Partitioning functions for stateful data parallelism in stream processing

Author:

Gedik Buğra

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems

Reference30 articles.

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3. Arasu, A., Babcock, B., Babu, S., Datar, M., Ito, K., Motwani, R., Nishizawa, I., Srivastava, U., Thomas, D., Varma, R., Widom, J.: STREAM: the stanford stream data manager. IEEE Data Eng. Bull. 26(1), 665 (2003)

4. Balkesen, C., Tatbul, N.: Scalable data partitioning techniques for parallel sliding window processing over data streams. In: International Workshop on Data Management for Sensor Networks (DMSN) (2011)

5. Cormode, G., Garofalakis, M., Haas, P., Jermaine, C.: Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. Now Publishing, Foundations and Trends in Databases Series (2011)

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