Multi-objective optimization model for seamless application execution in mobile cloud computing

E. Ahmed, Suleman Khan, Ibrar Yaqoob, A. Gani, F. Salim
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引用次数: 20

Abstract

Mobile Cloud Computing enables execution of compute-intensive mobile applications by leveraging the services of the cloud. In spite of enabling compute-intensive mobile application execution on resources constrained Smart Mobile Devices, the execution in MCC is not able to carry out without disruption; which degrades the end user experience, hence, deteriorates the usability of emerging applications. The state-of-the-art solutions focus only on the mobile application execution in MCC but do not incorporate all diverse features of the heterogeneous environment to make the execution seamless for the end user. Seamless refers to uninterrupted application execution in MCC with minimal user involvement and interaction to deliver enhanced performance, compared to the local application execution. In this paper, we propose Multi-Objective Optimization model for seamless execution of distributed applications in mobile cloud computing that optimizes the execution time subject to execution cost and energy consumption. The problem is formulated as nonlinear integer programming.
移动云计算中应用无缝执行的多目标优化模型
移动云计算通过利用云服务支持执行计算密集型移动应用程序。尽管可以在资源有限的智能移动设备上执行计算密集型移动应用程序,但MCC中的执行无法不受干扰地进行;这会降低最终用户的体验,从而降低新兴应用程序的可用性。最先进的解决方案只关注移动应用程序在MCC中的执行,但没有结合异构环境的所有不同功能,从而使最终用户的执行无缝。无缝是指在MCC中不间断地执行应用程序,与本地应用程序执行相比,用户参与和交互最少,从而提供更高的性能。本文提出了移动云计算中分布式应用无缝执行的多目标优化模型,在保证执行成本和能耗的前提下优化执行时间。该问题被表述为非线性整数规划。
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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