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  1. A hybrid algorithm to reduce energy consumption management in cloud data centers

A hybrid algorithm to reduce energy consumption management in cloud data centers

Tarahomi, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.11591/ijece.v9i1.pp.554-561
  3. Publisher: Institute of Advanced Engineering and Science , 2019
  4. Abstract:
  5. There are several physical data centers in cloud environment with hundreds or thousands of computers. Virtualization is the key technology to make cloud computing feasible. It separates virtual machines in a way that each of these so-called virtualized machines can be configured on a number of hosts according to the type of user application. It is also possible to dynamically alter the allocated resources of a virtual machine. Different methods of energy saving in data centers can be divided into three general categories: 1) methods based on load balancing of resources; 2) using hardware facilities for scheduling; 3) considering thermal characteristics of the environment. This paper focuses on load balancing methods as they act dynamically because of their dependence on the current behavior of system. By taking a detailed look on previous methods, we provide a hybrid method which enables us to save energy through finding a suitable configuration for virtual machines placement and considering special features of virtual environments for scheduling and balancing dynamic loads by live migration method. Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved
  6. Keywords:
  7. Cloud data center ; Cloudsim ; Energy consumption ; Load balance ; Migration
  8. Source: International Journal of Electrical and Computer Engineering ; Volume 9, Issue 1 , 2019 , Pages 554-561 ; 20888708 (ISSN)
  9. URL: http://ijece.iaescore.com/index.php/IJECE/article/view/8250