DocumentCode
3394303
Title
Virtual network mapping algorithm for large-scale network environment
Author
Shun-li Zhang ; Qiu, Xue-song ; Luo-Ming Meng
Author_Institution
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2011
fDate
17-19 Aug. 2011
Firstpage
765
Lastpage
770
Abstract
A major challenge of network virtualization is the virtual network resource allocation problem that deals with efficient mapping of virtual nodes and virtual links onto the substrate network resources. However, existing algorithms are almost concentrated on the randomly small-scale network topology, which is not suitable for practical large-scale network environments, because more time is spent on traversing SN and VN, resulting in VN requests congestion. To address this problem, this paper proposes virtual network mapping algorithm for large-scale network based on small-world characteristic of complex network and network coordinate system. We compare our algorithm with algorithm D-ViNE. Experimental results show that our algorithm improves the overall performance.
Keywords
complex networks; computer networks; resource allocation; telecommunication network topology; virtualisation; D-ViNE algorithm; VN request congestion; complex network; large-scale network environment; network coordinate system; network visualization; randomly small-scale network topology; substrate network resource; virtual link; virtual network mapping algorithm; virtual network resource allocation problem; virtual nodes; Clustering algorithms; Communities; Complex networks; Partitioning algorithms; Resource management; Substrates; Tin; complex network; network coordinate system; network virtualization; simulated annealing algorithm; virtual network mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China (CHINACOM), 2011 6th International ICST Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-0100-9
Type
conf
DOI
10.1109/ChinaCom.2011.6158256
Filename
6158256
Link To Document