Treffer: Online Scheduling of equal-length jobs: Randomization and restarts help

Title:
Online Scheduling of equal-length jobs: Randomization and restarts help
Source:
Automata, languages and programming (Turku, 12-16 July 2004)Lecture notes in computer science. :358-370
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 15 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, University of California, Riverside, CA 92521, United States
Mathematical Institute, AS CR, Žitná 25, 11567 Praha, Czech Republic
ISSN:
0302-9743
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16126742
Database:
PASCAL Archive

Weitere Informationen

The input of the studied scheduling problem is a set of jobs with equal processing times, where each job is specified by its release time and deadline. The goal is to determine a single-processor, non-preemptive schedule that maximizes the number of completed jobs. In the online version, each job arrives at its release time. First, we give a barely random 5/3-competitive algorithm that uses only one random bit; we also show a lower bound of 3/2 for barely random algorithms that choose one of two deterministic algorithms. Second, we give a deterministic 3/2-competitive algorithm in the model that allows restarts, and we show that in this model the ratio 3/2 is optimal.