The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
—The Internet has witnessed a rapid growth in deployment of data-driven overlay network (DON) based streaming applications during recent years. In these applications, each nodes ...
In this paper we introduce a new task model that is specifically targeted towards representing stream processing applications. Examples of such applications are those involved in...
We present a technique for increasing the throughput of stream processing architectures by removing the bottlenecks caused by loop structures. We implement loops as self-timed pip...
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...