How to Leverage Mobile Vehicles to Balance the Workload in Multi-Access Edge Computing Systems
How to Leverage Mobile Vehicles to Balance the Workload in Multi-Access Edge Computing Systems
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DOI：
10.1109/tvt.2021.3119189
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发表时间：
2021-11
影响因子：
6.8
通讯作者：
Yiqin Deng;Zhigang Chen;Xianhao Chen;Xiaoheng Deng;Yuguang Fang
中科院分区：
文献类型：
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作者：
Yiqin Deng;Zhigang Chen;Xianhao Chen;Xiaoheng Deng;Yuguang Fang
在这篇通信中，我们研究了一种新型的车载多路访问边缘计算(MEC)系统的联合中继和服务器选择问题，其中道路上的车辆以存储-结转的方式将数据从终端设备转发到适当的MEC服务器进行计算。为了利用MEC服务器上任务到达、车辆可用性和资源可用性的随机性，我们设计了一种基于马尔可夫决策过程的平均任务延迟最小化的中继方案。我们的研究表明，我们提出的方案在平衡通信和计算方面非常有效，同时最小化了任务完成的端到端延迟。
In this correspondence, we investigate the joint relay and server selection problem for a novel vehicle-assisted multi-access edge computing (MEC) system, where vehicles on the road relay data from an end device to appropriate MEC servers for computing in a store-carry-forward manner. To harness the stochastic nature of task arrivals, vehicle availability, and resource availability at MEC servers, we design a relaying scheme to minimize the average task latency based on a Markov decision process. Our study shows that our proposed scheme is highly effective in balancing the communications and computing while minimizing the end-to-end latency for task completion.