• DocumentCode
    1813067
  • Title

    A rule-based self-management strategy for devices monitoring network

  • Author

    Yao, Yuan ; Liang, Jianyong

  • Author_Institution
    Rapid Manuf. Eng. Center, Shanghai Univ., Shanghai, China
  • fYear
    2011
  • fDate
    15-17 Sept. 2011
  • Firstpage
    359
  • Lastpage
    363
  • Abstract
    With the expansion of production scale and the increasing complexity of system integration, how to integrate, reuse and manage software and hardware resources of enterprise has become an important problem. About this issue, industry and academia proposed different solutions. In industry, Web services Technology and SOA are introduced to reduce the complexity of system and make the system loosely coupled. On the other hand, academia makes use of the multi-Agent technology and the theory of autonomic computing to achieve self-management of system. Currently, these two solutions are still lack of effective combination. In this paper, a heterogeneous network for device monitoring is presented. It is a Web services-based framework and makes use of multi agent technology to achieve a goal that all devices connected to the network can be managed and guided by rules. The definition and implementation of rule based self-management agent and multi-agent rule synchronization methods are described in detail. An example system is also given to demonstrate the usability.
  • Keywords
    Web services; condition monitoring; multi-agent systems; production engineering computing; production equipment; service-oriented architecture; Web services; autonomic computing; device monitoring network; enterprise resource; hardware resource; heterogeneous equipment monitoring; multi-agent rule synchronization method; multi-agent technology; rule based self-management agent; rule-based self-management strategy; service-oriented architecture; software resource; Engines; Hardware; Man machine systems; Monitoring; Servers; Web services; ARPM framework; OPC-UA; Rule-based; self-management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-61284-203-5
  • Type

    conf

  • DOI
    10.1109/CCIS.2011.6045090
  • Filename
    6045090