Conference item icon

Conference item

A prototype for the evolution of ATLAS EventIndex based on Apache Kudu storage

Abstract:
The ATLAS EventIndex has been in operation since the beginning of LHC Run 2 in 2015. Like all software projects, its components have been constantly evolving and improving in performance. The main data store in Hadoop, based on MapFiles and HBase, can work for the rest of Run 2 but new solutions are explored for the future. Kudu offers an interesting environment, with a mixture of BigData and relational database features, which look promising at the design level. This environment is used to build a prototype to measure the scaling capabilities as functions of data input rates, total data volumes and data query and retrieval rates. In this proceedings we report on the selected data schemas and on the current performance measurements with the Kudu prototype.
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1051/epjconf/201921404057

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Particle Physics
Role:
Author
ORCID:
0000-0002-1259-1034


Publisher:
EDP Sciences
Host title:
EPJ Web of Conferences
Journal:
EPJ Web of Conferences More from this journal
Volume:
214
Article number:
04057
Publication date:
2019-09-17
Acceptance date:
2019-09-17
Event location:
Sofia, Bulgaria
DOI:
EISSN:
2100-014X


Keywords:
Pubs id:
pubs:1053914
UUID:
uuid:7d0d9746-5777-454c-b167-f1daee6aadb9
Local pid:
pubs:1053914
Source identifiers:
1053914
Deposit date:
2019-09-17

Terms of use



Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP