Nash equilibrium and social optimization of a task offloading strategy with real-time virtual machine repair in an edge computing system
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-022-03603-5.pdf
Reference21 articles.
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2. Duan, Q., Wang, S., Ansari, N.: Convergence of networking and cloud/edge computing: status, challenges, and opportunities. IEEE Network 34(6), 148–155 (2020). https://doi.org/10.1109/MNET.011.2000089
3. Babou, C., Fall, D., Kashihara, S., Niang, I., Kadobayashi, Y.: Home edge computing (HEC): design of a new edge computing technology for achieving ultra-low latency. In: International Conference on Edge Computing, pp. 3–17 (2018). https://doi.org/10.1007/978-3-319-94340-4_1
4. Li, W., Jin, S.: Performance evaluation and optimization of a task offloading strategy on the mobile edge computing with edge heterogeneity. J. Supercomput. (2021). https://doi.org/10.1007/s11227-021-03781-w
5. Zaman, S., Jehangiri, A., Maqsood, T., Ahmad, Z., Umar, A., Shuja, J., Alanazi, E., Alasmary, W.: Mobility-aware computational offloading in mobile edge networks: a survey. Clust. Comput. 24(4), 2735–2756 (2021). https://doi.org/10.1007/s10586-021-03268-6
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