PittsburghV1, France, Analysis, bibRecord, 000374

Energy-aware checkpointing of divisible tasks with soft or hard deadlines

Identifieur interne : 000374 ( France/Analysis ); précédent : 000373; suivant : 000375

Energy-aware checkpointing of divisible tasks with soft or hard deadlines

Auteurs : Guillaume Aupy [France] ; Anne Benoit [France] ; Rami Melhem [États-Unis] ; Paul Renaud-Goud [France] ; Yves Robert [France]

Source :

RBID : Hal:hal-00857244

Abstract

In this paper, we aim at minimizing the energy consumption when executing a divisible workload under a bound on the total execution time, while resilience is provided through checkpointing. We discuss several variants of this multi-criteria problem. Given the workload, we need to decide how many chunks to use, what are the sizes of these chunks, and at which speed each chunk is executed. Furthermore, since a failure may occur during the execution of a chunk, we also need to decide at which speed a chunk should be re-executed in the event of a failure. The goal is to minimize the expectation of the total energy consumption, while enforcing a deadline on the execution time, that should be met either in expectation (soft deadline), or in the worst case (hard deadline). For each problem instance, we propose either an exact solution, or a function that can be optimized numerically.

Url:

https://hal.inria.fr/hal-00857244

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 000242
to stream Hal, to step Curation: 000242
to stream Hal, to step Checkpoint: 000283
to stream Main, to step Merge: 005D70
to stream Main, to step Curation: 005A32
to stream Main, to step Exploration: 005A32
to stream France, to step Extraction: 000374

Links to Exploration step

Hal:hal-00857244

Le document en format XML

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<front><div type="abstract" xml:lang="en">In this paper, we aim at minimizing the energy consumption when executing a divisible workload under a bound on the total execution time, while resilience is provided through checkpointing. We discuss several variants of this multi-criteria problem. Given the workload, we need to decide how many chunks to use, what are the sizes of these chunks, and at which speed each chunk is executed. Furthermore, since a failure may occur during the execution of a chunk, we also need to decide at which speed a chunk should be re-executed in the event of a failure. The goal is to minimize the expectation of the total energy consumption, while enforcing a deadline on the execution time, that should be met either in expectation (soft deadline), or in the worst case (hard deadline). For each problem instance, we propose either an exact solution, or a function that can be optimized numerically.</div>
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Energy-aware checkpointing of divisible tasks with soft or hard deadlines

Energy-aware checkpointing of divisible tasks with soft or hard deadlines

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