An energy efficient VM allocation approach for data centers

Iksen Caglar, Deniz Turgay Altilar

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

3 Citations (Scopus)

Abstract

Due to the rapid growth in the data storage and data processing demands, the energy consumption of data centers is becoming a key challenge. Live migration of Virtual Machine (VM) is commonly proposed to reduce energy consumption and to optimize resource usage in the literature although itcomes withessential drawbacks such as migration cost and Service Level Agreement Violation (SLAV). Anovel efficient resource management policy for virtualized data centers which optimizes the number of resources to meet requirements of dynamic workloads without migration is proposed in this paper. The proposed approach contains an experiment based prediction module. Energy-performance trade off relies on comparison of the predicted and the active number of servers periodically. The performance evaluations of the proposed approach are performed by using real-world workload traces from Planet Lab. The proposed algorithm is also compared to the other techniques proposed in the literature based on VM migration.

Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016
EditorsMeikang Qiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages240-244
Number of pages5
ISBN (Electronic)9781509024025
DOIs
Publication statusPublished - 30 Jun 2016
Event2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016 - New York, United States
Duration: 9 Apr 201610 Apr 2016

Publication series

NameProceedings - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016

Conference

Conference2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016
Country/TerritoryUnited States
CityNew York
Period9/04/1610/04/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Cloud Computing
  • Energy Efficiency
  • Green Computing
  • Resource Management
  • VM Migration

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