Abstract | ||
---|---|---|
We are building TelegraphCQ, a system to process continuous queries over data streams. Although we had implemented some parts of this technology in earlier Java-based prototypes, our experiences were not positive. As a result, we decided to use PostgreSQL, an open source RDBMS as a starting point for our new implementation. In March 2003, we completed an alpha milestone of TelegraphCQ. In this paper, we report on the development status of our project, with a focus on architectural issues. Specifically, we describe our experiences extending a traditional DBMS towards managing data streams, and an overview of the current early-access release of the system. |
Year | Venue | Field |
---|---|---|
2003 | IEEE Data Eng. Bull. | Status report,Data mining,Data stream mining,Computer science,Relational database management system,Java,Database |
DocType | Volume | Issue |
Journal | 26 | 1 |
Citations | PageRank | References |
37 | 7.74 | 8 |
Authors | ||
11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sailesh Krishnamurthy | 1 | 1331 | 101.15 |
Sirish Chandrasekaran | 2 | 1458 | 113.31 |
sirish ch | 3 | 37 | 7.74 |
Owen Cooper | 4 | 997 | 81.00 |
Amol Deshpande | 5 | 4085 | 258.89 |
Michael J. Franklin | 6 | 17423 | 1681.10 |
Joseph M. Hellerstein | 7 | 14093 | 1651.14 |
wei | 8 | 6123 | 485.78 |
Samuel Madden | 9 | 16101 | 1176.38 |
Frederick Reiss | 10 | 268 | 19.27 |
Mehul A. Shah | 11 | 3547 | 317.66 |