Detailed Information on Publication Record
2007
Local Search for Deadline Driven Grid Scheduling
KLUSÁČEK, Dalibor, Luděk MATYSKA and Hana RUDOVÁBasic information
Original name
Local Search for Deadline Driven Grid Scheduling
Name in Czech
Lokální prohledávání pro gridové plánování s termíny dokončení
Authors
KLUSÁČEK, Dalibor (203 Czech Republic), Luděk MATYSKA (203 Czech Republic) and Hana RUDOVÁ (203 Czech Republic, guarantor)
Edition
1. vydání. Brno, Third Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS 2007), p. 74-81, 8 pp. 2007
Publisher
Ing. Zdeněk Novotný CSc., Ondráčkova 105, 628 00 Brno
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14330/07:00020506
Organization unit
Faculty of Informatics
ISBN
978-80-7355-077-6
Keywords in English
plánování; Grid; simulátor; lokální prohledávání; Tabu prohledávání
Tags
International impact, Reviewed
Změněno: 27/6/2008 11:15, doc. Mgr. Hana Rudová, Ph.D.
V originále
This work describes application of local search based algorithms for job scheduling in the Grid environment where dynamic changes occur. The primary intent is to consider problems with the typical quality of service constraint taking into account and minimizing the number of late jobs. To achieve this goal a~special instance of the Tabu search algorithm applicable to dynamic problems is proposed. Also a new dispatching rule generating the initial solution is introduced. Comparison with typical queue-based policies such as First Come First Served, Earliest Deadline First or Easy Backfilling is provided. Experimental results shows that local search based algorithms is a promising technique with better performance than queue-based algorithms while still fast enough to provide solutions in a reasonable time.
In Czech
Práce prezentuje aplikaci lokálního prohledávání na plánování v Gridovém prostředí. Hlavním cílem práce je orientace na problémy s QoS požadavky tak, aby byl minimalizován počet opožděných úloh.
Links
GA201/07/0205, research and development project |
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MSM0021622419, plan (intention) |
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