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

    27 Citations (Scopus)


    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
    Number of pages6
    ISBN (Print)9781479978816
    Publication statusPublished - 2 Feb 2015


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


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