A predicate matching algorithm for database rule systems
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Eddies: continuously adaptive query processing
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
Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Continuous queries over data streams
ACM SIGMOD Record
Aurora: a data stream management system
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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
Adaptive ordering of pipelined stream filters
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Content-based routing: different plans for different data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Query indexing with containment-encoded intervals for efficient stream processing
Knowledge and Information Systems
Streaming queries over streaming data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Algorithms and metrics for processing multiple heterogeneous continuous queries
ACM Transactions on Database Systems (TODS)
Information Sciences: an International Journal
Efficient filtering query indexing in data stream
WISE'06 Proceedings of the 7th international conference on Web Information Systems
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A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Query processing for such a data stream should also be continuous and rapid, which requires strict time and space constraints. In order to guarantee these constraints, we have proposed a new scheme called an Attribute Selection Construct (ASC) for an attribute of a data stream in our previous study (Lee and Lee, Information Sciences 178:2416---2432, 2008). As its optimization technique, this paper proposes the new strategy that determines the evaluation order of multiple ASC's for a given query set at two different levels--macro and micro levels. Based on the two levels, it also proposes two different strategies--macro-sequence and hybrid-sequence--that find the optimized full evaluation sequence of all the ASC's. In addition, it provides the adaptive strategy that periodically rearranges the evaluation sequence of multiple ASC's. The performance of the proposed technique is verified by a series of experiments.