Randomized distributed online algorithms against adaptive offline adversaries

In the sequential setting, a decades-old fundamental result in online algorithms states that if there is a c-competitive randomized online algorithm against an adaptive, offline adversary, then there is a c-competitive deterministic algorithm. The adaptive, offline adversary is the strongest adversa...

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Vydané v:Information processing letters Ročník 161; s. 105973
Hlavní autori: Boyar, Joan, Ellen, Faith, Larsen, Kim S.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.09.2020
Predmet:
Adaptive offline adversary
Distributed systems
Online algorithms
Randomized algorithms
Online algorithms
Randomized algorithms
Distributed systems
Adaptive offline adversary
ISSN:0020-0190, 1872-6119
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Shrnutí:In the sequential setting, a decades-old fundamental result in online algorithms states that if there is a c-competitive randomized online algorithm against an adaptive, offline adversary, then there is a c-competitive deterministic algorithm. The adaptive, offline adversary is the strongest adversary among the ones usually considered, so the result states that if one has to be competitive against such a strong adversary, then randomization does not help. This implies that researchers do not consider randomization against an adaptive, offline adversary. We prove that in a distributed setting, this result does not necessarily hold, so randomization against an adaptive, offline adversary becomes interesting again. •A fundamental online algorithms result does not hold in a distributed setting.•Randomized distributed online against adaptive offline can beat deterministic.•Reviving randomized online against adaptive offline in distributed settings.
ISSN:0020-0190
1872-6119
DOI:10.1016/j.ipl.2020.105973