Title :
Optimal power-down strategies
Author :
Augustine, John ; Irani, Sandy ; Swamy, Chaitanya
Author_Institution :
Sch. of Inf. & Comput. Sci., California Univ., Irvine, CA, USA
Abstract :
We consider the problem of selecting threshold times to transition a device to low-power sleep states during an idle period. The two-state case in which there is a single active and a single sleep state is a continuous version of the ski-rental problem. We consider a generalized version in which there is more than one sleep state, each with its own power consumption rate and transition costs. We give an algorithm that, given a system, produces a deterministic strategy whose competitive ratio is arbitrarily close to optimal. We also give an algorithm to produce the optimal online strategy given a system and a probability distribution that generates the length of the idle period. We also give a simple algorithm that achieves a competitive ratio of 3 + 2√2 ≈ 5.828 for any system.
Keywords :
competitive algorithms; computational complexity; energy conservation; power consumption; probability; low-power sleep states; optimal power-down strategies; power consumption rate; probability distribution; Application software; Clocks; Computer applications; Computer science; Costs; Energy consumption; IP networks; Probability distribution; Sleep; Yarn;
Conference_Titel :
Foundations of Computer Science, 2004. Proceedings. 45th Annual IEEE Symposium on
Print_ISBN :
0-7695-2228-9
DOI :
10.1109/FOCS.2004.50