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https://doi.org/10.1109/pdp.20...
Article . 2017 . Peer-reviewed
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Transparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar

Authors: Anton, Victor; Ramón Cortés, Cristian; Ejarque, Jorge; Badia Sala, Rosa Maria;

Transparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar

Abstract

This paper presents a framework to easily build and execute parallel applications in container-based distributed computing platforms in a user transparent way. The proposed framework is a combination of the COMP Superscalar and Docker. We have built a prototype in order to evaluate how it performs by evaluating the overhead in the building, deployment and execution phases. We have observed an important gain compared with cloud environments during the building and deployment phases. In contrast, we have detected an extra overhead during the execution, which is mainly due to the multi-host Docker networking. This work is partly supported by the Spanish Government through contracts SEV-2015-0493, TIN2015-65316-P, by the Generalitat de Catalunya under contracts 2014-SGR-1051 and 2014-SGR-1272, and by the European Union under grants 676556 (MuG Project) and 690116 (EUBra-BIGSEA Project). Results presented in this paper were obtained using the Chameleon testbed supported by the NSF. Peer Reviewed

Keywords

Linux Containers, :Enginyeria elèctrica [Àrees temàtiques de la UPC], Linux device drivers (Programes d'ordinador), Àrees temàtiques de la UPC::Enginyeria elèctrica, Processament en paral·lel (Ordinadors), Parallel programming (Computer science), Cloud Computing, Parallel Programming Models, Distributed Systems, Linux programming series

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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2
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