Towards an Intelligent Data Delivery Service

被引：1

作者：

Guan, Wen ^{[1
]}

Maeno, Tadashi ^{[2
]}

Dimitrov, Gancho ^{[3
]}

Bockelman, Brian Paul ^{[4
]}

Wenaus, Torre ^{[2
]}

Tsulaia, Vakhtang ^{[5
]}

Magini, Nicolo ^{[6
]}

机构：

[1] Univ Wisconsin, Madison, WI 53706 USA

[2] Brookhaven Natl Lab, Upton, NY 11973 USA

[3] CERN, Meyrin, Switzerland

[4] Univ Nebraska Lincoln, Lincoln, NE USA

[5] Lawrence Berkeley Natl Lab, Berkeley, CA USA

[6] Iowa State Univ, Ames, IA USA

来源：

24TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2019) | 2020年 / 245卷

关键词：

D O I：

10.1051/epjconf/202024504015

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页数：6

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