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IEEE/ACM Transactions on Networking (TON)
Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
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ACM Transactions on Computer Systems (TOCS)
Holistic twig joins: optimal XML pattern matching
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
An Evaluation of Generic Bulk Loading Techniques
Proceedings of the 27th International Conference on Very Large Data Bases
Stream processing of XPath queries with predicates
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Path sharing and predicate evaluation for high-performance XML filtering
ACM Transactions on Database Systems (TODS)
Load Shedding for Aggregation Queries over Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Batched Processing for Information Filters
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
AGILE: adaptive indexing for context-aware information filters
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Loadstar: load shedding in data stream mining
VLDB '05 Proceedings of the 31st international conference on Very large data bases
High-performance complex event processing over streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Congestion control in a reliable scalable message-oriented middleware
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
Integration of reliable sensor data stream management into digital libraries
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
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Information Filters play an important role in processing streams of events, both for filtering as well as routing events based on their content. Stateful information filters like AGILE [15], Cayuga [13] and SASE [24] have gained a significant amount of attention recently. Such filters not only consider the data of a single event, but also additional state such as a sequence of previous events or a context state. Applications for Wireless Sensors and RFID data are particularly prominent examples for the need for stateful information filtering, with use cases like event correlation or sensor data affecting the routing of other events. While quality of service has been researched fairly thoroughly for networking systems and general data stream management systems, no comprehensive work exists for information filters. The goal of this work is to present QoS criteria for stateful information filters and to examine how QoS control methods established in other areas can be applied to information filters.