Balancing the costs of different objectives in EC requires comprehensive and global analysis. This article investigates the holistic EC optimization problem for IoT. First, a triple-plane EC architecture for IoT is proposed including the edge device plane, edge server plane, and cloud plane, respectively, which is conducive to collaboratively accomplishing the EC applications. Then five tensor-based representation models are constructed to represent the complex relationships and resolve the heterogeneity of different devices. Afterward, we construct a generalized and holistic EC optimization model based on the constructed tensors including energy consumption, execution time, system reliability, and quality of experience. Finally, a customized optimization framework is proposed in which the optimization objectives can be arbitrarily combined according to practical applications. A case study is conducted to evaluate the performance of the proposed scheme; results demonstrate that it significantly outperforms the state-of-the-art cloud-assisted mobile computing scheme and holistic mobile cloud computing scheme.

中文翻译：

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基于张量的物联网整体边缘计算优化框架

要平衡EC中不同目标的成本，需要进行全面的全局分析。本文研究了物联网的整体EC优化问题。首先，提出了一种用于物联网的三平面EC架构，分别包括边缘设备平面，边缘服务器平面和云平面，这有利于协同完成EC应用程序。然后构建了五个基于张量的表示模型来表示复杂的关系并解决不同设备的异质性。然后，我们基于构造的张量构建一个广义的整体EC优化模型，其中包括能耗，执行时间，系统可靠性和体验质量。最后，提出了一种定制的优化框架，可以根据实际应用任意组合优化目标。进行案例研究以评估所提议方案的性能；结果表明，它明显优于最新的云辅助移动计算方案和整体移动云计算方案。