Intelligent Network

Intelligent Network

  1. H. Cao, S. Wu, Y. Hu, Y. Liu and L. Yang, "A survey of embedding algorithm for virtual network embedding," in China Communications, 2019.
  2. R. Boutaba et. al., "A Comprehensive Survey on Machine Learning for Networking: Evolution, Applications and Research Opportunities," Journal of Internet Services and Applications, 2018.
    • Refer to pages 50 to 52 in section 7.1
  3. H. Cao, H. Hu, Z. Qu and L. Yang, "Heuristic solutions of virtual network embedding: A survey," in China Communications, 2018.
  4. A. Fischer et. al., "Virtual Network Embedding: A Survey," IEEE Communications Surveys & Tutorials, 2013.
  1. S. Karmoshi, A. Hawbani, A. Ghannami, S. Mohammed and M. Zhu, "VNE-Greedy: Virtual Network Embedding Algorithm Based on OpenStack Cloud Computing Platform," 2016 6th International Conference on Digital Home (ICDH), 2016.
  2. [GRC] L. Gong, Y. Wen, Z. Zhu, and T. Lee, "Toward Profit-seeking Virtual Network Embedding Algorithm via Global Resource Capacity," IEEE INFOCOM, pp. 1–9, Apr. 2014.
  3. [NodeRank] M. Feng, L. Zhang, X. Zhu, J. Wang, Q. Qi and J. Liao, "Topology-aware virtual network embedding through the degree," National Doctoral Academic Forum on Information and Communications Technology, 2013.
  4. H. Kim and S. Lee, "Greedy virtual network embedding under an exponential cost function," The International Conference on Information Network 2012, 2012.
  5. X. Cheng, et. al., "Virtual Network Embedding Through Topology-Aware Node Ranking," ACM SIGCOMM Computer Communication Review, 2011.
  6. M. Yu, Y. Yi, J. Rexford, and M. Chiang, “Rethinking Virtual Network Embedding: Substrate Support for Path Splitting and Migration,” ACM SIGCOMM Computer Communication Review, 2008.
  1. N. Shahriar et al., “Virtual Network Survivability through Joint Spare Capacity Allocation and Embedding,” IEEE Journal on Selected Areas in Communications, 2018.
  2. [D-ViNE] [R-ViNE] M. Chowdhury, M. R. Rahman and R. Boutaba, "ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping," IEEE/ACM Transactions on Networking, 2012
  1. Khoa T. D. Nguyen, Changcheng Huang, "Distributed Parallel Genetic Algorithm for Online Virtual Network Embedding," International Journal of Communication Systems, 2020
  2. P. Zhang, Y. Hong, X. Pang and C. Jiang, "VNE-HPSO: Virtual Network Embedding Algorithm Based on Hybrid Particle Swarm Optimization," IEEE Access, 2020
  3. L. Boyang, W. Muqing and Z. Haosen, "Virtual Network Embedding Based on Hybrid Adaptive Genetic Algorithm," IEEE 5th International Conference on Computer and Communications (ICCC), 2019.
  1. [...] Y. Yuan, Z. Tian, C. Wang, F. Zheng, and Y. Lv, “A Q-learning-based Approach for Virtual Network Embedding in Data Center,” Neural Computing and Applications, 2020.
  2. [...] P. T. Anh Quang, Y. Hadjadj-Aoul and A. Outtagarts, "Evolutionary Actor-Multi-Critic Model for VNF-FG Embedding," 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), 2020.
  3. [A3C-GCN] Z. Yan, J. Ge, Y. Wu, L. Li and T. Li, "Automatic Virtual Network Embedding: A Deep Reinforcement Learning Approach With Graph Convolutional Networks," in IEEE Journal on Selected Areas in Communications, 2020.

  4.   [2019]
  5. [NVFdeep] Y. Xiao, Q. Zhang, F. Liu, J. Wang, M. Zhao, Z. Zhang, and J. Zhang, "NFVdeep: Adaptive Online Service Function Chain Deployment with Deep Reinforcement Learning," ACM Proceedings of the International Symposium on Quality of Service (IWQoS), pages 1–21, NY, USA, 2019.
  6. [...] H. Wang, Y. Wu, G. Min, J. Xu, and P. Tang, “Data-driven Dynamic Resource Scheduling for Network Slicing: A Deep Reinforcement Learning Approach,” Information Science, vol. 498, pp. 106–116, Sep. 2019.
  7. [DeepViNE] M. Dolati, S. B. Hassanpour, M. Ghaderi, and A. Khonsari, "DeepViNE: Virtual Network Embedding with Deep Reinforcement Learning," IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 879–885, IEEE, 2019.
  8. [VNE-TD] S. Wang, J. Bi, J. Wu, A. V. Vasilakos, and Q. Fan, "VNE-TD: A Virtual Network Embedding Algorithm Based on Temporal-Difference Learning,” Computer Networks, vol. 161, pp. 251–263, Oct. 2019.

  9.   [2018]
  10. [...] H. Yao, X. Chen, M. Li, P. Zhang, L. Wang, "A Novel Reinforcement Learning Algorithm for Virtual Network Embedding," Neurocomputing, 2018.
  11. [Z-TORCH] V. Sciancalepore, F. Z. Yousaf and X. Costa-Perez, "Z-TORCH: An Automated NFV Orchestration and Monitoring Solution," IEEE Transactions on Network and Service Management, 2018

  12.   [2014]
  13. [...] R. Mijumbi, J.-L. Gorricho, J. Serrat, M. Claeys, F. D. Turck, and S. Latre, "Design and Evaluation of Learning Algorithms for Dynamic Resource Management in Virtual Networks," IEEE Network Operations and Management Symposium (NOMS), pages 1-9, 2014.
  14. [...] R. Mijumbi, J.-L. Gorricho, J. Serrat, M. Claeys, J. Famaey, and F. D. Turck. "Neural Network-based Autonomous Allocation of Resources in Virtual Networks," IEEE European Conference on Networks and Communications (EuCNC), pages 1-6, 2014.

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