Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

Multiple Constrained QoS Routing Algorithm Based On Genetic Algorithm In Overlay Network

Authors
JunWei GE, JinXin Deng, YiQiu Fang
Corresponding Author
JunWei GE
Available Online February 2013.
DOI
10.2991/isccca.2013.192How to use a DOI?
Keywords
Overlay Network, QoS, Genetic Algorithm, Routing Select, Load Balancing
Abstract

How to depend on different services provide different guarantee of QoS, and to ensure the effective use of network resources will become an important task in overlay network. In this paper, we consider constraints of network bandwidth, delay, loss rate, cost ,and base on the resources of current global network, as well as user-specific QoS metric needs to choose the best QoS route based on genetic algorithm. Experiments show that the algorithm is feasible in overlay network routing,and it has the better global load balancing capabilities.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
10.2991/isccca.2013.192How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - JunWei GE
AU  - JinXin Deng
AU  - YiQiu Fang
PY  - 2013/02
DA  - 2013/02
TI  - Multiple Constrained QoS Routing Algorithm Based On Genetic Algorithm In Overlay Network
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 765
EP  - 767
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.192
DO  - 10.2991/isccca.2013.192
ID  - GE2013/02
ER  -