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MAMoC: Multisite Adaptive Offloading Framework for Mobile Cloud\n Applications

2017/11/15 by Dawand Sulaiman, Adam Barker, Sulaiman, Dawand +1
Computer Science · #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.1711.05518

openalex publication_date 2017/11/15 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28

Abstract

This paper presents MAMoC, a framework which brings together a diverse range\nof infrastructure types including mobile devices, cloudlets, and remote cloud\nresources under one unified API. MAMoC allows mobile applications to leverage\nthe power of multiple offloading destinations. MAMoC's intelligent offloading\ndecision engine adapts to the contextual changes in this heterogeneous\nenvironment, in order to reduce the overall runtime for both single-site and\nmulti-site offloading scenarios. MAMoC is evaluated through a set of offloading\nexperiments, which evaluate the performance of our offloading decision engine.\nThe results show that offloading computation using our framework can reduce the\noverall task completion time for both single-site and multi-site offloading\nscenarios.\n

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