• DocumentCode
    1667114
  • Title

    A Community-Based Cloud Computing Caching Service

  • Author

    Idachaba, Unekwu ; Wang, Frank

  • Author_Institution
    Sch. of Comput., Univ. of Kent, Canterbury, UK
  • fYear
    2015
  • Firstpage
    559
  • Lastpage
    566
  • Abstract
    Caching has become an important technology in the development of cloud computing-based high-performance web services. Caches reduce the request to response latency experienced by users, and reduce workload on backend databases. They need a high cache-hit rate to be fit for purpose, and this rate is dependent on the cache management policy used. Existing cache management policies are not designed to prevent cache pollution or cache monopoly problems, which impacts negatively on the cache-hit rate. This paper proposes a community-based caching approach (CC) to address these two problems. CC was evaluated for performance against thirteen commercially available cache management policies, and results demonstrate that the cache-hit rate achieved by CC was between 0.7% and 55% better than the alternate cache management policies.
  • Keywords
    Web services; cache storage; cloud computing; backend databases; cache management policy; cache monopoly problems; cache pollution problems; cloud computing-based high-performance Web services; community-based cloud computing caching service; response latency; Cloud computing; Clustering algorithms; Databases; Monopoly; Pollution; Servers; Artificial Bee Colony; Cache; Cloud Computing; Clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2015 IEEE International Congress on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7277-0
  • Type

    conf

  • DOI
    10.1109/BigDataCongress.2015.87
  • Filename
    7207271