DocumentCode
2235244
Title
The location selection for CCN router based on the network centrality
Author
Jianfeng Guan ; Wei Quan ; Changqiao Xu ; Hongke Zhang
Author_Institution
State Key Lab. of Network & Switch Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2012
fDate
Oct. 30 2012-Nov. 1 2012
Firstpage
568
Lastpage
582
Abstract
Content-Centric Network (CCN) as one of the well-known Information Center Network (ICN) solutions has been getting more and more research recently. Different to the traditional Internet which is designed to connect the different terminals, CCN mainly focuses on the content delivery by enhancing the cache function of routers. However, in case of the interworking between the CCN and traditional Internet, we should carefully select the locations of CCN routers so that all the end users can get the better performance. So in this paper, we propose an evaluation metric called average content acquirement time based on the complex network centralities including the degree centrality, closeness centrality, betweenness centrality and eigenvector centrality to selection the location to acquire the tradeoff between deployment cost and service performance. We evaluate the average content acquirement time under different network centralities, and the results shows that the betweenness centrality has the better performance than others, and it can be used as a metric to select the location of CCR routers.
Keywords
Internet; telecommunication network routing; CCN router; Internet; closeness centrality; content-centric network; degree centrality; deployment cost; evaluation metric; information center network solutions; location selection; network centralities; network centrality; service performance; Barium; Internet; Measurement; Network topology; Routing; Routing protocols; Social network services; CCN; Location selection; network centrality;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-1855-6
Type
conf
DOI
10.1109/CCIS.2012.6664240
Filename
6664240
Link To Document