Multi-Resource Aware Fairsharing for Heterogeneous Systems

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Publikace nespadá pod Fakultu sportovních studií, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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KLUSÁČEK Dalibor RUDOVÁ Hana

Rok publikování 2015
Druh Článek ve sborníku
Konference Job Scheduling Strategies for Parallel Processing
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www http://www.cs.huji.ac.il/~feit/parsched/jsspp14
Doi http://dx.doi.org/10.1007/978-3-319-15789-4_4
Obor Informatika
Klíčová slova Multi-Resource Fairness; Fairshare; Heterogeneity
Popis Current production resource management and scheduling systems often use some mechanism to guarantee fair sharing of computational resources among different users of the system. For example, the user who so far consumed small amount of CPU time gets higher priority and vice versa. However, different users may have highly heterogeneous demands concerning system resources, including CPUs, RAM, HDD storage capacity or, e.g., GPU cores. Therefore, it may not be fair to prioritize them only with respect to the consumed CPU time. Still, applied mechanisms often do not reflect other consumed resources or they use rather simplified and "ad hoc" solutions to approach these issues. We show that such solutions may be (highly) unfair and unsuitable for heterogeneous systems. We provide a survey of existing works that try to deal with this situation, analyzing and evaluating their characteristics. Next, we present new enhanced approach that supports multi-resource aware user prioritization mechanism. Importantly, this approach is capable of dealing with the heterogeneity of both jobs and resources. A working implementation of this new prioritization scheme is currently applied in the Czech National Grid Infrastructure MetaCentrum.
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