Solution for Industrial Networks: Resilience-based SDN Technology

Josbert, Nteziriza Nkerabahizi; Wang, Ping; Wei, Min; Rafiq, Ahsan

doi:10.1109/icbaie52039.2021.9390019

Cited by 7 publications

(5 citation statements)

References 20 publications

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“…The Data plane layer or also known as the infrastructure layer consists of network devices such as a physical switch or virtual switch, router, gateway, server, and access point [6]. Generally, this layer allows device connectivity and data transfer [7]. The data plane consists of hardware devices that are responsible to handle the traffic following the rules set by the control plane.…”

Section: Data Planementioning

confidence: 99%

Toward Adaptive and Scalable Topology in Distributed SDN Controller

Kelian

Warip²,

Ahmad³

et al. 2023

ARASET

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The increasing need for automated networking platforms like the Internet of Things, as well as network services like cloud computing, big data applications, wireless networks, mobile Internet, and virtualization, has driven existing networks to their limitations. Software-defined network (SDN) is a new modern programmable network architectural technology that allows network administrators to control the entire network consistently and logically centralized in software-based controllers and network devices become just simple packet forwarding devices. The controller that is the network's brain, is mostly based on the OpenFlow protocol and has distinct characteristics that vary depending on the programming language. Its function is to control network traffic and increase network resource efficiency. Therefore, selecting the right controllers and monitoring their performance to increase resource usage and enhance network performance metrics is required. For network performance metrics analysis, the study proposes an implementation of SDN architecture utilizing an open-source OpenDaylight (ODL) distributed SDN controller. The proposed work evaluates the deployment of distributed SDN controller performance on three distinct customized network topologies based on SDN architecture for node-to-node performance metrics such as delay, throughput, packet loss, and bandwidth use. The experiments are conducted using the Mininet emulation tool. Wireshark is used to collect and analyse packets in real-time. The results obtained from the comparison of networks are presented to provide useful guidelines for SDN research and deployment initiatives.

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Section: Data Planementioning

confidence: 99%

Toward Adaptive and Scalable Topology in Distributed SDN Controller

Kelian

Warip²,

Ahmad³

et al. 2023

ARASET

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“…The proposed approach aims at improving the recovery time without affecting the end-to-end delay before a link failure, while simultaneously considering the dynamic performance according to the current measures. To this end, this paper is the extended version of the manuscript stored in [20]. Compared to the first one, we have added and illustrated the big difference between the related works and our proposed model.…”

Section: Resilience Approachesmentioning

confidence: 99%

“…Lastly, Section 5 concludes the paper and covers topics for future works. This manuscript is the extended version of the paper archived in [20].…”

Section: Introductionmentioning

confidence: 99%

Industrial Networks Driven by SDN Technology for Dynamic Fast Resilience

et al. 2021

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Software-defined networking (SDN) provides the prospect of logically centralized management in industrial networks and simplified programming among devices. It also facilitates the reconfiguration of connectivity when there is a network element failure. This paper presents a new Industrial SDN (ISDN) resilience that addresses the gap between two types of resilience: the first is restoration while the second is protection. Using a restoration approach increases the recovery time proportionally to the number of affected flows contrarily to the protection approach which attains the fast recovery. Nevertheless, the protection approach utilizes more flow rules (flow entries) in the switch which in return increments the lookup time taken to discover an appropriate flow entry in the flow table. This can have a negative effect on the end-to-end delay before a failure occurs (in the normal situation). In order to balance both approaches, we propose a Mixed Fast Resilience (MFR) approach to ensure the fast recovery of the primary path without any impact on the end-to-end delay in the normal situation. In the MFR, the SDN controller establishes a new path after failure detection and this is based on flow rules stored in its memory through the dynamic hash table structure as the internal flow table. At that time, it transmits the flow rules to all switches across the appropriate secondary path simultaneously from the failure point to the destination switch. Moreover, these flow rules which correspond to secondary paths are cached in the hash table by considering the current minimum path weight. This strategy leads to reduction in the load at the SDN controller and the calculation time of a new working path. The MFR approach applies the dual primary by considering several metrics such as packet-loss probability, delay, and bandwidth which are the Quality of Service (QoS) requirements for many industrial applications. Thus, we have built a simulation network and conducted an experimental testbed. The results showed that our resilience approach reduces the failure recovery time as opposed to the restoration approaches and is more scalable than a protection approach. In the normal situation, the MFR approach reduces the lookup time and end-to-end delay than a protection approach. Furthermore, the proposed approach improves the performance by minimizing the packet loss even under failing links.

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“…SDNs have also been employed in CPS [ 18 ] to ensure flexibility and heterogeneity without compromising the Quality of Service (QoS) required. In turn, SDNs are employed to guarantee the resilience required in industrial/manufacturing systems and CPS in [ 19 ], since some operations should not be interrupted at any time.…”

Section: Introductionmentioning

confidence: 99%

Software-Defined Networking Solutions, Architecture and Controllers for the Industrial Internet of Things: A Review

Urrea

Benítez

2021

Sensors

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The use of Software-Defined Networking (SDN) in the communications of the Industrial Internet of Things (IIoT) demands more comprehensive solutions than those developed to date. The lack of an SDN solution applicable in diverse IIoT scenarios is the problem addressed in this article. The main cause of this problem is the lack of integration of a set of aspects that should be considered in a comprehensive SDN solution. To contribute to the solution of this problem, a review of the literature is conducted in this article, identifying the main requirements for industrial networks nowadays as well as their solutions through SDN. This review indicates that aspects such as security, independence of the network technology used, and network centralized management can be tackled using SDN. All the advantages of this technology can be obtained through the implementation of the same solution, considering a set of aspects proposed by the authors for the implementation of SDNs in IIoT networks. Additionally, after analyzing the main features and advantages of several architectures proposed in the literature, an architecture with distributed network control is proposed for all SDN network scenarios in IIoT. This architecture can be adapted through the inclusion of other necessary elements in specific scenarios. The distributed network control feature is relevant here, as it prevents a single fault-point for an entire industrial network, in exchange for adding some complexity to the network. Finally, the first ideas for the selection of an SDN controller suitable for IIoT scenarios are included, as this is the core element in the proposed architecture. The initial proposal includes the identification of six controllers, which correspond to different types of control planes, and ten characteristics are defined for selecting the most suitable controller through the Analytic Hierarchy Process (AHP) method. The analysis and proposal of different fundamental aspects for the implementation of SDNs in IIoT in this article contribute to the development of a comprehensive solution that is not focused on the characteristics of a specific scenario and would, therefore, be applicable in limited situations.

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Solution for Industrial Networks: Resilience-based SDN Technology

Cited by 7 publications

References 20 publications

Toward Adaptive and Scalable Topology in Distributed SDN Controller

Toward Adaptive and Scalable Topology in Distributed SDN Controller

Industrial Networks Driven by SDN Technology for Dynamic Fast Resilience

Software-Defined Networking Solutions, Architecture and Controllers for the Industrial Internet of Things: A Review

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