Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

Research of a Weighted Multi-link Load Balance Network Model Based on P2P

Authors
Li Jiao, Liang Gongqian, Liu Tianshi
Corresponding Author
Li Jiao
Available Online June 2015.
DOI
10.2991/kam-15.2015.28How to use a DOI?
Keywords
communication weight; multi-link; communication algorithm; load balance; evaluation parameters.
Abstract

To solve P2P network load balance problem, this paper researches a weighted multi-link load balance network model based on P2P. Based on the model, it analyzes P2P communication algorithms, and then gives communication performance evaluation parameters. Finally, it summarizes the characteristics of the model. This model considers two important factors, namely, the node communication link number and the communication weight. In addition, the communication process is concurrent and without intermission, so the efficiency of network model is high. This model provides the theory reference for P2P network route decision scheme.

Copyright
© 2015, 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 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-87-5
ISSN
1951-6851
DOI
10.2991/kam-15.2015.28How to use a DOI?
Copyright
© 2015, 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  - Li Jiao
AU  - Liang Gongqian
AU  - Liu Tianshi
PY  - 2015/06
DA  - 2015/06
TI  - Research of a Weighted Multi-link Load Balance Network Model Based on P2P
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 100
EP  - 102
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.28
DO  - 10.2991/kam-15.2015.28
ID  - Jiao2015/06
ER  -