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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Motzkin, D. Gupta, A.K. |
| Copyright Year | 1993 |
| Description | Author affiliation: Dept. of Comput. Sci., Western Michigan Univ., Kalamazoo, MI, USA (Motzkin, D.) |
| 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/sup */ tree and other B tree variations. |
| Starting Page | 96 |
| Ending Page | 101 |
| File Size | 717965 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818652500 |
| DOI | 10.1109/APADS.1993.588811 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-10-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Concurrent computing Costs Databases Query processing Clustering algorithms Parallel processing Hypercubes Hardware Distributed computing Indexing |
| Content Type | Text |
| Resource Type | Article |
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