The design of a distributed key-value store for petascale hot storage in data acquisition systems
Creators
- 1. European Laboratory for Particle Physics, CERN, Geneva 23, CH-1211 (Switzerland)
- 2. Intel Technology Poland, ul. Slowackiego 173, 80-298 Gdansk (Poland)
- 3. Argonne National Laboratory 9700 S. Cass Avenue, IL 60439, Argonne (United States)
Description
Data acquisition systems for high energy physics experiments readout terabytes of data per second from a large number of electronic components. They are thus inherently distributed systems and require fast online data selection, otherwise requirements for permanent storage would be enormous. Still, incoming data need to be buffered while waiting for this selection to happen. Each minute of an experiment can produce hundreds of terabytes that cannot be lost before a selection decision is made. In this context, we present the design of DAQDB (Data Acquisition Database) — a distributed key-value store for high-bandwidth, generic data storage in event-driven systems. DAQDB offers not only high-capacity and low-latency buffer for fast data selection, but also opens a new approach in high-bandwidth data acquisition by decoupling the lifetime of the data analysis processes from the changing event rate due to the duty cycle of the data source. This is achievable by the option to extend its capacity even up to hundreds of petabytes to store hours of an experiment's data. Our initial performance evaluation shows that DAQDB is a promising alternative to generic database solutions for the high luminosity upgrades of the LHC at CERN.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_01014.pdf; https://doaj.org/article/01d7d50d73da43498c9f9c4a41420c46Additional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 214
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 23. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2018
- Dates
- 9-13 Jul 2018
- Place
- Sofia (Bulgaria)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53095605
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CERN LHC; DATA ACQUISITION; DATA ACQUISITION SYSTEMS; DATA ANALYSIS; DESIGN; HIGH ENERGY PHYSICS; LUMINOSITY; PERFORMANCE; READOUT SYSTEMS
- Descriptors DEC
- ACCELERATORS; CYCLIC ACCELERATORS; DATA PROCESSING; OPTICAL PROPERTIES; PHYSICAL PROPERTIES; PHYSICS; PROCESSING; STORAGE RINGS; SYNCHROTRONS