References
- S. C. Wang, W. S. Hsiung, K. Q. Yan, and Y. T. Tsai, "Optimal agreement achievement in a fog computing based IoT," Journal of Internet Technology, vol. 20, no. 6, pp. 1767-1779, 2019.
- C. Zhang, H. H. Cho, C. Y. Chen, T. K. Shih, and H. C. Chao, "Fuzzy-based 3-D stream traffic lightweighting over mobile P2P network," IEEE Systems Journal, vol. 14, no. 2, pp. 1840-1851, 2020. https://doi.org/10.1109/jsyst.2019.2956070
- 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, 2016. https://doi.org/10.1109/JIOT.2016.2579198
- W. Shi and S. Dustdar, "The promise of edge computing," Computer, vol. 49, no. 5, pp. 78-81, 2016. https://doi.org/10.1109/MC.2016.145
- Y. C. Hu, M. Patel, D. Sabella, N. Sprecher, and V. Young, Mobile Edge Computing: A Key Technology Towards 5G. Sophia Antipolis, France: European Telecommunications Standards Institute, 2015.
- T. H. Luan, L. Gao, Z. Li, Y. Xiang, G. Wei, and L. Sun, "Fog computing: focusing on mobile users at the edge," 2016 [Online]. Available: https://arxiv.org/abs/1502.01815.
- B. Ahlgren, C. Dannewitz, C. Imbrenda, D. Kutscher, and B. Ohlman, "A survey of information-centric networking," IEEE Communications Magazine, vol. 50, no. 7, pp. 26-36, 2012. https://doi.org/10.1109/MCOM.2012.6231276
- I. Psaras, W. K. Chai, and G. Pavlou, "Probabilistic in-network caching for information-centric networks," in Proceedings of the second edition of the ICN workshop on Information-centric networking, Helsinki, Finland, 2012, pp. 55-60.
- G. Xylomenos, C. N. Ververidis, V. A. Siris, N. Fotiou, C. Tsilopoulos, X. Vasilakos, K. V. Katsaros, and G. C. Polyzos, "A survey of information-centric networking research," IEEE Communications Surveys & Tutorials, vol. 16, no. 2, pp. 1024-1049, 2013. https://doi.org/10.1109/SURV.2013.070813.00063
- H. C. Chao, W. J. Jian, H. H. Cho, C. W. Tsai, and J. S. Pan, "Prediction-based cache adaptation for named data networking," Journal of Computers, vol. 27, no, 1, pp. 45-55, 2016.
- X. Foukas, G. Patounas, A. Elmokashfi, and M. K. Marina, "Network slicing in 5G: survey and challenges," IEEE Communications Magazine, vol. 55, no. 5, pp. 94-100, 2017. https://doi.org/10.1109/MCOM.2017.1600951
- NGMN Alliance, "Description of network slicing concept," 2016 [Online]. Available: https://www.ngmn.org/wp-content/uploads/160113_NGMN_Network_Slicing_v1_0.pdf.
- H. Zhang, N. Liu, X. Chu, K. Long, A. H. Aghvami, and V. C. M. Leung, "Network slicing based 5G and future mobile networks: mobility, resource management, and challenges," IEEE Communications Magazine, vol. 55, no. 8, pp. 138-145, 2017. https://doi.org/10.1109/MCOM.2017.1600940
- J. Ordonez-Lucena, P. Ameigeiras, D. Lopez, J. J. Ramos-Munoz, J. Lorca, and J. Folgueira, "Network slicing for 5G with SDN/NFV: concepts, architectures, and challenges," IEEE Communications Magazine, vol. 55, no. 5, pp. 80-87, 2017. https://doi.org/10.1109/MCOM.2017.1600935
- Next Generation Mobile Networks, "5G White Paper," 2015 [Online]. Available: http://ngmn.org/5g-whitepaper/5g-white-paper.html.
