Collaborative Computation Offloading for Multiaccess Edge Computing Over Fiber-Wireless Networks

被引:346
作者
Guo, Hongzhi [1 ]
Liu, Jiajia [1 ]
机构
[1] Xidian Univ, Sch Cyber Engn, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Mobile-edge computing; multi-access edge computing; MEC; computation offloading; collaborative computation offloading; fiber-wireless; FiWi; RESOURCE-ALLOCATION; ACCESS NETWORKS; QOS;
D O I
10.1109/TVT.2018.2790421
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
By offloading the computation tasks of the mobile devices (MDs) to the edge server, mobile-edge computing (MEC) provides a new paradigm to meet the increasing computation demands from mobile applications. However, existing mobile-edge computation offloading (MECO) research only took the resource allocation between the MDs and the MEC servers into consideration, and ignored the huge computation resources in the centralized cloud computing center. Moreover, current MEC hosted networks mostly adopt the networking technology integrating cellular and backbone networks, which have the shortcomings of single access mode, high congestion, high latency, and high energy consumption. Toward this end, we introduce hybrid fiber-wireless (FiWi) networks to provide supports for the coexistence of centralized cloud and multiaccess edge computing, and present an architecture by adopting the FiWi access networks. The problem of cloud-MEC collaborative computation offloading is studied, and two schemes are proposed as our solutions, i.e., an approximation collaborative computation offloading scheme, and a game-theoretic collaborative computation offloading scheme. Numerical results corroborate that our solutions not only achieve better offloading performance than the available MECO schemes but also scale well with the increasing number of computation tasks.
引用
收藏
页码:4514 / 4526
页数:13
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