ATLAS Analytics
Overview
The ATLAS Analytics effort is focused on creating systems which provide ATLAS Distributed Computing (ADC) with new capabilities for understanding distributed systems and overall operational performance. These capabilities include:
- Correlate information from multiple systems (PanDA, Rucio, FTS, Dashboards, Tier0, PilotFactory, ...)
- Predictive Analytics: Execute arbitrary data mining or machine learning algorithms over raw and aggregated data
- Ability to host new third party analytics services on a scalable compute platform
- Satisfy variety of use cases for different user roles for ad-hoc analytics
- Provide an open platform with documented collections and tools to broaden participation in ADC Analytics.
Organisation
Data collection
Data visualization
Data analysis
- Go here to see all notebooks of the ATLASMINER JIRA tickets
- Other available general purpose Jupyter servers
Completed notebooks
- For a given RSE, show the size vs. age distribution Link
Dedicated projects
Tutorials and How-To's
Related efforts
- WLCG Machine Learning Demonstrator Indico
- IT Analytics Working Group Indico
, TWiki
- WLCG Analytics Platform TWiki
Attic
Historical information goes into the
ATLASAnalyticsAttic.
Major updates:
--
IlijaVukotic - 2014-11-11
--
MarioLassnig - 2016-06-08
Responsible:
IlijaVukotic,
MarioLassnig
Last reviewed by:
Never reviewed