Pulse Brain · Growing Health Evidence Index
Peer-reviewed

OMS Data Aggregation and Management in the CMS Experiment

Jaafar Alawieh, Kareen Arutjunjan, Miguel Bacharov Durasov, U. Behrens, A. Bocci, J. G. Branson, Philipp Brummer, Jan Andrzej Bugajski, E. Cano, Sergio Cittolin, Albert Corominas I Mariscot, Georgiana-Lavinia Darlea, Christian Deldicque, Marc Dobson, Antonı́n Dvořák, Christos Emmanouil, Antra Gaile, D. Gigi, F. Glege, G. Gomez Ceballos, Patrycja Gorniak, J. Hegeman, Guillermo Izquierdo Moreno, T. James, Tejeswini Jayakumar, Wassef Karimeh, Dimitra Kostala, R. D. Krawczyk, Wei Li, K. Long, Frans Meijers, E. Meschi, Srećko Morović, Babatunde John Odetayo, L. Orsini, Christoph Paus, Andrea Petrucci, M. Pieri, Dinyar Sebastian Rabady, A. Rácz, Theodoros Rizopoulos, Hannes Sakulin, Christoph Schwick, Dainius Šimelevičius, P. Tzanis, Cristina Vazquez Velez, P. Zejdl

EPJ Web of Conferences · 2025

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Summary

The Online Monitoring System (OMS) at the Compact Muon Solenoid (CMS) experiment at CERN collects and combines various non-event data sources, allowing users to view, compare, and correlate real-time and historical information. The OMS data warehouse (DWH) constitutes the foundation of the Online Monitoring System (OMS) architecture within CMS, responsible for the storage and manipulation of non-event data within ORACLE databases. Using PL/SQL code, the DWH orchestrates the data aggregation and processing from several sources, inheriting and revamping code from a previous project known as Web Based Monitoring (WBM) to meet evolving requirements. The main goals of the WBM databases restructuring were: the modernization of inherited PL/SQL code, necessitating the creation of new aggregation

Source type
Peer-reviewed study
DOI
10.1051/epjconf/202533701132
Catalogue ID
BFmoakviqe-m9exd0
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