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TY - CONF AU - Borghes, R. AU - Billè, F. AU - Chenda, V. AU - Kourousias, G. AU - Prica, M. ED - White, Karen S. ED - Brown, Kevin A. ED - Dyer, Philip S. ED - Schaa, Volker RW TI - DonkiOrchestra: A Software Trigger-Driven Framework for Data Collection and Experiment Management Based on Zeromq Distributed Messaging J2 - Proc. of ICALEPCS2019, New York, NY, USA, 05-11 October 2019 CY - New York, NY, USA T2 - International Conference on Accelerator and Large Experimental Physics Control Systems T3 - 17 LA - english AB - Synchrotron end-stations consist of a complex network of devices. The setup is not static and is often upgraded. The data acquisition systems are constantly challenged by such changes and upgrades, so scalability and flexibility are crucial skills. DonkiOrchestra is a ZeroMQ-based framework for data acquisition and experiment control based on an advanced software trigger-driven paradigm. In the DonkiOrchestra approach a software device, referred to as Director, provides the logical organization of the experiment as a sequential workflow relying on triggers. Each software trigger activates a set of Actor devices that can be hierarchically organized according to different priority levels. Data acquired by the Actors is tagged with the trigger number and stored in HDF5 archives. The intrinsic asynchronicity of ZeroMQ maximizes the opportunity of performing parallel operations and sensor readouts. This paper describes the software architecture behind DonkiOrchestra, which is fully configurable and scalable, so it can be reused on multiple endstations and facilities. Furthermore, experimental applications at Elettra beamlines and future developments are presented and discussed. PB - JACoW Publishing CP - Geneva, Switzerland SP - 1575 EP - 1579 KW - experiment KW - software KW - controls KW - operation KW - framework DA - 2020/08 PY - 2020 SN - 2226-0358 SN - 978-3-95450-209-7 DO - doi:10.18429/JACoW-ICALEPCS2019-THBPP02 UR - https://jacow.org/icalepcs2019/papers/thbpp02.pdf ER -