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Discrete Event System Simulation

📅 Published: March 4, 2024 👤 J. Vijayarangam, Santosh Kumar Kamalakannan, R. Sebasthi Priya 📖 BENTHAM SCIENCE PUBLISHERS eBooks 📊 1,040 citations
AI-Generated Summary

Simulated systems are used for modelling and analysis of systems for which an analytical solution is either not accessible or difficult to achieve. Because it is simpler than conventional approaches, which are often challenging, simulation is also chosen as a method of system analysis.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Simulation is a highly flexible and adaptable discipline within computer science.
  • 2 Because it is simpler than conventional approaches, which are often challenging, simulation is also chosen as a method of system analysis.
  • 3 Because of this, simulation is an area with extensive application and demand, making it interesting and beneficial to have a chapter dedicated to researching simulation with a case study of modelling a Queuing system.
Why It Matters

This work deepens our understanding of the fundamental laws governing the universe, from subatomic particles to cosmic structures.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category ⚛️ Physics & Space Science
Published Mar 4, 2024
Journal BENTHAM SCIENCE PUBLISHERS eBooks
DOI 10.2174/9789815179514124010007
Citations 1,040
Authors J. Vijayarangam, Santosh Kumar Kamalakannan, R. Sebasthi Priya