分布式边缘计算中移动性感知的最优任务卸载

Youbin Jeon, Hosung Baek, Sangheon Pack
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引用次数: 6

摘要

为了应对移动设备有限的能力,分布式边缘计算(DEC)环境中的任务卸载被认为是一个很有前途的解决方案。然而,设备的移动性使得任务卸载成为一个更具挑战性的问题。在本文中,我们研究了移动感知在DEC环境下的最优任务卸载。为此,我们制定了一个优化问题,以最小化卸载任务的响应时间。仿真结果表明,与无机动性感知的传统任务卸载方案相比,机动性感知任务卸载方案的响应时间缩短了14% ~ 21%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobility-Aware Optimal Task Offloading in Distributed Edge Computing
To cope with limited capabilities of mobile devices, task offloading in distributed edge computing (DEC) environments is perceived as a promising solution. However, the mobility of devices makes the task offloading a more challenging issue. In this paper, we investigate mobility-awareness for optimal task offloading in DEC environments. To this end, we formulate an optimization problem to minimize the response time of offloaded tasks. Simulation results demonstrate that the mobility-aware task offloading scheme can reduce the response time by 14% $\sim 21$% compared with the conventional task offloading schemes without any mobility-awareness.
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