2017
Real-life Experience with Major Reconfiguration of Job Scheduling System
KLUSÁČEK, Dalibor; Šimon TÓTH a Gabriela PODOLNÍKOVÁZákladní údaje
Originální název
Real-life Experience with Major Reconfiguration of Job Scheduling System
Autoři
KLUSÁČEK, Dalibor; Šimon TÓTH a Gabriela PODOLNÍKOVÁ
Vydání
Cham, Switzerland, 20th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2016, od s. 83-101, 19 s. 2017
Nakladatel
Springer
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Odkazy
Impakt faktor
Impact factor: 0.402 v roce 2005
Kód RIV
RIV/00216224:14330/17:00094513
Organizační jednotka
Fakulta informatiky
ISBN
978-3-319-61755-8
ISSN
UT WoS
000441213000005
EID Scopus
2-s2.0-85029436587
Klíčová slova anglicky
Scheduling; Fairness; Queue; Workload; Heterogeneity
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 13. 5. 2020 19:18, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
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.
Návaznosti
| GAP202/12/0306, projekt VaV |
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| MUNI/A/1159/2014, interní kód MU |
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