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Event Logging and Distribution for the BaBar Online System

Sridhara Dasu
 University of Wisconsin

Speaker: Sridhara Dasu

  We discuss software and computing infrastructure used for event logging and distribution to prompt reconstruction system of the BaBar experiment. The raw data for typical BaBar events is about 30-50 kB per event. During the data taking a 100 Hz stream of events is collected from a farm of 32 online computers amounting to about 3-5 MB/s. A robust and efficient multi-threaded, TCP/IP based software was written to serve this purpose. The same program is also used to distribute the logged events to a larger farm of 200 unix processors to process promptly. This prompt processing involves full reconstruction and calibration programs before final storage in the Objectivity database. We use CORBA to monitor and control this software. We describe the performance of underlying tools and address scalability of this system.

Presentation:  Adobe Acrobat pdf Short Paper:  Adobe Acrobat pdf 

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