Optimal file distribution for partial match retrieval
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Disk Allocation Methods Using Error Correcting Codes
IEEE Transactions on Computers
Optimal disk allocation for partial match queries
ACM Transactions on Database Systems (TODS)
Disk allocation for Cartesian product files on multiple-disk systems
ACM Transactions on Database Systems (TODS)
An Optimal Disk Allocation Strategy for Partial Match Queries on Non-Uniform Cartesian Product Files
IPPS '99/SPDP '99 Proceedings of the 13th International Symposium on Parallel Processing and the 10th Symposium on Parallel and Distributed Processing
The Idea of De-Clustering and its Applications
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
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A multidimensional file is one whose data are characterized by several attributes, each specified in a given domain. A partial match query on a multidimensional file extracts all data whose attributes match the values of one or more attributes specified in the query. The disk allocation problem of a multidimensional file \big. F\bigr. on a database system with multiple disks accessible in parallel is the problem of distributing \big. F\bigr. among the disks such that the data qualifying for each partial match query are distributed as evenly as possible among the disks of the system. We propose an optimal solution to this problem for multidimensional files with pairwise prime domains based on a large and flexible class of maximum distance separable codes, namely, the redundant residue codes. We also introduce a new family of residue codes, called the redundant nonpairwise prime residue codes, to deal with files whose attribute domains are nonpairwise prime.