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ICAC
2008
IEEE
16 years 1 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
16 years 2 days 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 11 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 6 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 6 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