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ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 7 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
CASES
2005
ACM
15 years 6 months ago
Optimizing stream programs using linear state space analysis
Digital Signal Processing (DSP) is becoming increasingly widespread in portable devices. Due to harsh constraints on power, latency, and throughput in embedded environments, devel...
Sitij Agrawal, William Thies, Saman P. Amarasinghe
IPPS
2010
IEEE
15 years 1 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...
146
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EMSOFT
2011
Springer
14 years 3 months ago
Hard-real-time scheduling of data-dependent tasks in embedded streaming applications
Most of the hard-real-time scheduling theory for multiprocessor systems assumes independent periodic or sporadic tasks. Such a simple task model is not directly applicable to mode...
Mohamed Bamakhrama, Todor Stefanov
FPGA
2008
ACM
191views FPGA» more  FPGA 2008»
15 years 5 months ago
A hardware framework for the fast generation of multiple long-period random number streams
Stochastic simulations and other scientific applications that depend on random numbers are increasingly implemented in a parallelized manner in programmable logic. High-quality ps...
Ishaan L. Dalal, Deian Stefan