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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jeong Seok Oh Kyung Suhk Choi Jeong Rock Kwon Sang Ho Lee |
| Copyright Year | 2008 |
| Description | Author affiliation: Inst. of Gas Safety R&D, Korea Gas Safety Corp., Shiheung (Jeong Seok Oh; Kyung Suhk Choi) |
| Abstract | Database system can be performed more than a database application and shown peculiar workload characteristics as a database application. However, as a database system can be performed a lot of database applications, detecting workload characteristics might be more difficult. This paper proposes the method of finding near workload characteristics by mixed workloads. The workload find method is evaluated by the modified k-NN algorithm that is an extension of the existing the fuzzy k-NN algorithm. The modified k-NN algorithm measures how close workloads in TPC-C or TPC-W are to the mixed workloads between TPC-C and TPC-W. Furthermore, the result of our method is better than others for finding near workloads because its results are lower than others in the oscillation depending on the k parameter and the error rate. This study is able to contribute to finding similar information for providing autonomic database analysis and intelligent service in ubiquitous environments. |
| Starting Page | 334 |
| Ending Page | 337 |
| File Size | 378111 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769533285 |
| DOI | 10.1109/ICHIT.2008.216 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-28 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Databases Error analysis Benchmark testing k-NN algorithm workload characteristics Classification algorithms Oscillators Nearest neighbor searches database application |
| Content Type | Text |
| Resource Type | Article |
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