15 search results - page 2 / 3 » A Hybrid Reinforcement Learning Approach to Autonomic Resour... |
CSE
2008
IEEE
13 years 11 months ago
2008
IEEE
Ad-hoc Grids are highly heterogeneous and dynamic networks, one of the main challenges of resource allocation in such environments is to find mechanisms which do not rely on the ...
MACE
2009
Springer
13 years 11 months ago
2009
Springer
Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...
AUSAI
2005
Springer
13 years 10 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
AUSAI
2005
Springer
13 years 10 months ago
2005
Springer
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
ICAC
2006
IEEE
13 years 11 months ago
2006
IEEE
Abstract— Shared computing utilities allocate compute, network, and storage resources to competing applications on demand. An awareness of the demands and behaviors of the hosted...