计算机科学
移动边缘计算
延迟(音频)
隐藏物
云计算
分布式计算
计算卸载
计算
资源配置
服务器
计算机网络
移动设备
计算复杂性理论
数学优化
边缘计算
算法
操作系统
电信
数学
作者
Jiao Zhang,Xiping Hu,Zhaolong Ning,Edith C.-H. Ngai,Li Zhou,Jibo Wei,Jun Cheng,Bin Hu,Victor C. M. Leung
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2019-06-01
卷期号:6 (3): 4283-4294
被引量:129
标识
DOI:10.1109/jiot.2018.2875917
摘要
Mobile edge computing (MEC) has risen as a promising paradigm to provide high quality of experience via relocating the cloud server in close proximity to smart mobile devices (SMDs). In MEC networks, the MEC server with computation capability and storage resource can jointly execute the latency-sensitive offloading tasks and cache the contents requested by SMDs. In order to minimize the total latency consumption of the computation tasks, we jointly consider computation offloading, content caching, and resource allocation as an integrated model, which is formulated as a mixed integer nonlinear programming (MINLP) problem. We design an asymmetric search tree and improve the branch and bound method to obtain a set of accurate decisions and resource allocation strategies. Furthermore, we introduce the auxiliary variables to reformulate the proposed model and apply the modified generalized benders decomposition method to solve the MINLP problem in polynomial computation complexity time. Simulation results demonstrate the superiority of the proposed schemes.
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