
FOLLOWUS
1.National Key Laboratory of Parallel and Distributed Processing, National University of Defense Technology, Changsha 410073, China
2.School of Computer, National University of Defense Technology, Changsha 410073, China
3.China Electronic Systems Engineering Corporation, Beijing 100039, China
4.The Northern Institute of Electronic Equipment of China, Beijing 100083, China
[ "Xiao-ling LI, nudtlxl@163.com" ]
收稿:2011-09-26,
修回:2012-;2-;8,
纸质出版:2012-03
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Topology awareness algorithm for virtual network mapping[J]. 信息与电子工程前沿(英文), 2012,13(3):178-186.
Xiao-ling LI, Huai-min WANG, Chang-guo GUO, et al. Topology awareness algorithm for virtual network mapping[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(3): 178-186.
Topology awareness algorithm for virtual network mapping[J]. 信息与电子工程前沿(英文), 2012,13(3):178-186. DOI: 10.1631/jzus.C1100282.
Xiao-ling LI, Huai-min WANG, Chang-guo GUO, et al. Topology awareness algorithm for virtual network mapping[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(3): 178-186. DOI: 10.1631/jzus.C1100282.
Network virtualization is recognized as an effective way to overcome the ossification of the Internet. However
the virtual network mapping problem (VNMP) is a critical challenge
focusing on how to map the virtual networks to the substrate network with efficient utilization of infrastructure resources. The problem can be divided into two phases: node mapping phase and link mapping phase. In the node mapping phase
the existing algorithms usually map those virtual nodes with a complete greedy strategy
without considering the topology among these virtual nodes
resulting in too long substrate paths (with multiple hops). Addressing this problem
we propose a topology awareness mapping algorithm
which considers the topology among these virtual nodes. In the link mapping phase
the new algorithm adopts the k-shortest path algorithm. Simulation results show that the new algorithm greatly increases the long-term average revenue
the acceptance ratio
and the long-term revenue-to-cost ratio (
R
/
C
).
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