Name
Title | ||
|---|---|---|
Evolutionary market agents and heterogeneous service providers: achieving desired resource allocations |
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CEC.2009.4983041 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
expected behaviour,resource allocation,robust manner,heterogeneous provider,outcome allocation,evolutionary market agent,service-based computational system,uneven load-balance,decentralised system,heterogeneous service provider,previous evolutionary market-based approach,channel allocation,proportional control,mathematical model,evolutionary computation,scalability,control systems,load balance,distributed processing,resource management,service provider,cost accounting,distributed computing | Resource management,Mathematical optimization,Computer science,Evolutionary computation,Service provider,Risk analysis (engineering),Resource allocation,Channel allocation schemes,Cost accounting,Scalability,Distributed services,Distributed computing | Conference |
Citations | PageRank | References |
2 | 0.38 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter R. Lewis | 1 | 253 | 30.22 |
| Paul Marrow | 2 | 88 | 9.26 |
| Xin Yao | 3 | 14858 | 945.63 |