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Speed scaling with an arbitrary power function

机译:使用任意幂函数进行速度缩放

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摘要

All of the theoretical speed scaling research to date has assumed that the power function, which expresses the power consumption P as a function of the processor speed s, is of the form P = sα, where α > 1 is some constant. Motivated in part by technological advances, we initiate a study of speed scaling with arbitrary power functions. We consider the problem of minimizing the total flow plus energy. Our main result is a (3+ε)-competitive algorithm for this problem, that holds for essentially any power function. We also give a (2+ε)-competitive algorithm for the objective of fractional weighted flow plus energy. Even for power functions of the form sα, it was not previously known how to obtain competitiveness independent of α for these problems. We also introduce a model of allowable speeds that generalizes all known models in the literature.
机译:迄今为止,所有理论上的速度缩放研究都假设将表示功耗P作为处理器速度s的函数的幂函数的形式设为P =sα,其中α> 1是一个常数。由于部分技术进步,我们开始研究具有任意幂函数的速度定标。我们考虑使总流量和能量最小化的问题。我们的主要结果是针对该问题的(3 +ε)竞争算法,该算法基本上适用于任何幂函数。我们还针对分数加权流量加能量的目标给出了(2 +ε)竞争算法。即使对于形式为sα的幂函数,对于这些问题,以前也不知道如何获得独立于α的竞争力。我们还介绍了允许速度的模型,该模型概括了文献中所有已知的模型。

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