Enorm: efficient window-based computation in large-scale distributed stream processing systems

Kasper Grud Skat Madsen, Yongluan Zhou, Li Su

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

9 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems
Number of pages	12
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery
Publication date	2016
Pages	37-48
ISBN (Print)	978-1-4503-4021-2
DOIs	https://doi.org/10.1145/2933267.2933315
Publication status	Published - 2016
Externally published	Yes
Event	10th ACM International Conference on Distributed and Event-Based Systems - Irvine, CA, United States Duration: 20 Jun 2016 → 24 Jun 2016

Conference	10th ACM International Conference on Distributed and Event-Based Systems
Country/Territory	United States
City	Irvine, CA
Period	20/06/2016 → 24/06/2016

Access to Document

Enorm: efficient window-based computation in large-scale distributed stream processing systems. / Madsen, Kasper Grud Skat; Zhou, Yongluan; Su, Li.
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems. New York, NY, USA: Association for Computing Machinery, 2016. p. 37-48.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Madsen, KGS, Zhou, Y & Su, L 2016, Enorm: efficient window-based computation in large-scale distributed stream processing systems. in Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems. Association for Computing Machinery, New York, NY, USA, pp. 37-48, 10th ACM International Conference on Distributed and Event-Based Systems, Irvine, CA, United States, 20/06/2016. https://doi.org/10.1145/2933267.2933315

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