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Processing publish/subscribe queries over distributed data streams

10 years 9 months ago
Processing publish/subscribe queries over distributed data streams
We address the problem of processing continuous multi-join queries, over distributed data streams, making use of existing work in the field of publish/subscribe systems. We show how these principles can be ported to data streams, by enriching the common query model with location dependent attributes. Users can subscribe to a set of sensor attributes, a service that requires processing multi-join correlation queries. The goal is to decrease the overall network traffic consumption by removing redundant subscriptions and eliminating unrequested events close to the publishing sensors. This is non-trivial, especially in the presence of multi-join queries without any central control mechanism. Our approach is based on the concept of filter-split-forward phases for efficient subscription filtering and placement inside the network. We report on a performance evaluation using a real-world dataset, showing the suitability of our approach to reduce the overall data traffic.
Oana Jurca, Sebastian Michel, Alexandre Herrmann,
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where DEBS
Authors Oana Jurca, Sebastian Michel, Alexandre Herrmann, Karl Aberer
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