Speaker
Amol Jaikar
(Fermi National Accelerator Laboratory)
Description
Increasing precision in automation for modern particle accelerators not only creates a requirement to gather data from all devices but also demands scalable and high-performance data infrastructure with the capability of handling vast incoming device data. A well architected data lake is suitable for such a system which integrates real-time data acquisition, transient data caching, and long-term storage. This paper evaluates data lake architecture for an Accelerator Control System (ACS), focusing on two critical components of a data lake, data cache and long-term storage.
Author
Amol Jaikar
(Fermi National Accelerator Laboratory)
Co-authors
Anthony Tiradani
(Fermi National Accelerator Laboratory)
Beau Harrison
(Fermi National Accelerator Laboratory)
