Pytos: A Framework for Mobile Computation Offloading in Python

Enrique Arturo Soto Mendoza, Arlindo Flavio Da Conceicao, Alvaro Henry Mamani Aliaga, Dario Vieira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Cloud-based offloading may improve mobile application performance and reduce energy consumption by migrating mobile code execution to the cloud. Nevertheless, it is not always the best bet, because of the high WAN delay. This article presents Pytos, a framework for Python, that allows code migration to the network edge (cloudlet), mitigating latency limitations. Pytos provides a transparent offloading mechanism to end users, hence the system discovers available cloudlets in the network automatically. To developers, Pytos provides a simple programming model at method-level granularity. Empirical evaluation showed that Pytos may improve performance and energy consumption up to 20 times.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015
EditorsKokou Yetongnon, Albert Dipanda, Richard Chbeir
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages262-269
Number of pages8
ISBN (Electronic)9781467397216
DOIs
StatePublished - 5 Feb 2016
Externally publishedYes
Event11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 - Bangkok, Thailand
Duration: 23 Nov 201527 Nov 2015

Publication series

NameProceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015

Conference

Conference11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015
Country/TerritoryThailand
CityBangkok
Period23/11/1527/11/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • cloudlet
  • computation offloading
  • framework
  • mobile cloud
  • Python

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