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Optimal Allocation Policies for Mobile Agents

Lookup NU author(s): Michael Hamilton, Emeritus Professor Isi Mitrani


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This paper examines a distributed system where users employ a mobile software agent to perform a sequence of tasks associated with different network nodes. Each operation can be carried out either locally or remotely, and may or may not involve moving the agent from one node to another; in general, all these options have different costs. The problem is to determine the optimal agent allocation policy, for a given cost structure and pattern of user demand. The methodology adopted is that of Markov Decision Processes. Two numerical approaches are presented for the general problem, and a closed-form solution is obtained in a non-trivial special case.

Publication metadata

Author(s): Hamilton MD, Mitrani I

Editor(s): Haverkort, B.R., Bohnenkamp, H.C., Smith, C.U.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 11th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools (TOOLS)

Year of Conference: 2000

Pages: 145-155

ISSN: 0302-9743 (Print) 1611-3349 (Online)

Publisher: Springer-Verlag


DOI: 10.1007/3-540-46429-8_11

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783540672609