Online Interval Scheduling: Randomized and Multiprocessor Cases

Stanley P.Y. Fung, Chung Keung Poon, Feifeng Zheng

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

6 Citations (Scopus)

Abstract

We consider the problem of scheduling a set of equal-length intervals arriving online, where each interval is associated with a weight and the objective is to maximize the total weight of completed intervals. An optimal 4-competitive algorithm has long been known in the deterministic case, but the randomized case remains open. We give the first randomized algorithm for this problem, achieving a competitive ratio of 3.618. We also prove a randomized lower bound of 4/3, which is an improvement over the previous 5/4 result, and a lower bound of 2 for a class of barely random algorithms which include our new algorithm. We also show that the techniques can be carried to the deterministic multiprocessor case, giving a 3.618-competitive 2-processor algorithm, a 5/4 lower bound for any number of processors, and a 2 lower bound for 2 processors.
Original languageEnglish
Title of host publicationComputing and Combinatorics
Subtitle of host publication13th Annual International Conference, COCOON 2007, Proceedings
PublisherSpringer Verlag
Pages176-186
ISBN (Print)9783540735441, 3540735445
DOIs
Publication statusPublished - Jul 2007
Event13th Annual International Computing and Combinatorics Conference (COCOON 2007) - Banff, Canada
Duration: 16 Jul 200719 Jul 2007

Publication series

NameLecture Notes in Computer Science
Volume4598
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Annual International Computing and Combinatorics Conference (COCOON 2007)
Country/TerritoryCanada
CityBanff
Period16/07/0719/07/07

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