Online scheduling of equal-length jobs: Randomization and restarts help
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985840%3A_____%2F07%3A00096123" target="_blank" >RIV/67985840:_____/07:00096123 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Online scheduling of equal-length jobs: Randomization and restarts help
Original language description
We consider the following scheduling problem. The input 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. We give two online algorithms with competitive ratios below $2$ and show several lower bounds on the competitive ratios.
Czech name
Online rozvrhování úloh stejné délky: Náhodnost a restarty pomáhají
Czech description
Článek studuje online rozvrhování stejně dlouhých úloh s restarty a použitím pravděpodobnostních algoritmů.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Siam Journal on Computing
ISSN
0097-5397
e-ISSN
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Volume of the periodical
36
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
1709-1728
UT code for WoS article
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EID of the result in the Scopus database
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