Software Defined Networks in Industrial Automation

Ahmed, Khandakar; Blech, Jan Olaf; Gregory, Mark A; Schmidt, Heinz

doi:10.3390/jsan7030033

Cited by 28 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In ref. [15], the reported research focused on this direction, giving emphasis on how efficient management of resources will potentially improve the QoS provisioning in Software Defined Wireless Sensor Networks.…”

Section: Motivation and State Of The Artmentioning

confidence: 99%

Comparison of Management and Orchestration Solutions for the 5G Era

Trakadas

Karkazis

Leligou

et al. 2020

JSAN

View full text Add to dashboard Cite

5G is considered to be the technology that will accommodate the development and management of innovative services with stringent and diverse requirements from end users, calling for new business models from the industry. In this context, the development and efficient management of Network Services (NS) serving specific vertical industries and spanning across multiple administrative domains and heterogeneous infrastructures is challenging. The main challenges regard the efficient provision of NSs considering the Quality of Service (QoS) requirements per vertical industry along with the optimal usage of the allocated resources. Towards addressing these challenges, this paper details an innovative approach that we have developed for managing and orchestrating such NSs, called SONATA, and compare it with OSM and Cloudify, which are two of the most known open-source Management and Orchestration (MANO) frameworks. In addition to examining the supported orchestration mechanisms per MANO framework, an evaluation of main operational and functional KPIs is provided based on experimentation using a real testbed. The final aim is the identification of their strong and weak points, and the assessment of their suitability for serving diverse vertical industry needs, including of course the Internet of Things (IoT) service ecosystem.

show abstract

Section: Motivation and State Of The Artmentioning

confidence: 99%

Comparison of Management and Orchestration Solutions for the 5G Era

Trakadas

Karkazis

Leligou

et al. 2020

JSAN

View full text Add to dashboard Cite

show abstract

“…Among the proposals for using SDN in IIoT, there are several architectures. For example, the architecture in [ 60 ], denominated Software Defined Industrial Automation Network (SDIAN), focuses on improving the scalability and efficiency of the network in industrial automation scenarios. Although the use of SDN contributes to the improvement of specific network parameters, employing Raspberry Pi plates to implement the proposed architecture can limit the scalability of the network in certain scenarios.…”

Section: Use Of Sdn In Iiotmentioning

confidence: 99%

“…The main goal of using optimization algorithms is to find the most efficient trajectories in the network according to the achievement objectives. An example of this is the L_1 norm Optimization used in [ 60 ], which seeks to find the shortest path to optimize latency.…”

Section: Considerations For the Implementation Of A Comprehensive Sdn Solution For Iiotmentioning

confidence: 99%

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

Urrea

Benítez

2021

Sensors

View full text Add to dashboard Cite

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.

show abstract

“…This evolution cuts across various industry sectors including supply chain management, monitoring systems, data analytics, and various feedback loops. The Industrial Internet of Things (IIoT) is one of such moves where IoT is augmented with intelligent and big data analytics for enhancing industrial processes [2]. Unlike with IoT systems where certain margin for error could be tolerable, with IIoT, the margin for errors is extremely low, given the high level of sensitivity and precision with which such operations and processes must be handled.…”

Section: Introductionmentioning

confidence: 99%