2014
The Performance of the Czech National Grid Infrastructure after Major Reconfiguration of Job Scheduling System
KLUSÁČEK, Dalibor a Šimon TÓTHZákladní údaje
Originální název
The Performance of the Czech National Grid Infrastructure after Major Reconfiguration of Job Scheduling System
Autoři
KLUSÁČEK, Dalibor (203 Česká republika, domácí) a Šimon TÓTH (203 Česká republika, garant, domácí)
Vydání
Karków, Poland, Cracow Grid Workshop 2014, od s. 65-66, 2 s. 2014
Nakladatel
Academic Computer Centre CYFRONET AGH
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Polsko
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Kód RIV
RIV/00216224:14330/14:00073986
Organizační jednotka
Fakulta informatiky
ISBN
978-83-61433-10-1
Klíčová slova anglicky
queue reconfiguration; multi-resource fairness; plan-based scheduling
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 27. 4. 2015 13:16, RNDr. Dalibor Klusáček, Ph.D.
Anotace
V originále
This work describes the outcomes of a large reconfiguration of the job scheduling system used in the Czech National Grid MetaCentrum which has been done in January and July 2014. MetaCentrum serves to various users and research groups. It is very important to guarantee that computational resources are used efficiently and in a fair fashion with respect to different users. With the significant growth of MetaCentrum (1,500 CPU cores in 2009 vs. 10,000 CPU cores in 2014) we recently had to revise our scheduling approaches to better reflect the increased size of the system and the growing heterogeneity of hardware resources and users' workloads. This revision took place in three major steps through the year 2014. First of all, new multi-resource aware fair-sharing algorithm was deployed, in order to improve fairness with respect to growing heterogeneity of resources and users demands. Second, large queue reconfiguration was done, in order to decrease resource fragmentation and improve utilization. Finally, new plan-based job scheduler enabling schedule optimization has been deployed in July 2014, currently managing 5 large computer clusters with 4500 CPU cores.
Návaznosti
GAP202/12/0306, projekt VaV |
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MUNI/A/0855/2013, interní kód MU |
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