Towards a centralized Grid Speedometer

20th International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Dzhunov, I.^1 ; Andreeva, J.^1 ; Fajardo, E.^2 ; Gutsche, O.^3 ; Luyckx, S.^4 ; Saiz, P.^1

CERN, European Organization for Nuclear Research, Switzerland^1

Universidad de Los Andes, Colombia^2

FNAL, Fermi National Accelerator Laboratory, United States^3

University of Antwerp, Belgium^4

关键词: Core functionality;    CPU resources;    Flexible framework;    LHC computing grids;    Production jobs;    Production monitoring;    Virtual organization;    Work-flows;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/513/3/032028/pdf
DOI  :  10.1088/1742-6596/513/3/032028

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Given the distributed nature of the Worldwide LHC Computing Grid and the way CPU resources are pledged and shared around the globe, Virtual Organizations (VOs) face the challenge of monitoring the use of these resources. For CMS and the operation of centralized workflows, the monitoring of how many production jobs are running and pending in the Glidein WMS production pools is very important. The Dashboard Site Status Board (SSB) provides a very flexible framework to collect, aggregate and visualize data. The CMS production monitoring team uses the SSB to define the metrics that have to be monitored and the alarms that have to be raised. During the integration of CMS production monitoring into the SSB, several enhancements to the core functionality of the SSB were required; They were implemented in a generic way, so that other VOs using the SSB can exploit them. Alongside these enhancements, there were a number of changes to the core of the SSB framework. This paper presents the details of the implementation and the advantages for current and future usage of the new features in SSB.