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Fault Management Cyber-Physical Systems in Virtual Storage Model

Kailash Kumar*, Ahmad Abdullah Aljabr

College of Computing and Informatics, Saudi Electronic University, Riyadh, 11673, Kingdom of Saudi Arabia

* Corresponding Author: Kailash Kumar. Email: email

Computers, Materials & Continua 2022, 70(2), 3781-3801. https://doi.org/10.32604/cmc.2022.020510

Abstract

On average, every two years, the amount of data existing globally doubles. Software development will be affected and improved by Cyber-Physical Systems (CPS). The number of problems remained even though developments helped Information Technology experts extract better value from their storage investments. Because of poor interoperability between different vendors and devices, countless numbers of Storage Area Networks were created. Network setup used for data storage includes a complex and rigid arrangement of routers, switch, hosts/servers, storage arrays. We have evaluated the performance of routing protocol Transmission Control Protocol (TCP) and Fibre Channel Protocol (FCP) under different network scenario by Network Simulator (NS)-3 Simulation. We simulated the Node Failure and Network Congestion issue with DoS attacks and a counter effect on the Packet Distribution Ratio and End-to-End Delay efficiency metrics with different nodes and speed of node mobility. The study is performed for the Simple Network Management Protocol (SNMP) on FCP routing. The results proved that the proposed method isolates the malicious and congested nodes and improves the Network’s performance.

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APA Style
Kumar, K., Aljabr, A.A. (2022). Fault management cyber-physical systems in virtual storage model. Computers, Materials & Continua, 70(2), 3781-3801. https://doi.org/10.32604/cmc.2022.020510
Vancouver Style
Kumar K, Aljabr AA. Fault management cyber-physical systems in virtual storage model. Comput Mater Contin. 2022;70(2):3781-3801 https://doi.org/10.32604/cmc.2022.020510
IEEE Style
K. Kumar and A.A. Aljabr, “Fault Management Cyber-Physical Systems in Virtual Storage Model,” Comput. Mater. Contin., vol. 70, no. 2, pp. 3781-3801, 2022. https://doi.org/10.32604/cmc.2022.020510



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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