Investigation on a distributed SDN control plane architecture for heterogeneous time sensitive networks

Data-driven services (optimization or condition monitoring) are often deployed using cloud architectures. The shop floor itself becomes more and more flexible and reconfigurable using modular machine design and Plug and Play services. These industrial use cases induce additional requirements to communication systems: scalable real-time communication from sensor to cloud as well as seamless and automatic network configuration on the shop floor. A promising data plane technology for the Industrial Internet of Things (IIoT) is IEEE 802.1 Ethernet TSN that allows convergent and time sensitive communication. The configuration of the IIoT is complex because the IIoT is often large, growing and changing over time and often consists of heterogeneous network domains because of the brownfield and manifold requirements from the applications. Software-defined Networking (SDN) has the potential to reduce the engineering effort and to increase the operation efficiency (monitoring, diagnosis, reconfiguration) of heterogeneous IIoT. SDN Control Planes can be implemented as physical-central, logic-central, distributed or hybrid architecture. The different architectures have specific advantages and disadvantages regarding QoS, throughput and engineering efforts. A key role takes the East-West interface that handles the communication between distributed SDN Controllers. SDN Data Plane agents can help to manage legacy Data Planes with SDN. A TSN Nano Profile with inverse and cooperative operating Time Aware Shaper is a migration solution to upgrade legacy communication controllers with TSN functions. The disadvantages are less throughput and increased latency for acyclic traffic.

[1]  Fouad Benamrane,et al.  An East-West interface for distributed SDN control plane: Implementation and evaluation , 2017, Comput. Electr. Eng..

[2]  Csaba Simon,et al.  Ethernet with Time Sensitive Networking Tools for Industrial Networks , 2017 .

[3]  Sami Souihi,et al.  Distributed SDN Control: Survey, Taxonomy, and Challenges , 2018, IEEE Communications Surveys & Tutorials.

[4]  Lukasz Wisniewski,et al.  Investigation in automatic determination of time synchronization accuracy of PTP networks with the objective of Plug-and-Work , 2014, 2014 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication (ISPCS).

[5]  Henning Trsek,et al.  Towards autoconfiguration of industrial automation systems: A case study using Profinet IO , 2012, Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012).

[6]  Lukasz Wisniewski,et al.  Node to node synchronization accuracy requirements of Dynamic Frame Packing , 2013, 2013 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication (ISPCS) Proceedings.

[7]  Jürgen Jasperneite,et al.  A proposal to integrate process data communication to IEEE 802.1 Audio Video Bridging (AVB) , 2011, ETFA2011.

[8]  Jürgen Jasperneite,et al.  Analysis of realizing a future industrial network by means of Software-Defined Networking (SDN) , 2016, 2016 IEEE World Conference on Factory Communication Systems (WFCS).

[9]  Frank Dürr,et al.  Time-sensitive Software-defined Network (TSSDN) for Real-time Applications , 2016, RTNS.

[10]  Mathieu Bouet,et al.  DISCO: Distributed SDN controllers in a multi-domain environment , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).

[11]  Lukasz Wisniewski New methods to engineer and seamlessly reconfigure time triggered Ethernet based systems during runtime based on the PROFINET IRT example , 2017 .

[12]  Jürgen Jasperneite,et al.  A field level architecture for reconfigurable real-time automation systems , 2014, 2014 10th IEEE Workshop on Factory Communication Systems (WFCS 2014).

[13]  D. Kutscher,et al.  OPC UA TSNA new Solution for Industrial Communication , 2018 .

[14]  Silviu S. Craciunas,et al.  Design optimisation of cyber-physical distributed systems using IEEE time-sensitive networks , 2016, IET Cyper-Phys. Syst.: Theory & Appl..

[15]  Rakesh Kumar,et al.  End-to-End Network Delay Guarantees for Real-Time Systems Using SDN , 2017, 2017 IEEE Real-Time Systems Symposium (RTSS).