SemCast: semantic multicast for content-based data dissemination

We address the problem of content-based dissemination of highly-distributed, high-volume data streams for stream-based monitoring applications and large-scale data delivery. Existing content-based dissemination approaches commonly rely on distributed filtering trees that require filtering at all brokers on the tree. We present a new semantic multicast… (More)

11 Figures & Tables

Statistics

01020'05'06'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

88 Citations

Semantic Scholar estimates that this publication has 88 citations based on the available data.

See our FAQ for additional information.