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RIS citation export for WED3O06: Data Streaming - Efficient Handling of Large and Small (Detector) Data at the Paul Scherrer Institute

TY - UNPB
AU - Ebner, S.G.
AU - Billich, H.R.
AU - Brands, H.
AU - Panepucci, E.H.
AU - Sala, L.
ED - Corvetti, Lou
ED - Riches, Kathleen
ED - Schaa, Volker RW
TI - Data Streaming - Efficient Handling of Large and Small (Detector) Data at the Paul Scherrer Institute
J2 - Proc. of ICALEPCS2015, Melbourne, Australia, 17-23 October 2015
C1 - Melbourne, Australia
T2 - International Conference on Accelerator and Large Experimental Physics Control Systems
T3 - 15
LA - english
AB - For the latest generation of detectors transmission, persistence and reading of data becomes a bottleneck. Following the traditional pattern acquisition-persistence-analysis leads to a massive delay before information on the data is available. This prevents the efficient use of beamtime for users. Also, sometimes, single nodes cannot keep up in receiving and persisting data. PSI is breaking up with the traditional data acquisition paradigm for its detectors and is focusing on data streaming, to address these issues. Data is immediately streamed out directly after acquisition. The resulting stream is either retrieved by a node next to the storage to persist the data, or split up to enable parallel persistence, as well as online processing and monitoring. The concepts, designs, and software involved in the current implementation for the Pilatus, Eiger , PCO Edge and Gigafrost detectors at SLS, as well as what we are going to use for the Jungfrau detector and the whole beam synchronous data acquisition system at SwissFEL, will be shown. It will be shown how load-balancing, scalability, extensibility and immediate feedback are achieved, while reducing overall software complexity.
PB - JACoW
CP - Geneva, Switzerland
ER -