ACM Transactions on Database Systems (TODS)
Dynamic query evaluation plans
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
EDBT '90 Proceedings of the 2nd international conference on extending database technology: Advances in Database Technology
Workload scheduling for multiple query processing
Information Processing Letters
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
Space/time trade-offs in hash coding with allowable errors
Communications of the ACM
Pipelining in multi-query optimization
PODS '01 Proceedings of the twentieth 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
Streaming queries over streaming data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Tuple routing strategies for distributed eddies
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
On-the-fly sharing for streamed aggregation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
State-slice: new paradigm of multi-query optimization of window-based stream queries
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
HybMig: A Hybrid Approach to Dynamic Plan Migration for Continuous Queries
IEEE Transactions on Knowledge and Data Engineering
Prefilter: predicate pushdown at streaming speeds
SSPS '08 Proceedings of the 2nd international workshop on Scalable stream processing system
Main-memory scan sharing for multi-core CPUs
Proceedings of the VLDB Endowment
Rule-based multi-query optimization
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
An Optimization Technique for Multiple Continuous Multiple Joins over Data Streams
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
A shared execution strategy for multiple pattern mining requests over streaming data
Proceedings of the VLDB Endowment
On-line sensing task optimization for shared sensors
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Shared execution strategy for neighbor-based pattern mining requests over streaming windows
ACM Transactions on Database Systems (TODS)
Towards expressive publish/subscribe systems
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Multi-query optimization for semantic news feed query
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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Sharing has emerged as a key idea of static and adaptive stream query processing systems. Inherent in these systems is a tension between sharing common work and avoiding unnecessary work. Increased sharing has generally led to more unnecessary work. Our approach of precision sharing aims to share aggressively without unnecessary work. We show why "adaptive" tuple lineage is more generally applicable and use it for precisely shared static dataflows. We also show how "static" ordering constraints can be used for precision sharing in adaptive systems. Finally, we report an experimental study of precision sharing.