Development of Status Analysis System Based on ELK Stack at J-PARC MLF
| Autor: | Moriyama, Kentaro, Nakatani, Takeshi, Ohshita, Hidetoshi, Tomohiro, Seya, Yasu, Yoshiji |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| DOI: | 10.18429/jacow-icalepcs2017-thpha033 |
| Popis: | In recent neutron scattering experiments, a large quantity and various kinds of experimental data are generated. In J-PARC MLF, it is possible to conduct many experiments under various conditions in a short time with high-intensity neutron beam and high-performance neutron instruments with a wealth of sample environmental equipment. Therefore, it is required to make an efficient and effective data analysis. Additionally, since it has been almost nine years from the beginning of operation in MLF, there are many equipment and system being up for renewal resulting in failure due to aging degradation. Since such kind of failure can lose precious beam time, failure or its sign should be early detected. MLF status analysis system based on the Elasticsearch, Logstash and Kibana (ELK) Stack, which is one of the web-based framework rapidly growing for big data analysis, ingests various data from neutron instruments in real time. It realizes to gain insight for decision-making such as data analysis and experiment as well as instrument maintenance by flexible user-based analysis and visualization. In this paper, we will report the overview and development status of our status analysis system. Proceedings of the 16th Int. Conf. on Accelerator and Large Experimental Control Systems, ICALEPCS2017, Barcelona, Spain |
| Databáze: | OpenAIRE |
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