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Research Project:

SemCast

SemCast investigates efficient content-based data filtering and dissemination over conventional multicast channels. SemCast splits input data streams into multiple pieces, using a cost-model on data contents, rates, and destinations, and spreads the pieces across multiple multicast channels for delivery. Each channel can be implemented as a standard overlay dissemination tree. This approach eliminates the need for content-based filtering and routing at interior nodes of the overlay, thus simplifying and improving the dissemination efficiency.

Project status: Active


Research Areas

 

Publications

Papaemmanouil, O., and Cetintemel, U. SemCast: Semantic Multicast for Content-based Data Dissemination. In Proceedings of the 21st International Conference on Data Engineering (ICDE'05) (2005), pp. 242-253. [ pdf ]

Papaemmanouil, O., and Cetintemel, U. Semantic Multicast for Content-based Stream Dissemination. In Proceedings of the 7th International Workshop on the Web and Databases (WebDB'04) (2004). [ pdf ]


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