Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 01010 | |
Number of page(s) | 8 | |
Section | T1 - Online computing | |
DOI | https://doi.org/10.1051/epjconf/201921401010 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921401010
DAQBroker - A general purpose instrument monitoring framework
1
CERN
CH-1211
Geneva 23
Switzerland
2
Faculdade de Ciências, Universidade de Lisboa,
Campo Grande 016,
1749-016
Lisboa
3
Universidade da Beira Interior Rua Marquês D’Ávila e Bolama
6201-001
Covilhã
* e-mail: amcbd89@gmail.com
Published online: 17 September 2019
The current scientific environment has experimentalists and system administrators allocating large amounts of time for data access, parsing and gathering as well as instrument management. This is a growing challenge since there is an increasing number of large collaborations with significant amount of instrument resources, remote instrumentation sites and continuously improved and upgraded scientific instruments. DAQBroker is a new software framework adopted by the CLOUD experiment at CERN. This framework was designed to monitor CLOUD’s network of various architectures and operating systems and collect data from any instrument while also providing simple data access to any user. Data can be stored in one or several local or remote databases running on any of the most popular relational databases (MySQL, PostgreSQL, Oracle). It also provides the necessary tools for creating and editing the meta data associated with different instruments, perform data manipulation and generate events based on instrument measurements, regardless of the user’s know-how of individual instruments. This submission will present an overview of each of DAQBroker’s components as well as provide preliminary performance results of the application running on high and low performance machines.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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