KLUSÁČEK, Dalibor, Šimon TÓTH and Gabriela PODOLNÍKOVÁ. Real-life Experience with Major Reconfiguration of Job Scheduling System. In Walfredo Cirne and Narayan Desai. 20th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2016. Cham, Switzerland: Springer, 2017, p. 83-101. ISBN 978-3-319-61755-8. Available from: https://dx.doi.org/10.1007/978-3-319-61756-5_5.
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Basic information
Original name Real-life Experience with Major Reconfiguration of Job Scheduling System
Authors KLUSÁČEK, Dalibor (203 Czech Republic, belonging to the institution), Šimon TÓTH (203 Czech Republic, guarantor, belonging to the institution) and Gabriela PODOLNÍKOVÁ (203 Czech Republic, belonging to the institution).
Edition Cham, Switzerland, 20th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2016, p. 83-101, 19 pp. 2017.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/17:00094513
Organization unit Faculty of Informatics
ISBN 978-3-319-61755-8
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-61756-5_5
UT WoS 000441213000005
Keywords in English Scheduling; Fairness; Queue; Workload; Heterogeneity
Tags firank_A
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 13/5/2020 19:18.
Abstract
This work describes the goals and impacts of a large reconfiguration of the job scheduling system, used in the Czech National Grid and Cloud infrastructure MetaCentrum, which was implemented in early 2014. MetaCentrum serves a varied user-base consisting of both individual users and research groups. This imposes strict requirements on the robustness of job scheduling algorithms being employed, as the system must be capable of assigning a highly heterogeneous set of workloads to a similarly heterogeneous set of computational resources. Primary goals for MetaCentrum were always to provide efficient and fair resource utilization with respect to different users in the system. During the last few years, MetaCentrum has gone through a period of rapid growth (1,500 CPU cores in 2009 vs. 10,600 CPU cores in 2014) forcing us to re-evaluate our scheduling approaches, as the ``old" configuration no longer satisfied our utilization and fairness demands. This re-evaluation was supported by a significant body of research, which included the proposal of new scheduling approaches as well as detailed simulations based on real-life complex workload traces. First, a new multi-resource aware fair-sharing algorithm (based on our recent research) was deployed, with the goal of improving fairness with respect to the growing heterogeneity of resources and users' workloads. Second, the queue configuration of the entire system was completely reworked in order to decrease resource fragmentation and improve the utilization and the impact of fairness policies. This paper summarizes the effects of these changes using real data from the production system. Moreover, we publish complex workload from MetaCentrum that was used in this paper, since it represents a valuable source of data concerning a highly heterogeneous production system. Last but not least, we present our advanced job scheduling simulator which is routinely used for testing of new scheduling strategies prior their deployment in the real system.
Links
GAP202/12/0306, research and development projectName: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů (Acronym: Dyschnet)
Investor: Czech Science Foundation
MUNI/A/1159/2014, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.
Investor: Masaryk University, Category A
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