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Optimal Resource Control of Multi-Processor Multi-Radio Nodes Using Semi-Markov Decision Processes

机译:基于半马尔可夫决策过程的多处理器多无线电节点的最优资源控制

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An optimal resource control mechanism for a multiprocessor, multi-radio node architecture is proposed. To achieve our objective, a constrained semi-Markov decision problem is formulated, which not only provides optimal resource control but also meets quality of service demands imposed by application. For each sensed event, the desired energy efficiency and performance tradeoff is achieved by the optimal stochastic policy, which selects an appropriate set of processors and radios. The proposed solution is assessed using the reported energy consumption measurements for the existing platforms. Performance evaluation results point towards the importance of proper pairing of processor and radio in achieving the energy efficiency and performance tradeoff. The proposed solution can also be employed for hand held devices equipped with multiple processors and radios.
机译:提出了一种用于多处理器,多无线电节点架构的最优资源控制机制。为了达到我们的目的,提出了一个约束半马尔可夫决策问题,该问题不仅提供了最佳的资源控制,而且满足了应用程序提出的服务质量要求。对于每个感测到的事件,通过最佳随机策略可以实现所需的能效和性能折衷,该策略选择一组合适的处理器和无线电。使用报告的现有平台能耗测量评估提出的解决方案。性能评估结果表明,在实现能源效率和性能折衷方面,处理器和无线电的正确配对非常重要。所提出的解决方案也可以用于配备有多个处理器和无线电的手持设备。

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