首页> 外文会议>IEEE Congress on Evolutionary Computation;CEC '09 >Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocations
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Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocations

机译:演化市场代理商和异构服务提供商:实现所需的资源分配

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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.
机译:在未来基于服务的大规模分布式计算系统中,资源将跨越许多位置,组织和平台。在这样的系统中,以可伸缩和健壮的方式以期望的配置分配资源的能力将至关重要。我们在考虑到异构提供者的基础上,采用了以前的基于市场的进化方法来实现分散系统中的资源分配。在这种情况下,可以说提供者对他们的资源有不同的重视。我们演示了在给定这种估值的情况下如何预测结果分配。此外,我们描述了如何使用该方法来实现我们选择的稳定,不均衡的负载平衡。我们分析系统的预期行为,并在仿真中验证我们的预测。我们的方法是完全分散的;系统的任何部分都不比其他任何方面都弱。假定节点之间不合作;只依靠个人利益。由于不需要修改购买者,因此对用户透明地实现了特定的期望分配。

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