Towards an Intelligent Data Delivery Service

Conference · Mon Nov 04 04:00:00 EST 2019

DOI:https://doi.org/10.1051/epjconf/202024504015· OSTI ID:1805228

Guan, Wen; Maeno, Tadashi; Dimitrov, G; Bockelman, BP; Wenaus, T; Tsulaia, V; Magini, N

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.

• Research Organization: Brookhaven National Laboratory (BNL), Upton, NY (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
• DOE Contract Number: SC0012704
• OSTI ID: 1805228
• Report Number(s): BNL-221744-2021-CPPJ
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING