Evolutionary Market Agents and Heterogeneous Service Providers: Achieving Desired Resource Allocations

Peter Lewis, Paul Marrow, Xin Yao

Research output: Contribution to conference (unpublished)Paperpeer-review

1 Citation (Scopus)
181 Downloads (Pure)

Abstract

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
Pages904-910
Number of pages7
DOIs
Publication statusPublished - 18 May 2009
EventProceedings of the 2009 IEEE Congress on Evolutionary Computation 2009 (CEC 2009) -
Duration: 18 May 2009 → …

Conference

ConferenceProceedings of the 2009 IEEE Congress on Evolutionary Computation 2009 (CEC 2009)
Period18/05/09 → …

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