Glowworm swarm optimisation algorithm for virtual machine placement in cloud computing

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

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

    20 Citations (Scopus)
    282 Downloads (Pure)


    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, 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
    Number of pages7
    ISBN (Electronic)9781509027712
    ISBN (Print)9781509027729
    Publication statusPublished - 16 Jan 2017


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


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