[1] 陈昕, 温向明, 王鲁晗, 等. 5G中多接入边缘计算的联合部署架构设[J]. 北京邮电大学学报, 2018, 41(5):86-91. Chen Xin, Wen Xiangming, Wang Luhan, et al. The architecture design of cooperated deployment for multi-access edge computing in 5G[J]. Journal of Beijing University of Posts and Telecommunications, 2018, 41(5):86-91. [2] Du Jianbo, Zhao Liqiang, Feng Jie, et al. Computation offloading and resource allocation in mixed fog/cloud computing systems with min-max fairness guarantee[J]. IEEE Transactions on Communications, 2018, 66(4):1594-1608. [3] Meng Zeyu, Xu Hongli, Huang Liusheng, et al. Achieving energy efficiency through dynamic computing offloading in mobile edge-clouds[C]//2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). Chengdu:IEEE, 2018:175-183. [4] Liu Mengyu, Liu Yuan. Price-based distributed offloading for mobile-edge computing with computation capacity constraints[J]. IEEE Wireless Communications Letters, 2017, 7(3):420-423. [5] Wang Fei, Zhang Xi. Dynamic interface-selection and resource allocation over heterogeneous mobile edge-computing wireless networks with energy harvesting[C]//IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Honolulu:IEEE, 2018:190-195. [6] Mao Yuyi, Zhang Jun, Letaief K B. Dynamic computation offloading for mobile-edge computing with energy harvesting devices[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(12):3590-3605. [7] Guo Songtao, Xiao Bin, Yang Yuanyuan, et al. Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing[C]//IEEE INFOCOM 2016-the 35th Annual IEEE International Conference on Computer Communications. Tianjin:IEEE, 2016:1-9. [8] Zhao Yun, Zhou Sheng, Zhao Tianchu, et al. Energy-efficient task offloading for multiuser mobile cloud computing[C]//2015 IEEE/CIC International Conference on Communications in China (ICCC). Chongqing:IEEE, 2015:1-5. |