Name
Abstract | ||
|---|---|---|
This paper studies the problem of supporting interactive top-kaggregation query over dynamic data in the cloud. We propose TV-TREE, a top-K Threshold-based materialized View TREE, which achieves the fast processing of top-k aggregation queries by efficiently materialized views. A segment tree based structure is adopted to organize the views in a hierarchical manner. A suite of protocols are proposed for incrementally maintaining the views. Experiments are performed for evaluating the effectiveness of our solutions, in terms of query accuracy, costs and maintenance overhead. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICDCSW.2015.32 | ICDCS Workshops |
Field | DocType | ISSN |
Query optimization,Data mining,Suite,Computer science,Dynamic data,Online aggregation,Segment tree,Materialized view,Cloud computing | Conference | 1545-0678 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuzhe Tang | 1 | 147 | 21.06 |
| Ling Liu | 2 | 2181 | 142.51 |
| Jun'ichi Tatemura | 3 | 100 | 12.51 |
| Hakan Hacigümüs | 4 | 186 | 16.52 |