1 |
K. Qu, W. Zhuang, Q. Ye, X. Shen, X. Li, and J. Rao, "Dynamic Flow Migration for Embedded Services in SDN/NFV-Enabled 5G Core Networks," IEEE Transactions on Communications, vol. 68, no. 4, pp. 2394-2408, Apr. 2020.
DOI
|
2 |
S. Math, P. Tam, A. Lee, and S. Kim, "A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing," Persnal Ubiquitos Computing, 2020.
|
3 |
Z. Zaidi, V. Friderikos, Z. Yousaf, S. Fletcher, M. Dohler, and H. Aghvami, "Will SDN Be Part of 5G?," IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp. 3220-3258, 2018.
DOI
|
4 |
T. Das, V. Sridharan, and M. Gurusamy, "A Survey on Controller Placement in SDN," IEEE Communications Surveys & Tutorials, vol. 22, no. 1, pp. 472-503, 2020.
DOI
|
5 |
Y. Zhao, Y. Li, X. Zhang, G. Geng, W. Zhang, and Y. Sun, "A Survey of Networking Applications Applying the Software Defined Networking Concept Based on Machine Learning," IEEE Access, vol. 7, pp. 95397-95417, 2019.
DOI
|
6 |
D. Kim and S. Kim, "Gateway Channel Hopping to Improve Transmission Efficiency in Long-range IoT Networks," KSII Transactions on Internet and Information Systems, vol. 13, no. 3, pp. 1599-1610, 2019.
DOI
|
7 |
R. K. Das, N. Ahmed, F. H. Pohrmen, A. K. Maji, and G. Saha, "6LE-SDN: An Edge-Based Software-Defined Network for Internet of Things," IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7725-7733, Aug. 2020.
DOI
|
8 |
H. Alshaer and H. Haas, "Software-Defined Networking-Enabled Heterogeneous Wireless Networks and Applications Convergence," IEEE Access, vol. 8, pp. 66672-66692, 2020.
DOI
|
9 |
J. Navarro-Ortiz, P. Romero-Diaz, S. Sendra, P. Ameigeiras, J. J. Ramos-Munoz, and J. M. Lopez-Soler, "A Survey on 5G Usage Scenarios and Traffic Models," IEEE Communications Surveys & Tutorials, vol. 22, no. 2, pp. 905-929, 2020.
DOI
|
10 |
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, "Edge Computing: Vision and Challenges," IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637-646, Oct. 2016.
DOI
|
11 |
X. Li, D. Li, J. Wan, C. Liu, and M. Imran, "Adaptive Transmission Optimization in SDN-Based Industrial Internet of Things With Edge Computing," IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1351-1360, June 2018.
DOI
|
12 |
E. Kim and S. Kim, "An Efficient Software Defined Data Transmission Scheme based on Mobile Edge Computing for the Massive IoT Environment," KSII Transactions on Internet and Information Systems, vol. 12, no. 2, pp. 974-987, 2018.
DOI
|
13 |
J. Yao, T. Han, and N. Ansari, "On Mobile Edge Caching," IEEE Communications Surveys & Tutorials, vol. 21, no. 3, pp. 2525-2553, 2019.
DOI
|
14 |
M. G. Kibria, K. Nguyen, G. P. Villardi, O. Zhao, K. Ishizu, and F. Kojima, "Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks," IEEE Access, vol. 6, pp. 32328-32338, 2018.
DOI
|
15 |
J. Lei, Y. Wang, and Y. Xia, "SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs," Wireless Communications and Mobile Computing, vol. 2019, 2019.
|
16 |
S. K. Singh and A. Jukan, "Machine-learning-based prediction for resource (Re)allocation in optical data center networks," IEEE/OSA Journal of Optical Communications and Networking, vol. 10, no. 10, pp. D12-D28, Oct. 2018.
DOI
|
17 |
S. Math, L. Zhang, S. Kim, and I. Ryoo, "An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment," Security and Communication Networks, vol. 2020, 2020.
|
18 |
C. Ren, S. Wang, J. Ren, and X. Wang, "Traffic Engineering and Manageability for Multicast Traffic in Hybrid SDN," KSII Transactions on Internet and Information Systems, vol. 12, no. 6, pp. 2492-2512, 2018.
DOI
|
19 |
S. Deng, H. Zhao, W. Fang, J. Yin, S. Dustdar, and A. Y. Zomaya, "Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence," IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7457-7469, Aug. 2020.
DOI
|
20 |
X. Wang, Y. Han, C. Wang, Q. Zhao, X. Chen, and M. Chen, "In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning," IEEE Network, vol. 33, no. 5, pp. 156-165, 2019.
DOI
|
21 |
F. Guo, H. Zhang, H. Ji, X. Li, and V. C. M. Leung, "An Efficient Computation Offloading Management Scheme in the Densely Deployed Small Cell Networks With Mobile Edge Computing," IEEE/ACM Transactions on Networking, vol. 26, no. 6, pp. 2651-2664, Dec. 2018.
DOI
|
22 |
Z. Xu, W. Liang, M. Huang, M. Jia, S. Guo, and A. Galis, "Efficient NFV-Enabled Multicasting in SDNs," IEEE Transactions on Communications, vol. 67, no. 3, pp. 2052-2070, Mar. 2019.
DOI
|
23 |
S. Bera, S. Misra, and N. Saha, "Traffic-Aware Dynamic Controller Assignment in SDN," IEEE Transactions on Communications, vol. 68, no. 7, pp. 4375-4382, July 2020.
DOI
|
24 |
M. Wang, Y. Cui, X. Wang, S. Xiao, and J. Jiang, "Machine Learning for Networking: Workflow, Advances and Opportunities," IEEE Network, vol. 32, no. 2, pp. 92-99, Apr. 2018.
DOI
|
25 |
C. Zhao, Y. Cai, A. Liu, M. Zhao, and L. Hanzo, "Mobile Edge Computing Meets mmWave Communications: Joint Beamforming and Resource Allocation for System Delay Minimization," IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp. 2382-2396, Apr. 2020.
DOI
|
26 |
Z. Shah, "Mitigating TCP Incast Issue in Cloud Data Centres using Software-Defined Networking (SDN): A Survey," KSII Transactions on Internet and Information Systems, vol. 12, no. 11, pp. 5179-5202, 2018.
DOI
|
27 |
T. K. Rodrigues, K. Suto, H. Nishiyama, J. Liu, and N. Kato, "Machine Learning Meets Computation and Communication Control in Evolving Edge and Cloud: Challenges and Future Perspective," IEEE Communications Surveys & Tutorials, vol. 22, no. 1, pp. 38-67, 2020.
DOI
|