Nonclairvoyant Speed Scaling for Flow and Energy

Nonclairvoyant Speed Scaling for Flow and Energy
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流量和能量的非透视速度缩放

DOI:
10.1007/s00453-010-9420-2
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发表时间:
2009
期刊:
影响因子:
1.1
通讯作者:
K. Pruhs
K. Pruhs
中科院分区:
计算机科学4区
文献类型:
--
作者:
H. Chan;J. Edmonds;T. Lam;Lap;A. Marchetti;K. Pruhs

文献摘要

被引文献

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我们给出了三个与在线非行列速度缩放有关的结果,以最大程度地减少总流动时间加能量。更确切地说,对于α= 3,竞争比为8,$ \ frac {2 \ alpha^{2}} {\ ln \ alpha} $forα> 3。没有恒定的c,没有确定性的非行列算法,因此对于p(s)=sα的每个功率函数都是c竞争激烈的我们表明,有一个固定的,非常钢制的功能,没有非透明算法可以是o(1)竞争。
We give three results related to online nonclairvoyant speed scaling to minimize total flow time plus energy. We give a nonclairvoyant algorithm LAPS, and show that for every power function of the form P(s)=sα, LAPS is O(1)-competitive; more precisely, the competitive ratio is 8 for α=2, 13 for α=3, and $\frac{2\alpha^{2}}{\ln\alpha}$ for α>3. We then show that there is no constant c, and no deterministic nonclairvoyant algorithm A, such that A is c-competitive for every power function of the form P(s)=sα. So necessarily the achievable competitive ratio increases as the steepness of the power function increases. Finally we show that there is a fixed, very steep, power function for which no nonclairvoyant algorithm can be O(1)-competitive.