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Mobile Edge Offloading Using Markov Decision Processes

机译:使用马尔可夫决策过程卸载移动边缘

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Considering where to process data and perform computation is becoming a more difficult problem as Mobile Edge Computing (MEC) and Mobile Cloud Computing (MCC) continue to evolve. In order to balance constraints and objectives regarding items like computation time and energy consumption, computation and data should be automatically shifted between mobile devices, the edge, and the cloud. To address this issue, this study proposes a Markov Decision Process (MDP) based methodology to intelligently make such choices while optimizing multiple objectives. Results demonstrate an 17.47% or greater increase in performance.
机译:考虑到处理数据并执行计算正在成为更困难的问题,因为移动边缘计算(MEC)和移动云计算(MCC)继续发展。为了平衡关于计算时间和能量消耗等项目的限制和目标,应在移动设备,边缘和云之间自动移位计算和数据。为了解决这个问题,本研究提出了基于马尔可夫决策过程(MDP)的方法,以便在优化多个目标的同时智能地做出这些选择。结果表明性能增加17.47%或更高。

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