Managing one of the Largest IOT Systems in the World’
Manuel Martin Marquez, Senior Project Leader, CERN
1-2pm 27th Nov 2019
Abstract
CERN’s particle accelerator control systems produce more than 2.5 TB of data per day from more than 2 million heterogeneous signals. This IoT system and data is used by scientists and engineers to monitor magnetic field strengths, temperatures, and beam intensities among many other parameters to determine if the equipment is operating correctly. These critical data management and analytics tasks represent important challenges for the organization, and key technologies including big data, machine learning/AI, IoT, and autonomous data warehouses, coupled cloud-based models, can radically optimize the operations.
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Short Bio
Manuel's career has been focused on supporting large scientific collaborations through technological innovation. At CERN, as part of the Beams and Information Technology Departments and the openlab collaboration, he has led critical data-management, big data and machine-learning initiatives, which have helped to improve the operations and control of largest and most complex scientific instrument ever built (CERN’s LHC). In addition, he has collaborated with NASA-JPL, Fermilab (U.S. Dept. of Energy) and GSI, among others. He has contributed, as a guest lecturer, to Executive Programs at ESADE Business School, and has advised companies such as Oracle, BMW, Caixa, Gassco, ENI, UPS.