The distributed Grid infrastructure for High Energy Physics experiments at the Large Hadron Collider (LHC) in Geneva comprises a set of computing centres, spread all over the world, as part of the Worldwide LHC Computing Grid (WLCG). In Italy, the Tier-1 functionalities are served by the INFN-CNAF data center, which provides also computing and storage resources to more than twenty non-LHC experiments. For this reason, a high amount of logs are collected each day from various sources, which are highly heterogeneous and difficult to harmonize. In this contribution, a working implementation of a system that collects, parses and displays the log information from CNAF data sources and the investigation of a Machine Learning based predictive maintenance system, is presented.
@article{arxiv.2106.02612,
title = {Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre},
author = {Tommaso Diotalevi and Antonio Falabella and Barbara Martelli and Diego Michelotto and Lucia Morganti and Daniele Bonacorsi and Luca Giommi and Simone Rossi Tisbeni},
journal= {arXiv preprint arXiv:2106.02612},
year = {2021}
}
Comments
Submitted to proceedings of International Symposium on Grids & Clouds 2019 (ISGC2019)