• DocumentCode
    3612649
  • Title

    Sponge: an oversubscription strategy supporting performance interference management in cloud

  • Author

    Liu Ying

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    12
  • Issue
    11
  • fYear
    2015
  • fDate
    11/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    14
  • Abstract
    Resource oversubscription optimizes the utilization of the computing resources. Many well-known virtual machine monitors (VMMs), such as Xen and KVM, adopt this approach to help maximize the yield of the cloud datacenters. That is, with proper resource oversubscription strategies, more virtual machines (VMs) can be supported by limited resources. However, performance interference among VMs hosting in the same physical machines (PMs) exists in cloud environment, and probably aggravated by resource oversubscription strategies, which aims to put more VMs into the same PM. In this paper, we present a resource oversubscription strategy called Sponge targeting cloud platforms. Sponge mitigates the issue of performance interference among the oversubscribed co-hosting VMs. Sponge also provides a VM association strategy for each PM to handle with its besteffort We performed our evaluation on a virtual datacenter simulated by Xen. Our evaluation results show that Sponge improves the resources utilization and manages to make each VM meet its performance requirement even hosting with other VMs in the same PM.
  • Keywords
    cloud computing; computer centres; virtual machines; Sponge targeting cloud platforms; VM association strategy; VMM; Xen; cloud datacenters; performance interference management; physical machines; resource oversubscription strategy; virtual machine monitors; Bandwidth; Cloud computing; Face; Interference; Resource management; Servers; Virtual machine monitors;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2015.7366242
  • Filename
    7366242