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161
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PODS
2003
ACM
143views Database» more  PODS 2003»
16 years 5 months ago
Maintaining variance and k-medians over data stream windows
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...
GLOBECOM
2006
IEEE
15 years 11 months ago
On the Optimal Scheduling for Media Streaming in Data-driven Overlay Networks
—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 ...
Meng Zhang, Yongqiang Xiong, Qian Zhang, Shiqiang ...
153
Voted
DATE
2005
IEEE
167views Hardware» more  DATE 2005»
15 years 10 months ago
A New Task Model for Streaming Applications and Its Schedulability Analysis
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...
Samarjit Chakraborty, Lothar Thiele
ICCAD
2006
IEEE
96views Hardware» more  ICCAD 2006»
16 years 1 months ago
Loop pipelining for high-throughput stream computation using self-timed rings
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...
Gennette Gill, John Hansen, Montek Singh
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
16 years 5 months ago
Event queries on correlated probabilistic streams
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 ...
Christopher Ré, Dan Suciu, Julie Letchner, ...