Predicting the performance of various infrastructure design options in complex federated infrastructures with computing sites distributed over a wide area network that support a plethora of users and workflows, such as the Worldwide LHC Computing Grid (WLCG), is not trivial. Due to the complexity and size of these infrastructures, it is not feasible to deploy experimental test-beds at large scales merely for the purpose of comparing and evaluating alternate designs. An alternative is to study the behaviours of these systems using simulation. This approach has been used successfully in the past to identify efficient and practical infrastructure designs for High Energy Physics (HEP). A prominent example is the Monarc simulation framework, which was used to study the initial structure of the WLCG. New simulation capabilities are needed to simulate large-scale heterogeneous computing systems with complex networks, data access and caching patterns. A modern tool to simulate HEP workloads that execute on distributed computing infrastructures based on the SimGrid and WRENCH simulation frameworks is outlined. Studies of its accuracy and scalability are presented using HEP as a case-study. Hypothetical adjustments to prevailing computing architectures in HEP are studied providing insights into the dynamics of a part of the WLCG and candidates for improvements.
@article{arxiv.2403.14903,
title = {Modeling Distributed Computing Infrastructures for HEP Applications},
author = {Maximilian Horzela and Henri Casanova and Manuel Giffels and Artur Gottmann and Robin Hofsaess and Günter Quast and Simone Rossi Tisbeni and Achim Streit and Frédéric Suter},
journal= {arXiv preprint arXiv:2403.14903},
year = {2024}
}
Comments
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)