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A scalable and robust framework for agent-based heterogeneous database operation
conference contribution
posted on 2003-01-01, 00:00 authored by C Li, C Zhang, Qingfeng Chen, Zili ZhangZili ZhangHow 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.
History
Event
Intelligent Agents, Web Technologies and Internet Commerce. Conference (2003 : Vienna, Austria)Pagination
260 - 271Publisher
University of CanberraLocation
Vienna, AustriaPlace of publication
Canberra, A.C.T.Start date
2003-02-12End date
2003-02-14ISBN-13
9781740880695ISBN-10
1740880692Language
engPublication classification
E1 Full written paper - refereed; E Conference publicationCopyright 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.Editor/Contributor(s)
M MohammadianTitle of proceedings
IAWTIC 2003 : Proceedings of 2003 International Conference on Intelligent Agents, Web Technologies and Internet CommerceUsage metrics
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