MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications

Dawand Jalil Sulaiman, Adam David Barker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
1 Downloads (Pure)

Abstract

This paper presents MAMoC, a framework which brings together a diverse range of infrastructure types including mobile devices, cloudlets, and remote cloud resources under one unified API. MAMoC allows mobile applications to leverage the power of multiple offloading destinations. MAMoC's intelligent offloading decision engine adapts to the contextual changes in this heterogeneous environment, in order to reduce the overall runtime for both single-site and multi-site offloading scenarios. MAMoC is evaluated through a set of offloading experiments, which evaluate the performance of our offloading decision engine. The results show that offloading computation using our framework can reduce the overall task completion time for both single-site and multi-site offloading scenarios.
Original languageEnglish
Title of host publicationProceedings 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017)
PublisherIEEE
Pages17-24
Number of pages8
ISBN (Electronic)9781538606926
DOIs
Publication statusPublished - 11 Dec 2017
Event9th IEEE International Conference on Cloud Computing Technology and Science - The Hong Kong Polytechnic University, Hong Kong, China
Duration: 11 Dec 201714 Dec 2017
Conference number: 9
http://2017.cloudcom.org

Conference

Conference9th IEEE International Conference on Cloud Computing Technology and Science
Abbreviated titleCloudCom 2017
Country/TerritoryChina
CityHong Kong
Period11/12/1714/12/17
Internet address

Keywords

  • Mobile Clouds
  • Task offloading
  • Multisite offloading

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