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» SMDS Measurements and Modeling to Predict Performance
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CVPR
2012
IEEE
13 years 6 days ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
SP
2002
IEEE
134views Security Privacy» more  SP 2002»
14 years 9 months ago
Performance engineering, PSEs and the GRID
Performance Engineering is concerned with the reliable prediction and estimation of the performance of scientific and engineering applications on a variety of parallel and distrib...
Tony Hey, Juri Papay
SIGMETRICS
2003
ACM
106views Hardware» more  SIGMETRICS 2003»
15 years 3 months ago
On the effectiveness of movement prediction to reduce energy consumption in wireless communication
—Node movement can be exploited to reduce the energy consumption of wireless network communication. The strategy consists in delaying communication until a mobile node moves clos...
Srijan Chakraborty, David K. Y. Yau, John C. S. Lu...
ICMCS
2009
IEEE
183views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Modeling the tele-immersive systems using stochastic activity network
The next-generation social communication medium, teleimmersion, is receiving increasing attention from both the research and industrial communities. It enables interaction between...
Rahul Malik, Wanmin Wu, Klara Nahrstedt
CMG
2008
14 years 11 months ago
Computing Missing Service Demand Parameters for Performance Models
One of the challenges in building analytic performance models such as queuing network models is obtaining service demands for the various workloads and various devices. While some...
Daniel A. Menascé