Autonomic resource contention‐aware scheduling. (5th September 2013)

• Record Type: Journal Article
• Authors: Sheikhalishahi, Mehdi; Grandinetti, Lucio; Wallace, Richard M.; Vazquez‐Poletti, Jose Luis
• Is Part Of: Software, practice & experience. Volume 45:Number 2(2015)
• Page Start: 161
• Page End: 175
• Publication Date: 2013-09-05
• Subjects: Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2223
• Languages: English
• ISSNs: 0038-0644

Abstract

<abstract abstract-type="main" id="spe2223-abs-0001"> <title>SUMMARY</title> <p id="spe2223-para-0001">The complexity of computing systems introduces a few issues and challenges such as poor performance and high energy consumption. In this paper, we first define and model resource contention metric for high performance computing workloads as a performance metric in scheduling algorithms and systems at the highest level of resource management stack to address the main issues in computing systems. Second, we propose a novel autonomic resource contention‐aware scheduling approach architected on various layers of the resource management stack. We establish the relationship between distributed resource management layers in order to optimize resource contention metric. The simulation results confirm the novelty of our approach.Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract>