• DocumentCode
    1624616
  • Title

    Using Finite Series Model (FSM) and cache techniques for estimating scalability level

  • Author

    Beetarafan Bitarafan, Katayoon ; Bateni, N.H.

  • Author_Institution
    Fac. of Comput. Sci. & Math. (FSKM), Univ. Teknol. Mara (UiTM), Shah Alam, Malaysia
  • fYear
    2012
  • Firstpage
    602
  • Lastpage
    606
  • Abstract
    In order to carefully consider transformational green virtual movement, improving memory management seems an inevitable trend that each growing e-business size must take in to consideration. This paper try to proposes mathematical modelling approach that predict hit ratio reduced by two different cache placement. A Finite Series Model (FSM) were applied to measure the hit ratio saving resulted from the copies made in the cache for the requested objects. By using this model, the scalability problem can be formulated as a function of the object requests that hit the server successfully. This study also proved that the hit ratio on the origin server along adopted cache schemes follows the finite series functions. As a result, it was possible to achieve the mathematical solution by using such series.
  • Keywords
    Internet; cache storage; storage management; FSM; Web caching; cache placement; e-business size; finite series model; hit ratio prediction; hit ratio saving measurement; mathematical modelling approach; memory management; scalability level estimation; scalability problem; transformational green virtual movement; Analytical models; Bandwidth; Computational modeling; Market research; Mathematical model; Scalability; Servers; Cache mathematical model; Caching technique; Finite Series; cluster networks; distributed-cache; web caching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (IST), 2012 Sixth International Symposium on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4673-2072-6
  • Type

    conf

  • DOI
    10.1109/ISTEL.2012.6483059
  • Filename
    6483059