Citation: | Lun TANG, Xiaoyu HE, Xiao WANG, Qi TAN, Yanjuan HU, Qianbin CHEN. Resource allocation Algorithm of Service Function Chain Based on Asynchronous Advantage Actor-Critic Learning[J]. Journal of Electronics & Information Technology, 2021, 43(6): 1733-1741. doi: 10.11999/JEIT200287 |
[1] |
OTOKURA M, LEIBNITZ K, KOIZUMI Y, et al. Evolvable virtual network function placement method: Mechanism and performance evaluation[J]. IEEE Transactions on Network and Service Management, 2019, 16(1): 27–40. doi: 10.1109/TNSM.2018.2890273
|
[2] |
CABALLERO P, BANCHS A, DE VECIANA G, et al. Network slicing games: Enabling customization in multi-tenant mobile networks[J]. IEEE/ACM Transactions on Networking, 2019, 27(2): 662–675. doi: 10.1109/TNET.2019.2895378
|
[3] |
ALQERM I and SHIHADA B. Sophisticated online learning scheme for green resource allocation in 5G heterogeneous cloud radio access networks[J]. IEEE Transactions on Mobile Computing, 2018, 17(10): 2423–2437. doi: 10.1109/TMC.2018.2797166
|
[4] |
DEMIR M S, SAIT S M, and UYSAL M. Unified resource allocation and mobility management technique using particle swarm optimization for VLC networks[J]. IEEE Photonics Journal, 2018, 10(6): 7908809. doi: 10.1109/JPHOT.2018.2864139
|
[5] |
DASTGHEIB M A, BEYRANVAND H, SALEHI J A, et al. Mobility-aware resource allocation in VLC networks using T-step look-ahead policy[J]. Journal of Lightwave Technology, 2018, 36(23): 5358–5370. doi: 10.1109/JLT.2018.2872869
|
[6] |
唐伦, 周钰, 谭颀, 等. 基于强化学习的5G网络切片虚拟网络功能迁移算法[J]. 电子与信息学报, 2020, 42(3): 669–677. doi: 10.11999/JEIT190290
TANG Lun, ZHOU Yu, TAN Qi, et al. Virtual network function migration algorithm based on reinforcement learning for 5G network slicing[J]. Journal of Electronics &Information Technology, 2020, 42(3): 669–677. doi: 10.11999/JEIT190290
|
[7] |
SHARMA P K, CHEN M Y, and PARK J H. A software defined fog node based distributed blockchain cloud architecture for IoT[J]. IEEE Access, 2017, 6: 115–124. doi: 10.1109/ACCESS.2017.2757955
|
[8] |
XIE Lixia, DING Ying, YANG Hongyu, et al. Blockchain-based secure and trustworthy Internet of Things in SDN-enabled 5G-VANETs[J]. IEEE Access, 2019, 7: 56656–56666. doi: 10.1109/ACCESS.2019.2913682
|
[9] |
SUN Yao, FENG Gang, QIN Shuang, et al. The SMART handoff policy for millimeter wave heterogeneous cellular networks[J]. IEEE Transactions on Mobile Computing, 2018, 17(6): 1456–1468. doi: 10.1109/TMC.2017.2762668
|
[10] |
LI Junling, SHI Weisen, ZHANG Ning, et al. Reinforcement learning based VNF scheduling with end-to-end delay guarantee[C]. 2019 IEEE/CIC International Conference on Communications in China (ICCC), Changchun, China, 2019: 572–577. doi: 10.1109/ICCChina.2019.8855889.
|
[11] |
LI Guanglei, ZHOU Huachun, FENG Bohao, et al. Efficient provision of service function chains in overlay networks using reinforcement learning[J]. IEEE Transactions on Cloud Computing, To be pulished. doi: 10.1109/TCC.2019.2961093
|
[12] |
GRONDMAN I, BUSONIU L, LOPES G A D, et al. A survey of actor-critic reinforcement learning: Standard and natural policy gradients[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
|
[13] |
朱立, 俞欢, 詹士潇, 等. 高性能联盟区块链技术研究[J]. 软件学报, 2019, 30(6): 1577–1593. doi: 10.13328/j.cnki.jos.005737
ZHU Li, YU Huan, ZHAN Shixiao, et al. Research on high-performance consortium blockchain technology[J]. Journal of Software, 2019, 30(6): 1577–1593. doi: 10.13328/j.cnki.jos.005737
|
[14] |
KIAYIAS A, RUSSELL A, DAVID B, et al. Ouroboros: A provably secure proof-of-stake blockchain protocol[C]. The 37th Annual International Cryptology Conference, Santa Barbara, USA, 2017: 357–388. doi: 10.1007/978-3-319-63688-7_12.
|
[15] |
YAO Yingying, CHANG Xiaolin, MIŠIĆ J, et al. BLA: Blockchain-assisted lightweight anonymous authentication for distributed vehicular fog services[J]. IEEE Internet of Things Journal, 2019, 6(2): 3775–3784. doi: 10.1109/JIOT.2019.2892009
|
[16] |
CHEN Zhonglin, CHEN Shanzhi, XU Hui, et al. A security authentication scheme of 5G ultra-dense network based on block chain[J]. IEEE Access, 2018, 6: 55372–55379. doi: 10.1109/ACCESS.2018.2871642
|
[17] |
HE Li and HOU Zhixin. An improvement of consensus fault tolerant algorithm applied to alliance chain[C]. The IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC), Beijing, China, 2019: 1–4. doi: 10.1109/ICEIEC.2019.8784495.
|
[18] |
GUO Shaoyong, DAI Yao, XU Siya, et al. Trusted cloud-edge network resource management: DRL-driven service function chain orchestration for IoT[J]. IEEE Internet of Things Journal, 2020, 7(7): 6010–6022. doi: 10.1109/JIOT.2019.2951593
|
[19] |
WEI Qinglai, WANG Lingxiao, LIU Yu, et al. Optimal elevator group control via deep asynchronous actor-critic learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5245–5256. doi: 10.1109/TNNLS.2020.2965208
|
[20] |
戴鹏. 基于实用拜占庭共识算法(PBFT)的区块链模型的评估与改进[D]. [硕士论文], 北京邮电大学, 2019.
DAI Peng. Evalution and research of blockchain model based on practical byzantine consensus algorithm (PBFT)[D]. [Master dissertation], Beijing University of Posts and Telecommunications, 2019.
|