D 2015

Planning and optimization in TORQUE resource manager

KLUSÁČEK, Dalibor, Václav CHLUMSKÝ and Hana RUDOVÁ

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14330/15:00081129

Organization unit

Faculty of Informatics

ISBN

978-1-4503-3550-8

Keywords in English

Scheduler; Planning; Optimization; Metaheuristic

Tags

International impact, Reviewed
Změněno: 21/4/2016 15:55, RNDr. Dalibor Klusáček, Ph.D.

Abstract

V originále

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 project
Name: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů (Acronym: Dyschnet)
Investor: Czech Science Foundation