On optimization of polling policy represented by neural network.

On optimization of polling policy represented by neural network.

This paper deals with the problem of scheduling a server in a polling system with multiple queues and complete information. We represent the polling policy by a neural network; namely, given the number of waiting customers in each queue, the server determines next queue he should visit according to...

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Détails bibliographiques
Publié dans:Computer communication review. 24, 4 (1994).
Auteur principal: Matsumoto, Yutaka
Format: Article
Langue:English
Sujets:
Computer systems organization.
Processor architectures.
Neural nets.
Theory of computation.
Analysis of algorithms and problem complexity.
Nonnumerical algorithms and problems.
Sequencing and scheduling.
Mathematics of computing.
Numerical analysis.
Queueing theory.
Algorithms.
Performance.
Theory.