• DocumentCode
    2334779
  • Title

    Large-Scale Peer-to-Peer Autonomic Monitoring

  • Author

    Leitão, João ; Rosa, Liliana ; Rodrigues, Luís

  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 4 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The increasing scale and complexity of distributed system motivates the need for autonomous management. One of the key aspects in the management of distributed systems is the issue of component monitoring. Component monitoring is particularly challenging in large-scale dynamic systems, given the need to ensure that each component is monitored by at least one non-faulty component, despite joins, leaves, and failures, both at node and at network level. This paper proposes that components self-organize in an unstructured overlay network of constant degree in order to ensure that each component is always monitored by a threshold of other components.
  • Keywords
    peer-to-peer computing; distributed system complexity; large-scale peer-to-peer autonomic monitoring; unstructured overlay network; Condition monitoring; Hardware; Humans; Large-scale systems; Network topology; Peer to peer computing; Power system faults; Protection; Protocols; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GLOBECOM Workshops, 2008 IEEE
  • Conference_Location
    New Orleans, LO
  • Print_ISBN
    978-1-4244-3061-1
  • Electronic_ISBN
    978-1-4244-3062-8
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2008.ECP.18
  • Filename
    4746603