The high data volume nature of High Energy Physics data analysis requires the use of high speed networks and concurrent access to distributed compute, data and meta data resources. Clarens is a framework that combines the use of Grid, web services, and peer-to-peer technologies to enable virtual organizations of users and systems to be built and administered easily using commodity protocols and tools with a strong focus on PKI-based security.
Two server implementations written using Python/C and Java are available, implementing standard services including file access, virtual organization and access control administration, service lookup, configuration monitoring, proxy escrow, logging and job execution. Other services include replica catalog access, virtual data catalog access, Globus job submission and SRB file access.
Numerous client applications are available to with numerous clients accessing the available services, including from a web browser, the ROOT analysis application, Java, C++, and the Python command line and scripts.
An overview of the Clarens architecture and a short demonstration of accessing various services will be presented.