Cover Image

An effective approach for managing power consumption in cloud computing infrastructure

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Khalil Abd, Sura, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Fazirulhisyam, Abdullah, Azizol, Yussof, Salman
Format: Article
Language:English
Published: Elsevier B.V. 2017
Online Access:http://psasir.upm.edu.my/id/eprint/60811/1/An%20effective%20approach%20for%20managing%20power%20consumption%20in%20cloud%20computing%20infrastructure.pdf
http://psasir.upm.edu.my/id/eprint/60811/
https://reader.elsevier.com/reader/sd/pii/S1877750316303830?token=61B1667C3A73BF0A42DAE1C910BCAC3665F3E43B13A2535A407320422F7B94B006B1E3EB1116A668D92257A9578FAAEA
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.60811
record_format eprints
spelling my.upm.eprints.608112019-04-24T10:59:20Z http://psasir.upm.edu.my/id/eprint/60811/ An effective approach for managing power consumption in cloud computing infrastructure Khalil Abd, Sura Syed Mohamed, Syed Abdul Rahman Al-Haddad Hashim, Fazirulhisyam Abdullah, Azizol Yussof, Salman 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. Elsevier B.V. 2017-07 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60811/1/An%20effective%20approach%20for%20managing%20power%20consumption%20in%20cloud%20computing%20infrastructure.pdf Khalil Abd, Sura and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Hashim, Fazirulhisyam and Abdullah, Azizol and Yussof, Salman (2017) An effective approach for managing power consumption in cloud computing infrastructure. Journal of Computational Science, 21. 349 - 360. ISSN 1877-7503 https://reader.elsevier.com/reader/sd/pii/S1877750316303830?token=61B1667C3A73BF0A42DAE1C910BCAC3665F3E43B13A2535A407320422F7B94B006B1E3EB1116A668D92257A9578FAAEA 10.1016/j.jocs.2016.11.007
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Article
author Khalil Abd, Sura
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Hashim, Fazirulhisyam
Abdullah, Azizol
Yussof, Salman
spellingShingle Khalil Abd, Sura
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Hashim, Fazirulhisyam
Abdullah, Azizol
Yussof, Salman
An effective approach for managing power consumption in cloud computing infrastructure
author_facet Khalil Abd, Sura
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Hashim, Fazirulhisyam
Abdullah, Azizol
Yussof, Salman
author_sort Khalil Abd, Sura
title An effective approach for managing power consumption in cloud computing infrastructure
title_short An effective approach for managing power consumption in cloud computing infrastructure
title_full An effective approach for managing power consumption in cloud computing infrastructure
title_fullStr An effective approach for managing power consumption in cloud computing infrastructure
title_full_unstemmed An effective approach for managing power consumption in cloud computing infrastructure
title_sort effective approach for managing power consumption in cloud computing infrastructure
publisher Elsevier B.V.
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/60811/1/An%20effective%20approach%20for%20managing%20power%20consumption%20in%20cloud%20computing%20infrastructure.pdf
http://psasir.upm.edu.my/id/eprint/60811/
https://reader.elsevier.com/reader/sd/pii/S1877750316303830?token=61B1667C3A73BF0A42DAE1C910BCAC3665F3E43B13A2535A407320422F7B94B006B1E3EB1116A668D92257A9578FAAEA
_version_ 1643837445332008960
score 13.211869

Similar Items