A History-Based Resource Manager for Genome Analysis Workflows Applications on Clusters with Heterogeneous Nodes

Bioinformatics workflows require large amounts of resources and are commonly executed in clusters. Determining the adequate amount of resources for bioinformatics applications is a tricky matter, since the resource usage of a single application might vary substantially from one execution to the next...

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Veröffentlicht in:	International journal of parallel programming Jg. 47; H. 2; S. 317 - 342
Hauptverfasser:	Badosa, Ferran, Espinosa, Antonio, Acevedo, Cesar, Vera, Gonzalo, Ripoll, Ana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2019 Springer Nature B.V
Schlagworte:	Algorithms Bioinformatics Clusters Computer Science Management systems Multiprogramming Nodes Performance enhancement Processor Architectures Resource management Resource scheduling Servers Software Engineering/Programming and Operating Systems Theory of Computation Workflow Resource manager Resource sharing Makespan Bioinformatics workflows Multivariate regression prediction Slowdown Scheduling algorithm
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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