Energy-aware virtual machine consolidation for cloud data centers

Dabiah Ahmed M Al Alboaneen, Bernardi Pranggono, Huaglory Tianfield

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    One of the issues in virtual machine consolidation (VMC) in cloud data centers is categorizing different workloads to classify the state of physical servers. In this paper, we propose a new scheme of host's load categorization in energy-performance VMC framework to reduce energy consumption while meeting the quality of service (QoS) requirement. Specifically the under loaded hosts are classified into three further states, i.e., Under loaded, normal and critical by applying the under load detection algorithm. We also design overload detection and virtual machine (VM) selection policies. The simulation results show that the proposed policies outperform the existing policies in Cloud Sim in terms of both energy and service level agreements violation (SLAV) reduction.
    Original languageEnglish
    Title of host publicationProceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing
    PublisherIEEE
    Pages1010-1015
    Number of pages6
    ISBN (Print)9781479978816
    DOIs
    Publication statusPublished - Dec 2014

    Keywords

    • virtual machine consolidation (VMC)
    • energy-aware
    • energy-efficient
    • cloud data centres

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  • Cite this

    Alboaneen, D. A. M. A., Pranggono, B., & Tianfield, H. (2014). Energy-aware virtual machine consolidation for cloud data centers. In Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (pp. 1010-1015). IEEE. https://doi.org/10.1109/UCC.2014.166