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Journal of Grid Computing
Article . 2017 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
https://doi.org/10.1109/ccgrid...
Article . 2016 . Peer-reviewed
Data sources: Crossref
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COMPSs-Mobile: Parallel Programming for Mobile-Cloud Computing

Authors: Lordan Gomis, Francesc-Josep; Badia Sala, Rosa Maria;

COMPSs-Mobile: Parallel Programming for Mobile-Cloud Computing

Abstract

The advent of the Cloud and the popularization of mobile devices have led us to a shift in computing access where users have an interactive display, and heavy computations run remotely, in the Cloud servers. COMPSs-Mobile is a framework that aims to ease the development of energy-efficient and high-performing applications for this kind of environment. The framework provides an infrastructure-unaware programming model that allows developers to code regular Android applications whose computation is transparently parallelized and partially offloaded to remote resources. This paper gives an overview of the programming model and describes the internal components of the toolkit which supports it focusing on the offloading and checkpointing mechanisms. It also presents the results of some tests conducted to evaluate the behavior of the solution and to measure the potential benefits in Android applications. This work has been supported by the Spanish Goverment (contracts TIN2012-34557, TIN2015-65316-P and grants BES-2013-067167 of the Research Training Program and SEV-2011-00067 of Severo Ochoa Program), by Generalitat de Catalunya (contract 2014-SGR-1051) and by the European Commission (ASCETiC project, FP7-ICT-2013.1.2 contract 610874). Peer Reviewed

Keywords

COMPSs-Mobile, Computació en núvol, mobile computing, computing users, Distributed hash table, internal toolkit components, mobile devices, Android (operating system), Android, checkpointing mechanisms, Cloud computing, remote resources, offloading mechanisms, :Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC], computing access, high-performing applications, mobile-cloud computing, Parallel processing (Electronic computers), parallel programming, mobile handsets, energy-efficient applications, Offloading, Processament en paral·lel (Ordinadors), Parallel programming model, cloud computing, checkpointing, Checkpointing, Mobile cloud computing, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, Android applications, infrastructureunaware programming model

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selected citations
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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).
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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.
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