计算机科学
移动边缘计算
计算卸载
水准点(测量)
资源配置
无线
分布式计算
隐藏物
能源消耗
计算
边缘计算
GSM演进的增强数据速率
服务器
并行计算
计算机网络
算法
操作系统
生物
电信
地理
生态学
大地测量学
作者
Zhixiong Chen,Zhaokun Zhou,Chen Chen
出处
期刊:IEEE Transactions on Network and Service Management
[Institute of Electrical and Electronics Engineers]
日期:2021-12-01
卷期号:18 (4): 4517-4530
被引量:20
标识
DOI:10.1109/tnsm.2021.3103533
摘要
Utilizing the data caching technology to reduce data transmission is a promising technique for improving the performance of mobile edge computing (MEC), because the delay and energy consumption produced by data transmission constitute the dominant cost of task execution in MEC. Besides, computation tasks generally consist of input parameters, executive codes, and computation results. The executive codes are fixed and can output difference computation results under different input parameters. Motivated by this, we consider to proactively cache executive codes of tasks at the MEC server to reduce the weighted sum of task execution delay and users’ energy consumption. Aiming at establishing optimal system design, we formulate the problem as a non-linear programming problem which involves jointly optimizing the executive code caching strategy, computation offloading decision, wireless resource allocation, and computing resource allocation. We propose to find the optimal solution by employing an alternating optimization framework. The optimal wireless resource and computing resource allocation problem are firstly addressed by utilizing convex optimization technology. Then, a dynamic programming-based algorithm has been developed to achieve the optimal executive code caching and computation offloading strategies. Extensive simulation results show that the proposed scheme operates well and can substantially reduce the system cost over other benchmark schemes.
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