Decentralised grid scheduling approach based on multi‐agent reinforcement learning and gossip mechanism-Reference-Cited by-同舟云学术

Decentralised grid scheduling approach based on multi‐agent reinforcement learning and gossip mechanism

Published:2018-03 Issue:1 Volume:3 Page:8-17
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI Transactions on Intelligence Technology

Author:

Wu Jun¹,Xu Xin²

Affiliation:

1. College of Aerospace ScienceNational University of Defense TechnologyChangshaPeople's Republic of China

2. College of Mechatronics and Automation, National University of Defense TechnologyChangshaPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2018.0001

Reference39 articles.

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2. DongF.P.AklS.G.: ‘Scheduling algorithms for grid computing: state of the art and open problems’. Technical Report No. 2006‐504 School of Computing Queen's University Kingston Ontario Canada January2006

3. Computational models and heuristic methods for Grid scheduling problems

4. A discrete particle swarm optimization approach for grid job scheduling;Izakian H.;Int. J. Innov. Comput., Inf. Control,2010

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