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Automatic reclustering of objects in very large databases for high energy physics

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3 Author(s)
Holtman, K. ; EP Div., CERN, Geneva, Switzerland ; van der Stok, P. ; Willers, I.

In the very large object database systems planned for some future particle physics experiments, typical physics analysis jobs will traverse millions of read-only objects, many more objects than fit in the database cache. Thus, a good clustering of objects on disk is highly critical to database performance. We present the implementation and performance measurements of a prototype reclustering mechanism which was developed to optimise I/O performance under the changing access patterns in a high energy physics database. Reclustering is done automatically and on-line. The methods used by our prototype differ greatly from those commonly found in proposed general-purpose reclustering systems. By exploiting some special characteristics of the access patterns of physics analysis jobs, the prototype manages to keep database I/O throughput close to the optimum throughput of raw sequential disk access

Published in:

Database Engineering and Applications Symposium, 1998. Proceedings. IDEAS'98. International

Date of Conference:

8-10 Jul 1998

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