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Single and multiple device DSA problem, complexities and online algorithms

  • Weiwei Wu*
  • , Wanyong Tian
  • , Minming Li
  • , Chun Jason Xue
  • , Enhong Chen
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We study the single-device Dynamic Storage Allocation (DSA) problem and multi-device Balancing DSA problem in this paper. The goal is to dynamically allocate the job into memory to minimize the usage of space without concurrency. The SRF problem is just a variant of DSA problem. Our results are as follows, • The NP-completeness for 2-SRF problem, 3-DSA problem, and DSA problem for jobs with agreeable deadlines. • An improved 3-competitive algorithm for jobs with agreeable deadlines on single-device DSA problem. A 4-competitive algorithm for jobs with agreeable deadlines on multi-device Balancing DSA problem. • Lower bounds for jobs with agreeable deadlines: any non-clairvoyant algorithm cannot be (2 - ε)-competitive and any clairvoyant algorithm cannot be (1.54 - ε)-competitive. • The first O(log L)-competitive algorithm for general jobs on multi-device Balancing DSA problem without any assumption.

Original languageEnglish
Title of host publicationAlgorithms and Computation - 21st International Symposium, ISAAC 2010, Proceedings
Pages218-229
Number of pages12
EditionPART 2
DOIs
StatePublished - 2010
Externally publishedYes
Event21st Annual International Symposium on Algorithms and Computations, ISAAC 2010 - Jeju Island, Korea, Republic of
Duration: 15 Dec 201017 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6507 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st Annual International Symposium on Algorithms and Computations, ISAAC 2010
Country/TerritoryKorea, Republic of
CityJeju Island
Period15/12/1017/12/10

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