计算机科学
服务器
移动边缘计算
计算卸载
移动设备
延迟(音频)
边缘计算
分布式计算
能源消耗
移动计算
依赖关系(UML)
GSM演进的增强数据速率
边缘设备
计算机网络
高效能源利用
云计算
操作系统
电信
人工智能
生物
工程类
电气工程
生态学
作者
Qi Wu,Long Chen,Xiaoxia Huang
标识
DOI:10.1109/msn53354.2021.00061
摘要
Mobile edge computing offers a new paradigm to provide more convenient computing services for mobile devices. However, the mobility of devices and the limited coverage of edge servers bring considerable challenges to efficient computation offloading. Moreover, tasks with temporal dependency further complicate the offloading problem in the mobile edge network. In this paper, we take into account the mobility of devices and the fine-grained tasks generated by the mobile device to make full use of the computing resources of devices and edge servers. Considering the temporal dependency among tasks, the offloading problem is formulated as a mixed integer programming which achieves the tradeoff between time latency and energy consumption. Simulation results demonstrate that our proposed algorithm can achieve a significant improvement in terms of energy efficiency and latency compared with other bench mark algorithms.
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