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» Adaptive scheduling with parallelism feedback
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CCGRID
2008
IEEE
14 years 4 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...
HPDC
2010
IEEE
13 years 11 months ago
MOON: MapReduce On Opportunistic eNvironments
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...
Heshan Lin, Xiaosong Ma, Jeremy S. Archuleta, Wu-c...
IJHR
2008
117views more  IJHR 2008»
13 years 9 months ago
Implementation of Cognitive Control for a Humanoid Robot
Engineers have long used control systems utilizing models and feedback loops to control realworld systems. Limitations of model-based control led to a generation of intelligent co...
Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratana...
CORR
2007
Springer
154views Education» more  CORR 2007»
13 years 9 months ago
Application of a design space exploration tool to enhance interleaver generation
This paper presents a methodology to efficiently explore the design space of communication adapters. In most digital signal processing (DSP) applications, the overall performance ...
Cyrille Chavet, Philippe Coussy, Pascal Urard, Eri...
IPPS
2007
IEEE
14 years 4 months ago
Proxy-based Grid Information Dissemination
Resource scheduling in large-scale, volatile desktop grids is challenging because resource state is both dynamic and eclectic. Matching available resources with requests is not al...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...