Evolutionary market agents and heterogeneous service providers: achieving desired resource allocations

Peter R. Lewis, Paul Marrow, Xin Yao

Research output: Chapter in Book/Published conference outputConference publication


In future massively distributed service-based computational systems, resources will span many locations, organisations and platforms. In such systems, the ability to allocate resources in a desired configuration, in a scalable and robust manner, will be essential.We build upon a previous evolutionary market-based approach to achieving resource allocation in decentralised systems, by considering heterogeneous providers. In such scenarios, providers may be said to value their resources differently. We demonstrate how, given such valuations, the outcome allocation may be predicted. Furthermore, we describe how the approach may be used to achieve a stable, uneven load-balance of our choosing. We analyse the system's expected behaviour, and validate our predictions in simulation. Our approach is fully decentralised; no part of the system is weaker than any other. No cooperation between nodes is assumed; only self-interest is relied upon. A particular desired allocation is achieved transparently to users, as no modification to the buyers is required.

Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Number of pages7
ISBN (Electronic)978-1-4244-2959-2
ISBN (Print)978-1-4244-2958-5
Publication statusPublished - 2009
Event2009 IEEE Congress on Evolutionary Computation - Trondheim, Norway
Duration: 18 May 200921 May 2009


Congress2009 IEEE Congress on Evolutionary Computation
Abbreviated titleCEC 2009


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