Abstract
For supporting the grid computing in dynamic network environment, a multiagent model is proposed in this paper. A series of formal definitions, such as the architecture of the model, the dynamic network environment (DNE), the manage agent system, the independent computing agents (ICA) which support the traditional computing base on migration, the cooperation computing team (CCT) which supports the data parallel computing , and the relations among them are given. The dynamic learning method and the fuzzy partition technique for logical computer cluster, on which the CCT runs, are studied. The computing process is described. The experiment results show that this model resolves effectively the problems of optimization use of resources in DNE. It can be fit for grid computing.
This paper is supported by the National Nature Science Foundation of China (No.60573108) and the Nature Science Foundation of Shanghai of China (No.04ZR14100).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Markatos, E.P., Dramitions, G.: Implementation of Reliable Remote Memory Pager. In: proceedings of the 1996 Usenix technical Conference, pp. 177–190 (1996)
Acharya, A., Setia, S.: Using Idle Memory for Data-Intensive Computations. In: proceedings of the 1998 ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems, pp. 278–279 (1998)
Foster, I., Kesselman, C.: The Grid: Blueprint for Future Computing Infrastructure. Morgan Kaufmann Publishers, San Francisco, USA (1999)
Osawa, E.: A Scheme for Agent Collaboration in Open MultiAgent Environment. In: Proceeding of IJCAI 1993, pp. 352–358 (1993)
Wooldridge, M.: An Introduction to Multivalent System. John Wiley & Sons, Chichester (2002)
Rana, O.F., Walker, D.W.: The Agent Grid: Agent-based resource integration in PSEs. In: proceedings of the 16th IMACS World congress on Scientific Computing, Applied mathematics and Simulation, Lausanne, Switzerland (2000)
Kephart, J.O., Chess, D.M.: The Vision of Autonomic Computing. IEEE Computer, 41–50 (2003)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. American Elsevier Publishing Company, Amsterdam (1975)
Kaelbling, L.P., Littman, M.L., Moore.: Reinforcement learning: A survey. Journal of Artificial Intelligence Research 4(2), 237–285 (1996)
Zambonelli, F., Jennings, N.R., Wooldridge, M.: Organizational rules as abstractions for the analysis and design of multi-agent systems. International Journal of Software Engineering and Knowledge Engineering 11(3), 303–328 (2001)
Buyya, R.: High performance Cluster Computing Architectures and Systems. Prentice-Hall, Englewood Cliffs (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, Q., Na, L. (2006). Multiagent Model for Grid Computing. In: Shi, ZZ., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2006. Lecture Notes in Computer Science(), vol 4088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802372_61
Download citation
DOI: https://doi.org/10.1007/11802372_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36707-9
Online ISBN: 978-3-540-36860-1
eBook Packages: Computer ScienceComputer Science (R0)