An effective approach for managing power consumption in cloud computing infrastructure

Sura Khalil Abd, S. A.R. Al-Haddad, Fazirulhisyam Hashim, Azizol B.H.J. Abdullah, Salman Yussof

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Cloud computing offers a dynamic provisioning of server capabilities as a scalable virtualized service. Big datacenters which deliver cloud computing services consume a lot of power. This results in high operational cost and large carbon emission. One way to lower power consumption without affecting the cloud services quality is to consolidate resources for reducing power. In this paper, we introduce a DNA-based Fuzzy Genetic Algorithm (DFGA) that employs DNA-based scheduling strategies to reduce power consumption in cloud datacenters. It is a power-aware architecture for managing power consumption in the cloud computing infrastructure. We also identify the performances metrics that are needed to evaluate the proposed work performance. The experimental results show that DFGA reduced power consumption when comparing with other algorithms. Our proposed work deals with real time task which is not static, and concentrates on the dynamic users since they are involved in cloud.

Original languageEnglish
Pages (from-to)349-360
Number of pages12
JournalJournal of Computational Science
Volume21
DOIs
Publication statusPublished - 01 Jul 2017

Fingerprint

Cloud computing
Cloud Computing
Power Consumption
Electric power utilization
Infrastructure
DNA
Fuzzy Algorithm
Genetic algorithms
Genetic Algorithm
Service Quality
Performance Metrics
Carbon
Servers
Server
Scheduling
Resources
Evaluate
Costs
Experimental Results

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)
  • Modelling and Simulation

Cite this

Abd, Sura Khalil ; Al-Haddad, S. A.R. ; Hashim, Fazirulhisyam ; Abdullah, Azizol B.H.J. ; Yussof, Salman. / An effective approach for managing power consumption in cloud computing infrastructure. In: Journal of Computational Science. 2017 ; Vol. 21. pp. 349-360.
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An effective approach for managing power consumption in cloud computing infrastructure. / Abd, Sura Khalil; Al-Haddad, S. A.R.; Hashim, Fazirulhisyam; Abdullah, Azizol B.H.J.; Yussof, Salman.

In: Journal of Computational Science, Vol. 21, 01.07.2017, p. 349-360.

Research output: Contribution to journalArticle

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