Enabling Software Defined Networking for Industry 4.0 Using OpenStack

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Abstract

Industry 4.0 refers to the fourth generation of advancements in Manufacturing that enables data driven processes, Predictive maintenance, Lights-Out Manufacturing among others. Industry 4.0 comprises of elements from Cyber Physical Systems, Industrial IoT, Big data, Cloud Computing, AI and ML. However, Networking at the which is at the heart of these technologies has not had a major improvement, we wish to address this in this paper. The goal of this paper is to highlight the challenges in the current networking infrastructure for Industry 4.0 and propose a new standard for networking in Industry 4.0. Software Defined Networking is a emerging technology in the field of networking which provides for a centralised Control Plane and enables Network Function Virtualisation for Industry 4.0. OpenFlow Stack is used for building the solution. The outcomes of the paper include: Provide an SDN Architecture for the above system. Different zones have to be integrated to provide the ability for Centralized Control plane without compromising confidentiality. The system should be scalable for widespread deployment across multiple plants and manufacturers. This project deals with design and development of a Software Defined Networking (SDN) architecture for Industry 4.0, which involves integration of various components of OpenStack and openFlow. In this project, we identify the limitations and gaps in the current networking architecture for Industry 4.0 and propose a solution for the same. The openstack implementation of the project is done, Different Results of the implementation and its advantages are discussed along with scope for future implementation. This addresses a key challenge in Networking for Industry 4.0.

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APA

Gowripeddi, V. V., Ganesan, N., Shailendra, S., Thangaraju, B., & Bapat, J. (2021). Enabling Software Defined Networking for Industry 4.0 Using OpenStack. In Advances in Intelligent Systems and Computing (Vol. 1231 AISC, pp. 588–602). Springer. https://doi.org/10.1007/978-3-030-52575-0_49

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