Optimally competitive list batching

Wolfgang W. Bein, Leah Epstein, Lawrence L. Larmore, John Noga

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Batching has been studied extensively in the offline case, but many applications such as manufacturing or TCP acknowledgement require online solutions. We consider online batching problems, where the order of jobs to be batched is fixed and where we seek to minimize average flow time. We present optimally competitive algorithms for s-batch (competitive ratio 2) and p-batch problems (competitive ratio of 4). We also derive results for naturally occurring special cases. In particular, we consider the case of unit processing times.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsTorben Hagerup, Jyrki Katajainen
PublisherSpringer Verlag
Pages77-89
Number of pages13
ISBN (Electronic)3540223398, 9783540223399
DOIs
StatePublished - 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3111
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Batching
  • Design of Algorithms
  • Online Algorithms
  • TCP acknowledgement

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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