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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:An-Yu Zhou,Hui-Qiang Wang,Pei-You Song.Graph Partitioning Method to Determine Servers Placement in CDN[J].Journal of Harbin Institute Of Technology(New Series),2013,20(2):61-68.DOI:10.11916/j.issn.1005-9113.2013.02.012.
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Graph Partitioning Method to Determine Servers Placement in CDN
Author NameAffiliation
An-Yu Zhou College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China 
Hui-Qiang Wang College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China 
Pei-You Song Dept.of Computer Science, University of New Mexico, Albuquerque, NM 87131, USA 
Abstract:
To determine CDN cache servers’ placement reasonably, an idea that using graph partitioning to solve the problem was put forward through theoretical analysis and the specific algorithm of partitioning was researched. The concept of graph partitioning for CDN was defined. The conditions of graph partitioning for CDN were demonstrated: the sum of the weights of the nodes in each subarea is as close as possible; edge cut between the subareas is as large as possible; internal nodes in each subarea are connected as far as possible. By reference to light vertex matching algorithm of graph partitioning for network simulation, a multilevel k-way algorithm of graph partitioning for CDN was proposed. The maximized edge cut k-way KL refinement algorithm was discussed. Graph partitioning is a feasible way to solve the problem of CDN servers’ placement. Multilevel k-way algorithm is a feasible algorithm for CDN graph partitioning.
Key words:  graph partitioning  CDN  servers  placement  matching algorithm
DOI:10.11916/j.issn.1005-9113.2013.02.012
Clc Number:TP393.07
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