Open Access
MATEC Web Conf.
Volume 309, 2020
2019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
Article Number 03026
Number of page(s) 7
Section Smart Algorithms and Recognition
Published online 04 March 2020
  1. Roman R, Lopez J, Mambo M. Mobile edge computing, fog et al.: A survey and analysis of security threats and challenges[J]. Future Generation Computer Systems, 2018, 78: 680–698. [CrossRef] [Google Scholar]
  2. Li H, Ota K, Dong M. Learning IoT in edge: Deep learning for the Internet of Things with edge computing[J]. IEEE Network, 2018, 32(1): 96–101. [CrossRef] [Google Scholar]
  3. Chen M, Hao Y. Task offloading for mobile edge computing in software defined ultra- dense network[J]. IEEE Journal on Selected Areas in Communications, 2018, 36(3): 587–597. [CrossRef] [Google Scholar]
  4. Tran T X, Pompili D. Joint task offloading and resource allocation for multi-server mobile-edge computing networks[J]. IEEE Transactions on Vehicular Technology, 2018, 68(1): 856–868. [Google Scholar]
  5. Haifeng Lu, Chunhua Gu, Fei Luo, Weichao Ding, Xinping Liu, Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning,Future Generation Computer Systems, 2019 [Google Scholar]
  6. Lyu X, Tian H, Ni W, et al. Energy-efficient admission of delay-sensitive tasks for mobile edge computing[J]. IEEE Transactions on Communications, 2018, 66(6): 2603–2616. [CrossRef] [Google Scholar]
  7. Bi S, Zhang Y J. Computation rate maximization for wireless powered mobile-edge computing with binary computation offloading[J]. IEEE Transactions on Wireless Communications, 2018, 17(6): 4177–4190. [CrossRef] [Google Scholar]
  8. Yang C, Liu Y, Chen X, et al. Efficient mobility-aware task offloading for vehicular edge computing networks[J]. IEEE Access, 2019, 7: 26652–26664. [CrossRef] [Google Scholar]
  9. Gupta H, Vahid Dastjerdi A, Ghosh S K, et al. iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments[J]. Software: Practice and Experience, 2017, 47(9): 1275–1296. [CrossRef] [Google Scholar]

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