Evaluating software-defined networking for deterministic communication in distributed industrial automation systems

Schneider, Ben; Zoitl, Alois; Wenger, Monika; Blech, Jan Olaf

doi:10.1109/etfa.2017.8247594

Cited by 12 publications

(9 citation statements)

References 8 publications

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“…Additionally, a real testbed was implemented based on the food processing demonstration. Schneider et al [19] illustrated how the characteristics of SDN can be applied to the domain of industrial automation. They experimentally evaluated the performance penalty caused by the communication between the switch and SDN controller through the real network hardware.…”

Section: B Industrial Network/iiot (And Other Related Network) Driven By Sdn To Enhance the Qos Requirementsmentioning

confidence: 99%

“…The latency of the signaling message to the SDN controller can be higher, especially when the switch is at the same time installing the flow rules got from the SDN controller. Nevertheless, the flow rules can statically be pre-installed by an SDN controller which results in reducing the latency time (PFI), which is required for deterministic communication in the industrial systems as investigated in [19]. However, the PFI is inflexible as it cannot react and cope with the dynamic network state.…”

Section: Introductionmentioning

confidence: 99%

“…Previous literatures [19], [21]- [27] discussed the merits of SDN to enhance the interoperability between network devices. Some of them concentrated on the delay/latency [19], [21], [22], [24], [25], whereas others considered the combination of different metrics like delay/latency and energyefficiency [23], [27], as well as delay and packet loss [26]. Most of them did not take into account the improvement of flow installation methods with the consideration of heterogeneous QoS requirements.…”

Section: Introductionmentioning

confidence: 99%

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A Framework for Managing Dynamic Routing in Industrial Networks Driven by Software-Defined Networking Technology

et al. 2021

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In order to meet strict Quality-of-Service (QoS) constraints imposed by some industrial applications, the configuration of industrial networks must address the requirements of traffic flows with different priorities such as minimum delay and packet loss. The performance is affected significantly if the end-to-end delay and packet loss surpasses a specific limit, and may become unbefitting for the destination. In this paper, we select Software-Defined Networking (SDN) technology to manage centralized devices and design an optimal path to guarantee the QoS requirements by taking into consideration two types of traffic flows: the first is low-delay while the second is both low-delay and low-loss. By using this optimal path, the Reactive Flow Installation (RFI) method increases the time delay in the forwarding of packets. So as to solve this issue, we propose a Mixed Flow Installation (MFI) method based on caching the flow rules which correspond to the optimal paths in the hash table deployed in the SDN controller memory in order to reduce the computation time of the forwarding path and the load at the SDN controller. Alternatively, the pre-configured flow rules in switches by the Proactive Flow Installation (PFI) method achieves the delay-sensitive. However, the PFI is not modified when the network status or the traffic type changes till the timeout value expires. This can affect the QoS requirements for industrial applications. To handle this challenge, we propose a PFI Re-routing (PFIR) method that redefined faster a new optimal path according to change without waiting the SDN controller for new flow rules. With the care of wireless and wired networks, we have built a simulation network via the OpenDayLight SDN controller and conducted an experimental testbed. The framework results are demonstrated by the performances through reduction of end-to-end delay, packet loss rate, and packet violation ratio.INDEX TERMS SDN, Industrial SDN (ISDN), optimal path, flow installation method, QoS.

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Section: B Industrial Network/iiot (And Other Related Network) Driven By Sdn To Enhance the Qos Requirementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Framework for Managing Dynamic Routing in Industrial Networks Driven by Software-Defined Networking Technology

et al. 2021

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“…For example, [5] analyses the potential for SDN in the industrial network context and identifies important research challenges such as security, reliability, realtime requirements, timing performance and Quality of Service. [6] evaluated SDN in the field of industrial automation focusing on the SDN controller. They evaluate the performance penalty introduced by switch-controller-communication and showed that SDN is suitable for real-time traffic and has great potential for the use in the automation industry.…”

Section: Introductionmentioning

confidence: 99%

FastReact: In-Network Control and Caching for Industrial Control Networks using Programmable Data Planes

Vestin

Kassler

Åkerberg

2018

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)

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Providing network reliability as well as low and predictable latency is important especially for Industrial Automation and Control Networks. However, diagnosing link status from the control plane has high latency and overhead. In addition, the communication with the industrial controller may impose additional network latency. We present FastReact -a system enabling In-Network monitoring, control and caching for Industrial Automation and Control Networks. FastReact outsources simple monitoring and control actions to evolving programmable data planes using the P4 language. As instructed by the Industrial Controller through a Northbound API, the SDN controller composes control actions using Boolean Logic which are then installed in the data plane. The data plane parses and caches sensor values and performs simple calculations on them which are connected to fast control actions that are executed locally. For resiliency, FastReact monitors liveness and response of sensors/actuators and performs a fast local link repair in the data plane if a link failure is detected. Our testbed measurement show that FastReact can reduce the sensor/actuator delay while being resilient against several failure events.

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“…In [19] the authors reviewed SDN to draw a correlation between the requirement of the industrial network and existing work. In [20] we continue the evaluation of SDN for future industrial automation networks. This work extended the Ryu controller for direct multicast routing of industrial traffic in a cyclic switched Ethernet network setup.…”

Section: Sdns In Industrial Automationmentioning

confidence: 99%

Software Defined Networks in Industrial Automation

Ahmed

Blech

Gregory

et al. 2018

JSAN

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Trends such as the Industrial Internet of Things and Industry 4.0 have increased the need to use new and innovative network technologies in industrial automation. The growth of industrial automation communications is an outcome of the shift to harness the productivity and efficiency of manufacturing and process automation with a minimum of human intervention. Due to the ongoing evolution of industrial networks from Fieldbus technologies to Ethernet, a new opportunity has emerged to harness the benefits of Software Defined Networking (SDN). In this paper, we provide a brief overview of SDN in the industrial automation domain and propose a network architecture called the Software Defined Industrial Automation Network (SDIAN), with the objective of improving network scalability and efficiency. To match the specific considerations and requirements of having a deterministic system in an industrial network, we propose two solutions for flow creation: the Pro-active Flow Installation Scheme and the Hybrid Flow Installation Scheme. We analytically quantify the proposed solutions that alleviate the overhead incurred from the flow setup. The analytical model is verified using Monte Carlo simulations. We also evaluate the SDIAN architecture and analyze the network performance of the modified topology using the Mininet emulator. We further list and motivate SDIAN features and report on an experimental food processing plant demonstration featuring Raspberry Pi as a software-defined controller instead of traditional proprietary Programmable Logic Controllers. Our demonstration exemplifies the characteristics of SDIAN.

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Evaluating software-defined networking for deterministic communication in distributed industrial automation systems

Cited by 12 publications

References 8 publications

A Framework for Managing Dynamic Routing in Industrial Networks Driven by Software-Defined Networking Technology

A Framework for Managing Dynamic Routing in Industrial Networks Driven by Software-Defined Networking Technology

FastReact: In-Network Control and Caching for Industrial Control Networks using Programmable Data Planes

Software Defined Networks in Industrial Automation

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