PREDATOR: a resource for database research
ACM SIGMOD Record
Heavy-tailed probability distributions in the World Wide Web
A practical guide to heavy tails
Ripple joins for online aggregation
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
An adaptive query execution system for data integration
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Dataflow query execution in a parallel main-memory environment
PDIS '91 Proceedings of the first international conference on Parallel and distributed information systems
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Dynamic Pipeline Scheduling for Improving Interactive Query Performance
Proceedings of the 27th International Conference on Very Large Data Bases
Stream window join: tracking moving objects in sensor-network databases
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
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
Video query processing in the VDBMS testbed for video database research
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Towards scalable location-aware services: requirements and research issues
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Nile: A Query Processing Engine for Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Static optimization of conjunctive queries with sliding windows over infinite streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Dynamic plan migration for continuous queries over data streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Evaluating window joins over punctuated streams
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Semantic Approximation of Data Stream Joins
IEEE Transactions on Knowledge and Data Engineering
Semantics and evaluation techniques for window aggregates in data streams
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
The Indiana Center for Database Systems at Purdue University
ACM SIGMOD Record
Approximate Processing of Massive Continuous Quantile Queries over High-Speed Data Streams
IEEE Transactions on Knowledge and Data Engineering
On-the-fly sharing for streamed aggregation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient scheduling of heterogeneous continuous queries
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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
GAGPC: optimization of multiple continuous queries on data
DBA'06 Proceedings of the 24th IASTED international conference on Database and applications
Condensative stream query language for data streams
ADC '07 Proceedings of the eighteenth conference on Australasian database - Volume 63
Processing sliding window multi-joins in continuous queries over data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
PLACE: a query processor for handling real-time spatio-temporal data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Algorithms and metrics for processing multiple heterogeneous continuous queries
ACM Transactions on Database Systems (TODS)
Query processing of multi-way stream window joins
The VLDB Journal — The International Journal on Very Large Data Bases
SOLE: scalable on-line execution of continuous queries on spatio-temporal data streams
The VLDB Journal — The International Journal on Very Large Data Bases
Out-of-order processing: a new architecture for high-performance stream systems
Proceedings of the VLDB Endowment
Rule-based multi-query optimization
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Load Shedding for Shared Window Join over Real-Time Data Streams
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
BNCOD 26 Proceedings of the 26th British National Conference on Databases: Dataspace: The Final Frontier
Scheduling to minimize staleness and stretch in real-time data warehouses
Proceedings of the twenty-first annual symposium on Parallelism in algorithms and architectures
An Approximation Algorithm for Optimizing Multiple Path Tracking Queries over Sensor Data Streams
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
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
Supporting views in data stream management systems
ACM Transactions on Database Systems (TODS)
A shared execution strategy for multiple pattern mining requests over streaming data
Proceedings of the VLDB Endowment
A new look at generating multi-join continuous query plans: A qualified plan generation problem
Data & Knowledge Engineering
A framework to enforce access control over data streams
ACM Transactions on Information and System Security (TISSEC)
MG-join: detecting phenomena and their correlation in high dimensional data streams
Distributed and Parallel Databases
Subsuming multiple sliding windows for shared stream computation
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Shared execution strategy for neighbor-based pattern mining requests over streaming windows
ACM Transactions on Database Systems (TODS)
Semantics of data streams and operators
ICDT'05 Proceedings of the 10th international conference on Database Theory
Querying sliding windows over online data streams
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Continuous query processing in spatio-temporal databases
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Phenomenon-aware sensor database systems
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
An embedded co-processor for accelerating window joins over uncertain data streams
Microprocessors & Microsystems
Optimizing adaptive multi-route query processing via time-partitioned indices
Journal of Computer and System Sciences
Multi-query optimization for semantic news feed query
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
On clustering large number of data streams
Intelligent Data Analysis
| Hi-index | 0.00 |
Continuous Query (CQ) systems typically exploit commonality among query expressions to achieve improved efficiency through shared processing. Recently proposed CQ systems have introduced window specifications in order to support unbounded data streams. There has been, however, little investigation of sharing for windowed query operators. In this paper, we address the shared execution of windowed joins, a core operator for CQ systems. We show that the strategy used in systems to date has a previously unreported performance flaw that can negatively impact queries with relatively small windows. We then propose two new execution strategies for shared joins. We evaluate the alternatives using both analytical models and implementation in a DBMS. The results show that one strategy, called MQT, provides the best performance over a range of workload settings.