Cloud Computing Virtualization of Resources Allocation for Distributed Systems

云计算 虚拟化 计算机科学 供应 虚拟机 分布式计算 调度(生产过程) 效用计算 资源配置 云测试 云安全计算 计算机网络 操作系统 运营管理 经济
作者
Hanan M. Shukur,Subhi R. M. Zeebaree,Rizgar R. Zebari,Diyar Qader Zeebaree,Omar M. Ahmed,Azar Abid Salih
出处
期刊:Journal of applied science and technology trends [Interdisciplinary Publishing Academia]
卷期号:1 (2): 98-105 被引量:121
标识
DOI:10.38094/jastt1331
摘要

Cloud computing is a new technology which managed by a third party “cloud provider” to provide the clients with services anywhere, at any time, and under various circumstances. In order to provide clients with cloud resources and satisfy their needs, cloud computing employs virtualization and resource provisioning techniques. The process of providing clients with shared virtualized resources (hardware, software, and platform) is a big challenge for the cloud provider because of over-provision and under-provision problems. Therefore, this paper highlighted some proposed approaches and scheduling algorithms applied for resource allocation within cloud computing through virtualization in the datacenter. The paper also aims to explore the role of virtualization in providing resources effectively based on clients’ requirements. The results of these approaches showed that each proposed approach and scheduling algorithm has an obvious role in utilizing the shared resources of the cloud data center. The paper also explored that virtualization technique has a significant impact on enhancing the network performance, save the cost by reducing the number of Physical Machines (PM) in the datacenter, balance the load, conserve the server’s energy, and allocate resources actively thus satisfying the clients’ requirements. Based on our review, the availability of Virtual Machine (VM) resource and execution time of requests are the key factors to be considered in any optimal resource allocation algorithm. As a results of our analyzing for the proposed approaches is that the requests execution time and VM availability are main issues and should in consideration in any allocating resource approach.

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