- 3rd Generation Partnership Project (3GPP), "Feasibility study on new services and markets technology enablers," 3GPP Organizational Partners, Technical Report TR 22.891, 2015.
- A. C. Baktir, A. Ozgovde, and C. Ersoy, "How can edge computing benefit from software-defined networking: a survey, use cases, and future directions," IEEE Communications Surveys & Tutorials, vol. 19, no. 4, pp. 2359-2391, 2017. https://doi.org/10.1109/COMST.2017.2717482
- W. C. Chien, C. F. Lai, H. H. Cho, and H. C. Chao, "A SDN-SFC-based service-oriented load balancing for the IoT applications," Journal of Network and Computer Applications, vol. 114, pp. 88-97, 2018. https://doi.org/10.1016/j.jnca.2018.04.009
- W. C. Chien, H. Y. Weng, C. F. Lai, Z. Fan, H. C. Chao, and Y. Hu, "A SFC-based access point switching mechanism for Software-Defined Wireless Network in IoV," Future Generation Computer Systems, vol. 98, pp. 577-585, 2019. https://doi.org/10.1016/j.future.2019.01.030
- S. Abdelwahab, B. Hamdaoui, M. Guizani, and T. Znati, "Network function virtualization in 5G," IEEE Communications Magazine, vol. 54, no. 4, pp. 84-91, 2016. https://doi.org/10.1109/MCOM.2016.7452271
- E. Bjornson, E. G. Larsson, and T. L. Marzetta, "Massive MIMO: ten myths and one critical question," IEEE Communications Magazine, vol. 54, no. 2, pp. 114-123, 2016. https://doi.org/10.1109/MCOM.2016.7402270
- P. Gandotra, R. Kumar Jha, and S. Jain, "A survey on device-to-device (D2D) communication: architecture and security issues," Journal of Network and Computer Applications, vol. 78, pp. 9-29, 2017. https://doi.org/10.1016/j.jnca.2016.11.002
- J. Li, H. Zhang, and M. Fan, "Digital self-interference cancellation based on independent component analysis for co-time co-frequency full-duplex communication systems," IEEE Access, vol. 5, pp. 10222-10231, 2017. https://doi.org/10.1109/ACCESS.2017.2712614
- M. Kamel, W. Hamouda, and A. Youssef, "Ultra-dense networks: a survey," IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 2522-2545, 2016. https://doi.org/10.1109/COMST.2016.2571730
- W. C. Chien, C. F. Lai, and H. C. Chao, "Dynamic resource prediction and allocation in C-RAN with edge artificial intelligence," IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4306-4314, 2019. https://doi.org/10.1109/tii.2019.2913169
- I. A. Alimi, A. L. Teixeira, and P. P. Monteiro, "Toward an efficient C-RAN optical fronthaul for the future networks: a tutorial on technologies, requirements, challenges, and solutions," IEEE Communications Surveys & Tutorials, vol. 20, no. 1, pp. 708-769, 2018. https://doi.org/10.1109/COMST.2017.2773462
- H. Ramazanali, A. Mesodiakaki, A. Vinel, and C. Verikoukis, "Survey of user association in 5G HetNets," in Proceedings of 2016 8th IEEE Latin-American Conference on Communications (LATINCOM), Medellin, Colombia, 2016, pp. 1-6.
- X. Zhang and J. Wang, "Heterogeneous QoS-driven resource allocation over MIMO-OFDMA based 5G cognitive radio networks," in Proceedings of 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, 2017, pp. 1-6.
- W. Zhang, C. X. Wang, X. Ge, and Y. Chen, "Enhanced 5G cognitive radio networks based on spectrum sharing and spectrum aggregation," IEEE Transactions on Communications, vol. 66, no. 12, pp. 6304-6316, 2018. https://doi.org/10.1109/tcomm.2018.2863385
- C. Xin, P. Paul, M. Song, and Q. Gu, "On dynamic spectrum allocation in geo-location spectrum sharing systems," IEEE Transactions on Mobile Computing, vol. 18, no. 4, pp. 923-933, 2019. https://doi.org/10.1109/tmc.2018.2848250
- W. Xu, R. Qiu, and J. Cheng, "Fair optimal resource allocation in cognitive radio networks with co-channel interference mitigation," IEEE Access, vol. 6, pp. 37418-37429, 2018. https://doi.org/10.1109/access.2018.2845460
- S. Khodadadi, D. Qiu, and Y. R. Shayan, "Performance analysis of secondary users in cognitive radio networks with dynamic spectrum allocation," IEEE Communications Letters, vol. 22, no. 8, pp. 1684-1687, 2018. https://doi.org/10.1109/lcomm.2018.2844366
- F. Li, Z. Sheng, J. Hua, and L. Wang, "Preference-based spectrum pricing in dynamic spectrum access networks," IEEE Transactions on Services Computing, vol. 11, no. 6, pp. 922-935, 2018. https://doi.org/10.1109/TSC.2016.2589249
- X. Wang, S. Ekin, and E. Serpedin, "Joint spectrum sensing and resource allocation in multi-band-multi-user cognitive radio networks," IEEE Transactions on Communications, vol. 66, no. 8, pp. 3281-3293, 2018. https://doi.org/10.1109/tcomm.2018.2807432
- W. Lee, "Resource allocation for multi-channel underlay cognitive radio network based on deep neural network," IEEE Communications Letters, vol. 22, no, 9, pp. 1942-1945, 2018. https://doi.org/10.1109/LCOMM.2018.2859392
- Z. Jian, W. Muqing, and Z. Min, "Joint computation offloading and resource allocation in C-RAN with MEC based on spectrum efficiency," IEEE Access, vol. 7, pp. 79056-79068, 2019. https://doi.org/10.1109/access.2019.2922702
- M. Awais, A. Ahmed, M. Naeem, M. Iqbal, W. Ejaz, A. Anpalagan, and H. S. Kim, "Efficient joint user association and resource allocation for cloud radio access networks," IEEE Access, vol. 5, pp. 1439-1448, 2017. https://doi.org/10.1109/ACCESS.2017.2663758
- J. Ye and Y. J. Zhang, "Pricing-based resource allocation in virtualized cloud radio access networks," IEEE Transactions on Vehicular Technology, vol. 68, no. 7, pp. 7096-7107, 2019. https://doi.org/10.1109/tvt.2019.2919289
- M. Yan, G. Feng, J. Zhou, Y. Sun, and Y. C. Liang, "Intelligent resource scheduling for 5G radio access network slicing," IEEE Transactions on Vehicular Technology, vol. 68, no. 8, pp. 7691-7703, 2019. https://doi.org/10.1109/tvt.2019.2922668
- Y. Sun, M. Peng, and H. V. Poor, "A distributed approach to improving spectral efficiency in uplink deviceto-device-enabled cloud radio access networks," IEEE Transactions on Communications, vol. 66, no. 12, pp. 6511-6526, 2018. https://doi.org/10.1109/tcomm.2018.2855212
- D. Chen, Z. Zhao, Z. Mao, and M. Peng, "Channel matrix sparsity with imperfect channel state information in cloud radio access networks," IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1363-1374, 2018. https://doi.org/10.1109/tvt.2017.2757004
- J. Li, X. Shen, L. Chen, J. Ou, L. Wosinska, and J. Chen, "Delay-aware bandwidth slicing for service migration in mobile backhaul networks," IEEE/OSA Journal of Optical Communications and Networking, vol. 11, no. 4, pp. B1-B9, 2019. https://doi.org/10.1364/jocn.11.0000b1
- Y. Sun, M. Peng, and S. Mao, "A game-theoretic approach to cache and radio resource management in fog radio access networks," IEEE Transactions on Vehicular Technology, vol. 68, no. 10, pp. 10145-10159, 2019. https://doi.org/10.1109/tvt.2019.2935098
- Y. Yu, S. Liu, Z. Tian, and S. Wang, "A dynamic distributed spectrum allocation mechanism based on game model in fog radio access networks," China Communications, vol. 16, no. 3, pp. 12-21, 2019. https://doi.org/10.12676/j.cc.2019.03.002
- A. Saddoud, W. Doghri, E. Charfi, and L. C. Fourati, "5G radio resource management approach for multitraffic IoT communications," Computer Networks, vol. 166, article no. 106936, 2020.
