Computer Science – Data Structures and Algorithms
Scientific paper
2009-02-07
26th International Symposium on Theoretical Aspects of Computer Science STACS 2009 (2009) 255-264
Computer Science
Data Structures and Algorithms
Scientific paper
We study online nonclairvoyant speed scaling to minimize total flow time plus energy. We first consider the traditional model where the power function is P (s) = s\^\propto. We give a nonclairvoyant algorithm that is shown to be O(\propto\^3)-competitive. We then show an \Omega(\propto\^(1/3-\epsilon)) lower bound on the competitive ratio of any nonclairvoyant algorithm. We also show that there are power functions for which no nonclairvoyant algorithm can be O(1)-competitive.
Chan Ho-Leung
Edmonds Jeff
Lam Tak-Wah
Lee Lap-Kei
Marchetti-Spaccamela Alberto
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