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Challenges and Future Direction of Time-Sensitive Software-Defined Networking (TSSDN) in Automation Industry

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Book cover Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11611))

Abstract

In Industry 4.0, Cyber physical system (CPS) is suffered from queuing delay during the process of data gathering and feedback generation by which affects the efficiency of providing hard real-time guarantees. Hard real-time cyber physical system requires software and hardware to operate strictly within the deadline. Time-Sensitive Software-Defined Networking (TSSDN) is an architecture which utilizes the centralized network controller in Software-Defined Networking (SDN) to facilitate the operation of software and hardware in CPS globally. Time-sensitive-aware scheduling traffic system in TSSDN is capable to minimize the queuing delay in the network which leads to hard real-time guarantees. Hence, the potential opportunities of TSSDN in automation industry has motivate the further investigate of its current states. This paper will discuss the challenges of TSSDN and suggest its future direction enhancement.

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References

  1. Wang, S., Wan, J., Zhang, D., Li, D., Zhang, C.: Towards smart factory for Industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput. Netw. 101, 158–168 (2016)

    Article  Google Scholar 

  2. Sreedharan, V.R., Unnikrishnan, A.: Moving towards Industry 4.0: a systematic review. Int. J. Pure Appl. Math. 117(2), 929–936 (2017)

    Google Scholar 

  3. Jazdi, N.: Cyber physical systems in the context of Industry 4.0. In: IEEE International Conference on Automation, Quality and Testing, Robotics, pp. 1–4 (2014)

    Google Scholar 

  4. Higashion Laboratory: Cyber Physical System (CPS) Research in Higashion Laboratory. http://www-higashi.ist.osaka-u.ac.jp/~higashino/eng/research/cps-E.html. Accessed 18 Sept 2018

  5. The Time-Sensitive Networking Task Group: IEEE 802.1 Time-Sensitive Networking Task Group. IEEE Working Group (2017). http://www.ieee802.org/1/pages/tsn.html. Accessed 18 Sept 2018

  6. Teener, M.D.J., et al.: heterogeneous networks for audio and video: using IEEE 802.1 audio video bridging. Proc. IEEE 101(11), 2339–2354 (2013)

    Article  Google Scholar 

  7. Craciunas, S.S., Oliver, R.S., Chmelík, M., Steiner, W.: Scheduling real-time communication in IEEE 802.1 Qbv time sensitive networks. In: Proceedings of the 24th International Conference on Real-Time Networks and Systems, pp. 183–192 (2016)

    Google Scholar 

  8. P802.1Qcc – Stream Reservation Protocol (SRP) Enhancements and Performance Improvements. https://1.ieee802.org/tsn/802-1qcc/. Accessed 10 Oct 2018

  9. Ahmed, K., Blech, J.O., Gregory, M.A., Schmidt, H.: Software defined networking for communication and control of cyber-physical systems. In: IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS), pp. 803–808 (2015)

    Google Scholar 

  10. Nayak, N.G., Dürr, F., Rothermel, K.: Software-defined environment for reconfigurable manufacturing systems. In: 5th International Conference on the Internet of Things (IOT), pp. 122–129 (2015)

    Google Scholar 

  11. Cisco Public: Time-Sensitive Networking: A Technical Introduction White Paper Time-Sensitive Networking: A Technical Introduction (2017)

    Google Scholar 

  12. Böhm, M., Ohms, J., Gebauer, O., Wermser, D.: Architectural Design of a TSN to SDN Gateway in the Context of Industry 4.0

    Google Scholar 

  13. IEEE Standard for Local and metropolitan area networks — Bridges and Bridged Networks - Amendment 24: Path Control and Reservation. IEEE Std 802.1Qca-2015 (Amendment to IEEE Std 802.1Q-2014 as Amend. by IEEE Std 802.1Qcd-2015 IEEE Std 802.1Q-2014/Cor 1-2015), pp. 1–120, March 2016

    Google Scholar 

  14. Singh, S.: Routing algorithms for time sensitive networks (2017)

    Google Scholar 

  15. Dürr, F., Nayak, N.G.: No-wait packet scheduling for IEEE time-sensitive networks (TSN). In: Proceedings of the 24th International Conference on Real-Time Networks and Systems, pp. 203–212 (2016)

    Google Scholar 

  16. Craciunas, S.S., Oliver, R.S.: SMT-based task-and network-level static schedule generation for time-triggered networked systems. In: Proceedings of the 22nd International Conference on Real-Time Networks and Systems, p. 45 (2014)

