• DocumentCode
    2563752
  • Title

    A Multi-Agent Based Autonomic Management Architecture for Large-Scale Server Clusters

  • Author

    Xue, Zhenghua ; Dong, Xiaoshe ; Liu, Weizhe ; Li, Junyang ; Liao, Shihua

  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    247
  • Lastpage
    251
  • Abstract
    As the size of the server cluster increases, management of clusters has been a daunting task. Traditional management architecture of cluster system fails in providing efficient management as the scale of a cluster increases. In this paper, a novel management architecture of a large-scale cluster system, called cooperation-oriented hierarchical autonomic architecture (CHAA), has been proposed to achieve an efficient management. We employed multi-agents to construct CHAA. Considering that the intrusion caused by bidding increases dramatically when the number of agents is large, we proposed hierarchical Contract Net Protocol (HCNP) to relieve the overhead. Generalized partial global planning (GPGP) has been introduced into CHAA to enable agents recognize their potential interrelationship and it has been combined with HCNP as the cooperation method of agents in CHAA. We made performance measurement on the traditional management architecture and CHAA, and the results showed that CHAA is a light weight management architecture which promises good scalability.
  • Keywords
    Centralized control; Computer architecture; Conference management; Control systems; Knowledge management; Large-scale systems; Peer to peer computing; Scalability; Size control; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2007 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    0-7695-3072-9
  • Electronic_ISBN
    978-0-7695-3072-7
  • Type

    conf

  • DOI
    10.1109/CIS.2007.154
  • Filename
    4415341