Name
Abstract | ||
|---|---|---|
As query engines are scaled and federated, they must cope with highly unpredictable and changeable environments. In the Telegraph project, we are attempting to architect and implement a continuously adaptive query engine suitable for global-area systems, massive parallelism, and sensor networks. To set the stage for our research, we present a survey of prior work on adaptive query processing, focusing on three characterizations of adaptivity: the frequency of adaptivity, the effects of adaptivity, and the extent of adaptivity. Given this survey, we sketch directions for research in the Telegraph project. |
Year | Venue | Keywords |
|---|---|---|
2000 | IEEE Data Eng. Bull. | sensor network |
Field | DocType | Volume |
Query optimization,Data mining,Information retrieval,Query expansion,Massively parallel,Computer science,Sargable,Wireless sensor network,Database,Sketch | Journal | 23 |
Issue | Citations | PageRank |
2 | 135 | 17.45 |
References | Authors | |
31 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph M. Hellerstein | 1 | 14093 | 1651.14 |
| Michael J. Franklin | 2 | 17423 | 1681.10 |
| Sirish Chandrasekaran | 3 | 1458 | 113.31 |
| Amol Deshpande | 4 | 4085 | 258.89 |
| Kris Hildrum | 5 | 160 | 25.37 |
| Samuel Madden | 6 | 16101 | 1176.38 |
| Vijayshankar Raman | 7 | 2325 | 239.92 |
| Mehul A. Shah | 8 | 3547 | 317.66 |