• DocumentCode
    729488
  • Title

    Study and performance analysis of various VM placement strategies

  • Author

    Chowdhury, Mohammed Rashid ; Mahmud, Mohammad Raihan ; Rahman, Rashedur M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North South Univ., Dhaka, Bangladesh
  • fYear
    2015
  • fDate
    1-3 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    IaaS has become one of the most dominant features that cloud computing offers by providing access to computing resources in a virtualized environment. IaaS enables datacenter´s hardware to get virtualized using virtualization, which allows Cloud providers to create multiple Virtual Machine (VMs) instances on a single physical machine, thus improving resource utilization and increasing the Return on Investment (ROI). The placement of VMs among hosts is interpreted as a bin packing problem in most of the time. In this work, we have implemented some of the bin packing solutions to address these VM placement problems. We ran our simulation on a cloud computing simulation toolkit known as CloudSim using Planet Lab workload data.
  • Keywords
    cloud computing; computer centres; operating systems (computers); virtual machines; CloudSim; IaaS; Planet lab workload data; ROI; Return on Investment; VM; bin packing problem; cloud computing; cloud providers; datacenter hardware; multiple virtual machine; resource utilization; various VM placement strategies; virtualized environment; Data models; Degradation; Power demand; Quality of service; Resource management; Servers; Virtual machining; VM placement; bin packing; cloud computing; dynamic consolidation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015 16th IEEE/ACIS International Conference on
  • Conference_Location
    Takamatsu
  • Type

    conf

  • DOI
    10.1109/SNPD.2015.7176234
  • Filename
    7176234