[en] The CMS Dataset Bookkeeping Service (DBS) has been developed to catalog all CMS event data from Monte Carlo and Detector sources. It provides the ability to identify MC or trigger source, track data provenance, construct datasets for analysis, and discover interesting data. CMS requires processing and analysis activities at various service levels and the DBS system provides support for localized processing or private analysis, as well as global access for CMS users at large. Catalog entries can be moved among the various service levels with a simple set of migration tools, thus forming a loose federation of databases. DBS is available to CMS users via a Python API, Command Line, and a Discovery web page interfaces. The system is built as a multi-tier web application with Java servlets running under Tomcat, with connections via JDBC to Oracle or MySQL database backends. Clients connect to the service through HTTP or HTTPS with authentication provided by GRID certificates and authorization through VOMS. DBS is an integral part of the overall CMS Data Management and Workflow Management systems

[en] Within 5 years CMS expects to be managing many tens of petabytes of data at over a hundred sites around the world. This represents more than an order of magnitude increase in data volume over existing HEP experiments. The underlying concepts and architecture of the CMS model for distributed data management will be presented. The technical descriptions of the main data management components for data transfer, dataset bookkeeping, data location and file access will be described. In addition we will present the experience in using the system in CMS data challenges and ongoing MC production