车辆边缘计算环境下的计算卸载算法研究

Sarah Talal, Walid M. Yousef, Belal A. Al-fuhaidi
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引用次数: 6

摘要

车辆边缘计算(VEC)是一种很有前途的范例,它在卸载的帮助下接近车辆附近的云服务。数据和任务卸载帮助车辆克服了有限的资源,因为这些车辆的应用程序是延迟敏感和资源限制。车辆网络的过度动态性是自动驾驶车辆任务卸载面临的主要挑战。网络拓扑结构的不断变化导致无线通信信道的断开,这给寻找最优的卸载方案增加了额外的负担。许多研究考虑了VEC环境中的移动性、低延迟和资源利用率问题。本文对VEC环境中部署的各种卸载方案进行了研究,并提出了一种新的卸载方法分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation Offloading Algorithms In Vehicular Edge Computing Environment: A Survey
Vehicular Edge Computing (VEC) is a promising paradigm that approximates cloud services near vehicles with the assistance of offloading. Data and task offloading have aided vehicles to overcome their limited resources since those vehicles' applications are delay-sensitive and resource restrictions. The excessive dynamic nature of vehicular networks is the main challenge of task offloading in VEC. The constant changing of the network topology disconnects the wireless communication channels hence, putting an extra burden on exploring an optimal offloading scheme. Many studies consider the mobility issue, low latency, and resource utilization in the VEC environment. In this paper, a variety of offloading schemes deployed in the VEC environment is examined in the current state of the art, with a new taxonomy of offloading approaches proposed.
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