article

Performance analysis based resource allocation for green cloud computing

Authors:

Young-Sik Jeong,

Haeng Jin JangAuthors Info & Claims

The Journal of Supercomputing, Volume 69, Issue 3

Pages 1013 - 1026

https://doi.org/10.1007/s11227-013-1020-x

Published: 01 September 2014 Publication History

Abstract

Cloud computing has become a new computing paradigm that has huge potentials in enterprise and business. Green cloud computing is also becoming increasingly important in a world with limited energy resources and an ever-rising demand for more computational power. To maximize utilization and minimize total cost of the cloud computing infrastructure and running applications, resources need to be managed properly and virtual machines shall allocate proper host nodes to perform the computation. In this paper, we propose performance analysis based resource allocation scheme for the efficient allocation of virtual machines on the cloud infrastructure. We experimented the proposed resource allocation algorithm using CloudSim and its performance is compared with two other existing models.

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Cited By

Wang DJi QLi D(2022)Cloud computing-driven resource allocation method for global tennis training: a performance optimization with game theory considerationWireless Networks10.1007/s11276-022-03106-630:6(4903-4912)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1007/s11276-022-03106-6
Satveer Aswal M(2021)VM Consolidation Plan for Improving the Energy Efficiency of CloudCybernetics and Information Technologies10.2478/cait-2021-003521:3(145-159)Online publication date: 1-Sep-2021
https://dl.acm.org/doi/10.2478/cait-2021-0035
Satveer Aswal M(2021)VM Consolidation Plan for Improving the Energy Efficiency of CloudCybernetics and Information Technologies10.2478/cait-2020-003521:3(145-159)Online publication date: 1-Sep-2021
https://dl.acm.org/doi/10.2478/cait-2020-0035
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Performance analysis based resource allocation for green cloud computing

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Published In

cover image The Journal of Supercomputing

The Journal of Supercomputing Volume 69, Issue 3

September 2014

510 pages

ISSN:0920-8542

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Copyright © Copyright © 2014 Springer Science+Business Media New York.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 September 2014

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Cited By

Wang DJi QLi D(2022)Cloud computing-driven resource allocation method for global tennis training: a performance optimization with game theory considerationWireless Networks10.1007/s11276-022-03106-630:6(4903-4912)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1007/s11276-022-03106-6
Satveer Aswal M(2021)VM Consolidation Plan for Improving the Energy Efficiency of CloudCybernetics and Information Technologies10.2478/cait-2021-003521:3(145-159)Online publication date: 1-Sep-2021
https://dl.acm.org/doi/10.2478/cait-2021-0035
Satveer Aswal M(2021)VM Consolidation Plan for Improving the Energy Efficiency of CloudCybernetics and Information Technologies10.2478/cait-2020-003521:3(145-159)Online publication date: 1-Sep-2021
https://dl.acm.org/doi/10.2478/cait-2020-0035
Durgadevi PSrinivasan S(2020)Resource Allocation in Cloud Computing Using SFLA and Cuckoo Search HybridizationInternational Journal of Parallel Programming10.1007/s10766-018-0590-x48:3(549-565)Online publication date: 1-Jun-2020
https://dl.acm.org/doi/10.1007/s10766-018-0590-x
Boukerche AGuan SGrande R(2019)Sustainable Offloading in Mobile Cloud ComputingACM Computing Surveys10.1145/328668852:1(1-37)Online publication date: 21-Feb-2019
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Chae MLee HLee K(2019)A performance comparison of linux containers and virtual machines using Docker and KVMCluster Computing10.1007/s10586-017-1511-222:1(1765-1775)Online publication date: 1-Jan-2019
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Patel NPatel H(2018)Energy Efficient Resource Allocation During Initial Mapping of Virtual Machines to Servers in Cloud DatacentersInternational Journal of Distributed Systems and Technologies10.4018/IJDST.20180101039:1(39-54)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.4018/IJDST.2018010103
Li CLiu YYan X(2017)Optimization-based resource allocation for software as a service application in cloud computingJournal of Scheduling10.1007/s10951-016-0491-z20:1(103-113)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1007/s10951-016-0491-z
Madni SLatiff MCoulibaly YAbdulhamid S(2017)Recent advancements in resource allocation techniques for cloud computing environmentCluster Computing10.1007/s10586-016-0684-420:3(2489-2533)Online publication date: 1-Sep-2017
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Yousafzai AGani ANoor RSookhak MTalebian HShiraz MKhan M(2017)Cloud resource allocation schemesKnowledge and Information Systems10.1007/s10115-016-0951-y50:2(347-381)Online publication date: 1-Feb-2017
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