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New approach for reducing energy consumption and load balancing in data centers of cloud computing

Tarahomi, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.3233/JIFS-181016
  3. Publisher: IOS Press , 2019
  4. Abstract:
  5. Cloud computing is a new framework, which is facing a numerous type of challenges including resource management and energy consumption of data centers. One of the most important duties of cloud service providers is to manage resources and schedule tasks for reducing energy consumption in data centers. In this paper, fuzzy logic is used for finding most adequate DC, improved DVFS algorithm is used for selecting ideal host and developed version of EDF-VD algorithm is utilized for Task scheduling and load balance in cloud computing. Our approach improvement to the current methods including EEVS, DVFS, Homogeneous, MBFD and EEVS-N. © 2019-IOS Press and the authors. All rights reserved
  6. Keywords:
  7. Load balancing ; Task scheduling ; Cloud computing ; Energy utilization ; Fuzzy logic ; Information management ; Multitasking ; Resource allocation ; Scheduling algorithms ; Cloud service providers ; Data centers ; Load balance ; New approaches ; Reducing energy consumption ; Resource management ; Task-scheduling ; Green computing
  8. Source: Journal of Intelligent and Fuzzy Systems ; Volume 37, Issue 5 , 2019 , Pages 6443-6455 ; 10641246 (ISSN)
  9. URL: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs181016