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KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications

KES-AMSTA 2007: Agent and Multi-Agent Systems: Technologies and Applications pp 348–357Cite as

Multi-resource Load Optimization Strategy in Agent-Based Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4496))

Abstract

Resource management is one of the key research issues for multi-agent systems. Aside from increasing the system reliability, the load balancer is also able to schedule incoming tasks to the available machines. This paper introduces a load balancing strategy algorithm which can optimize the utilization of several different resources (CPU, memory, etc.) by migrating mobile agents and their tasks to the best alternative nodes. In the course of the research, a few scenarios were simulated and analyzed. In the paper the scenarios along with initial experiment results are presented.

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Author information

Authors and Affiliations

  1. Institute of Applied Informatics, The Faculty of Computer Science and Management, Wroclaw University of Technology, Wrocław, Poland

    Leszek Śliwko & Aleksander Zgrzywa

Authors
  1. Leszek Śliwko
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  2. Aleksander Zgrzywa
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Editor information

Ngoc Thanh Nguyen Adam Grzech Robert J. Howlett Lakhmi C. Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Śliwko, L., Zgrzywa, A. (2007). Multi-resource Load Optimization Strategy in Agent-Based Systems. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2007. Lecture Notes in Computer Science(), vol 4496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72830-6_36

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  • DOI: https://doi.org/10.1007/978-3-540-72830-6_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72829-0

  • Online ISBN: 978-3-540-72830-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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