• DocumentCode
    1860112
  • Title

    Evaluating the scalability of distributed systems

  • Author

    Jogalekar, Prasad ; Woodside, Murray

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
  • Volume
    7
  • fYear
    1998
  • fDate
    6-9 Jan 1998
  • Firstpage
    524
  • Abstract
    A system design is scalable if it can be economically deployed at a range of scales, in both small and large configurations. Little attention has been paid to measuring and comparing the scalability of different designs of software for distributed operation. Recently a new measure of scalability (called here P-scalability since it bused on the “power” metric) has been defined specifically for distributed systems. The paper generalizes the metric, defines a scaling path embodying a strategy modifying the system as it is scaled up, and employs scalability enabling parameters which adapt the system to give the maximum value of the scalability metric, at any point along the scaling path
  • Keywords
    parallel programming; software metrics; software performance evaluation; P-scalability; distributed operation; distributed systems scalability evaluation; maximum value; power metric; scalability enabling parameters; scalability metric; scaling path; Concurrent computing; Costs; Delay; Distributed computing; Power generation economics; Power measurement; Quality of service; Scalability; Throughput; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1998., Proceedings of the Thirty-First Hawaii International Conference on
  • Conference_Location
    Kohala Coast, HI
  • Print_ISBN
    0-8186-8255-8
  • Type

    conf

  • DOI
    10.1109/HICSS.1998.649248
  • Filename
    649248