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A scalable and robust framework for agent-based heterogeneous database operation

Li, Chunsheng, Zhang, Chengqi, Chen, Qingfeng and Zhang, Zili 2003, A scalable and robust framework for agent-based heterogeneous database operation, in IAWTIC 2003 : Proceedings of 2003 International Conference on Intelligent Agents, Web Technologies and Internet Commerce, University of Canberra, Canberra, A.C.T., pp. 260-271.

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Title A scalable and robust framework for agent-based heterogeneous database operation
Author(s) Li, Chunsheng
Zhang, Chengqi
Chen, Qingfeng
Zhang, Zili
Conference name Intelligent Agents, Web Technologies and Internet Commerce. Conference (2003 : Vienna, Austria)
Conference location Vienna, Austria
Conference dates 12-14 February 2003
Title of proceedings IAWTIC 2003 : Proceedings of 2003 International Conference on Intelligent Agents, Web Technologies and Internet Commerce
Editor(s) Mohammadian, Masoud
Publication date 2003
Conference series Intelligent Agents, Web Technologies and Internet Commerce Conference
Start page 260
End page 271
Publisher University of Canberra
Place of publication Canberra, A.C.T.
Summary How to operate database efficiently and unfailingly in agent-based heterogeneous data source environment is becoming a big problem. In this paper, we contribute a framework and develop a couple of agent-oriented matchmakers with logical ring organization structure to match task agents' requests with middleware agents of databases. The middleware agent is a wrapper of a specific database and is run on the same server with the database management system. The matchmaker is of the features of proliferation and self-cancellation according to the sensory input from its environment. The ring-based coordination mechanism of matchmakers is designed. Two kinds of matchmakers, namely, host and duplicate, are designed for improving the scalability and robustness of agent-based system. The middleware agents are improved for satisfying the framework. We demonstrate the potentials of the framework by case study and present theoretical and empirical evidence that our approach is scalable and robust.
ISBN 1740880692
9781740880695
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009588

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.