Name
Abstract | ||
|---|---|---|
Continual Queries (CQs) are persistent queries that are issued once and then are run at regular intervals or when source data change until a termination condition is satisfied. Users receive new information automatically as it becomes available. CQs systems need to support a large number of CQs due to the scale of the Internet. This paper describes a novel architecture for a CQs system that scales to a large number of queries. In this system CQs are evaluated locally on the CQ server without accessing base relations after initial evaluation. Only group queries are run to retrieve auxiliary data. We optimize the retrieval of auxiliary data. A performance evaluation shows that the architecture reduces data transmission and I/O costs. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-46146-9_60 | DEXA |
Keywords | Field | DocType |
novel architecture,system cqs,source data change,cq server,scalable continual queries system,auxiliary data,initial evaluation,large number,cqs system,performance evaluation,data transmission,satisfiability | Data mining,Architecture,Electronic data interchange,Data transmission,Source data,Computer science,Systems architecture,Database,Scalability,The Internet | Conference |
ISBN | Citations | PageRank |
3-540-44126-3 | 4 | 0.41 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sharifullah Khan | 1 | 40 | 11.64 |
| Peter L. Mott | 2 | 13 | 2.09 |