Name: CERN Openlab Workshop on Data Analytics Use Cases
Start: 2013-11-20T09:00:00+01:00
End: 2013-11-20T15:45:00+01:00
Location: CERN

CERN Openlab Workshop on Data Analytics Use Cases

Wednesday, November 20, 2013 - 9:00 AM

Monday, November 18, 2013
Tuesday, November 19, 2013
Wednesday, November 20, 2013
9:00 AM Current Work and Results
Current Work and Results
9:00 AM - 10:15 AM
Room: 31-3-004
Contributions

9:00 AM Openlab and Data Analytics Challenges: Present and Future - Alberto Di Meglio (CERN) Manuel Martin Marquez (CERN) Stefano Alberto Russo (CERN)

9:15 AM Introduction to Complex Event Processing (CEP) with Esper - Luca Magnoni (CERN)

9:30 AM Surveillance of CERN Accelerator Logging Processes with CEP and Esper - Lukasz Burdzanowski (CERN)

9:45 AM Intelligent monitoring and real-time analytics for ATLAS-TDAQ: a CEP-based solution - Gabriel Anders (CERN)

10:00 AM Control System Data Analysis Current Issues and Solution - Axel Voitier (CERN) Filippo Maria Tilaro (CERN) Manuel Gonzalez Berges (CERN)
10:15 AM Coffee Break
Coffee Break
10:15 AM - 10:30 AM
Room: 31-3-004
10:30 AM
10:30 AM - 12:15 PM
Room: 31-3-004
Contributions

10:30 AM Simplifying Accelerator Data Analysis - Chris Roderick (CERN)

10:45 AM The ATLAS distributed data management: Data analytic use cases & experiences - Vincent Garonne (CERN)

11:00 AM Intelligent data placement models for the CMS experiment - Domenico Giordano (CERN)

11:15 AM Analytics in IT Monitoring - Miguel Coelho dos Santos (CERN) Pedro Andrade (CERN)

11:30 AM Data analytics in Network Monitoring - Simone Campana (CERN)

11:45 AM Data Analytics in CASTOR - Massimo Lamanna (CERN) Sebastien Ponce (CERN) Stefano Alberto Russo (CERN)

12:00 PM Control System Data Analysis Future Vision - Axel Voitier (CERN) Filippo Maria Tilaro (CERN) Manuel Gonzalez Berges (CERN)
2:00 PM
2:00 PM - 3:45 PM
Room: IT-Amphitheatre, (31-3-004)
Contributions

2:00 PM Hadoop as foundation for scientific data analytics - Bernard Doering (Intel)

2:30 PM Analytics technology and architecture to manage velocity and variety, discover relationships and classify huge amount of data - Maurizio Salusti (SAS)

3:15 PM An efficient platform for sensor data storage and manipulation - Mathias Herberts (Cityzen Data)

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