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CIKM
2009
Springer
14 years 2 months ago
Packing the most onto your cloud
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
Ashraf Aboulnaga, Ziyu Wang, Zi Ye Zhang
CCGRID
2008
IEEE
14 years 1 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
CCGRID
2008
IEEE
14 years 1 months ago
Scalable Data Gathering for Real-Time Monitoring Systems on Distributed Computing
Real-time monitoring is increasingly becoming important in various scenes of large scale, multi-site distributed/parallel computing, e.g, understanding behavior of systems, schedu...
Yoshikazu Kamoshida, Kenjiro Taura
ICC
2008
IEEE
176views Communications» more  ICC 2008»
14 years 1 months ago
A k-Nearest Neighbor Approach for User Authentication through Biometric Keystroke Dynamics
— Keystroke dynamics exhibit people’s behavioral features which are similar to hand signatures. A major problem hindering the large scale deployment of this technology is its h...
Jiankun Hu, Don Gingrich, Andy Sentosa
ICDM
2008
IEEE
190views Data Mining» more  ICDM 2008»
14 years 1 months ago
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
Meghana Deodhar, Joydeep Ghosh