A number of large-scale high energy physics experiments loom on the horizon, several of which will generate many petabytes of scientific data annually. A variety of exploratory projects are underway within the physics computing community to investigate approaches to managing this data. There are conflicting views of this massive data problem: l there is far… (More)
We describe the initial work of the PASS Project which uses techniques from distributed object manag-ment to analyze experimental data from high energy physics. A t this time, we have designed two prototypes to analyze high energy physics data from the CDF experiment at Fermi Lab. The data from this experiment consists of ((events " which describe particle… (More)
Enormous data volumes and large, geographically dispersed user communities characterize the next generation of experiments in high energy physics and other scientific disciplines. Parallel processing will be integral to the solution of the information storage and retrieval problems that these experiments will engender. We describe several approaches to… (More)
5.2 How do I do the simple, traditional "read a tape, write a tape" but select events into two different outputs? .