Towards an Intelligent Data Delivery Service

Autor:	Guan, Wen, Maeno, Tadashi, Dimitrov, Gancho, Bockelman, Brian Paul, Wenaus, Torre, Tsulaia, Vakhtang, Magini, Nicolo
Rok vydání:	2020
Předmět:	Computer Science - Distributed Parallel and Cluster Computing High Energy Physics - Experiment Physics - Instrumentation and Detectors
Druh dokumentu:	Working Paper
DOI:	10.1051/epjconf/202024504015
Popis:	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. Comment: 6 pages, 3 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2007.01791 Zobrazit plný text záznamu View this record from Arxiv