|
LAI P, HE Q, GRUNDY J, et al. Cost-Effective App User Allocation in an Edge Computing Environment[J]. IEEE Transactions on Cloud Computing, 2022, 10(3): 1701-1713. doi: 10.1109/TCC.2020.3001570
|
|
SHARGHIVAND N, DERAKHSHAN F, MASHAYEKHY L, et al. An Edge Computing Matching Framework with Guaranteed Quality of Service[J]. IEEE Transactions on Cloud Computing, 2022, 10(3): 1557-1570. doi: 10.1109/TCC.2020.3005539
|
|
WOLF T, DEBUT L, SANH V, et al. Transformers: State-of-the-Art Natural Language Processing[C] //Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Online. Stroudsburg: ACL, 2020: 38-45.
|
|
GERLA M, LEE E K, PAU G, et al. Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds[C] //2014 IEEE World Forum on Internet of Things (WF-IoT). New York: IEEE Press, 2014: 241-246.
|
|
ZHANG Y, HE X Y, XING J, et al. Balanced Offloading of Multiple Task Types in Mobile Edge Computing[C] //2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS). New York: IEEE Press, 2023: 2746-2747.
|
|
CHEN X, JIAO L, LI W Z, et al. Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing[J]. IEEE/ACM Transactions on Networking, 2016, 24(5): 2795-2808. doi: 10.1109/TNET.2015.2487344
|
|
TALEB T, SAMDANIS K, MADA B, et al. On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration[J]. IEEE Communications Surveys & Tutorials, 2017, 19(3): 1657-1681.
|
|
DU J B, CHENG W J, LU G Y, et al. Resource Pricing and Allocation in MEC Enabled Blockchain Systems: An A3C Deep Reinforcement Learning Approach[J]. IEEE Transactions on Network Science and Engineering, 2022, 9(1): 33-44. doi: 10.1109/TNSE.2021.3068340
|
|
ZHANG K, CAO J Y, LENG S P, et al. Mining Task Offloading in Mobile Edge Computing Empowered Blockchain[C] //2019 IEEE International Conference on Smart Internet of Things (SmartIoT). New York: IEEE Press, 2019: 234-239.
|
|
SCHMEIDLER D. Subjective Probability and Expected Utility without Additivity[J]. Econometrica, 1989, 57(3): 571. doi: 10.2307/1911053
|
|
DONG S, TANG J X, ABBAS K, et al. Task Offloading Strategies for Mobile Edge Computing: A Survey[J]. Computer Networks, 2024, 254: 110791. doi: 10.1016/j.comnet.2024.110791
|
|
ISLAM A, DEBNATH A, GHOSE M, et al. A Survey on Task Offloading in Multi-Access Edge Computing[J]. Journal of Systems Architecture, 2021, 118: 102225. doi: 10.1016/j.sysarc.2021.102225
|
|
BEHERA S R, PANIGRAHI N, BHOI S K, et al. A Distributed Fuzzy Optimal Decision Making Strategy for Task Offloading in Edge Computing Environment[J]. IEEE Access, 2023, 11: 33189-33204. doi: 10.1109/ACCESS.2023.3262611
|
|
LV Z H, QIAO L. Optimization of Collaborative Resource Allocation for Mobile Edge Computing[J]. Computer Communications, 2020, 161: 19-27. doi: 10.1016/j.comcom.2020.07.022
|
|
FENG C, HAN P C, ZHANG X, et al. Computation Offloading in Mobile Edge Computing Networks: A Survey[J]. Journal of Network and Computer Applications, 2022, 202: 103366. doi: 10.1016/j.jnca.2022.103366
|
|
YANG J M, SHAH A A, PEZAROS D. A Survey of Energy Optimization Approaches for Computational Task Offloading and Resource Allocation in MEC Networks[J]. Electronics, 2023, 12(17): 3548. doi: 10.3390/electronics12173548
|
|
EBRAHIM M A, EBRAHIM G A, MOHAMED H K, et al. A Deep Learning Approach for Task Offloading in Multi-UAV Aided Mobile Edge Computing[J]. IEEE Access, 2022, 10: 101716-101731. doi: 10.1109/ACCESS.2022.3208584
|
|
CHAKRABARTI A, GUÉRIN R, LU C Y, et al. Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints[C] //2021 IEEE/ACM Symposium on Edge Computing (SEC). New York: IEEE Press, 2021: 41-54.
|
|
李强, 仪晋辉, 杜婷婷, 等. 移动边缘计算中基于A3C的依赖任务卸载与资源分配[J]. 计算机工程, 2023, 49(6): 42-52.
|
|
TANG M, WONG V W S. Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems[J]. IEEE Transactions on Mobile Computing, 2022, 21(6): 1985-1997. doi: 10.1109/TMC.2020.3036871
|
|
任潇扬, 于秀兰. Stackelberg博弈的MEC资源分配策略[J]. 重庆邮电大学学报(自然科学版), 2024, 36(3): 469-477.
|
|
杨金松, 孙三山, 刘莉, 等. MEC架构下基于DDPG的车联网任务卸载和资源分配[J]. 重庆邮电大学学报(自然科学版), 2024, 36(2): 259-267.
|
|
TANG C G, YAN G, WU H M, et al. Computation Offloading and Resource Allocation in Failure-Aware Vehicular Edge Computing[J]. IEEE Transactions on Consumer Electronics, 2024, 70(1): 1877-1888. doi: 10.1109/TCE.2023.3342017
|
|
KAHNEMAN D, TVERSKY A. Prospect Theory: An Analysis of Decision under Risk[M] // MACLEAN L C, ZIEMBA W T. Handbook of the Fundamentals of Financial Decision Making: Part Ⅰ. Hackensack: World Scientific Publishing, 2013: 99-127.
|
|
3GPP. Technical Specification Group Services and System Aspects[EB/OL]. (2020-11-23)[2025-01-01]. https://www.thescte.eu/broadband/vol42_no4_ZXZX/73/.
|
|
ZENG S, HUANG Y, LIU X. Privacy-Preserving Communication for Vanets with Conditionally Anonymous Ring Signature[J]. International Journal of Network Security, 2015, 17(2): 135-141.
|
|
PERAHIA E, COX D C. Shadow Fading Correlation between Uplink and Downlink[C] //IEEE VTS 53rd Vehicular Technology Conference. New York: IEEE Press, 2002: 308-312.
|