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» Dynamic power management using machine learning
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SRDS
2000
IEEE
15 years 4 months ago
Dynamic Node Management and Measure Estimation in a State-Driven Fault Injector
Validation of distributed systems using fault injection is difficult because of their inherent complexity, lack of a global clock, and lack of an easily accessible notion of a gl...
Ramesh Chandra, Michel Cukier, Ryan M. Lefever, Wi...
ICAC
2006
IEEE
15 years 6 months ago
Using Autonomic Principles to Manage Converged Services in Next Generation Networks
Network resources will always be heterogeneous, and thus have different functionalities and programming models. This adversely affects interoperability. Seamless Mobility is one e...
John Strassner
ICCAD
2003
IEEE
159views Hardware» more  ICCAD 2003»
15 years 8 months ago
Energy-Aware Fault Tolerance in Fixed-Priority Real-Time Embedded Systems
We investigate an integrated approach to fault tolerance and dynamic power management in real-time embedded systems. Fault tolerance is achieved via checkpointing and power manage...
Ying Zhang, Krishnendu Chakrabarty, Vishnu Swamina...
ISCAPDCS
2007
15 years 1 months ago
Evaluation of architectural support for speech codecs application in large-scale parallel machines
— Next generation multimedia mobile phones that use the high bandwidth 3G cellular radio network consume more power. Multimedia algorithms such as speech, video transcodecs have ...
Naeem Zafar Azeemi
PAMI
2008
302views more  PAMI 2008»
14 years 11 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos