberry Pi 32-bit OS, the recommended performance weights are (5, 5, 1), respectively. The developed Python program for the prime numbers finding algorithm employs the proposed weight-based load balancing, which is approximately five times faster than the basic algorithm with equal loading for the maximum integer of 300000. Second, the MPICH cluster with two nodes in two virtual machines located on two different Raspberry Pi 4B boards with Ubuntu Server for ARM on the hypervisor VMware ESXi ARM Fling shows the mean signed deviation-34.01 s regarding the Raspberry Pi 64-bit OS for the maximum integer of 300000. Third, the performance of the Raspberry Pi 4B 8 GB computer with Windows 11 ARM OS was compared with the laptop Lenovo G510 with Intel Core i7-4700MQ and Windows 10 64-bit OS using the combinatorial optimization algorithm implemented in the 32-bit Windows app. The Raspberry Pi 4B 8 GB consumed approximately six times more power. Thus, the Raspberry Pi 4B single-board computer is recommended for executing low-performance applications and/or shortterm processing of high-performance tasks.

Presently, the uses of virtualization technologies are increased very frequently. This increases the IT agility, flexibility, and scalability. There is a layer of virtualization between the guest OS and physical hardware. This paper analyze the performance of virtualization technology with comparitive analysis. Our experiment showed that KVM gives the best performance as compared to XEN. This paper suggests best-suited hypervisors for aimed application.

Presently, the uses of virtualization technologies are increased very frequently. This increases the IT agility, flexibility, and scalability. There is a layer of virtualization between the guest OS and physical hardware. This paper analyze the performance of virtualization technology with comparitive analysis. Our experiment showed that KVM gives the best performance as compared to XEN. This paper suggests best-suited hypervisors for aimed application.

Information technology servers are complex, delicate, and expensive systems; power grid interruption is one of the possible causes that can lead to hardware damage or logical disk structure damage, with severe consequences. Moreover, a power grid drop causes a sudden interruption of the services managed by a server. Uninterruptible power supplies (UPS) provide backup power when the regular power grid source drops. UPSs can only maintain a server for a short time. Therefore, it is necessary to introduce a blackout manager who can correctly shut down the server activities. Moreover, the manager must be able to restore the servers' status when the electrical grid power returns to its normal state. This paper proposes a possible UPS power manager able to manage servers during a prolonged electrical blackout. The UPS power manager identifies the blackout and keeps the servers safe by saving their state and shutting them down properly. Following the power grid restoration, the UPS power manager restarts the servers and restores their state. The proposed approach has been evaluated on a virtualization cluster used for critical activities at the Politecnico di Torino.

The smallest instance offered by Amazon EC2 comes with 615MB memory and a 7.9GB disk image. While small by today's standards, embedded web servers 1 with memory footprints well under 100kB, indicate that there is much to be saved. In this work we investigate how large VMpopulations the openStack hypervisor can be made to sustain, by tuning it for scalability and minimizing virtual machine images. Request-driven Qemu images of 512 byte are written in assembly, and more than 110 000 such instances are successfully booted on a 48 core host, before memory is exhausted. Other factors are shown to dramatically improve scalability, to the point where 10 000 virtual machines consume no more than 2.06% of the hypervisor CPU.

These days everything is shifting to cloud computing. Two of the major types of clouds are infrastructure as a service (IAAS) & Platform as a service (PAAS) cloud. Network engineers and administrators make use of IAAS instead of physical hardware for implementing servers. Software Developers use PAAS for programming purposes. Virtualization is the main base for implementing cloud computing. The main types of virtualizations are Type 1 (also called hypervisor), Type-2 (called virtualization) and light weight virtualization (called operating System level virtualization). The problem with virtualization and hypervisor is that large time required for booting of the virtual machine (VM), very high VM installation time, large storage space consumed. The CPU and RAM usage is high. On the other hand, light weight virtualization is very fast, consumes almost negligible resources, container creation and start up time is extremely fast. Here we are comparing the performance of Virtual Box with...

Điện toán đám mây đã bắt đầu phổ biến nhờ tính linh hoạt, có khả năng mở rộng, dễ dàng kích hoạt và cung cấp các dịch vụ để xây dựng tài nguyên mà khách hàng có thể truy cập theo yêu cầu của họ. Ngoài ra dịch vụ điện toán đám mây có khả năng chia sẻ tài nguyên hiệu quả giữa các người dùng với nhau. OpenStack, một nền tảng điện toán đám mây mã nguồn mở tương đối mới, tập trung vào việc cung cấp mạng như một dịch vụ (NaaS) sử dụng công nghệ ảo hóa và OpenStack hứa hẹn là một nền tảng điện toán đám mây sẽ được mở rộng ồ ạt trong các ứng dụng của doanh nghiệp. Từ đó, mục đích của bài báo là nghiên cứu hiệu năng mạng của OpenStack triển khai trên phiên bản Neutron. Các thông số về hiệu năng như thông lượng, vấn đề mất gói tin, thời gian trễ gói tin sẽ được đánh giá theo giao thức UDP dựa vào công cụ IPERF.

Cloud Computing is emerging as a model and business computing. After an initial apogee of the Public Cloud the companies have begun to assemble hybrid Cloud offering the benefits of public cloud, combined with the privacy of data they consider strategic managed on a Private Cloud. However the numerous advantages presented, have not made detailed studies of scalability and efficiency. Neither they have defined parameters for this type of solutions, which enable developers to propose the most convenient architecture, or configure the schedulers to improve the values of these parameters

The emergence of new digital technologies comes with challenging technical and business requirements. The traditional approach to provide computational infrastructure to application workloads, which relies on in-house management of hardware, does not present technical and cost-effective attributes to deliver high-performance, reliability and scalability. As one of the biggest technologic paradigms shift in the history of humanity, cloud computing allows diverse deployment and service model alternatives, suitable to diverse requirements, such as security, latency, computational performance, availability and cost. Therefore, numerous companies distribute hundreds of clouds worldwide, creating an equitable market through competition, where players create unique features to differentiate from competitors. Consequently, in the consumer side, picking a vendor typically translates into vendor lock-in, a situation where the applications heavily depend on the vendor's approach of exposing features, making it difficult to switch between vendors whenever convenient or to support complex scenarios across multiple distributed heterogeneous clouds, such as federation. An immediate work-around for users is to pick cloud solutions that implement standards or post-facto open source platforms, such as OpenStack, which are assumed to provide native interoperability between installations. In the industry, however, OpenStack proves that the lack of interoperability is a real concern even between its deployments, due the high flexibility and complexity of supported use cases. Therefore, this investigation documents intra-platform interoperability, as in OpenStack, starting by presenting in detail the Python client library created by the community to abstract deployment differences, counting with numerous and significant contributions from the author of this dissertation. Afterwards, an extensive validation of that library was performed across one testing and five production clouds from different vendors worldwide, because despite the fact the library is extensively used by the community, it had never been validated in detail. The validation unveiled bugs, functionality and documentation gaps. Since intra-platform interoperability had never been documented in this context, a systematic literature review followed, allowing a deep comparison of the state of the art of vendor lock-in in opposition to that library, presenting its advantages, disadvantages and recommendations for users. Lastly, the suggestions for future work include support for multiple programming languages and the adoption of the client library as a standard for inter-platform interoperability.

Cloud Computing is emerging as a model and business computing. After an initial apogee of the Public Cloud the companies have begun to assemble hybrid Cloud offering the benefits of public cloud, combined with the privacy of data they consider strategic managed on a Private Cloud. However the numerous advantages presented, have not made detailed studies of scalability and efficiency. Neither they have defined parameters for this type of solutions, which enable developers to propose the most convenient architecture, or configure the schedulers to improve the values of these parameters

General-Purpose computing on Graphics Processing Units (GPGPU) combined to cloud computing is already a commercial success. However, there is little literature that investigates its security implications. Our objective is to highlight possible information leakage due to GPUs in virtualized and cloud computing environments. We provide insight into the different GPU virtualization techniques, along with their security implications. We systematically experiment and analyze the behavior of GPU global memory in the case of direct device assignment. We find that the GPU global memory is zeroed only in some configurations. In those configurations, it happens as a side effect of Error Correction Codes (ECC) and not for security reasons. As a consequence, an adversary can recover data of a previously executed GPGPU application in a variety of situations. These situations include setups where the adversary launches a virtual machine after the victim's virtual machine using the same GPU, thus bypassing the isolation mechanisms of virtualization. Memory cleaning is not implemented by the GPU card itself and we cannot generally exclude the existence of data leakage in cloud computing environments. We finally discuss possible countermeasures for current GPU clouds users and providers.

Cloud Computing is emerging as a model and business computing. After an initial apogee of the Public Cloud the companies have begun to assemble hybrid Cloud offering the benefits of public cloud, combined with the privacy of data they consider strategic managed on a Private Cloud. However the numerous advantages presented, have not made detailed studies of scalability and efficiency. Neither they have defined parameters for this type of solutions, which enable developers to propose the most convenient architecture, or configure the schedulers to improve the values of these parameters

While cloud computing is still a developing paradigm, many of the existing challenges point to new research trends, as resource and power saving. Current datacentres are being used more efficiently, new hardware tries to comply with energy saving and software helps to fulfil these goals. On the other hand, the resource optimisation can also be undertaken by maximising the existing resources, even if not intended for cloud purposes or have state-of-the-art hardware. This paper investigated how to integrate common desktop PCs, with a wide cardinality inside a university campus, on a cloud infrastructure to lower cost efforts, and how to deliver appropriate services to researchers. We propose a model to categorise applications, show how to build the infrastructure and present performance and consumption results.

Analyzing compute functions by utilizing the IAAS model for private cloud computing services in packstack development is one of the large-scale data storage solutions. Problems that often occur when implementing various applications are the increased need for server resources, the monitoring process, performance efficiency, time constraints in building servers and upgrading hardware. These problems have an impact on long server downtime. The development of private cloud computing technology could become a solution to the problem. This research employed openstack and packstack by applying one server controller node and two servers compute nodes. Server administration with IAAS and self-service approaches made scalability testing simpler and time efficient. The resizing of the virtual server (instance) that has been carried out in a running condition shows that the measurement of the overhead value in private cloud computing is more optimal with a downtime of 16 seconds.

Analyzing compute functions by utilizing the IAAS model for private cloud computing services in packstack development is one of the large-scale data storage solutions. Problems that often occur when implementing various applications are the increased need for server resources, the monitoring process, performance efficiency, time constraints in building servers and upgrading hardware. These problems have an impact on long server downtime. The development of private cloud computing technology could become a solution to the problem. This research employed openstack and packstack by applying one server controller node and two servers compute nodes. Server administration with IAAS and self-service approaches made scalability testing simpler and time efficient. The resizing of the virtual server (instance) that has been carried out in a running condition shows that the measurement of the overhead value in private cloud computing is more optimal with a downtime of 16 seconds.

Debido a la aparición de nuevas tecnologías, dispositivos inteligentes, medios de comunicación y aplicaciones móviles, la cantidad de datos que se produce en la actualidad aumenta exponencialmente. Este aumento en la cantidad de datos demanda nuevas estrategias que permitan su almacenamiento, y análisis de manera eficiente; esto conlleva un cambio de paradigma en las arquitecturas de cómputo, los algoritmos y también los mecanismos de procesamiento. Los sistemas de cómputo tradicionales han evolucionado a sistemas de alto rendimiento (HPC) para llevar a cabo cómputo intensivo y mejorar la velocidad de procesamiento. La presente propuesta de investigación analizará y evaluará las ventajas de la computación de alto desempeño, aplicándolas a problemas que requieran un alto costo computacional en sistemas altamentes distribuidos, como son las aplicaciones de Internet de las Cosas. Palabras claves: High Computing Perfomance, IoT, Distribuited Systems

In today's era Desktop Virtualization is depreciated and is no longer used in the corporate world and institutions. One of the major problems we face these days is of storage and security issue which can be resolved with the integration of cloud computing. In this paper, we have integrated Cloud Computing with Desktop Virtualization. In our research and project, we have deployed a cloud using openstack along with Desktop Virtualization. This paper aims for the security and cost reduction for institutional purpose.

While cloud computing is still a developing paradigm, many of the existing challenges point to new research trends, as resource and power saving. Current datacentres are being used more efficiently, new hardware tries to comply with energy saving and software helps to fulfil these goals. On the other hand, the resource optimisation can also be undertaken by maximising the existing resources, even if not intended for cloud purposes or have state-of-the-art hardware. This paper investigated how to integrate common desktop PCs, with a wide cardinality inside a university campus, on a cloud infrastructure to lower cost efforts, and how to deliver appropriate services to researchers. We propose a model to categorise applications, show how to build the infrastructure and present performance and consumption results.

Virtualization is an imminent sector of the Information and Technology in the peresent world. It is advancing and being popuraly implemented world wide. Computer network is not isolated from the global impact of the virtualization. The virtualization is being deployed on the computer networks in a great extent. In general, virtualization is an inevitable tool for computer networks. This report presents a surfacial idea about the impact of the virtualization on the computer network. The report enlightens about the measurement of the some popular network performance metrics. The report describes the experiments which has been separately conducted on a bare metal environment and virtualized platforms. The analysis and comparison between these two experimental issue is covered on this document. The web server is a most prominent entity of the computer so that to address a little bit more scenarios, the performance measurement of the web server is explained. Thus, the report is reflectio...

Virtual machine images represent one of the most valuable components in providing a cloud infrastructure, so managing them becomes a key concern in such systems. Each one of the Infrastructure-as-a-Service (IaaS) offers provides its own version of a local image repository. This fact raises problems when managing multiple environments with different IaaS, or when migrating from one to another, because such images management services are mainly designed to interact with its corresponding IaaS and its own storage system. This article presents VISoR, a work-in-progress project, whose main goal is to achieve an agnostic service for managing virtual machine images among different cloud offers.

With improving efficiency and cost effectiveness of public cloud systems, there has been a growing trend to complement in-house cloud environment with them. We propose an open solution to the problem of distributing jobs in a hybrid environment, as a substitute to hadoop systems which are cloud specific. The proposed system, MultiStack, is a big data orchestration platform for deploying big data jobs across multiple cloud providers. The specific architecture elaborated in this paper uses Amazon Web Services as the public cloud provider and Openstack as the private cloud framework. Our solution supports complete Hadoop ecosystem tools-hive, pig, Hbase, oozie etc. and on-demand scaling of Hadoop clusters. The proposed framework aims at reducing the Job completion time on workloads along with decrease in cost using Spot Instance provisioning compared to on-demand provisioning. This is achieved by providing two modes of operation: Proactive scheduling and Reactive scheduling, which takes into account user providing job characteristics(eg memory,cpu,etc), quota limitation and business objectives. From our experiments, we conclude that Multistack is able to reduce average job completion time by 30-37% with minimal increase in cost.

The Cloud computing becomes an innovative computing paradigm, which aims to provide reliable, customized and QoS guaranteed computing infrastructures for users. This paper presents our early experience of Cloud computing based on the Cumulus project for compute centers. In this paper, we introduce the Cumulus project with its various aspects, such as design pattern, infrastructure, and middleware.

As federal funding in many public non-profit organizations (NPO's) seems to be dwindling, it is of the utmost importance that efforts are focused on reducing operating costs of needy organizations, such as public schools. Our approach for reducing organizational costs is through the combined benefits of a high performance cloud architecture and low-power, thin-client devices. However, general-purpose private cloud architectures are not easily deployable by average users, or even those with some computing knowledge. For this reason, we propose a new vertical cloud architecture, which is focused on ease of deployment and management, as well as providing organizations with cost-efficient virtualization and storage, and other organization-specific utilities. We postulate that if organizations are provided with on-demand access to electronic resources in a way that is cost-efficient, then the operating costs may be reduced, such that the user experience and organizational efficiency may be increased. In this paper we discuss our private vertical cloud architecture called THUNDER. Additionally, we introduce a number of methodologies that could enable needy non-profit organizations to decrease costs and also provide many additional benefits for the users. Specifically, this paper introduces our current implementation of THUNDER, details about the architecture, and the software system that we have designed to specifically target the needs of underfunded organizations.

Service oriented architecture is a collection of services that communicate with each other to provide flexibility in system development and deployment. Cloud computing emphasizes on various service oriented architectures with the help of tools, which reduces the infrastructure cost of users. There are varying range of cloud tools and technology such as Eucalyptus, OpenNebula, Nimbus and OpenStack etc. The comparative study of different cloud tools and technology in this paper is performed on the basis of certain cloud parameters for the deployment of clouds. The concepts, architecture and implementation of cloud tools are also discussed here. The comparative study will be helpful to select an appropriate deployment strategy for users.

The data is growing enormously with every passing day. With the paradigm shift in the technology used to store, manage and retrieve the data from file storage to relational databases to today's cloud databases, the need to process the query efficiently while preserving the privacy had always been the priority. The dynamism of the query and the optimization of the resources used for query execution are the aspects that don't change in any situation. The timing constraint on the query execution could be instantaneous, urgent, leisurely or indefinite. But in almost all the scenarios the effective storage, manipulation and data retrieval is the key. While retrieving the data stored in cloud, privacy preservation is of utmost importance. We propose an experimental setup to test the effectiveness of some storage policies in cloud databases that may help in effective retrieval of the data while preserving the privacy. The paper discusses the principles of data privacy in the light ...

An Infrastructure as a Service (IaaS) cloud provider is committed to each tenant by a service level agreement (SLA) which indicates the terms of commitment, e.g. the level of availability of the IaaS cloud service. The different resources providing this IaaS cloud service may need to be upgraded several times throughout their life-cycle; and these upgrades may affect the service delivered by the IaaS layer. This may violate the SLAs towards the tenants and result in penalty as they impact the tenants' services relying on the IaaS. Therefore, it is important to handle upgrades properly with respect to the SLAs. The upgrade of IaaS cloud systems inherits all the challenges of clustered systems and faces other, cloud specific challenges, such as size and dynamicity due to elasticity. In this paper, we propose a novel approach to automatically upgrade an IaaS cloud system under SLA constraints such as availability and elasticity. In this approach, the upgrade methods and actions appropriate for each upgrade request are identified, scheduled, and applied automatically in an iterative manner based on: the vendors' descriptions of the infrastructure components, the tenant SLAs, and the status of the system. The proposed approach allows new upgrade requests during ongoing upgrades, which makes it suitable for continuous delivery. In addition, it also handles failures of upgrade actions through localized retry and undo operations automatically.

Cloud computing emerges as a new computing paradigm which aims to provide reliable, customized and QoS guaranteed computing dynamic environments for end-users. This paper reviews recent advances of Cloud computing, identifies the concepts and characters of scientific Clouds, and finally presents an example of scientific Cloud for data centers. This section discusses several projects which are currently devoted to Cloud computing. 2.1. Globus virtual workspace service and Nimbus A virtual workspace [10, 9] is the abstraction of an execution environment that can be made dynamically avail

Điện toán đám mây đã bắt đầu phổ biến nhờ tính linh hoạt, có khả năng mở rộng, dễ dàng kích hoạt và cung cấp các dịch vụ để xây dựng tài nguyên mà khách hàng có thể truy cập theo yêu cầu của họ. Ngoài ra dịch vụ điện toán đám mây có khả năng chia sẻ tài nguyên hiệu quả giữa các người dùng với nhau. OpenStack, một nền tảng điện toán đám mây mã nguồn mở tương đối mới, tập trung vào việc cung cấp mạng như một dịch vụ (NaaS) sử dụng công nghệ ảo hóa và OpenStack hứa hẹn là một nền tảng điện toán đám mây sẽ được mở rộng ồ ạt trong các ứng dụng của doanh nghiệp. Từ đó, mục đích của bài báo là nghiên cứu hiệu năng mạng của OpenStack triển khai trên phiên bản Neutron. Các thông số về hiệu năng như thông lượng, vấn đề mất gói tin, thời gian trễ gói tin sẽ được đánh giá theo giao thức UDP dựa vào công cụ IPERF.

Access to computing laboratory facilities is an integral part in teaching/learning environments in higher education today. However, usage model of traditional computer laboratories has many limitations. The use of virtualised computing laboratories, enabled by cloud and virtualization technologies, aims to overcome many of these limitations. However, the use of virtualised labs in higher education institutions is still in its infancy and many questions remain unanswered. In this paper, we outline a pilot implementation of a virtual lab environment using Cloud technologies in an undergraduate IT course. We evaluate the student experience from a number of perspectives through quantitative and qualitative survey responses. Our results are show positive response and attitudes to the use of such technologies by students and also gain some useful insights.

Cloud computing has emerged as a popular paradigm and an attractive model for providing a reliable distributed computing model.it is increasing attracting huge attention both in academic research and industrial initiatives. Cloud deployments are paramount for institution and organizations of all scales. The availability of a flexible, free open source cloud platform designed with no propriety software and the ability of its integration with legacy systems and thirdparty applications is fundamental. Open stack is a free and opensource software released under the terms of Apache license with a fragmented and distributed architecture making it highly flexible. This project was initiated and aimed at designing a secured cloud infrastructure called BradStack, which is built on OpenStack in the computing Laboratory at the University of Bradford. In this report, we present and discuss the steps required in deploying a secured BradStack Multi-node cloud infrastructure and conducting Penetration testing on OpenStack Services to validate the effectiveness of the security controls on the BradStack platform. This report serves as a practical guideline, focusing on security and practical infrastructure related issues. It also serves as a reference for institutions looking at the possibilities of implementing a secured cloud solution.

Service oriented architecture is a collection of services that communicate with each other to provide flexibility in system development and deployment. Cloud computing emphasizes on various service oriented architectures with the help of tools, which reduces the infrastructure cost of users. There are varying range of cloud tools and technology such as Eucalyptus, OpenNebula, Nimbus and OpenStack etc. The comparative study of different cloud tools and technology in this paper is performed on the basis of certain cloud parameters for the deployment of clouds. The concepts, architecture and implementation of cloud tools are also discussed here. The comparative study will be helpful to select an appropriate deployment strategy for users.

