A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
This paper introduces the DUP System, a simple framework for parallel stream processing. The DUP System enables developers to compose applications from stages written in almost any...
Efficient matching of incoming events to persistent queries is fundamental to event pattern matching, complex event processing, and publish/subscribe systems. Recent processing e...
Lars Brenna, Johannes Gehrke, Mingsheng Hong, Dag ...
We present an architectural framework, Garnet, which a data stream centric abstraction to encourage the manipulation and exploitation of data generated in sensor networks. By prov...
Currently, stream data processing is an active area of research, which includes everything from algorithms and architectures for stream processing to modelling and analysis of var...