The PanDA Production and Distributed Analysis system has been developed by ATLAS since summer 2005 for production and distributed analysis processing capable of operating at LHC data processing scale.
ATLAS processing and analysis places challenging requirements on throughput, scalability, robustness, efficient resource utilization, minimal operations manpower, and tight integration of data management with processing workflow. PanDA was initially developed for US based ATLAS production and analysis, and assumed that role in late 2005. In October 2007 PanDA was adopted by the ATLAS Collaboration as the sole system for distributed processing production across the Collaboration. It proved itself as a scalable and reliable system capable of handling very large workflow. In 2008 it was adopted by ATLAS for user analysis processing as well.
