TY - JOUR

T1 - A Framework for Managing Dynamic Routing in Industrial Networks Driven by Software-Defined Networking Technology

AU - Josbert, Nteziriza Nkerabahizi

AU - Ping, Wang

AU - Wei, Min

AU - Muthanna, Mohammed Saleh Ali

AU - Rafiq, Ahsan

N1 - N. N. Josbert, W. Ping, M. Wei, M. S. A. Muthanna and A. Rafiq, "A Framework for Managing Dynamic Routing in Industrial Networks Driven by Software-Defined Networking Technology," in IEEE Access, vol. 9, pp. 74343-74359, 2021, doi: 10.1109/ACCESS.2021.3079896.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - flow installation method

KW - industrial SDN (ISDN)

KW - optimal path

KW - QoS

KW - SDN

KW - SYSTEM

KW - DESIGN

KW - AWARE

KW - Packet loss

KW - Quality of service

KW - Routing

KW - Control systems

KW - Industrial Internet of Things

KW - ISDN

KW - Delays

UR - http://www.scopus.com/inward/record.url?scp=85105861215&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/8a9c4401-588a-37c0-94c1-01bd45572125/

U2 - 10.1109/ACCESS.2021.3079896

DO - 10.1109/ACCESS.2021.3079896

M3 - Article

AN - SCOPUS:85105861215

VL - 9

SP - 74343

EP - 74359

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

M1 - 9430558

ER -