DocumentCode :
1685379
Title :
On parallel retrievals using distributed memory computers
Author :
Motzkin, Dalia ; Gupta, Ajay K.
Author_Institution :
Dept. of Comput. Sci., Western Michigan Univ., Kalamazoo, MI, USA
fYear :
1993
fDate :
10/6/1993 12:00:00 AM
Firstpage :
96
Lastpage :
101
Abstract :
The authors introduce an efficient indexing organization which provides for parallel retrievals. Given a p-processor massively parallel computer, the organization allows a maximum of p retrievals to be performed concurrently and thus achieves an approximate speed up of p in the best case. The index structure is based on the multi-B-tree index structure. It is compatible with current automatic retrieval and query processing techniques. It is also compatible with a variety of file organizations. In addition to an indexed attribute which the authors refer to as primary attribute, a secondary attribute can be included in the index as no additional cost. Updates are achieved with a high degree of efficiency as well. The parallel organization of a multi-B-tree index improves considerably the performance of the index. The method discussed here can be easily applied to standard B+ tree, B* tree and other B tree variations
Keywords :
database theory; distributed databases; distributed memory systems; file organisation; distributed memory computers; file organizations; indexed attribute; indexing organization; massively parallel computer; parallel retrievals; Clustering algorithms; Concurrent computing; Costs; Databases; Distributed computing; Hardware; Hypercubes; Indexing; Parallel processing; Query processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Parallel and Distributed Systems, 1993., Proceedings of the IEEE Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-5250-0
Type :
conf
DOI :
10.1109/APADS.1993.588811
Filename :
588811
Link To Document :
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