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Self-healing in the Scope of Software-Based Computer and Mobile Networks

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Cloud Computing and Services Science (CLOSER 2020)

Abstract

Self-healing is an autonomic computing fundamental well-disseminated in standalone computer systems. In distributed systems, e.g. computer networks or mobile networks, the introduction of self-healing capabilities poses some challenges, mainly when software-based networks, e.g. Software-Defined Networking (SDN) and Network Functions Virtualisation (NFV), are involved. Such networks impose new control and management layers, and the adoption of self-healing functions means that all layers must be considered. In this paper, we present the challenges of self-healing in the scope of SDN and NFV, by revising the self-healing concept in computer and mobile networks, and by presenting the thorough difference between a system that applies fault tolerance from one that applies self-healing functions. We also introduce a framework for solving these challenges, by describing four use cases of self-healing, considering control, management, and data layers. The use cases focus on maintaining the health of the network at run-time, considering control, management, and infrastructure layers. Our framework is a novel Operations, Administration, and Maintenance (OAM) tool, based on a self-management network architecture that was introduced in our previous works.

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001.

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References

  1. 3GPP: Telecommunication management; Self-Organizing Networks (SON); Concepts and requirements. Technical Specification (TS) 32.500, 3rd Generation Partnership Project (3GPP) (2018). http://www.3gpp.org/-DynaReport/-32500.htm

  2. 3GPP: Telecommunication management; Study on management and orchestration of network slicing for next generation network. Technical Report (TR) 28.801, 3rd Generation Partnership Project (3GPP), January 2018. http://www.3gpp.org/DynaReport/28801.htm, version 15.1.0

  3. Abdelsalam, M.A.: Network Application Design Challenges and Solutions in SDN. Ph.D. thesis, Carleton University (2018)

    Google Scholar 

  4. 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). https://doi.org/10.1109/COMST.2018.2815638

    Article  Google Scholar 

  5. Basta, A., Blenk, A., Belhaj Hassine, H., Kellerer, W.: Towards a dynamic SDN virtualization layer: Control path migration protocol. In: 2015 11th International Conference on Network and Service Management (CNSM), pp. 354–359, November 2015. https://doi.org/10.1109/CNSM.2015.7367382

  6. Canini, M., Salem, I., Schiff, L., Schiller, E.M., Schmid, S.: A self-organizing distributed and in-band SDN control plane. In: 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 2656–2657, June 2017. https://doi.org/10.1109/ICDCS.2017.328

  7. Chen, H., Abbas, R., Cheng, P., Shirvanimoghaddam, M., Hardjawana, W., Bao, W., Li, Y., Vucetic, B.: Ultra-reliable low latency cellular networks: Use cases, challenges and approaches. IEEE Commun. Mag. 56(12), 119–125 (2018). https://doi.org/10.1109/MCOM.2018.1701178

    Article  Google Scholar 

  8. Cox, J.H., et al.: Advancing software-defined networks: a survey. IEEE Access 5, 25487–25526 (2017). https://doi.org/10.1109/ACCESS.2017.2762291

    Article  Google Scholar 

  9. Ganek, A.G., Corbi, T.A.: The dawning of the autonomic computing era. IBM Syst. J. 42(1), 5–18 (2003)

    Article  Google Scholar 

  10. GonÇalves., M.A., de Souza Neto., N.V., Oliveira., D.R.C., de Oliveira Silva., F., Rosa., P.F.: Bootstrapping and plug-and-play operations on software defined networks: a case study on self-configuration using the sonar architecture. In: Proceedings of the 10th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, pp. 103–114. INSTICC, SciTePress (2020). https://doi.org/10.5220/0009406901030114

  11. Kubernetes: Kubernetes (2020). https://kubernetes.io/

  12. ONOS: ONOS (2020). https://wiki.onosproject.org/

  13. Open Networking Foundation: OpenFlow Switch Specification Version 1.5.1 (Protocol version 0x06) (2020). https://www.opennetworking.org/wp-content/uploads/2014/10/openflow-switch-v1.5.1.pdf

  14. OpenDaylight: OpenDaylight (2020). https://www.opendaylight.org/

  15. Openstack: Openstack (2020). https://www.openstack.org/

  16. Fonseca, P.C., Mota, E.S.: A survey on fault management in software-defined networks. IEEE Commun. Surv. Tutor. 19(4), 2284–2321 (2017). https://doi.org/10.1109/COMST.2017.2719862

    Article  Google Scholar 

  17. Rehman, A.U., Aguiar, R.L., Barraca, J.P.: Fault-tolerance in the scope of software-defined networking (SDN). IEEE Access 7, 124474–124490 (2019). https://doi.org/10.1109/ACCESS.2019.2939115

    Article  Google Scholar 

  18. Sanchez, J., Yahia, I.G.B., Crespi, N., Rasheed, T., Siracusa, D.: Softwarized 5G networks resiliency with self-healing. In: 1st International Conference on 5G for Ubiquitous Connectivity, pp. 229–233, November 2014. https://doi.org/10.4108/icst.5gu.2014.258123

  19. Schiff, L., Schmid, S., Canini, M.: Ground control to major faults: towards a fault tolerant and adaptive SDN control network. In: 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W), pp. 90–96, June 2016. https://doi.org/10.1109/DSN-W.2016.48

  20. de Souza Neto., N.V., Oliveira., D.R.C., GonÇalves., M.A., de Oliveira Silva., F., Rosa., P.F.: A self-healing platform for the control and management planes communication in softwarized and virtualized networks. In: Proceedings of the 10th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, pp. 415–422. INSTICC, SciTePress (2020). https://doi.org/10.5220/0009465204150422

  21. Thorat, P., Raza, S.M., Nguyen, D.T., Im, G., Choo, H., Kim, D.S.: Optimized self-healing framework for software defined networks. In: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication,. pp. 1–6 (2015)

    Google Scholar 

  22. Yousaf, F.Z., Bredel, M., Schaller, S., Schneider, F.: NFV and SDN–key technology enablers for 5G networks. IEEE J. Sel. Areas Commun. 35(11), 2468–2478 (2017). https://doi.org/10.1109/JSAC.2017.2760418

    Article  Google Scholar 

  23. Zhou, X., Li, R., Chen, T., Zhang, H.: Network slicing as a service: enabling enterprises’ own software-defined cellular networks. IEEE Commun. Mag. 54(7), 146–153 (2016). https://doi.org/10.1109/MCOM.2016.7509393

    Article  Google Scholar 

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Correspondence to Natal Vieira de Souza Neto .

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de Souza Neto, N.V., Oliveira, D.R.C., Gonçalves, M.A., de Oliveira Silva, F., Rosa, P.F. (2021). Self-healing in the Scope of Software-Based Computer and Mobile Networks. In: Ferguson, D., Pahl, C., Helfert, M. (eds) Cloud Computing and Services Science. CLOSER 2020. Communications in Computer and Information Science, vol 1399. Springer, Cham. https://doi.org/10.1007/978-3-030-72369-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-72369-9_14

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