• DocumentCode
    1661139
  • Title

    Tornado: a capability-aware peer-to-peer storage network

  • Author

    Hsiao, Hung-Chang ; King, Chung-Ta

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2003
  • Abstract
    Peer-to-peer storage networks aim at aggregating the unused storage in today\´s resource-abundant computers to form a large, shared storage space. To lay over the extremely variant machines, networks and administrative organizations, peer-to-peer storage networks must be aware of the capabilities of the constituent components to leverage their resources, performance and reliability. This paper reports our design of such a peer-to-peer storage network, called Tornado. Tornado is built on top of two concepts. The first is the virtual home concept, which adds an extra level of abstraction between data and storage nodes to mask the underlying heterogeneity. The second concept is the classification of the storage nodes into "good" and "bad" according to their static and dynamic capabilities. Only "good" peers can host virtual homes, whereby introducing quality of services into the storage network. We evaluate Tornado via simulation. The results show that Tornado is comparable with previous systems, where each route takes at most [log N] hops, anew node takes [log N]2 messages to join, and the memory overhead in each node is O(log N). Moreover, Tornado is able to provide comprehensive services with features scattered in different systems previously, and takes account of and exploits the heterogeneity in the underlying network environment.
  • Keywords
    computer networks; digital simulation; performance evaluation; storage management; Tornado; capability-aware peer-to-peer storage network; performance evaluation; simulation; source- abundant computers; virtual home concept; Computer network reliability; Computer networks; Computer science; Hardware; Network servers; Peer to peer computing; Quality of service; Routing; Scattering; Tornadoes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2003. Proceedings. International
  • ISSN
    1530-2075
  • Print_ISBN
    0-7695-1926-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2003.1213171
  • Filename
    1213171