• DocumentCode
    2528697
  • Title

    Prediction of hotspot in data centric storage

  • Author

    Amiri, Zeynab ; Sabae, Masoud

  • Author_Institution
    Minist. of Res. Sci. & Technol., Tehran, Iran
  • fYear
    2011
  • fDate
    26-28 Sept. 2011
  • Firstpage
    149
  • Lastpage
    153
  • Abstract
    Some event stored too far from event discoverer or nodes because of random nature of hash functions in data centric storage techniques and nodes in hash locations deal with handling a lot of events called hotspot problems. Such problems result in high load and decrease total quality. The aim of this paper is to combat these problems. Simulation results show that proposed approach performed significantly better than traditional approaches.
  • Keywords
    data handling; storage management; data centric storage techniques; events handling; hash functions; hash locations; hotspot prediction; Conferences; Energy storage; Load management; Proposals; Protocols; Sensors; Wireless sensor networks; DCS (Data Centric Storage); GHT (Geographic Hash Table); Hotspot problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Management (ICDIM), 2011 Sixth International Conference on
  • Conference_Location
    Melbourn, QLD
  • ISSN
    Pending
  • Print_ISBN
    978-1-4577-1538-9
  • Type

    conf

  • DOI
    10.1109/ICDIM.2011.6093346
  • Filename
    6093346