Energy Compensated Cloud Assistance in mobile cloud computing

J. Champati, B. Liang
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引用次数: 7

Abstract

We consider the scenario where a mobile device requires assistance from nearby devices to forward its computational tasks to a cloud server. We incentivize cooperation by allowing helper devices to conserve computational energy by offloading their own tasks to the source device's cloud, as compensation for the communication energy lost during task forwarding. We formulate an optimization problem with the objective of minimizing the cloud cost incurred by the source device due to tasks offloaded from helper devices, subject to no energy loss at the helper devices. We observe that this problem cannot be solved using a standard Lyapunov optimization approach. Instead, we construct an alternate problem that follows the standard form but has the same optimal objective value as the original problem. The resultant Energy Compensated Cloud Assistance (ECCA) algorithm does not require any statistics of the system and can be implemented distributively.
移动云计算中的能量补偿云辅助
我们考虑这样一个场景:移动设备需要附近设备的帮助,才能将其计算任务转发给云服务器。我们通过允许辅助设备通过将自己的任务卸载到源设备的云来节省计算能量来激励合作,作为对任务转发过程中丢失的通信能量的补偿。我们制定了一个优化问题,其目标是最小化源设备由于从辅助设备卸载任务而产生的云成本,同时在辅助设备上没有能量损失。我们观察到这个问题不能用标准的李雅普诺夫优化方法来解决。取而代之的是,我们构造了一个替代问题,它遵循标准形式,但与原始问题具有相同的最优目标值。由此产生的能量补偿云辅助(ECCA)算法不需要系统的任何统计数据,可以分布式实现。
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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