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SLA-aware and energy-efficient VM consolidation in cloud data centers using host states naive Bayesian prediction model

  • Harbin Institute of Technology

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

Abstract

Virtual Machine (VM) consolidation provides a promising approach to save energy and improve resource utilization in data centers. However, aggressive consolidation of VMs may lead to the Service Level Agreements(SLA) violation which is essential for data centers and their users. Therefore, reduction of the SLA violation level and power costs are considered as two objectives in this paper. We present a host states prediction mode based on Naive Bayesian classifier for SLA-aware and energy-efficient consolidation of VMs in cloud data centers. Different from other future resource utilization prediction methods, our proposed method predict the future host states instead. We validate our approach with the CloudSim toolkit using real world PlanetLab workload and random workload. The experimental results show that our proposed method can significantly reduce SLA violation rates while keeping energy cost efficient.

Original languageEnglish
Title of host publicationProceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
EditorsJinjun Chen, Laurence T. Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-87
Number of pages8
ISBN (Electronic)9781728111414
DOIs
StatePublished - 2 Jul 2018
Event16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 - Melbourne, Australia
Duration: 11 Dec 201813 Dec 2018

Publication series

NameProceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018

Conference

Conference16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
Country/TerritoryAustralia
CityMelbourne
Period11/12/1813/12/18

Keywords

  • Cloud data centers
  • Energy-efficient
  • Naive Bayesian classifier
  • SLA-aware
  • VM consolidation

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