Snoop: an expressive event specification language for active databases
Data & Knowledge Engineering
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Data stream management system for MavHome
Proceedings of the 2004 ACM symposium on Applied computing
Load Shedding for Aggregation Queries over Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Operator scheduling in data stream systems
The VLDB Journal — The International Journal on Very Large Data Bases
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
SnoopIB: interval-based event specification and detection for active databases
Data & Knowledge Engineering
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Linear road: a stream data management benchmark
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Scheduling strategies and their evaluation in a data stream management system
BNCOD'06 Proceedings of the 23rd British National Conference on Databases, conference on Flexible and Efficient Information Handling
The anatomy of a stream processing system
BNCOD'06 Proceedings of the 23rd British National Conference on Databases, conference on Flexible and Efficient Information Handling
Events and streams: harnessing and unleashing their synergy!
Proceedings of the second international conference on Distributed event-based systems
Event specification and processing for advanced applications: generalization and formalization
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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Both event and stream data processing models have been researched independently and are utilized in diverse application domains. Although they complement each other in terms of their functionality, there is a critical need for their synergistic integration to serve newer class of pervasive and sensor-based monitoring applications. For instance, many advanced applications generate interesting simple events as a result of stream processing that need to be further composed and detected for triggering appropriate actions. In this paper, we present EStream, an approach for integrating event and stream processing for monitoring changes on stream computations and for expressing and processing complex events on continuous queries (CQs). We introduce masks for reducing uninteresting events and for detecting events correctly and efficiently. We discuss stream modifiers, a special class of stream operators for computing changes over stream data. We also briefly discuss architecture and functional modules of EStream.