EPICS Data Streaming and HDF File Writing for ESS Benchmarked Using the Virtual AMOR Instrument

Werder, Dominik; Akeroyd, Frederick; Brambilla, Michele; Clarke, M. J.; Jones, M. D.; Koennecke, Mark; Mukai, A.; Nilsson, Jens; Richter, Tobias

doi:10.18429/jacow-icalepcs2017-thpha167

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the File Writer exposes some parameters for fine tuning in order to achieve the best performance. On a server with Kafka messages preloaded in RAM, a single process approach sustains about 1.2 GB/s, while a parallelised implementation using Message Passing Interface (MPI) [20] can reach about 4.8 GB/s; a broad discussion on the writing performances can be found in [21], including the effects of chunking, message size and buffering.…”

Section: Integration Testsmentioning

confidence: 99%

Architecture of the data aggregation and streaming system for the European Spallation Source neutron instrument suite

Mukai¹,

Clarke²,

Nilsson³

et al. 2018

J. Inst.

View full text Add to dashboard Cite

A: The European Spallation Source (ESS) will provide long neutron pulses for experiments on a suite of different instruments. Most of these will perform neutron data acquisition in event mode, i.e. each detected neutron will be characterised by one absolute timestamp and pixel identifier pair. Slow controls metadata from EPICS, such as sample environment measurements and motor positions, will also be timestamped at their source, so that all data and metadata are streamed as a list of events instead of histograms. A flexible data aggregation and streaming system is being developed combining both open source third-party software and in-house development. This is to be used at ESS and other neutron scattering facilities like ISIS and SINQ, replacing legacy solutions by a shared software collection maintained by a cross-facility effort. The architecture of the Apache Kafka-based system, its metadata forwarding and NeXus file writing components are presented, along with test results demonstrating their integration and the scalability in terms of performance.

show abstract

Section: Integration Testsmentioning

confidence: 99%