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
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