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AMAI
2004
Springer
14 years 3 days ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
IPPS
2003
IEEE
13 years 12 months ago
Constrained Component Deployment in Wide-Area Networks Using AI Planning Techniques
Component-based models represent a dominant trend in the construction of wide-area network applications, making possible the integration of diverse functionality contained in modu...
Tatiana Kichkaylo, Anca-Andreea Ivan, Vijay Karamc...
SIAMSC
2008
179views more  SIAMSC 2008»
13 years 6 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros
CONCURRENCY
2002
230views more  CONCURRENCY 2002»
13 years 6 months ago
Economic models for resource management and scheduling in Grid computing
: The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promising next generation computing platforms. They enable the creation of Virtual Ent...
Rajkumar Buyya, David Abramson, Jonathan Giddy, He...
CP
2010
Springer
13 years 5 months ago
An Integrated Business Rules and Constraints Approach to Data Centre Capacity Management
A recurring problem in data centres is that the constantly changing workload is not proportionally distributed over the available servers. Some resources may lay idle while others ...
Roman van der Krogt, Jacob Feldman, James Little, ...