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ICAC
2008
IEEE
15 years 11 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
EMSOFT
2004
Springer
15 years 10 months ago
Practical PACE for embedded systems
In current embedded systems, one of the major concerns is energy conservation. The dynamic voltage-scheduling (DVS) framework, which involves dynamically adjusting the voltage and...
Ruibin Xu, Chenhai Xi, Rami G. Melhem, Daniel Moss...
INFOCOM
2000
IEEE
15 years 9 months ago
Egress Admission Control
—Allocating resources for multimedia traffic flows with real-time performance requirements is an important challenge for future packet networks. However, in large-scale networks,...
Coskun Cetinkaya, Edward W. Knightly
AUTOMATICA
2007
82views more  AUTOMATICA 2007»
15 years 4 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
COR
2008
69views more  COR 2008»
15 years 4 months ago
Single-machine group scheduling problems with deterioration consideration
In many realistic situations, a job processed later consumes more time than the same job when it is processed earlier; this phenomenon is known as deteriorating jobs. However, job...
Chin-Chia Wu, Yau-Ren Shiau, Wen-Chiung Lee