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Parallel Query Processing for Event Store Data


Author(s) : R. Grossman E. May D. Lifka D. Malon X. Qin W. Xu, 
Publisher : N/A
Publication Date : 1994
ISSN : N/A
Abstract : 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 ? The submitted manuscript has been authored by a contractor of the U.S. Government under contract No. W-31-109-Eng-38. Accordingly, the U.S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes.,