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Liz Quigg’s Animations Here

MonaLisa Monitoring. CLARENS Plots. Liz Quigg’s Animations Here. CMS: The Future of HEP Grids. High Energy Physics is behind one of the most ambitious efforts to generate, store, and process large amounts of data in a distributed fashion. HEP Production Processing

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Liz Quigg’s Animations Here

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  1. MonaLisa Monitoring CLARENS Plots Liz Quigg’s Animations Here CMS: The Future of HEP Grids High Energy Physics is behind one of the most ambitious efforts to generate, store, and process large amounts of data in a distributed fashion. HEP Production Processing In large scale Monte Carlo simulation of physics detectors or in standard reconstruction of large amounts of real detector data, processing and data storage with distributed shared resources nearby to physicists who need it can be achieved efficiently using Data Grids. While still in its infancy, Grid technology has provided a number of tools that are already put to use by the HEP community with the help of groups such as PPDG, GriPhyN, and iDVGL.PPDG is behind an effort to bring Condor and Globus tools to the CMS experiment in the form of job scheduling tools and file replication services. GriPhyN is bringing the concept of Virtual Data and automatic regeneration of processed data to the table. IDVGL is providing a worldwide Grid infrastructure on which many core grid concepts can be tested. All of these efforts are helping us prepare for the goal of compatibility with the LHC Computing Grid (LCG) turn-on in 2003. Participants and Supporters Funding the future since 1999 Grid Monitoring From Concepts to Data Terabytes of Simulated Data The CMS collaboration works with PPDG, Griphyn, and IDVGL to produce tools to do distributed production processing on a Grid system. The demo running on the USCMS test grid includes several components. (A) CHIMERA is a system which demonstrates the use of Virtual Data Language in creating data processing jobs from a metadata description. (B) CMS-MOP is a system for packaging data processing jobs in wrappers executable by DAGMAN, a part of the Condor High Throughput Computing System. These jobs subsequently run on remote systems using CondorG and the Globus JobManager. (C) CLARENS is a system for analyzing ROOT format data remotely. A demonstration of Chimera, CMS-MOP, and CLARENS distributed analysis is currently running on the USCMS Test Grid, managed in part by IDVGL, and monitored using the MonaLisa distributed monitor and Globus MDS. Scidac Logo DOE Logo CMS Logo FNAL Logo Idvgl Logo PPDG Logo Grph Logo Condor Logo Globus Logo Above is shown real time monitoring data from the USCMS Test Grid collected using many local tools interfaced to both MDS and MonaLisa. The display is from MonaLisa. Physics Data shown above is generated and displayed using the CHIMERA/MOP/CLARENS system. Data in ROOT format from around the country is displayed using CLARENS.

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