    Google Scholar 

  17. Nayak, N.G., Dürr, F., Rothermel, K.: Time-Sensitive Software-Defined Networks for Real-Time Applications (2016)

    Google Scholar 

  18. Doria, A., et al.: Forwarding and control element separation (ForCES) protocol specification (2010)

    Google Scholar 

  19. McKeown, N., et al.: OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev. 38(2), 69–74 (2008)

    Article  Google Scholar 

  20. Sezer, S., et al.: Are we ready for SDN? Implementation challenges for software-defined networks. IEEE Commun. Mag. 51(7), 36–43 (2013)

    Article  Google Scholar 

  21. Du, J.L., Herlich, M.: Software-defined networking for real-time ethernet. In: ICINCO, no. 2, pp. 584–589 (2016)

    Google Scholar 

  22. Gopalakrishnan, A.: Applications of software defined networks in industrial automation (2014)

    Google Scholar 

  23. Ditzel, G.A., Didier, P.: Time sensitive network (TSN) protocols and use in ethernet/ip systems. In: ODVA Industry Conference & 17th Annual Meeting (2015)

    Google Scholar 

  24. Quentin Monnet: An introduction to SDN (2016). https://qmonnet.github.io/whirl-offload/2016/07/08/introduction-to-sdn/. Accessed 23 Jan 2019

  25. Shamugam, V., Murray, I., Leong, J.A., Sidhu, A.S.: Software defined networking challenges and future direction: a case study of implementing SDN features on OpenStack private cloud. IOP Conf. Ser. Mater. Sci. Eng. 121(1), 12003 (2016)

    Article  Google Scholar 

  26. Nasrallah, A., et al.: Ultra-low latency (ULL) networks: The IEEE TSN and IETF DetNet standards and related 5G ULL research. IEEE Commun. Surv. Tutor. 21, 88–145 (2018)

    Article  Google Scholar 

  27. King, D., Zhao, Q., Hardwick, J.: Path Computation Element Communication Protocol (PCEP) Management Information Base (MIB) Module (2014)

    Google Scholar 

  28. Lange, S., et al.: Heuristic approaches to the controller placement problem in large scale SDN networks. IEEE Trans. Netw. Serv. Manag. 12(1), 4–17 (2015)

    Article  Google Scholar 

  29. Tsou, T., Yin, H., Xie, H., Lopez, D.: Use Cases for ALTO with Software Defined Networks (2012)

    Google Scholar 

  30. Voellmy, A., Kim, H., Feamster, N.: Procera: a language for high-level reactive network control. In: Proceedings of the first workshop on Hot topics in software defined networks, pp. 43–48 (2012)

    Google Scholar 

  31. Foster, N., et al.: Frenetic: a network programming language. ACM Sigplan Not. 46(9), 279–291 (2011)

    Article  Google Scholar 

  32. Hinrichs, T.L., Gude, N.S., Casado, M., Mitchell, J.C., Shenker, S.: Practical declarative network management. In: Proceedings of the 1st ACM workshop on Research on enterprise networking, pp. 1–10 (2009)

    Google Scholar 

  33. Voellmy, A., Hudak, P.: Nettle: taking the sting out of programming network routers. In: Rocha, R., Launchbury, J. (eds.) PADL 2011. LNCS, vol. 6539, pp. 235–249. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-18378-2_19

    Chapter  Google Scholar 

  34. Porras, P., Shin, S., Yegneswaran, V., Fong, M., Tyson, M., Gu, G.: A security enforcement kernel for OpenFlow networks. In: Proceedings of the First Workshop on Hot Topics in Software Defined Networks, pp. 121–126 (2012)

    Google Scholar 

  35. Software-Defined Networking: The New Norm for Networks ONF White Paper (2012)

    Google Scholar 

  36. Neghabi, A., Navimipour, N.J., Hosseinzadeh, M., Rezaee, A.: Load balancing mechanisms in the software defined networks: a systematic and comprehensive review of the literature. IEEE Access 6, 14159–14178 (2018)

    Article  Google Scholar 

  37. Ejaz, S., Iqbal, Z.: Network function virtualization: challenges and prospects for modernization. In: Proceedings of the International Conference on Engineering and Emerging Technologies (ICEET), pp. 1–5, February 2018

    Google Scholar 

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Correspondence to Tan Saw Chin .

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Haur, N.K., Chin, T.S. (2019). Challenges and Future Direction of Time-Sensitive Software-Defined Networking (TSSDN) in Automation Industry. In: Wang, G., Feng, J., Bhuiyan, M., Lu, R. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2019. Lecture Notes in Computer Science(), vol 11611. Springer, Cham. https://doi.org/10.1007/978-3-030-24907-6_24

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  • DOI: https://doi.org/10.1007/978-3-030-24907-6_24

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