• DocumentCode
    3245288
  • Title

    Quantification of Security for Compute Intensive Workloads in Clouds

  • Author

    Arshad, Junaid ; Townend, Paul ; Xu, Jie

  • Author_Institution
    Sch. of Comput., Univ. of Leeds, Leeds, UK
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    479
  • Lastpage
    486
  • Abstract
    Cloud computing is a promising technology to facilitate development of large-scale, on-demand, flexible computing infrastructures. However, improving dependability of cloud computing is critical for realization of its potential. In this paper, we describe our efforts to quantify security for Clouds to facilitate provision of assurance for quality of service, one of the factors contributing to dependability. This has profound implications for delivering customized security solutions such as effective intrusion prevention and detection which is the overall objective of our research. In order to demonstrate the applicability of our research, we have incorporated these requirements in the resource acquisition phase for Clouds. We also present experiments to demonstrate the effectiveness of our approach to address the random migration problem for virtualized computing environments.
  • Keywords
    Internet; quality of service; security of data; cloud computing; cloud security; intrusion detection; intrusion prevention; quality of service; random migration problem; resource acquisition phase; virtualized computing environments; Cloud computing; Concurrent computing; Distributed computing; Grid computing; High performance computing; Large-scale systems; Memory; Quality of service; Security; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems (ICPADS), 2009 15th International Conference on
  • Conference_Location
    Shenzhen
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4244-5788-5
  • Type

    conf

  • DOI
    10.1109/ICPADS.2009.46
  • Filename
    5395324