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Vol. 1 No. 2 (2020)

Articles

Cloud Computing Virtualization of Resources Allocation for Distributed Systems

https://doi.org/10.38094/jastt1331

Published 2020-06-27

  • Hanan M. Shukur
    • ,
  • Subhi R. M. Zeebaree
    • ,
  • Rizgar R. Zebari
    • ,
  • Diyar Qader Zeebaree
    • ,
  • Omar M. Ahmed
    • ,
  • Azar Abid Salih

Hanan M. Shukur
IT Department, Al Kitab University, Kirkuk – Iraq

Subhi R. M. Zeebaree
Presidency of Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq

Rizgar R. Zebari
IT Department. Technical College of Informatics Akre, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq

Diyar Qader Zeebaree
Presidency of Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq

Omar M. Ahmed
IT Department, Zakho Technical Institute, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq

Azar Abid Salih
Information Technology Management Department, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq

Abstract

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.

Keywords

Cloud Computing, Virtualization, Resource Allocation, Distributed Systems

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