First Experiences with LHC Grid Computing and Distributed Analysis

TL;DR

This paper discusses the initial experiences of LHC experiments with grid computing for distributed analysis during early data collection, highlighting successes, challenges, and future plans.

Contribution

It provides one of the first detailed accounts of practical deployment and operational experience of grid computing in large-scale high-energy physics experiments.

Findings

Successful utilization of grid infrastructure for distributed analysis

Identification of challenges in large-scale grid deployment

Insights into future development and optimization of grid computing

Abstract

In this presentation the experiences of the LHC experiments using grid computing were presented with a focus on experience with distributed analysis. After many years of development, preparation, exercises, and validation the LHC (Large Hadron Collider) experiments are in operations. The computing infrastructure has been heavily utilized in the first 6 months of data collection. The general experience of exploiting the grid infrastructure for organized processing and preparation is described, as well as the successes employing the infrastructure for distributed analysis. At the end the expected evolution and future plans are outlined.