Frames : Data-driven Windows

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dc.contributor.authorGrossniklaus, Michael
dc.contributor.authorMaier, David
dc.contributor.authorMiller, James
dc.contributor.authorMoorthy, Sharmadha
dc.contributor.authorTufte, Kristin
dc.date.accessioned2016-05-09T15:47:36Z
dc.date.available2016-05-09T15:47:36Z
dc.date.issued2016eng
dc.description.abstractTraditional Data Stream Management Systems (DSMS) segment data streams using windows that are defined either by a time interval or a number of tuples. Such windows are fixed—the definition unvarying over the course of a stream—and are defined based on external properties unrelated to the data content of the stream. However, streams and their con- tent do vary over time—the rate of a data stream may vary or the data distribution of the content may vary. The mismatch between a fixed stream segmentation and a variable stream motivates the need for a more flexible, expressive and physically independent stream segmentation. We introduce a new stream segmentation technique, called frames. Frames segment streams based on data content. We present a theory and implementation of frames and show the utility of frames for a variety of applications.eng
dc.description.versionpublishedde
dc.identifier.doi10.1145/2933267.2933304eng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/33848
dc.language.isoengeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectdata streams, stream processing, stream segmentationeng
dc.subject.ccsInformation systems -> Stream management;
dc.subject.ddc004
dc.titleFrames : Data-driven Windowseng
dc.typeINPROCEEDINGSde
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Grossniklaus2016Frame-33848,
  year={2016},
  doi={10.1145/2933267.2933304},
  title={Frames : Data-driven Windows},
  isbn={978-1-4503-4021-2},
  publisher={ACM},
  address={New York, NY},
  booktitle={Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS)},
  pages={13--24},
  author={Grossniklaus, Michael and Maier, David and Miller, James and Moorthy, Sharmadha and Tufte, Kristin}
}
kops.citation.iso690GROSSNIKLAUS, Michael, David MAIER, James MILLER, Sharmadha MOORTHY, Kristin TUFTE, 2016. Frames : Data-driven Windows. 10th ACM International Conference on Distributed and Event-Based Systems. Irvine, CA, USA, 20. Juni 2016 - 24. Juni 2016. In: Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS). New York, NY: ACM, 2016, pp. 13-24. ISBN 978-1-4503-4021-2. Available under: doi: 10.1145/2933267.2933304deu
kops.citation.iso690GROSSNIKLAUS, Michael, David MAIER, James MILLER, Sharmadha MOORTHY, Kristin TUFTE, 2016. Frames : Data-driven Windows. 10th ACM International Conference on Distributed and Event-Based Systems. Irvine, CA, USA, Jun 20, 2016 - Jun 24, 2016. In: Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS). New York, NY: ACM, 2016, pp. 13-24. ISBN 978-1-4503-4021-2. Available under: doi: 10.1145/2933267.2933304eng
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kops.conferencefield10th ACM International Conference on Distributed and Event-Based Systems, 20. Juni 2016 - 24. Juni 2016, Irvine, CA, USAdeu
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kops.sourcefield<i>Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS)</i>. New York, NY: ACM, 2016, pp. 13-24. ISBN 978-1-4503-4021-2. Available under: doi: 10.1145/2933267.2933304deu
kops.sourcefield.plainProceedings of the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS). New York, NY: ACM, 2016, pp. 13-24. ISBN 978-1-4503-4021-2. Available under: doi: 10.1145/2933267.2933304deu
kops.sourcefield.plainProceedings of the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS). New York, NY: ACM, 2016, pp. 13-24. ISBN 978-1-4503-4021-2. Available under: doi: 10.1145/2933267.2933304eng
kops.title.conference10th ACM International Conference on Distributed and Event-Based Systemseng
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