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CLOUD
2010
ACM
15 years 7 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
SOFTVIS
2010
ACM
15 years 10 days ago
Dependence cluster visualization
Large clusters of mutual dependence have long been regarded as a problem impeding comprehension, testing, maintenance, and reverse engineering. An effective visualization can aid ...
Syed S. Islam, Jens Krinke, David Binkley
126
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WWW
2008
ACM
16 years 3 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
SIGMOD
2007
ACM
196views Database» more  SIGMOD 2007»
16 years 2 months ago
Adaptive location constraint processing
An important problem for many location-based applications is the continuous evaluation of proximity relations among moving objects. These relations express whether a given set of ...
Zhengdao Xu, Hans-Arno Jacobsen
121
Voted
ICIP
2008
IEEE
16 years 4 months ago
A block-based super-resolution for video sequences
An algorithm for video resolution enhancement is presented. The approach borrows from previous methods for still-image superresolution, introducing modifications better suited for...
Ryan S. Prendergast, Truong Q. Nguyen