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Computing for the Large Hadron Collider

Following the first full year of Large Hadron Collider (LHC) data taking, the Worldwide LHC Computing Grid (WLCG) computing environment built to support LHC data processing and analysis has been validated. In this review, I discuss the rationale for the design of a distributed system and describe how this environment was constructed and deployed through the use of grid computing technologies. I discuss the experience with large-scale testing and operation with real accelerator data, which shows that expectations have been met and sometimes exceeded. The computing system's key achievements are that ( a ) the WLCG infrastructure is distributed and makes use of all the dispersed resources, ( b ) the experiments' computing models are also distributed and can make excellent use of the infrastructure, and ( c ) the computing system has enabled physics output in a very short time. Finally, I present prospects for the future evolution of the WLCG infrastructure. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Nuclear and Particle Science Annual Reviews
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