| Article | |
| Title | Analyzing, Identifying & Alerting on Network Issues |
| Author(s) | Vasileva, Petya (Michigan U. ; Plovdiv U.) ; Babik, Marian (CERN) ; McKee, Shawn (Michigan U.) ; Vukotic, Ilija (Chicago U.) |
| Publication | 2024 |
| Number of pages | 8 |
| In: | EPJ Web Conf. 295 (2024) 07003 |
| In: | 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.07003 |
| DOI | 10.1051/epjconf/202429507003 |
| Subject category | Computing and Computers |
| Abstract | The Worldwide LHC Computing Grid (WLCG) relies on the network as a critical part of its infrastructure and therefore needs to guarantee effective network usage and prompt detection and resolution of any network issues, including connection failures, congestion, and traffic routing. In this paper, we will describe our ongoing work to proactively analyze, correlate and alert on various network and infrastructure issues. We will discuss the methods and techniques applied, the systems developed, and the challenges with the measurements that make it difficult to easily identify problems or assign those problems to the appropriate location(s). |
| Copyright/License | publication: © 2024-2025 The authors (License: CC-BY-4.0) |
Corresponding record in: Inspire
Element opprettet 2024-12-13, sist endret 2024-12-14
