A modular approach to build structured event-based systems
Proceedings of the 2002 ACM symposium on Applied computing
Dynamic Querying of Streaming Data with the dQUOB System
IEEE Transactions on Parallel and Distributed Systems
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
The many faces of publish/subscribe
ACM Computing Surveys (CSUR)
Forwarding in a content-based network
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
StreamGlobe: adaptive query processing and optimization in streaming P2P environments
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
Stream integration techniques for grid monitoring
Journal on Data Semantics II
Republishers in a publish/subscribe architecture for data streams
BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation
Interactive definition of single-user profiles for alerting systems
Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
Multi-query optimization for semantic news feed query
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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In data stream applications, streams typically arise from a geographically distributed collection of producers and may be queried by consumers, which may be distributed as well. In such a setting, a query can be seen as a subscription asking to be informed of all tuples that satisfy a specific condition. We propose to support the publishing and querying of distributed data streams by a publish/subscribe architecture. To enable such a system to scale to a large number of producers and consumers requires the introduction of republishers which collect together data streams and make the merged stream available. If republishers consume from other republishers, a hierarchy of republishers results. We present a formalism that allows distributed data streams, published by independent stream producers, to be integrated as views on a mediated schema. We use the formalism to develop methods to adapt query plans to changes in the set of available data streams and allow consumers to dynamically change which streams they subscribe to.