The CMS monitoring infrastructure and applications

被引：5
|
作者：
Ariza-Porras C. [1 ]
Kuznetsov V. [2 ]
Legger F. [3 ]
机构：
[1] CERN, Geneva
[2] Cornell University, Ithaca, NY
[3] Istituto Nazionale di Fisica Nucleare, Via Pietro Giuria 1, Torino
来源：
Computing and Software for Big Science | 2021年 / 5卷 / 1期
基金：
欧盟地平线“2020”;
关键词：
Distributed computing; Monitoring; Real-time; Variety;
D O I：
10.1007/s41781-020-00051-x
中图分类号：
学科分类号：
摘要：
The globally distributed computing infrastructure required to cope with the multi-petabyte datasets produced by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) at CERN comprises several subsystems, such as workload management, data management, data transfers, and submission of users’ and centrally managed production requests. To guarantee the efficient operation of the whole infrastructure, CMS monitors all subsystems according to their performance and status. Moreover, we track key metrics to evaluate and study the system performance over time. The CMS monitoring architecture allows both real-time and historical monitoring of a variety of data sources. It relies on scalable and open source solutions tailored to satisfy the experiment’s monitoring needs. We present the monitoring data flow and software architecture for the CMS distributed computing applications. We discuss the challenges, components, current achievements, and future developments of the CMS monitoring infrastructure. © 2021, The Author(s).
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