Evolution of the data aggregation concepts for STS readout in the CBM Experiment
Wojciech M. Zabo{\l}otny, David Emschermann, Marek Gumi\'nski, and Micha{\l} Kruszewski, J\"org Lehnert, Piotr Miedzik, Walter F.J., M\"uller, Krzysztof Po\'zniak, Ryszard Romaniuk

TL;DR
This paper discusses the evolution of data aggregation concepts for the STS readout in the CBM experiment, focusing on handling data from multiple sources with varying timing and occupancy, influenced by technological advancements.
Contribution
It presents solutions and discusses their properties for data aggregation architecture and algorithms in the evolving context of the CBM experiment's STS readout system.
Findings
Proposed data aggregation solutions considering data randomization and link occupancy.
Analyzed the impact of technological progress on data aggregation requirements.
Discussed properties of different aggregation architectures and algorithms.
Abstract
The STS detector in the CBM experiment delivers data via multiple e-links connected to GBTX ASICs. In the process of data aggregation, that data must be received, combined into a smaller number of streams, and packed into so-called microslices containing data from specific periods. The aggregation must consider data randomization due to amplitude-dependent processing time in the FEE ASICs and different occupancy of individual e-links. During the development of the STS readout, the continued progress in the available technology affected the requirements for data aggregation, its architecture, and algorithms. The contribution presents considered solutions and discusses their properties.
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Taxonomy
TopicsAdvanced Data Storage Technologies · Particle Detector Development and Performance · Distributed and Parallel Computing Systems