- C. Chen, B. Wang, and R. Zhang, "Interference hypergraph-based resource allocation (IHG-RA) for NOMAintegrated V2X networks," IEEE Internet of Things Journal, vol. 6, no. 1, pp. 161-170, 2019. https://doi.org/10.1109/jiot.2018.2875670
- Y. Sun, M. Peng, and S. Mao, "Deep reinforcement learning-based mode selection and resource management for green fog radio access networks," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1960-1971, 2019. https://doi.org/10.1109/jiot.2018.2871020
- Z. Yan, M. Peng, and M. Daneshmand, "Cost-aware resource allocation for optimization of energy efficiency in fog radio access networks," IEEE Journal on Selected Areas in Communications, vol. 36, no. 11, pp. 2581-2590, 2018. https://doi.org/10.1109/JSAC.2018.2874146
- U. Karneyenka, K. Mohta, and M. Moh, "Location and mobility aware resource management for 5G cloud radio access networks," in Proceedings of the 2017 International Conference on High Performance Computing & Simulation (HPCS), Genoa, Italy, 2017, pp. 168-175.
- J. Luo, Q. Chen, and L. Tang, "Reducing power consumption by joint sleeping strategy and power control in delay-aware C-RAN," IEEE Access, vol. 6, pp. 14655-14667, 2018. https://doi.org/10.1109/access.2018.2810896
- A. Younis, T. X. Tran, and D. Pompili, "Bandwidth and energy-aware resource allocation for cloud radio access networks," IEEE Transactions on Wireless Communications, vol. 17, no. 10, pp. 6487-6500, 2018. https://doi.org/10.1109/twc.2018.2860008
- I. Alqerm and B. Shihada, "Sophisticated online learning scheme for green resource allocation in 5G heterogeneous cloud radio access networks," IEEE Transactions on Mobile Computing, vol. 17, no. 10, pp. 2423-2437, 2018. https://doi.org/10.1109/tmc.2018.2797166
- Y. Zhang, G. Wu, L. Deng, and J. Fu, "Arrival rate-based average energy-efficient resource allocation for 5G heterogeneous cloud RAN," IEEE Access, vol. 7, pp. 136332-136342, 2019. https://doi.org/10.1109/access.2019.2939348
- N. Amani, H. Pedram, H. Taheri, and S. Parsaeefard, "Energy-efficient resource allocation in heterogeneous cloud radio access networks via BBU offloading," IEEE Transactions on Vehicular Technology, vol. 68, no. 2, pp. 1365-1377, 2019. https://doi.org/10.1109/tvt.2018.2882466
- R. Shi, J. Zhang, W. Chu, Q. Bao, X. Jin, C. Gong, Q. Zhu, C. Yu, and S. Rosenberg, "MDP and machine learning-based cost-optimization of dynamic resource allocation for network function virtualization," in Proceedings of 2015 IEEE International Conference on Services Computing, New York, NY, 2015, pp. 65-73.
- C. C. Liu, C. C. Huang, C. W. Tseng, Y. T. Yang, and L. Chou, "Service resource management in edge computing based on microservices," in Proceedings of 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), Tianjin, China, 2019, pp. 388-392.
- Kubernetes, "kube-proxy," 2020 [Online]. Available: https://kubernetes.io/docs/reference/command-linetools-reference/kube-proxy.
- Kubernetes, "The Kubernetes API," 2020 [Online]. Available: https://kubernetes.io/docs/concepts/overview/kubernetes-api.
