Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network

作者：Matías Bonaventura, Daniel Foguelman, Rodrigo Castro · 发表于：Computing in Science & Engineering · 年份：2016 · DOI：10.1109/mcse.2016.58 · 被引用次数：20 · 研究领域：Simulation Techniques and Applications、Distributed and Parallel Computing Systems、Network Traffic and Congestion Control

The authors present an iterative and incremental development methodology for simulation models in network engineering projects. Driven by the DEVS (Discrete Event Systems Specification) formal framework for modeling and simulation, they aim to assist network design, test, analysis, and optimization processes. A practical application of the methodology is presented for a case study in the data acquisition system of the ATLAS particle physics experiment at CERN's Large Hadron Collider at CERN. By adopting the DEVS M&S formal framework in combination with software engineering best practices, the authors develop network simulation models along with enhanced modeling capabilities and boosted simulation performance for tools in a robust yet flexible way.