CERN Openlab Workshop on Data Analytics Use Cases

Europe/Zurich
31-3-004 (CERN)

31-3-004

CERN

Afternoon Session: IT-Amphitheatre, (31-3-004)
Alberto Di Meglio (CERN) , Eric Grancher (CERN) , Manuel Martin Marquez (CERN)
Description
During the past decades, CERN has been gathering enormous amounts of data. We cannot obviate that most of the times this process is costly in terms of technical and human resources. It is a fact, however, that the exploitation of the collected data, or in other words, the extraction of potential benefits from our data investments, has been pushed into the background or has been placed on the bottom of our priorities. Data is the new soil and therefore it requires nurturing, enriching and managing. Obviously this will require additional efforts but at the same time it is clear that those efforts will generate important value. Within this context, the CERN openlab is working on defining the major ICT Challenges that the Experiments and the LHC engineering teams will have to face in the coming years leading up to run 2. One of the Challenges identified is focused on the use of Data Analytics methods and technologies to address large scale data and metadata analysis. This workshop represents an opportunity to collect information about how Data Analytics is already used at CERN or planned to be used, what use cases are of interest within CERN and what technologies exist today. This information will provide input to the discussion about activities and priorities for the current and next phase of the CERN Openlab collaborations. As part of the workshop, a special open session has been organized to hear about Data Analytics from invited guests to complement the well establish collaboration with Oracle and Siemens. This session will provide the opportunity to hear from Intel, SAS and Cityzen Data about their best methods and current tools in different data analytics applications and will take place in the IT Amphitheatre from 14:00 to 16:00.
Videoconference Rooms
CERN-openlab_Workshop_on_Data_Analytics_Use_Cases
Name
CERN-openlab_Workshop_on_Data_Analytics_Use_Cases
Description
During the past decades, CERN has been gathering and storing enormous amount of data. We cannot obviate that most of the times this process is costly in terms of technical and human resources. It is a fact, however, that the exploitation of the collected data, in other words, the extraction of potential benefits from our data investments, has been pushed into the background or has been placed on the bottom of our priorities. Data is the new soil and therefore it requires nurturing, enriching and managing. Obviously this will require additional efforts but at the same time it is clear that those efforts will generate important value. Within this context, the CERN openlab is working on defining the major ICT Challenges that the Experiments and the LHC engineering teams will have to face in the coming years leading up to run 2. One of the Challenges identified is focused on the use of Data Analytics methods and technologies to address large scale data and metadata analysis. This workshop represents an opportunity to collect information about how Data Analytics is already used at CERN or planned to be used, what use cases are of interest within CERN at large and what technologies exist today. This information will provide input to the discussion about activities and priorities for the current and next phase of the CERN openlab collaborations.
Extension
109282578
Owner
Manuel Martin Marquez
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Useful links
Phone numbers
    • 09:00 10:15
      Data Analytics Use Cases: Current Work and Results 31-3-004

      31-3-004

      CERN

      Afternoon Session: IT-Amphitheatre, (31-3-004)
      • 09:00
        Openlab and Data Analytics Challenges: Present and Future 15m
        Speakers: Dr. Alberto Di Meglio (CERN) , Manuel Martin Marquez (CERN) , Mr. Stefano Alberto Russo (CERN)
      • 09:15
        Introduction to Complex Event Processing (CEP) with Esper 15m
        Speaker: Luca Magnoni (CERN)
        Slides
      • 09:30
        Surveillance of CERN Accelerator Logging Processes with CEP and Esper 15m
        http://prezi.com/rfxiq4vxbx_v/surveillance-of-cern-accelerator-logging-processes
        Speaker: Lukasz Burdzanowski (CERN)
        Slides
      • 09:45
        Intelligent monitoring and real-time analytics for ATLAS-TDAQ: a CEP-based solution 15m
        Speaker: Gabriel Anders (CERN)
        Slides
      • 10:00
        Control System Data Analysis Current Issues and Solution 15m
        Speakers: Mr. Axel Voitier (CERN) , Filippo Maria Tilaro (CERN) , Manuel Gonzalez Berges (CERN)
        Slides
    • 10:15 10:30
      Coffee Break 15m 31-3-004

      31-3-004

      CERN

      Afternoon Session: IT-Amphitheatre, (31-3-004)
    • 10:30 12:15
      Data Analytics: Future Challenges 31-3-004

      31-3-004

      CERN

      Afternoon Session: IT-Amphitheatre, (31-3-004)
      • 10:30
        Simplifying Accelerator Data Analysis 15m
        Speaker: Chris Roderick (CERN)
        Slides
      • 10:45
        The ATLAS distributed data management: Data analytic use cases & experiences 15m
        Speaker: Vincent Garonne (CERN)
        Slides
      • 11:00
        Intelligent data placement models for the CMS experiment 15m
        Speaker: Dr. Domenico Giordano (CERN)
        Slides
      • 11:15
        Analytics in IT Monitoring 15m
        Speakers: Miguel Coelho dos Santos (CERN) , Pedro Andrade (CERN)
        Slides
      • 11:30
        Data analytics in Network Monitoring 15m
        Speaker: Dr. Simone Campana (CERN)
        Slides
      • 11:45
        Data Analytics in CASTOR 15m
        Speakers: Massimo Lamanna (CERN) , Sebastien Ponce (CERN) , Mr. Stefano Alberto Russo (CERN)
        Slides
      • 12:00
        Control System Data Analysis Future Vision 15m
        Speakers: Mr. Axel Voitier (CERN) , Filippo Maria Tilaro (CERN) , Manuel Gonzalez Berges (CERN)
        Slides
    • 14:00 15:45
      Data Analytics: Ideas from Software Vendors IT-Amphitheatre, (31-3-004)

      IT-Amphitheatre, (31-3-004)

      CERN

      • 14:00
        Hadoop as foundation for scientific data analytics 30m 31-3-004

        31-3-004

        CERN

        http://hadoop.intel.com/videos/surfing-big-data-with-intel-distribution http://hadoop.intel.com/videos/intel-distribution-pecan-street
        Speaker: Dr. Bernard Doering (Intel)
      • 14:30
        Analytics technology and architecture to manage velocity and variety, discover relationships and classify huge amount of data 30m 31-3-004

        31-3-004

        CERN

        Speaker: Dr. Maurizio Salusti (SAS)
        Slides
      • 15:00
        Coffee Break 15m 31-3-004 (CERN)

        31-3-004

        CERN

      • 15:15
        An efficient platform for sensor data storage and manipulation 30m 31-3-004

        31-3-004

        CERN

        Speaker: Dr. Mathias Herberts (Cityzen Data)
        Slides