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

机译:移动云计算中无缝应用执行的多目标优化模型

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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.
机译:移动云计算通过利用云服务来执行计算密集型移动应用程序。尽管可以在资源受限的智能移动设备上执行计算密集型移动应用程序的执行,但MCC中的执行无法不中断地执行。这会降低最终用户的体验,因此会降低新兴应用程序的可用性。最先进的解决方案仅专注于MCC中的移动应用程序执行,而没有合并异构环境的所有多样化功能,从而无法为最终用户无缝执行。 Seamless是指与本地应用程序执行相比,MCC中不间断的应用程序执行,而用户参与和交互最少,以提供增强的性能。在本文中,我们提出了用于移动云计算中分布式应用程序的无缝执行的多目标优化模型,该模型可根据执行成本和能耗来优化执行时间。该问题被表述为非线性整数规划。

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