• DocumentCode
    2309901
  • Title

    An Analytical Performance Model of IP-SAN

  • Author

    Wang, Min ; Liu, Liu ; Xu, Wei ; Xu, Lu

  • Author_Institution
    Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    12-14 June 2008
  • Firstpage
    255
  • Lastpage
    262
  • Abstract
    In this paper we propose a component-based analytical performance model for IP-SAN. We model four key components within IP-SAN individually and they are IP network, cache, RAID and disks. We validate these component models and compose them to give an entire IP-SAN performance model. The entire IP-SAN model analyzes the performance of an IP-SAN configuration under multiple synchronous workloads by using closed queueing network model and under asynchronous workload by using open queueing network model. We also validate the entire IP-SAN performance model against a real IP-SAN system. The theoretical results are compared with the results from a real IP-SAN using a variety of synthetic workloads. These experiments prove that the component-based method is an appropriate way to build performance model for a complex storage system. To our knowledge, this is the first exploration into building analytical performance model for entire IP-SAN system and validating against a real system. We also identify areas for future research in the performance analysis of real IP-SAN.
  • Keywords
    IP networks; RAID; cache storage; queueing theory; storage area networks; IP network; IP-SAN system; RAID; asynchronous workload; cache storage; closed queueing network model; component-based analytical performance model; disk storage; multiple synchronous workloads; open queueing network model; Analytical models; Capacity planning; Computer architecture; IP networks; Internet; Performance analysis; Predictive models; Queueing analysis; Storage area networks; Storage automation; IP-SAN; performance model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Architecture, and Storage, 2008. NAS '08. International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3187-8
  • Type

    conf

  • DOI
    10.1109/NAS.2008.38
  • Filename
    4579601