Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
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
SensorScope: Out-of-the-Box Environmental Monitoring
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Just-In-Time Processing of Continuous Queries
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Processing continuous join queries in sensor networks: a filtering approach
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
| Hi-index | 0.00 |
In a data stream environment, a multi-way join continuous query is employed to monitor a considerable number of source data streams from various remote sites in real-time. One key role of a continuous query is detecting only the invocation of a particular event corresponding to the specifications of the query. The evaluation of such a detection-only query does not require to produce either an intermediate tuple or a final result tuple, which not only shortens the processing time of a query but also reduces the usage of memory space. However, there has been no special effort to deal with a query of this type. This paper proposes a new evaluation framework which efficiently processes a multi-way detection-only query without generating any intermediate result tuple explicitly.