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Scalability Metrics and Analysis of Mobile Agent Systems

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Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems (AGENTS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1887))

Abstract

Scalability is a many-sided property which can be captured in a scalability metric that balances cost, volume, timeliness and other attirbutes of value in the system, as a function of its size. Studies of typical metrics can reveal which parts of the agent infrastructure are most critical for scalability. Simple metrics are investigated for systems dominated by agent behaviour. As a system is scaled up, the length of the average tour increases and this has a major effect on performance and scalability limits. Senstivity experiments show that infrastructure improvements can improve scalability but they will not alter the general conclusions.

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Author information

Authors and Affiliations

  1. Dept. of Systems and Computer Engineering, Carleton University, Ottawa, K1S 5B6, Canada

    Murray Woodside

Authors
  1. Murray Woodside
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Maine, 228 Neville Hall, Orono, ME, 04469-5752, USA

    Tom Wagner

  2. Department of Computer Science, Cardiff University, Queen’s Building, Newport Road, Cardiff, CF24 3XF, Wales, UK

    Omer F. Rana

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© 2001 Springer-Verlag Berlin Heidelberg

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Woodside, M. (2001). Scalability Metrics and Analysis of Mobile Agent Systems. In: Wagner, T., Rana, O.F. (eds) Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. AGENTS 2000. Lecture Notes in Computer Science(), vol 1887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47772-1_24

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  • DOI: https://doi.org/10.1007/3-540-47772-1_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42315-7

  • Online ISBN: 978-3-540-47772-3

  • eBook Packages: Springer Book Archive

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