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Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications

机译:网格数据流应用中细粒度计算资源的模糊分配

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摘要

Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resourve utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. A utomatic control technology is a feasible solution, but the plant model is hard to be derived. In relation to the model free characteristic, a fuzzy logic controller is designed with several simple vet robust mles. Performance of this controller is verified to out-perform classic controllers in response rapidness and less oscillation. An empirical formula on tuning an essential parameter is obtained to achieve better performance.
机译:就虚拟机的可配置时钟速度而言,计算资源的细粒度分配对于处理效率和资源利用数据流应用程序至关重要。对于数据流应用程序,期望其处理速度尽可能接近分配的带宽。自动控制技术是一种可行的解决方案,但是很难推导工厂模型。关于无模型特性,设计了带有几个简单的兽医鲁棒的模糊控制器。经过验证,该控制器的性能在响应速度和振荡方面均优于传统控制器。获得有关调整基本参数的经验公式,以实现更好的性能。

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