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AIPS
1998
13 years 10 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim
POLICY
2004
Springer
14 years 1 months ago
DecisionQoS: An Adaptive, Self-Evolving QoS Arbitration Module for Storage Systems
As a consequence of the current trend towards consolidating computing, storage and networking infrastructures into large centralized data centers, applications compete for shared ...
Sandeep Uttamchandani, Guillermo A. Alvarez, Gul A...
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 8 months ago
Optimal Scheduling of File Transfers with Divisible Sizes on Multiple Disjoint Paths
In this paper I investigate several offline and online data transfer scheduling problems and propose efficient algorithms and techniques for addressing them. In the offline case, ...
Mugurel Ionut Andreica
DAM
1998
65views more  DAM 1998»
13 years 8 months ago
Minimization of an M-convex Function
M-convex functions, introduced by Murota (1996, 1998), enjoy various desirable properties as “discrete convex functions.” In this paper, we propose two new polynomial-time sca...
Akiyoshi Shioura
CP
2004
Springer
14 years 1 months ago
A Hybrid Method for Planning and Scheduling
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve planning and scheduling problems. Tasks are allocated to facilities using MILP and sche...
John N. Hooker