KLUSÁČEK, Dalibor, Václav CHLUMSKÝ and Hana RUDOVÁ. Planning and optimization in TORQUE resource manager. Online. In Proceedings of the 24th ACM International Symposium on High Performance Distributed Computing. New York, NY, USA: ACM, 2015, p. 203-206. ISBN 978-1-4503-3550-8. Available from: https://dx.doi.org/10.1145/2749246.2749266.
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Basic information
Original name Planning and optimization in TORQUE resource manager
Authors KLUSÁČEK, Dalibor (203 Czech Republic, belonging to the institution), Václav CHLUMSKÝ (203 Czech Republic) and Hana RUDOVÁ (203 Czech Republic, guarantor, belonging to the institution).
Edition New York, NY, USA, Proceedings of the 24th ACM International Symposium on High Performance Distributed Computing, p. 203-206, 4 pp. 2015.
Publisher ACM
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/15:00081129
Organization unit Faculty of Informatics
ISBN 978-1-4503-3550-8
Doi http://dx.doi.org/10.1145/2749246.2749266
Keywords in English Scheduler; Planning; Optimization; Metaheuristic
Tags International impact, Reviewed
Changed by Changed by: RNDr. Dalibor Klusáček, Ph.D., učo 50752. Changed: 21/4/2016 15:55.
Abstract
We presents a unique advanced job scheduler for the widely used TORQUE Resource Manager. Unlike common schedulers that are using queuing approach and heuristics, our solution uses planning (job schedule construction) and schedule optimization by a local search-inspired metaheuristic, achieving better predictability, performance and fairness with respect to common queue-based approaches. The suitability and good performance of our solution is demonstrated both by “synthetic” experiments as well as by our real-life performance results that are coming from the deployment of our scheduler in the production infrastructure of the Czech Centre for Education, Reasearch and Innovation in ICT (CERIT Scientific Cloud).
Links
GAP202/12/0306, research and development projectName: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů (Acronym: Dyschnet)
Investor: Czech Science Foundation
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