May 24 – 28, 2021
America/Vancouver timezone

Design of a resilient, high-throughput, persistent storage system for the ATLAS Phase-II DAQ system

May 27, 2021, 5:00 AM
Poster Readout: Trigger and DAQ Posters: Trigger and DAQ


Adam Abed Abud (University of Liverpool (GB))


The ATLAS experiment will undergo a major upgrade to adapt to the HL-LHC. The Trigger and Data Acquisition system (TDAQ) will record data at unprecedented rates: detectors will be read out at 1 MHz generating around 5 TB/s of data. Within TDAQ the Dataflow system (DF) introduces a novel design: readout data are buffered on persistent storage while the event filtering system selects 10 kHz of events for a total throughput of around 60 GB/s. New challenges arise for DF to design and implement a distributed, reliable, persistent storage system supporting several TB/s of aggregated throughput while providing tens of PB of capacity. In this paper after describing some of these challenges we present the ongoing R&D to address each of them: data safety, indexing at high rates in a distributed system, and high-performance management of storage capacity. Finally the performance achieved with a working prototype is shown.

TIPP2020 abstract resubmission? No, this is an entirely new submission.

Primary authors

Andrei Kazarov (NRC Kurchatov Institute PNPI (RU)) Adam Abed Abud (University of Liverpool (GB))

Presentation materials