@inproceedings{DBLP:conf/dasfaa/ChangL89a, author = {Chin-Chen Chang and D. F. Leu}, editor = {Sukho Lee and Hideko S. Kunii and Won Kim and In Sup Paik and Yahiko Kambayashi}, title = {Multikey Sorting as a File Organization Scheme When Queries Are Not Equally Likely}, booktitle = {International Symposium on Database Systems for Advanced Applications, Seoul, Korea, April 10-12, 1989}, publisher = {Dept. of Computer Science, KAIST, P.O. Box 150, ChongRyang, Seoul, 131-650, Korea}, year = {1989}, pages = {219-224}, ee = {db/conf/dasfaa/ChangL89a.html}, crossref = {DBLP:conf/dasfaa/89}, bibsource = {DBLP, http://dblp.uni-trier.de} }BibTeX
The number of bucket accesses can be reduced by clustering "similar" records on the same buckets of the secondary storage device so that the records that are required by the same query are resided on as few buckets as possible. Lee and Tseng proposed to use the multi-key sorting method to cluster the records. But their method can only handle the file organization problem for a set of equally likely partial match queries.
This paper mainly uses the multi-key sorting method to organize files when queries are not equally likely. Experimental results reported that this method is indeed feasible. For instance, for a set of the United Nations voting data, the average response time after our file organization method is 74.0% when the given queries are not random. For a set of snake poison data, the ratio is 64.7%.
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