Name
Abstract | ||
|---|---|---|
The performance of the functional disk system with relational database engine (FDS-R2) is evaluated in detail in view of two points. First, the performance evaluation of the combined hash algorithm on FDS-R2 is reported using the projection and aggregation operations in addition to the join operation and they are analyzed in order to verify the effectiveness of the proposed processing method, Second, several measured results of performance evaluations with the expanded version of the Wisconsin Benchmark are given and analyzed. FDS-R2 attained higher performance for very large relations as compared to other large database systems such as Gamma and Teradata. In this evaluation, it is also shown that the performance of the relational operations can be improved largely by using an efficient hashing strategy for large relations on FDS-R2 |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/ICDE.1991.131490 | Kobe |
Keywords | Field | DocType |
file organisation,performance evaluation,relational databases,FDS-R2,Wisconsin Benchmark,functional disk system,hash algorithm,performance evaluation,relational database engine | Data mining,Data processing,Algorithm design,Relational database,Computer science,Parallel processing,Hash function,Acceleration,Cluster analysis,Database | Conference |
ISBN | Citations | PageRank |
0-8186-2138-9 | 13 | 12.12 |
References | Authors | |
13 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masaru Kitsuregawa | 1 | 3188 | 831.46 |
| Miyuki Nakano | 2 | 136 | 122.97 |
| Mikio Takagi | 3 | 221 | 198.87 |