Abstract
We address the question of how to deploy a monitored 5G Core network slice using virtual probes. We propose vProbe and vPacket-Broker (vPB) deployment schemes within the slice to meet the monitoring need of a network operator and to have full network visibility. The physical probes and packet brokers capture and monitor the traffic in the slices. In 5G and especially the 5G Core (5GC) network, network functions will be virtualized/containerized (VNFs/CNFs) and automatically provisioned in the 5GC slice. In this context, the deployment of vProbes and vPacket Brokers, should be also automated and simultaneously considered in 5GC slices instantiations and deployments. To realize this automated deployment, one of the challenges is how to capture the traffic between two given VNFs or CNFs without impacting network performance. We answer this question by describing potential architectures that fit such a virtual infrastructure and adapt and propose two embedding algorithms to optimize and automate the instantiation of a 5GC slice. Three different metrics are used to evaluate performance and compare with other existing schemes.
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References
Abdelwahab, S., Hamdaoui, B., Guizani, M., Znati, T.: Network function virtualization in 5G. IEEE Commun. Mag. 54(4), 84–91 (2016)
Ordonez-Lucena, J., Ameigeiras, P., López, D., Ramos-Muñoz, J.J., Lorca, J., Folgueira, J.: Network slicing for 5G with SDN/NFV: concepts, architectures, and challenges. IEEE Commun. Mag. 55(5), 80–87 (2017)
Yi, B., Wang, X., Li, K., Das, S.K., Huang, M.: A comprehensive survey of network function virtualization. Comput. Netw. 133, 212–262 (2018)
Gil-Herrera, J., Botero, J.F.: Resource allocation in NFV: a comprehensive survey. IEEE Trans. Netw. Serv. Manag. 13(3), 518–532 (2016)
Houidi, O.: Algorithms for Virtual Network Functions chaining. Ph.D. thesis, Institut polytechnique de Paris (2020)
Moens, H., De Turck, F.: VNF-P: a model for efficient placement of virtualized network functions. In: Network and Service Management (CNSM), pp. 418–423 (2014)
Gember, A., Krishnamurthy, A., John, S.S., Grandl, R., Gao, X., Anand, A., Benson, T., Akella, A., Sekar, V.: Stratos: a network-aware orchestration layer for middleboxes in the cloud. CoRR abs/1305.0209 (2013). http://arxiv.org/abs/1305.0209
Mehraghdam, S., Keller, M., Karl, H.: Specifying and placing chains of virtual network functions. In: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), pp. 7–13 (2014)
Bari, M.F., Chowdhury, S.R., Ahmed, R., Boutaba, R.: On orchestrating virtual network functions in NFV. CoRR abs/1503.06377 (2015)
Papagianni, C.A., Leivadeas, A., Papavassiliou, S., Maglaris, V., Cervello-Pastor, C., Monje, Á.: On the optimal allocation of virtual resources in cloud computing networks. IEEE Trans. Comput. 62(6), 1060–1071 (2013)
Soualah, O., Mechtri, M., Ghribi, C., Zeghlache, D.: An efficient algorithm for virtual network function placement and chaining. In: 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017, Las Vegas, NV, USA, 8–11 January 2017, pp. 647–652 (2017)
Soualah, O., Mechtri, M., Ghribi, C., Zeghlache, D.: Energy efficient algorithm for VNF placement and chaining. In: Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, Madrid, Spain, 14–17 May 2017, pp. 579–588 (2017)
Ghaznavi, M., Khan, A., Shahriar, N., Alsubhi, K., Ahmed, R., Boutaba, R.: Elastic virtual network function placement. In: 4th IEEE International Conference on Cloud Networking, CloudNet 2015, Niagara Falls, ON, Canada, 5–7 October 2015, pp. 255–260 (2015)
He, M., Alba, A.M., Basta, A., Blenk, A., Kellerer, W.: Flexibility in softwarized networks: classifications and research challenges. IEEE Commun. Surv. Tutor. 21(3), 2600–2636 (2019)
Xie, Y., Liu, Z., Wang, S., Wang, Y.: Service function chaining resource allocation: a survey. CoRR abs/1608.00095 (2016)
Houidi, O., Soualah, O., Louati, W., Mechtri, M., Zeghlache, D., Kamoun, F.: An efficient algorithm for virtual network function scaling. In: 2017 IEEE Global Communications Conference, GLOBECOM 2017, Singapore, 4–8 December 2017, pp. 1–7 (2017)
Xia, J., Cai, Z., Xu, M.: Optimized virtual network functions migration for NFV. In: 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016, Wuhan, China, December 13-16, 2016. pp. 340–346 (2016)
Houidi, O., Soualah, O., Louati, W., Zeghlache, D.: Dynamic VNF forwarding graph extension algorithms. IEEE Trans. Netw. Serv. Manag. 17(3), 1389–1402 (2020)
Taleb, T., Bagaa, M., Ksentini, A.: User mobility-aware virtual network function placement for virtual 5G network infrastructure. In: 2015 IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 8–12 June 2015, pp. 3879–3884 (2015)
Xie, M., Zhang, Q., Grønsund, P., Palacharla, P., Gonzalez, A.J.: Joint monitoring and analytics for service assurance of network slicing. In: IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2018, Verona, Italy, 27–29 November 2018, pp. 1–6 (2018)
Xie, M., Zhang, Q., Gonzalez, A.J., Grønsund, P., Palacharla, P., Ikeuchi, T.: Service assurance in 5G networks: a study of joint monitoring and analytics. In: 30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019, Istanbul, Turkey, 8–11 September 2019, pp. 1–7 (2019)
ETSI GS NFV 003: Network Functions Virtualisation (NFV); Terminology for Main Concepts in NFV (2014)
Soualah, O., Mechtri, M., Ghribi, C., Zeghlache, D.: Online and batch algorithms for VNFs placement and chaining. Comput. Netw. 158, 98–113 (2019)
Houidi, O., Soualah, O., Louati, W., Zeghlache, D.: An enhanced reinforcement learning approach for dynamic placement of virtual network functions. In: 31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020, London, United Kingdom, 31 August–3 September 2020, pp. 1–7 (2020)
Orlowski, S., Wessäly, R., Pióro, M., Tomaszewski, A.: SNDlib 1.0 - survivable network design library. Networks 55(3), 276–286 (2010)
IBM ILOG CPLEX Optimization Studio. https://www-01.ibm.com/software/commerce/optimization/cplex-optimizer/
Zhu, Y., Ammar, M.: Algorithms for assigning substrate network resources to virtual network components. In: IEEE INFOCOM, pp. 1–12 (2006)
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Soualah, O., Houidi, O., Zeghlache, D. (2021). A Monitoring Aware Strategy for 5G Core Slice Embedding. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-030-75075-6_60
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DOI: https://doi.org/10.1007/978-3-030-75075-6_60
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