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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wen Qi Jie Song Yu-bin Bao |
| Copyright Year | 2010 |
| Description | Author affiliation: Northeastern University of China, Shenyang 110004, China (Jie Song; Yu-bin Bao) || Eastern Liaoning University, Dandong 118003, China (Wen Qi) |
| Abstract | Database partitioning technique which adopts "divide and conquer" method can efficiently simplify the complexity of managing massive data and improve the performance of the system, especially the range partitioning. The traditional range partitioning approach brings heavy burden to the system without an increased partitioning algorithm, so it does not adapt to the partitioning in the realtime data environment. To speed up the partitioning algorithm, the current partitioning technology is well studied and three effective range partitioning algorithms for the massive data are proposed, which based on allowing the fluctuation of data amount in each range of partitions. At last, some experiments and applications show that the proposed algorithms are more effective and efficient to partitioning and re-partitioning tables in the large database or real-time environment. |
| Starting Page | 101 |
| Ending Page | 106 |
| File Size | 538793 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424452637 |
| DOI | 10.1109/ICIME.2010.5477529 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fluctuations Merging Relational databases Large Database Data warehouses Partitioning Algorithm Data models Cleaning Partitioning algorithms Sorting |
| Content Type | Text |
| Resource Type | Article |
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