Parallel query processing for event store data
D. Malon, David Lifka, EDWARD N. MAY, Robert L. Grossman, Xiaohan Qin, Weilin Xu · University of North Texas Digital Library (University of North Texas) · 1994
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 parallel query processing that have been implemented in the early stages of the PASS (Petabyte Access and Storage Solutions) project. These have been tested on an object-oriented persistent event store built from Fermilab CDF data, and evaluated on the 128-processor IBM SP-1 at Argonne National Laboratory, as well as on networks of workstations.