Adaptive routing algorithm for network load balancing

This paper introduces a routing algorithm which distributes the network traffic for each feasible route based on the reinforcement learning scheme. The aim of this algorithm is to reduce the transfer delay caused by congestion of the network. Most routing algorithms based on the reinforcement learni...

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Bibliographic Details
Published in:IEEJ transactions on electrical and electronic engineering 2011-09, Vol.6 (5), p.441-449
Main Authors: Une, Hiroyuki, Qian, Fei, Hirata, Hironori
Format: Article
Language:English
Subjects:
Algorithms
ant colony optimization
Applied sciences
Boundaries
Circuit properties
Circuits of signal characteristics conditioning (including delay circuits)
Computer networks
Disturbances. Regulation. Protection
Electric, optical and optoelectronic circuits
Electrical engineering. Electrical power engineering
Electrical power engineering
Electronic circuits
Electronics
Exact sciences and technology
load balancing
Networks
Packets (communication)
Power networks and lines
Reinforcement
reinforcement learning
Routing (telecommunications)
routing algorithm
TCP (protocol)
Users connections and in door installation
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Summary:This paper introduces a routing algorithm which distributes the network traffic for each feasible route based on the reinforcement learning scheme. The aim of this algorithm is to reduce the transfer delay caused by congestion of the network. Most routing algorithms based on the reinforcement learning scheme could not avoid forwarding traffic toward the source of data packets. This property creates transfer loops and a lot of packet loss. In particular, the transfer loop may cause change in the order of packets, and also retransmit on the TCP connection. Thus, we employ a method that estimates the lower boundary of the probability for valid route to the destination, and this lower boundary can be used to reject the routes which cause the transfer loop. © 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
ISSN:1931-4973
1931-4981
1931-4981
DOI:10.1002/tee.20680