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Reactive stream processing for data-centric publish/subscribe
2015
Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems - DEBS '15
The Internet of Things (IoT) paradigm has given rise to a new class of applications wherein complex data analytics must be performed in real-time on large volumes of fastmoving and heterogeneous sensor-generated data. Such data streams are often unbounded and must be processed in a distributed and parallel manner to ensure timely processing and delivery to interested subscribers. Dataflow architectures based on event-based design have served well in such applications because events support
doi:10.1145/2675743.2771880
dblp:conf/debs/KhareAGTM15
fatcat:av4aawvplbew7cq3ryferwo75i