ACM Transactions on Database Systems (TODS)
Updating derived relations: detecting irrelevant and autonomously computable updates
ACM Transactions on Database Systems (TODS)
View indexing in relational databases
ACM Transactions on Database Systems (TODS)
Answering complex SQL queries using automatic summary tables
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Optimizing queries using materialized views: a practical, scalable solution
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Access path selection in a relational database management system
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
Common expression analysis in database applications
SIGMOD '82 Proceedings of the 1982 ACM SIGMOD international conference on Management of data
Multiple Query Processing in Deductive Databases using Query Graphs
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Design and Evaluation of Alternative Selection Placement Strategies in Optimizing Continuous Queries
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Optimizing multiple continuous queries
Optimizing multiple continuous queries
Incremental aggregation on multiple continuous queries
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
ARGUS: rete + DBMS = efficient persistent profile matching on large-volume data streams
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Elastic complex event processing
Proceedings of the 8th Middleware Doctoral Symposium
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Multilevel secure data stream processing: Architecture and implementation
Journal of Computer Security - DBSec 2011
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We present a relational schema that stores the computations of a shared query evaluation plan, and tools that search the common computations between new queries and the schema, which are the two essential parts of the Incremental Multiple Query Optimization (IMQO) framework we proposed to allow the efficient construction of the optimal evaluation plan for multiple continuous queries.