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AIPS
2006
13 years 11 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
CAV
2010
Springer
214views Hardware» more  CAV 2010»
14 years 1 months ago
Learning Component Interfaces with May and Must Abstractions
elor Thesis: Demand Driven Abstraction Refinement • Advisor: Dr. Andrey Rybalchenko Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, ...
Rishabh Singh, Dimitra Giannakopoulou, Corina S. P...
PPAM
2007
Springer
14 years 3 months ago
A Formal Model of Multi-agent Computations
Abstract. The paper contains an extension of a formal model of multiagent computing system developed in previous publications towards considering a more general system state. We pr...
Maciej Smolka
CLUSTER
2009
IEEE
14 years 1 months ago
Analytical modeling and optimization for affinity based thread scheduling on multicore systems
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Fengguang Song, Shirley Moore, Jack Dongarra
IPPS
2006
IEEE
14 years 3 months ago
A hierarchical scheduling model for component-based real-time systems
In this paper, we propose a methodology for developing component-based real-time systems based on the concept of hierarchical scheduling. Recently, much work has been devoted to t...
José L. Lorente, Giuseppe Lipari, Enrico Bi...