Glowworm swarm optimisation algorithm for virtual machine placement in cloud computing

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

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    Abstract

    Virtual machine placement (VMP) is the assignment of virtual machines (VMs) to physical hosts (PHs). In this paper, we apply a glowworm swarm optimisation (GSO) algorithm to solve the VMP problem so that the energy consumption and the service level agreement (SLA) violation are minimised. Simulation results show that GSO based VMP algorithm outperforms many of the common VMP algorithms.
    Original languageEnglish
    Title of host publicationUbiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016 Intl IEEE Conferences
    PublisherIEEE
    Pages808-814
    Number of pages7
    ISBN (Print)9781509027729
    DOIs
    Publication statusPublished - Jan 2017

    Keywords

    • cloud computing
    • resource management
    • energy efficiency
    • glowworm swarm optimisation (GSO)
    • virtual machine placement

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  • Cite this

    Alboaneen, D. A., Tianfield, H., & Zhang, Y. (2017). Glowworm swarm optimisation algorithm for virtual machine placement in cloud computing. In Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016 Intl IEEE Conferences (pp. 808-814). IEEE. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0129