[1] |
CICSO. Cisco Annual Internet Report (2018-2023)White Paper[EB/OL]. (2020-03-10)[2023-05-10]. https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/ann
|
|
ual-internet-report/white-paper-c11-741490.html.
|
[2] |
仇韫琦,王元卓,白龙,等. 面向知识库问答的问句语义解析研究综述[J]. 电子学报,202250(9):2242-2264.
|
[3] |
王春鹏,张清华,马宾,等. 多视角彩色图像的十六元数分数阶切比雪夫-傅里叶矩[J]. 计算机学报,202346(2):400-421.
|
[4] |
徐凯,李国荣,洪德祥,等. 结合在线归纳和直推推理的快速视频目标分割方法[J]. 计算机学报,2022,45(10):2117-2132.
|
[5] |
LUH D B, LI E C, DAI C C. Game factors influencing players to continue playing online pets[J]. IEEE Transactions on Computational Intelligence and AI in Games, 2016,9(3):267-276.
|
[6] |
JAIN A, SINGHAL P. Fog computing: Driving force behind the emergence of edge computing[C]// International Conference on System Modeling & Advancement in Research Trends (SMART). 2016:294-297.
|
[7] |
MAO Y Y, YOU C S, ZHANG J, et al. A survey on mobile edge computing: The communication perspective[J]. IEEE Communications Surveys & Tutorials, 2017,19(4):2322-2358.
|
[8] |
张祥俊,伍卫国,张弛,等. 面向移动边缘计算网络的高能效计算卸载算法[J]. 软件学报,2023,34(2):849-867.
|
[9] |
彭青蓝,夏云霓,郑万波,等. 一种去中心化的在线边缘任务调度与资源分配方法[J]. 计算机学报,2022,45(7):1462-1477.
|
[10] |
ABBAS N, ZHANG Y, TAHERKORDI A, et al. Mobile edge computing: A survey[J]. IEEE Internet of Things Journal, 2017,5(1):450-465.
|
[11] |
钱亚冠,马骏,何念念,等. 面向边缘智能的两阶段对抗知识迁移方法[J]. 软件学报,2022,33(12):4504-4516.
|
[12] |
HU G S, JIA Y J, CHEN Z C. Multi-user computation offloading with D2D for mobile edge computing[C]// IEEE Global Communications Conference. 2018:1301-1306.
|
[13] |
KAI C H, ZHOU H, YI Y B, et al. Collaborative cloud-edge-end task offloading in mobile-edge computing networks with limited communication capability[J]. IEEE Transactions on Cognitive Communications and Networking, 2020,7(2):624-634.
|
[14] |
SADIKU M N O, MUSA S M, MOMOH O D. Cloud computing: opportunities and challenges[J]. IEEE Potentials, 2014,33(1):34-36.
|
[15] |
BOZORGCHENANI A, MASHHADI F, TARCHI D, et al. Multi-objective computation sharing in energy and delay constrained mobile edge computing environments[J]. IEEE Transactions on Mobile Computing, 2020,20(10):2992-3005.
|
[16] |
YANG S S, ZHANG Z H, ZHAO C, et al. CNNPC: End-edge-cloud collaborative CNN inference with joint model partition and compression[J]. IEEE Transactions on Parallel and Distributed Systems, 2022,33(12):4039-4056.
|
[17] |
HUANG P Q, WANG Y, WANG K Z, et al. A bilevel optimization approach for joint offloading decision and resource allocation in cooperative mobile edge computing[J]. IEEE transactions on cybernetics, 2019,50(10):4228-4241.
|
[18] |
YANG L, CAO J N, CHENG H, et al. Multi-user computation partitioning for latency sensitive mobile cloud applications[J]. IEEE Transactions on Computers, 2014,64(8):
|
|
2253-2266.
|
[19] |
TANG M, WONG V W S. Deep reinforcement learning for task offloading in mobile edge computing systems[J]. IEEE Transactions on Mobile Computing, 2020,21(6):1985-1997.
|
[20] |
YANG L C, ZHANG H L, LI X, et al. A distributed computation offloading strategy in small-cell networks integrated with mobile edge computing[J]. IEEE/ACM Transactions on Networking, 2018,26(6):2762-2773.
|
[21] |
CHEN C, LI H, LI H, et al. Efficiency and fairness oriented dynamic task offloading in Internet of vehicles[J]. IEEE Transactions on Green Communications and Networking, 2022,6(3):1481-1493.
|
[22] |
KO H, PACK S. Distributed device-to-device offloading system: Design and performance optimization[J]. IEEE Transactions on Mobile Computing, 2020,20(10):2949-2960.
|
[23] |
LI Y Z, QI F, WANG Z L, et al. Distributed edge computing offloading algorithm based on deep reinforcement learning[J]. IEEE Access, 2020,8(2):85204-85215.
|
[24] |
NING Z L, ZHANG K Y, WANG X J, et al. Intelligent edge computing in internet of vehicles: A joint computation offloading and caching solution[J]. IEEE Transactions on Intelligent Transportation Systems, 2020,22(4):2212-2225.
|
[25] |
YANG X T, YU X Y, HUANG H, et al. Energy efficiency based joint computation offloading and resource allocation in multi-access MEC systems[J]. IEEE Access, 2019,7(6):117054-117062.
|
[26] |
YUAN H T, ZHOU M C. Profit-maximized collaborative computation offloading and resource allocation in distributed cloud and edge computing systems[J]. IEEE Transactions on Automation Science and Engineering, 2020,18(3):1277-1287.
|
[27] |
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.
|
[28] |
WU H M, WOLTER K, JIAO P F, et al. EEDTO: An energy-efficient dynamic task offloading algorithm for blockchain-enabled IoT-edge-cloud orchestrated computing[J]. IEEE Internet of Things Journal, 2020,8(4):2163-2176.
|
[29] |
PU L J, CHEN X, XU J D, et al. D2D fogging: An energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration[J]. IEEE Journal on Selected Areas in Communications, 2016,34(12):3887-3901.
|
[30] |
NIMGAONKAR S, GOMATHISANKARAN M, MOHANTY
|
|
S P. TSV: A novel energy efficient memory integrity verification scheme for embedded systems[J]. Journal of Systems Architecture, 2013,59(7):400-411.
|
[31] |
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.
|
[32] |
CHEN X. Decentralized computation offloading game for mobile cloud computing[J]. IEEE Transactions on Parallel and Distributed Systems, 2014,26(4):974-983.
|
[33] |
LIU M Y, LIU Y. Price-based distributed offloading for mobile-edge computing with computation capacity constraints[J]. IEEE Wireless Communications Letters, 2017,7(3):420-423.
|
[34] |
WANG K Z, YANG K, MAGURAWALAGE C S. Joint energy minimization and resource allocation in C-RAN with mobile cloud[J]. IEEE Transactions on Cloud Computing, 2016,6(3):760-770.
|