Title :
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
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;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-5034-1
DOI :
10.1109/IMCCC.2012.242
