Energy-aware virtual machine consolidation for cloud data centers

ALBOANEEN, Dabiah Ahmed, PRANGGONO, Bernardi and TIANFIELD, Huaglory (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. IEEE Computer Society, 1010-1015.

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    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.

    Item Type: Book Section
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Page Range: 1010-1015
    Depositing User: Bernardi Pranggono
    Date Deposited: 30 Aug 2018 14:43
    Last Modified: 16 Nov 2018 13:31
    URI: http://shura.shu.ac.uk/id/eprint/21269

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