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A novel application model and an offloading mechanism for efficient mobile computing

机译:高效移动计算的新型应用模型和卸载机制

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This paper presents a new application model and a novel execution path-based algorithm for offloading in Mobile Cloud Computing (MCC) environments. Application offloading is the mechanism by which parts or modules of the application are executed in cloud remote computational services. Such operation saves resources in the mobile device but also incurs costs of accessing the cloud and using the communication network connecting the mobile device and cloud. The offloading problem is to find an offloading decision that minimizes the total cost of executing the application. Previous solutions find a single offloading decision per module. However, the total cost of executing a module also depends on the sequence of module calls leading to its execution. We present a fine grained application model and a fast optimal offloading decision algorithm where multiple offloading decisions are made per module based on the execution paths leading to the module. We evaluate our solution for a face detection mobile applications in multiple network scenarios. We show that our model and algorithm offer offloading decisions that are significant faster than offloading decision by traditional offloading schemes.
机译:本文为移动云计算(MCC)环境中的卸载提供了一种新的应用程序模型和一种基于执行路径的新颖算法。应用程序卸载是一种在云远程计算服务中执行应用程序的部分或模块的机制。这样的操作节省了移动设备中的资源,但是也增加了访问云以及使用连接移动设备和云的通信网络的成本。卸载问题是找到可以最大程度地减少执行应用程序总成本的卸载决策。先前的解决方案为每个模块找到单个卸载决策。但是,执行模块的总成本还取决于导致其执行的模块调用顺序。我们提出了一种细粒度的应用程序模型和一种快速的最佳卸载决策算法,其中,基于通往模块的执行路径,每个模块都可以做出多个卸载决策。我们评估了针对多种网络场景中的面部检测移动应用程序的解决方案。我们表明,我们的模型和算法提供的卸载决策比传统卸载方案的卸载决策要快得多。

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