Abstract
The spreading and popularization of applications such as Artificial Intelligence (AI), the Internet of Things (IoT), and Virtual Reality (VR) have relentlessly changed the way we live and communicate. Besides, these applications, having specific requirements that transcend connectivity, have changed the way they have reserved the underlying resources. In this sense, to satisfy these applications agreeably, network slicing mechanisms are needed to make it possible to customize connectivity for applications that run on generic network hardware through a separate data and control plane. Besides, connectivity needs to be responsive to vertical business requirements, such as low-latency and high-reliability. This paper proposes the XCP Controller, a scalable and stable method of configuring data planes for network slices between multiple Internet domains for applications with low-latency requirements. Empirical results suggest that the combination of NASOR and XCP Controller enables to deploy network slices over early packet processing technologies to experience lower latencies than other baseline technologies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Afolabi, I., Taleb, T., Samdanis, K., Ksentini, A., Flinck, H.: Network slicing and softwarization: a survey on principles, enabling technologies, and solutions. IEEE Commun. Surv. Tutor. 20(3), 2429–2453 (2018)
Kalør, A.E., Guillaume, R., Nielsen, J.J., Mueller, A., Popovski, P.: Network slicing in Industry 4.0 applications: abstraction methods and end-to-end analysis. IEEE Trans. Industr. Inf. 14(12), 5419–5427 (2018)
Chowdhury, M.Z., Shahjalal, M., Ahmed, S., Jang, Y.M.: 6G wireless communication systems: applications, requirements, technologies, challenges, and research directions. IEEE Open J. Commun. Soc. 1, 957–975 (2020)
Zhou, Y., Liu, L., Wang, L., Hui, N., Cui, X., Wu, J., Peng, Y., Qi, Y., Xing, C.: Service aware 6G: an intelligent and open network based on convergence of communication, computing and caching. Digit. Commun. Netw. 6, 253–260 (2020)
Filsfils, C., Nainar, N.K., Pignataro, C., Cardona, J.C., Francois, P.: The segment routing architecture. In: 2015 IEEE Global Communications Conference (GLOBECOM), pp. 1–6 (2015)
Khan, L.U., Yaqoob, I., Tran, N.H., Han, Z., Hong, C.S.: Network slicing: recent advances, taxonomy, requirements, and open research challenges. IEEE Access 8, 36009–36028 (2020)
Markets and Markets: Network slicing market by component (solution and services (professional and managed)), end user (telecom operators and enterprises), application (manufacturing, government, automotive, media and entertainment), and region - global forecast to 2025
Zhang, S.: An overview of network slicing for 5G. IEEE Wirel. Commun. 26(3), 111–117 (2019)
Cheng, X., Wu, Y., Min, G., Zomaya, A.Y., Fang, X.: Safeguard network slicing in 5G: a learning augmented optimization approach. IEEE J. Sel. Areas Commun. 38(7), 1600–1613 (2020)
Taleb, T., Afolabi, I., Samdanis, K., Yousaf, F.Z.: On multi-domain network slicing orchestration architecture and federated resource control. IEEE Netw. 33(5), 242–252 (2019)
Moreira, R., Rosa, P.F., Aguiar, R.L.A., de Oliveira Silva, F.: Enabling multi-domain and end-to-end slice orchestration for virtualization everything functions (VxFs). In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds.) Advanced Information Networking and Applications, pp. 830–844. Springer, Cham (2020)
Van Tu, N., Yoo, J.H., Hong, J.W.K.: Measuring end-to-end packet processing time in service function chaining. In: 2020 16th International Conference on Network and Service Management (CNSM), pp. 1–9 (2020)
Ricart-Sanchez, R., Aleixo, A.C., Wang, Q., Alcaraz Calero, J.M.: Hardware-based network slicing for supporting smart grids self-healing over 5G networks. In: 2020 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–6 (2020)
Zilberman, N., Audzevich, Y., Covington, G.A., Moore, A.W.: NetFPGA SUME: toward 100 Gbps as research commodity. IEEE Micro 34(5), 32–41 (2014)
Van Tu, N., Yoo, J.H., Won-Ki Hong, J.: Accelerating virtual network functions with fast-slow path architecture using express data path. IEEE Trans. Netw. Serv. Manag. 17(3), 1474–1486 (2020)
Xhonneux, M., Duchene, F., Bonaventure, O.: Leveraging eBPF for programmable network functions with IPv6 segment routing. In: Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2018, pp. 67–72. Association for Computing Machinery, New York (2018)
McCanne, S., Jacobson, V.: The BSD packet filter: a new architecture for user-level packet capture. In: USENIX Winter, vol. 46 (1993)
Høiland-Jørgensen, T., Brouer, J.D., Borkmann, D., Fastabend, J., Herbert, T., Ahern, D., Miller, D.: The express data path: fast programmable packet processing in the operating system kernel. In: Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2018, pp. 54–66. Association for Computing Machinery, New York (2018)
Kukliński, S., Tomaszewski, L.: Key performance indicators for 5G network slicing. In: 2019 IEEE Conference on Network Softwarization (NetSoft), pp. 464–471 (2019)
Ericsson: Ericsson white paper UEN 284 23-3251 rev B
Cunha, V.A., Corujo, D., Barraca, J.P., Aguiar, R.L.: MTD to set network slice security as a KPI. Internet Technol. Lett. 3(6), e190 (2020). e190 ITL-20-0040.R1
3GPP: Management and orchestration: 5G end to end key performance indicators (KPI) (2020)
Jakma, P., Lamparter, D.: Introduction to the quagga routing suite. IEEE Netw. 28(2), 42–48 (2014)
Abdelsalam, A., Clad, F., Filsfils, C., Salsano, S., Siracusano, G., Veltri, L.: Implementation of virtual network function chaining through segment routing in a Linux-based NFV infrastructure. In: 2017 IEEE Conference on Network Softwarization (NetSoft), pp. 1–5 (2017)
Acknowledgements
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Moreira, R., Rosa, P.F., Aguiar, R.L.A., de Oliveira Silva, F. (2021). Deploying Scalable and Stable XDP-Based Network Slices Through NASOR Framework for Low-Latency Applications. 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_59
Download citation
DOI: https://doi.org/10.1007/978-3-030-75075-6_59
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-75074-9
Online ISBN: 978-3-030-75075-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)