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Streaming Readout and Data-Stream Processing With ERSAP.
- Source :
-
EPJ Web of Conferences . 5/6/2024, Vol. 295, p1-6. 6p. - Publication Year :
- 2024
-
Abstract
- With the exponential growth in the volume and complexity of data generated at high-energy physics and nuclear physics research facilities, there is an imperative demand for innovative strategies to process this data in real or near-real-time. Given the surge in the requirement for high-performance computing, it becomes pivotal to reassess the adaptability of current data processing architectures in integrating new technologies and managing streaming data. This paper introduces the ERSAP framework, a modern solution that synergizes flow-based programming with the reactive actor model, paving the way for distributed, reactive, and high performance in data stream processing applications. Additionally, we unveil a novel algorithm focused on time-based clustering and event identification in data streams. The efficacy of this approach is further exemplified through the data-stream processing outcomes obtained from the recent beam tests of the EIC prototype calorimeter at DESY. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21016275
- Volume :
- 295
- Database :
- Academic Search Index
- Journal :
- EPJ Web of Conferences
- Publication Type :
- Conference
- Accession number :
- 177902281
- Full Text :
- https://doi.org/10.1051/epjconf/202429502025