A New Energy Efficient VM Scheduling Algorithm for Cloud Computing Based on Dynamic Programming

  • Kepi Zhang
  • , Tong Wu
  • , Siyuan Chen
  • , Linsen Cai
  • , Chao Peng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

As a new computing paradigm, cloud computing has significantly contributed to the rapid development of massive data centers. However, the corresponding energy issue becomes increasingly challenging. In this paper, we focus on the energy saving issue for virtual machine (VM) selections on an overloaded host in a cloud computing environment. We analyze the energy influencing factors during a VM migration, then design energy efficient VM selection algorithms based on greedy algorithm and dynamic programming method. We conduct experiments with CloudSim and results show that the proposed algorithm in this paper can effectively reduce energy consumption while satisfying the SLA constraints.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017
EditorsMeikang Qiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages249-254
Number of pages6
ISBN (Electronic)9781509066438
DOIs
StatePublished - 20 Jul 2017
Event4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017 - New York, United States
Duration: 26 Jun 201728 Jun 2017

Publication series

NameProceedings - 4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017

Conference

Conference4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017 and 3rd IEEE International Conference of Scalable and Smart Cloud, SSC 2017
Country/TerritoryUnited States
CityNew York
Period26/06/1728/06/17

Keywords

  • Cloud computing
  • CloudSim
  • dynamic programming
  • greedy algorithm
  • green computing

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