Adaptive ordering of pipelined stream filters
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Maximizing the output rate of multi-way join queries over streaming information sources
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Exploiting k-constraints to reduce memory overhead in continuous queries over data streams
ACM Transactions on Database Systems (TODS)
Adaptive Caching for Continuous Queries
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Proactive re-optimization with Rio
Proceedings of the 2005 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
Une architecture hybride pour i'interrogation et i'administration des capteurs
UbiMob '05 Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Foundations and Trends in Databases
Using data correlation to build an intrusion detection system
ICAI'09 Proceedings of the 10th WSEAS international conference on Automation & information
PAQ: persistent adaptive query middleware for dynamic environments
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
Optimizing joins in a map-reduce environment
Proceedings of the 13th International Conference on Extending Database Technology
Streaming SPARQL extending SPARQL to process data streams
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
PAQ: persistent adaptive query middleware for dynamic environments
Middleware'09 Proceedings of the ACM/IFIP/USENIX 10th international conference on Middleware
Scalable performance of system S for extract-transform-load processing
Proceedings of the 3rd Annual Haifa Experimental Systems Conference
Framing the question: detecting and filling spatial-temporal windows
Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming
Enabling fast prediction for ensemble models on data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Predictive Data Stream Filtering
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Continuous data stream query in the cloud
Proceedings of the 20th ACM international conference on Information and knowledge management
Fast track article: Using snapshot query fidelity to adapt continuous query execution
Pervasive and Mobile Computing
Capturing episodes: may the frame be with you
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Adaptive processing for continuous query over data stream
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
| Hi-index | 0.00 |
StreaMon is the adaptive query processing engine of the STREAM prototype Data Stream Management System (DSMS) [4]. A fundamental challenge in many DSMS applications (e.g., network monitoring, financial monitoring over stock tickers, sensor processing) is that conditions may vary significantly over time. Since queries in these systems are usually long-running, or continuous [4], it is important to consider adaptive approaches to query processing. Without adaptivity, performance may drop drastically as stream data and arrival characteristics, query loads, and system conditions change over time.StreaMon uses several techniques to support adaptive query processing [1, 2, 3]; we demonstrate three of them:•Reducing run-time memory requirements for continuous queries by exploiting stream data and arrival patterns.•Adaptive join ordering for pipelined multiway stream joins, with strong quality guarantees.•Placing subresult caches adaptively in pipelined multiway stream joins to avoid recomputation of intermediate results.