2017
DOI: 10.1177/1094342017704979
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Resilient co-scheduling of malleable applications

Abstract: Recently, the benefits of co-scheduling several applications have been demonstrated in a fault-free context, both in terms of performance and energy savings. However, large-scale computer systems are confronted by frequent failures, and resilience techniques must be employed for large applications to execute efficiently. Indeed, failures may create severe imbalance between applications, and significantly degrade performance. In this paper, we aim at minimizing the expected completion time of a set of co-schedu… Show more

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Cited by 4 publications
(3 citation statements)
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“…• ∀i, (w i,j ) j is non-decreasing in j (when using more processors, there is more overhead due to the parallelization, which is a common assumption [9,8]).…”
Section: Tasksmentioning
confidence: 99%
“…• ∀i, (w i,j ) j is non-decreasing in j (when using more processors, there is more overhead due to the parallelization, which is a common assumption [9,8]).…”
Section: Tasksmentioning
confidence: 99%
“…• ∀i, (w i,j ) j is non-decreasing in j (when using more processors, there is more overhead due to the parallelization, which is a common assumption [8,7]).…”
Section: Tasksmentioning
confidence: 99%
“…Iserte et al (2017) integrate the Nanos++ runtime with Slurm RMS for increasing the system throughput via a better resource utilization. Benoit et al (2018) introduce a model for scheduling malleable applications on a failureprone platform. The novelty of this work is to consider the effect of failures in the applications on the scheduling policy.…”
Section: Resource-aware Job Schedulingmentioning
confidence: 99%