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ProSem: Scalable wide-area publish/subscribe

Publication ,  Journal Article
Chandramouli, B; Yang, J; Agarwal, PK; Yu, A; Zheng, Y
Published in: Proceedings of the ACM SIGMOD International Conference on Management of Data
December 10, 2008

We demonstrate ProSem, a scalable wide-area publish/subscribe system that supports complex, stateful subscriptions as well as simple ones. One unique feature of ProSem is its cost-based joint optimization of both subscription processing and notification dissemination, ProSem uses novel reformulation techniques to expose new alternatives for processing and disseminating data using standard stateless content-driven network components.

Duke Scholars

Published In

Proceedings of the ACM SIGMOD International Conference on Management of Data

DOI

ISSN

0730-8078

Publication Date

December 10, 2008

Start / End Page

1315 / 1317
 

Citation

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Chandramouli, B., Yang, J., Agarwal, P. K., Yu, A., & Zheng, Y. (2008). ProSem: Scalable wide-area publish/subscribe. Proceedings of the ACM SIGMOD International Conference on Management of Data, 1315–1317. https://doi.org/10.1145/1376616.1376764
Chandramouli, B., J. Yang, P. K. Agarwal, A. Yu, and Y. Zheng. “ProSem: Scalable wide-area publish/subscribe.” Proceedings of the ACM SIGMOD International Conference on Management of Data, December 10, 2008, 1315–17. https://doi.org/10.1145/1376616.1376764.
Chandramouli B, Yang J, Agarwal PK, Yu A, Zheng Y. ProSem: Scalable wide-area publish/subscribe. Proceedings of the ACM SIGMOD International Conference on Management of Data. 2008 Dec 10;1315–7.
Chandramouli, B., et al. “ProSem: Scalable wide-area publish/subscribe.” Proceedings of the ACM SIGMOD International Conference on Management of Data, Dec. 2008, pp. 1315–17. Scopus, doi:10.1145/1376616.1376764.
Chandramouli B, Yang J, Agarwal PK, Yu A, Zheng Y. ProSem: Scalable wide-area publish/subscribe. Proceedings of the ACM SIGMOD International Conference on Management of Data. 2008 Dec 10;1315–1317.

Published In

Proceedings of the ACM SIGMOD International Conference on Management of Data

DOI

ISSN

0730-8078

Publication Date

December 10, 2008

Start / End Page

1315 / 1317