Based on the Fuzzy Clustering Algorithm of the Classification of the Cluster CDN Users Design

Author

Xiaoguo Liu ; Tian Jing

Author_Institution

Jilin Agric. Univ., Changchun, China

fYear

2012

fDate

8-10 Dec. 2012

Firstpage

1025

Lastpage

1028

Abstract

The research to improve the performance of network problems, in order to improve the CDN network of user division to solve problems, and put forward a kind of fuzzy clustering algorithm to differentiate the user cluster load balance algorithm, using this algorithm CDN user cluster, can detect the results from the client, update maintenance global load balance of content routing table, the user request redirect to more precise edge servers, improve service percentage. Make the content of the users need timely release, alleviate network congestion problem, enhance the user access to the network response speed.

Keywords

computer networks; fuzzy set theory; pattern classification; pattern clustering; resource allocation; CDN network; cluster CDN users design classification; content distribution network; content routing table; edge server; fuzzy clustering algorithm; network congestion problem; network response speed; service percentage; user access; user cluster load balance algorithm; user division; Algorithm design and analysis; Clustering algorithms; Data mining; IP networks; Linear programming; Routing; Servers; clustering algorithm; data mining; elient-side probe; global load balanceing; user clustering;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4673-5034-1

Type

conf

DOI

10.1109/IMCCC.2012.242

Filename

6429078