| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 04015 | |
| Number of page(s) | 6 | |
| Section | 4 - Data Organisation, Management and Access | |
| DOI | https://doi.org/10.1051/epjconf/202024504015 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024504015
Towards an Intelligent Data Delivery Service
1
University of Wisconsin-Madison, Madison, USA
2
Brookhaven National Laboratory, Upton, USA
3
CERN, Meyrin, Switzerland
4
University of Nebraska Lincoln, Nebraska, USA
5
Lawrence Berkeley National Laboratory, Berkeley, USA
6
Iowa State University, IA, USA
* email: wen.guan@cern.ch
@Copyright 2020 CERN for the benefit of the ATLAS Collaboration. Reproduction of this article or parts of it is allowed as specified in the CC-BY-4.0 license
Published online: 16 November 2020
The ATLAS Event Streaming Service (ESS) at the LHC is an approach to preprocess and deliver data for Event Service (ES) that has implemented a fine-grained approach for ATLAS event processing. The ESS allows one to asynchronously deliver only the input events required by ES processing, with the aim to decrease data traffic over WAN and improve overall data processing throughput. A prototype of ESS was developed to deliver streaming events to fine-grained ES jobs. Based on it, an intelligent Data Delivery Service (iDDS) is under development to decouple the “cold format” and the processing format of the data, which also opens the opportunity to include the production systems of other HEP experiments. Here we will at first present the ESS model view and its motivations for iDDS system. Then we will also present the iDDS schema, architecture and the applications of iDDS.
© The Authors, published by EDP Sciences, 2020
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