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» Models and Issues in Data Stream Systems
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SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
15 years 9 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
IJWIS
2007
181views more  IJWIS 2007»
14 years 9 months ago
Answering queries over incomplete data stream histories
Streams of data often originate from many distributed sources. A distributed stream processing system publishes such streams of data and enables queries over the streams. This allo...
Alasdair J. G. Gray, Werner Nutt, M. Howard Willia...
SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
15 years 2 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
ISCA
1999
IEEE
110views Hardware» more  ISCA 1999»
15 years 1 months ago
Decoupling Local Variable Accesses in a Wide-Issue Superscalar Processor
Providing adequate data bandwidth is extremely important for a wide-issue superscalar processor to achieve its full performance potential. Adding a large number of ports to a data...
Sangyeun Cho, Pen-Chung Yew, Gyungho Lee
ICDCS
1999
IEEE
15 years 1 months ago
Run-time Detection in Parallel and Distributed Systems: Application to Safety-Critical Systems
There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. This work targets run-time analysis of complex, interactive scien...
Beth Plale, Karsten Schwan