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Memoryless Algorithms for the Generalized k-server Problem on Uniform Metrics

par Christou, Dimitris;Fotakis, Dimitris;Koumoutsos, Grigorios
Référence Lecture notes in computer science, 12806 LNCS, page (143-158)
Publication Publié, 2021

Article révisé par les pairs

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Résumé :

We consider the generalized k-server problem on uniform metrics. We study the power of memoryless algorithms and show tight bounds of Θ(k! ) on their competitive ratio. In particular we show that the Harmonic Algorithm achieves this competitive ratio and provide matching lower bounds. Combined with the ≈ 22k doubly-exponential bound of Chiplunkar and Vishwanathan for the more general setting of memoryless algorithms on uniform metrics with different weights, this shows that the problem becomes exponentially easier when all weights are equal.