Towards an Intelligent Data Delivery Service

TL;DR

This paper presents the development of an intelligent Data Delivery Service (iDDS) that enhances data processing efficiency for high-energy physics experiments by decoupling data formats and improving streaming delivery.

Contribution

It introduces the ESS model and architecture, and details the design and application of the new iDDS system for efficient data delivery in HEP experiments.

Findings

Prototype of ESS successfully delivers streaming events to fine-grained jobs.

iDDS decouples data formats, enabling broader application across experiments.

Improves data traffic management and processing throughput.

Abstract

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.