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ALICE DAQ Architecture Evolution: Prototyping for Cutting-Edge Technology Integration

Explore how ALICE DAQ architecture adapts to evolving needs with prototypes, interfaces, and testing for advanced detectors and technologies. Learn how collaboration drives continuous refinement.

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ALICE DAQ Architecture Evolution: Prototyping for Cutting-Edge Technology Integration

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  1. ALICE DAQ architecture • Main requirements agreed upon and architectural model defined • System decomposed into independent components with clear interfaces • Components are functional building blocks (hardware or software) • No final technology choices done now • BUT: the architecture cannot be static and cannot be paperware only • Requirements and needs are evolving • More refined ideas on the physics • New detectors added • Technology is evolving even faster • Architecture must be verified very early and refined continuously

  2. ALICE DAQ community • Get the people involved and informed • Critical hardware and software interfaces defined with the detectors groups • Show the progress on paper and by prototyping • Get the feed-back from the collaboration • The collaboration has also important needs today • Interface and test other subsystems (front-end electronics to Trigger or DAQ e.g.) • Test beams or current fixed target experiments • Start the integration as soon as possible

  3. ALICE DAQ prototyping • Components prototypes done or being done of each component • Detector Data Link (DDL) and Readout Receiver Card (RORC) • DATE (Data Acquisition and Test Environment) • Frameworks for DATE readout and monitoring programs • Online monitoring using ROOT • EBDS (Event Building and Distribution System) • Mass storage systems: HPSS, Castor, Eurostore, • Components prototypes and technologies exposed to real applications • DDL and RORC used for TPC test beam • DATE used for most ALICE test beams, NA57 (ALICE ITS), NA58 (Compass) • HPSS used to store the raw data • System prototyped by integration of components prototypes • In the lab and then dedicated simulated runs (ALICE Data Challenges)

  4. Conclusions • Good architecture is essential but it is not enough • Current and future deliverables and milestones are very important as well • Candidate technologies and components must be stress-tested on the field (links, memories, CPUs, OS, switching networks etc.) • Most of the components have a working prototype now • Used for DAQ developments and for detectors groups tests • Feedback from the collaboration • Establish reference points for future comparison • Refine the architecture design and the components implementation by an iterative process

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