• DocumentCode
    1984459
  • Title

    Stabilizing Peer-to-Peer Systems Using Public Cloud: A Case Study of Peer-to-Peer Search

  • Author

    Dharanipragada, Janakiram ; Haridas, Harisankar

  • Author_Institution
    Dept. of CSE, Indian Inst. of Technol. (IIT), Chennai, India
  • fYear
    2012
  • fDate
    25-29 June 2012
  • Firstpage
    135
  • Lastpage
    142
  • Abstract
    Co-operative peer-to-peer systems have lot of relevance due to their desirable properties like lack of centralized control and transparency. But in certain applications, the stability of peer-to-peer systems is affected when concentrated load spikes occur. In this work, we explore the case for cloud-assisted peer-to-peer systems to handle spikes using peer-to-peer search as a case study. We identify the issues involved in realizing cloud-assisted peer-to-peer systems and propose, implement and evaluate Cloud-Assisted Peer-to-Peer Search (CAPS) architecture which fits in with the co-operative nature of peer-to-peer systems. The experimental results show that CAPS provides stability to peer-to-peer search service during query spikes without affecting user experience adversely.
  • Keywords
    cloud computing; peer-to-peer computing; query processing; software architecture; CAPS architecture; cloud-assisted peer-to-peer search; cloud-assisted peer-to-peer system; cooperative peer-to-peer system; load spikes; peer-to-peer search service; public cloud; query spike; system stability; Bandwidth; Cloud computing; Indexes; Peer to peer computing; Routing; Search engines; Switches; peer-to-peer computing; search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing (ISPDC), 2012 11th International Symposium on
  • Conference_Location
    Munich/Garching, Bavaria
  • Print_ISBN
    978-1-4673-2599-8
  • Type

    conf

  • DOI
    10.1109/ISPDC.2012.26
  • Filename
    6341504