Group-Aware Stream Filtering
Towards Collaborative Data Reduction in Stream Processing Systems
In this dissertation, we (the author and her research collaborators) consider a distributed system that disseminates high-volume event streams to many simultaneous monitoring applications over a low-bandwidth network. For bandwidth efficiency, we propose a ``group-aware stream filtering'' approach, used together with multicasting, that exploits two overlooked, yet important, properties of monitoring applications: 1) many of them can tolerate some degree of ``slack'' in their data quality requirements, and 2) there may exist multiple subsets of the source data satisfying the quality needs of an application. We can thus choose the ``best altern…
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Produktdetails
- ISBN: 978-3-8383-0289-8
- EAN: 9783838302898
- Produktnummer: 37362662
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2009
- Seitenangabe: 132 S.
- Masse: H22.0 cm x B15.0 cm x D0.8 cm 215 g
- Abbildungen: Paperback
- Gewicht: 215
Über den Autor
Ming Li studies problems in the general areas of DistributedSystems and Information Management. Specifically, she focused onpervasive computing, distributed stream processing andlow-bandwidth communication systems during the past five years.She is a member of ACM, IEEE and USENIX. She holds a Ph.D ofComputer Science from Dartmouth College.
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