Towards an Intelligent Data Delivery Service

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...

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Bibliographic Details
Published in:EPJ Web of Conferences 2020-01, Vol.245, p.4015
Main Authors: Guan, Wen, Maeno, Tadashi, Dimitrov, Gancho, Bockelman, Brian Paul, Wenaus, Torre, Tsulaia, Vakhtang, Magini, Nicolo
Format: Article
Language:English
Subjects:
Data processing
Delivery services
Format
Streaming media
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Summary: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.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/202024504015