ACM Transactions on Database Systems (TODS)
Continuous queries over append-only databases
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
On the estimation of join result sizes
EDBT '94 Proceedings of the 4th international conference on extending database technology: Advances in database technology
The Asilomar report on database research
ACM SIGMOD Record
Efficient and extensible algorithms for multi query optimization
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Making views self-maintainable for data warehousing
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Database System Implementation
Database System Implementation
Continuous queries over data streams
ACM SIGMOD Record
Continual Queries for Internet Scale Event-Driven Information Delivery
IEEE Transactions on Knowledge and Data Engineering
Practical Applications of Triggers and Constraints: Success and Lingering Issues (10-Year Award)
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Differential evaluation of continual queries
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Scalable and Dynamic Grouping of Continual Queries
ADVIS '02 Proceedings of the Second International Conference on Advances in Information Systems
Exploitation of referential integrity constraints for efficient update of data warehouse views
BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation
Efficient update of data warehouse views with generalised referential integrity differential files
BNCOD'06 Proceedings of the 23rd British National Conference on Databases, conference on Flexible and Efficient Information Handling
| Hi-index | 0.00 |
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.