A job scheduling approach based on a learning automaton for a distributed computing system

DOI10.1080/00207729308949555zbMath0771.68031OpenAlexW2053194017MaRDI QIDQ5289314

Sheng-De Wang, Zen-Kwei Huang

Publication date: 23 August 1993

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729308949555

zbMATH Keywords

learning schemestochastic learning automatondistributed scheduling algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Stochastic systems in control theory (general) (93E03)

Cites Work

• The use of learning algorithms in telephone traffic routing - a methodology
• An optimal learning algorithm for S-model environments
• A new approach to the design of reinforcement schemes for learning automata
• epsilon -optimal discretized linear reward-penalty learning automata
• Learning control of finite Markov chains with an explicit trade-off between estimation and control
• Cooperative Distributed Algorithms for Dynamic Cycle Prevention
• Learning Automata - A Survey
• Stochastic Automata Games

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