The adoption of private clouds is an option for optimizing the use and organization of computing resources. Although the cloud benefits are been known for some time, there are still questions on how to plan the cloud infrastructure in order to avoid basic network performance issues. OpenStack is one of the most widely used open source solutions for building private Infrastructure as a Service (IaaS) clouds. OpenStack distributes network traffic across multiple interfaces and virtualized networks, which connect hosts to its cloud services, divided into the domains: control, public, or guest. The present work aims to characterize network traffic in the OpenStack control domain produced by changing the state of virtual machines (VMs). There are few works related to the network infrastructure scenario on private clouds, research in this area is generally focused on public domain or guest domain operations. In this sense, we performed a characterization in the OpenStack administrative ne...

Cloud Computing is not only a pool of resources and services offered through the internet, but also a technology solution that allows optimization of resources use, costs minimization and energy consumption reduction. Enterprises moving towards cloud technologies have to choose between public cloud services, such as: Amazon Web Services, Microsoft Cloud and Google Cloud services, or private self built clouds. While the firsts are offered with affordable fees, the others provide more privacy and control. In this context, many open source softwares approach the buiding of private, public or hybrid clouds depending on the users need and on the available capabilities. To choose among the different open source solutions, an analysis is necessary in order to select the most suitable according with the enterprise's goals and requirements. In this paper, we present a depth study and comparison of five open source frameworks that are gaining more attention recently and growing fast: CloudStack, OpenStack, Eucalyptus, OpenNebula and Nimbus. We present their architectures and discuss different properties, features, useful information and our own insights on these frameworks.

Recently, the prediction of the most efficient configuration of a vast set of devices used for mounting an optimised cloud computing services and virtual networks environments have attracted growing attention. This paper proposes a paradigm shift in modelling transmission control protocol (TCP) behaviour over time in virtual networks by using data envelopment analysis (DEA) models. Firstly, it proves that self-similarity with long-range dependency is presented differently in every network device. This study implements a novel fractal dimension concept on virtual networks for prediction, where this key index informs if the transport layer forwards services with smooth or jagged behaviour over time. Another substantial contribution is proving that virtual network devices have a distinct fractal memory, TCP bandwidth performance, and fractal dimension over time, presenting themselves as important factor for forecasting of spatiotemporal data. Thus, a continuous stepwise fractal performance evaluation framework methodology is developed as an expert system for virtual network assessment and performs a fractal analysis as a knowledge representation. In addition, due to the limitations of classical DEA models, the windows multiplicative data envelopment analysis (WMDEA) model is used to dynamically assess the fractal time series from virtual network hypervisors. For knowledge acquisition, 50 different virtual network hypervisors were appraised as decisionmaking units (DMU). Finally, this expert system also acts as a math hypervisor capable of determining the correct fractal pattern to follow when delivering TCP services in an optimised virtual network.

The document describes the updated Reference Architecture for StratusLab v2.0, building on D4.1, which described the architecture for StratusLab v1.0. This document contains two main parts, the overall architecture identifying the required services and components of which it is composed, followed by detailed descriptions for each of these elements. For v2.0, the architecture is rationalized and consolidated. For example, the policy validation, caching and cloud storage are integrated as default features. The Appliance Repository is replaced by the cloud storage service. Several services are also added, such as cloud storage, virtual network provisioning and inter-cloud connectivity. From v1.0 to v2.0, incremental versions of the StratusLab distribution will be built and released to provide an increasing amount of the functionality identified in this document, alongside further improvements to the robustness of the distribution.

The objective of this venture is to give a cost effective open source Remote Desktop based registering environment to clients by utilizing Virtualization Technology and existing open source programming and apparatuses. In this venture, we have utilized LTSP (Linux Terminal Server Project) to get to Remote Desktop and Xen hypervisor to give virtual desktop environment at server. A client gets a customized desktop as a VM (Virtual Machine) running over remote server. It is not the same as the old Remote Desktop arrangements in a route that rather than a login session on single OS remote server, client will get a completely fledged desktop with fancied OS. The most critical advantage for the framework will be the asset preservation as offices like live VM relocation which is accessible with virtualization will help in Load Consolidation and Load Balancing. On account of virtualization, client's desktop is likewise secluded from different clients in similar physical machine. This venture makes utilization of open source instruments like LTSP and XEN to make the arrangement moderate to everyone.