A virtual network mapping algorithm based on subgraph isomorphism detection
Jens Lischka,Holger Karl +1 more
- 17 Aug 2009
- pp 81-88
TL;DR: A Virtual Network Mapping (VNM) algorithm based on subgraph isomorphism detection: it maps nodes and links during the same stage and is faster than the two stage approach, especially for large virtual networks with high resource consumption which are hard to map.
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Abstract: Assigning the resources of a virtual network to the components of a physical network, called Virtual Network Mapping, plays a central role in network virtualization. Existing approaches use classical heuristics like simulated annealing or attempt a two stage solution by solving the node mapping in a first stage and doing the link mapping in a second stage.The contribution of this paper is a Virtual Network Mapping (VNM) algorithm based on subgraph isomorphism detection: it maps nodes and links during the same stage. Our experimental evaluations show that this method results in better mappings and is faster than the two stage approach, especially for large virtual networks with high resource consumption which are hard to map.
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Figures

Figure 8: Runtimes of vnmFlib and 2stage algorithms for VNs of different size n and β values. 
Figure 9: R/C-Ratios of vnmFlib and 2stage algorithms for VNs of different size n and β values. 
Figure 1: Example of virtual network mapping 
Figure 11: Percentage of total revenue in relation to Splitting Ratio for vnmFlib and 2stage 
Figure 12: Evaluation environment for dynamicly arriving VNRs 
Figure 10: Runtime in relation to Splitting Ratio for vnmFlib and 2stage
Citations
Virtual Network Embedding: A Survey
TL;DR: A survey of current research in the Virtual Network Embedding (VNE) area is presented and a taxonomy of current approaches to the VNE problem is provided and opportunities for further research are discussed.
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ViNEYard: virtual network embedding algorithms with coordinated node and link mapping
TL;DR: A collection of VN embedding algorithms that leverage better coordination between the node mapping and link mapping phases and show that the proposed algorithms increase the acceptance ratio and the revenue while decreasing the cost incurred by the substrate network in the long run.
863
Virtual network embedding through topology-aware node ranking
Xiang Cheng,Sen Su,Zhongbao Zhang,Hanchi Wang,Fangchun Yang,Yan Luo,Jie Wang +6 more
- 15 Apr 2011
TL;DR: The Markov Random Walk model is applied to rank a network node based on its resource and topological attributes and shows that the topology-aware node rank is a better resource measure and the proposed RW-based algorithms increase the long-term average revenue and acceptance ratio.
QoS-Aware Deployment of IoT Applications Through the Fog
Antonio Brogi,Stefano Forti +1 more
TL;DR: A simple, yet general, model to support the QoS-aware deployment of multicomponent IoT applications to Fog infrastructures is proposed and a Java tool, FogTorch, based on the proposed model has been prototyped.
SVNE: Survivable Virtual Network Embedding Algorithms for Network Virtualization
TL;DR: This paper formulates the survivable virtual network embedding (SVNE) problem, develops a pro-active, and a hybrid policy heuristic to solve it, and develops a baseline policy heuristics to compare to.
265
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Minlan Yu,Yung Yi,Jennifer Rexford,Mung Chiang +3 more
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TL;DR: This paper simplifies virtual link embedding by allowing the substrate network to split a virtual link over multiple substrate paths and employing path migration to periodically re-optimize the utilization of the substrates network.
Algorithms for Assigning Substrate Network Resources to Virtual Network Components
Zhu Yong,Mostafa H. Ammar +1 more
- 23 Apr 2006
TL;DR: This paper develops a basic scheme as a building block for all other advanced algorithms of the VN assignment problem and develops a selective VN reconfiguration scheme that prioritizes the reconfigurations of the most critical VNs.
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