- A. Basta, A. Blenk, K. Hoffmann, H. J. Morper, M. Hoffmann, and W. Kellerer, "Towards a cost optimal design for a 5G mobile core network based on SDN and NFV," IEEE Transactions on Network and Service Management, vol. 14, no. 4, pp. 1061-1075, 2017. https://doi.org/10.1109/TNSM.2017.2732505
- S. Song, C. Lee, H. Cho, G. Lim, and J. M. Chung, "Clustered virtualized network functions resource allocation based on context-aware grouping in 5G edge networks," IEEE Transactions on Mobile Computing, vol. 19, no. 5, pp. 1072-1083, 2020. https://doi.org/10.1109/tmc.2019.2907593
- R. Riggio, A. Bradai, D. Harutyunyan, T. Rasheed, and T. Ahmed, "Scheduling wireless virtual networks functions," IEEE Transactions on Network and Service Management, vol. 13, no. 2, pp. 240-252, 2016. https://doi.org/10.1109/TNSM.2016.2549563
- J. Plachy, Z. Becvar, and P. Mach, "Path selection enabling user mobility and efficient distribution of data for computation at the edge of mobile network," Computer Networks, vol. 108, pp. 357-370, 2016. https://doi.org/10.1016/j.comnet.2016.09.005
- T. X. Do and Y. Kim, "Usage-aware protection plan for state management functions in service-based 5G core network," IEEE Access, vol. 6, pp. 36906-36915, 2018. https://doi.org/10.1109/access.2018.2853127
- L. Ma, X. Wen, L. Wang, Z. Lu, and R. Knopp, "An SDN/NFV based framework for management and deployment of service based 5G core network," China Communications, vol. 15, no. 10, pp. 86-98, 2018. https://doi.org/10.1109/cc.2018.8485472
- T. Shimojo, M. R. Sama, A. Khan, and S. Iwashina, "Cost-efficient method for managing network slices in a multi-service 5G core network," in Proceedings of 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), Lisbon, Portugal, 2017, pp. 1121-1126.
- P. Abaev and A. Tsarev, "Hysteretic mechanism for 5G hybrid evolved packet core resource management," in Proceedings of 2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Moscow, Russia, 2018, pp. 1-6.
- Q. Jia, R. Xie, T. Huang, J. Liu, and Y. Liu, "Efficient caching resource allocation for network slicing in 5G core network," IET Communications, vol. 11, no. 18, pp. 2792-2799, 2017. https://doi.org/10.1049/iet-com.2017.0539
- A. Y. S. Lam and V. O. K. Li, "Chemical-reaction-inspired metaheuristic for optimization," IEEE Transactions on Evolutionary Computation, vol. 14, no. 3, pp. 381-399, 2010. https://doi.org/10.1109/TEVC.2009.2033580
- F. Z. Yousaf and T. Taleb, "Fine-grained resource-aware virtual network function management for 5G carrier cloud," IEEE Network, vol. 30, no. 2, pp. 110-115, 2016. https://doi.org/10.1109/MNET.2016.7437032
- T. V. K. Buyakar, A. K. Rangisetti, A. A. Franklin, and B. R. Tamma, "Auto scaling of data plane VNFs in 5G networks," in Proceedings of the 2017 13th International Conference on Network and Service Management (CNSM), Tokyo, Japan, 2017, pp. 1-4.
- Y. Zhao, Z. Chen, J. Zhang, and X. Wang, "Dynamic optical resource allocation for mobile core networks with software defined elastic optical networking," Optics Express, vol. 24, no. 15, pp. 16659-16673, 2016. https://doi.org/10.1364/OE.24.016659
- The OpenEPC Project [Online]. Available: https://sites.google.com/a/corenetdynamics.com/openepc/projectinfo/open-source.
- NFV-LTE-EPC [Online]. https://github.com/networkedsystemsIITB/NFV_LTE_EPC.