• DocumentCode
    3141255
  • Title

    Real Time Elastic Cloud Management for Limited Resources

  • Author

    He, Sijin ; Guo, Li ; Guo, Yike

  • Author_Institution
    Dept. of Comput., Imperial Coll. London, London, UK
  • fYear
    2011
  • fDate
    4-9 July 2011
  • Firstpage
    622
  • Lastpage
    629
  • Abstract
    An Infrastructure-as-a-Service (IaaS) provider is usually assumed to own a large data centre with significant computational resources. For a small or medium sized Internet Data Centre (IDC), offering cloud computing service is a nature of business model but there are technical barriers which need to be resolved. One of the key issues is ineffective resource management given such an IDC usually has only limited resource. In this paper, we propose an efficient resource management solution specially designed for helping small and medium sized IaaS cloud providers to better utilise their hardware resources with minimum operational cost. Such an optimised resource utilisation is achieved by a well-designed underlying hardware infrastructure, an efficient resource scheduling algorithm and a set of migrating operations of VMs.
  • Keywords
    cloud computing; computer centres; real-time systems; resource allocation; business model; cloud computing service; hardware resource management; infrastructure-as-a-service; medium sized Internet data centre; real time elastic cloud management; resource scheduling algorithm; resource utilisation; small sized Internet data centre; Cloud computing; Hardware; Memory management; Real time systems; Resource management; Servers; Virtual machine monitors; Cloud Computing; IaaS; Resource Scheduling; VM Migration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2011 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    2159-6182
  • Print_ISBN
    978-1-4577-0836-7
  • Electronic_ISBN
    2159-6182
  • Type

    conf

  • DOI
    10.1109/CLOUD.2011.47
  • Filename
    6008763