Open Access

ARTICLE

Performance Assessment and Configuration Analysis in the Study of SCADA System (Supervisory Control and Data Acquisition)

by R. Vanalakshmi¹, S. Maragathasundari^1,*, M. Kameswari¹, B. Balamurugan², C. Swedheetha³

1 Department of Mathematics, Kalasalingam Academy of Research and Education, Krishnankoil, 626126, India
2 Department of Mathematics, Velammal Institute of Technology, Chennai, 601204, India
3 Department of Electronics and Communication Engineering, Anna University, Madurai, 625019, India

* Corresponding Author: S. Maragathasundari. Email:

Intelligent Automation & Soft Computing 2023, 37(2), 1399-1419. https://doi.org/10.32604/iasc.2023.038506

Received 15 December 2022; Accepted 28 February 2023; Issue published 21 June 2023

Abstract

Queuing models are used to assess the functionality and aesthetics of SCADA systems for supervisory control and data collection. Here, the main emphasis is on how the queuing theory can be used in the system’s design and analysis. The analysis’s findings indicate that by using queuing models, cost-performance ratios close to the ideal might be attained. This article discusses a novel methodology for evaluating the service-oriented survivability of SCADA systems. In order to evaluate the state of service performance and the system’s overall resilience, the framework applies queuing theory to an analytical model. As a result, the SCADA process is translated using the M^X/G/1 queuing model, and the queueing theory is used to evaluate this design’s strategy. The supplemental variable technique solves the queuing problem that comes with the subsequent results. The queue size, server idle time, utilization, and probabilistic generating factors of the distinct operating strategies are estimated. Notable examples were examined via numerical analysis using mathematical software. Because it is used frequently and uses a statistical demarcation method, this tactic is completely acceptable. The graphical representation of this perspective offers a thorough analysis of the alleged limits.

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Keywords

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