A Mobile Application Offloading Algorithm for Mobile Cloud Computing

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI:10.1109/MobileCloud.2015.11

A. Ellouze, M. Gagnaire, A. Haddad

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引用次数: 26

Abstract

In mobile cloud computing, offloading mobile applications to close remote servers appears as a straightforward solution to overcome mobile terminals processor and battery limitations. Remote execution leverages the high computation capacity of the server to enrich user experience and extend battery autonomy through energy savings. However, application offloading is energy efficient only under various conditions. For that purpose, we propose an original algorithm called MAO(Mobile Application's Offloading) triggered by two conditions: The current CPU load and State of Charge (SoC) of the battery.On the basis of various traffic scenarios mixing interactive and delay tolerant mobile applications, we study through numerical simulations the efficiency of the MAO algorithm and assess its performance in terms of rejected jobs and the amount of energy savings achieved. Rejected jobs are those unable to meet user quality of experience (QoE) and/or energy efficiency requirements. Evaluations on simulated workloads show that both traffic loads and user's radio mobile environment have direct impact on the efficiency of the MAO algorithm.

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一种面向移动云计算的移动应用卸载算法

在移动云计算中，将移动应用程序卸载到关闭的远程服务器上似乎是一种克服移动终端处理器和电池限制的直接解决方案。远程执行利用服务器的高计算能力来丰富用户体验，并通过节省能源来扩展电池自主性。然而，应用程序卸载只有在各种条件下才具有能源效率。被拒绝的工作是那些不能满足用户体验质量(QoE)和/或能效要求的工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering

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