Novel Node-Ranking Approach for SDN-Based Virtual Network Embedding

Network virtualization is considered as a key technology for the future network. The emergence of software-defined network (SDN) provides a platform for the research and development of network virtualization. One of the key challenges in network virtualization is virtual network embedding (VNE). Some of the previous VNE algorithms perform virtual node embedding, which combines the nodes’ resource attributes and local topology attributes by arithmetic operations. On the one hand, it is not easy to distinguish the topological differences between SN and VN only by simple topology metrics. On the other hand, it is easy to ignore the different weight impacts of different metrics using only arithmetic operations, which will lead to an unbalanced embedding solution. To deal with these issues, we propose a novel node-ranking approach based on topology-differentiating (VNE-NRTD) for SDN-based virtual network embedding. Owing to the topological difference between SN and VN, different node metrics are used to quantify the substrate nodes and virtual nodes, respectively. Then, the nodes are ranked using the modified set pair analysis (SPA) method to avoid the unbalanced embedding solution. On this basis, we introduce the global bandwidth of the network topology into node-ranking to further improve the efficiency of node embedding. The simulation results show that the VNE-NRTD algorithm proposed in this paper outperforms other latest heuristic algorithms in terms of the VNR acceptance ratio, long-term average R/C ratio, substrate node utilization, and substrate link utilization.

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EPVNE: An Efficient Parallelizable Virtual Network Embedding Algorithm

Wireless Communications and Mobile Computing ◽

10.1155/2019/8416592 ◽

2019 ◽

Vol 2019 ◽

pp. 1-10

Author(s):

Yuanzhen Li ◽

Yingyu Zhang

Keyword(s):

Heuristic Algorithms ◽

Network Virtualization ◽

Research Work ◽

Virtual Network ◽

Virtual Network Embedding ◽

Network Embedding ◽

Virtual Node ◽

Mapping Algorithm ◽

Acceptance Ratio ◽

Multiple Substrate

Virtual network embedding (VNE) problem is a key issue in network virtualization technology, and much attention has been paid to the virtual network embedding. However, very little research work focuses on parallelized virtual network embedding problems which assumes that the substrate infrastructure supports parallel computing and allows one virtual node to be mapped to multiple substrate nodes. Based on the work of Liang and Zhang, we extend the well-known VNE to parallelizable virtual network embedding (PVNE) in this paper. Furthermore, to the best of our knowledge, we give the first formulation of the PVNE problem. A new heuristic algorithm named efficient parallelizable virtual network embedding (EPVNE) is proposed to reduce the cost of embedding the VN request and increase the VN request acceptance ratio. EPVNE is a two-stage mapping algorithm, which first performs node mapping and then performs link mapping. In the node mapping phase, we present a simple and efficient virtual node and physical node sorting formula and perform the virtual node mapping in order. When mapping virtual nodes, we map virtual nodes to physical nodes that just meet the CPU requirements. Substrate nodes with more CPU resources will be retained for subsequent virtual network mapping requests. In the link mapping phase, Dijkstra’s algorithm is used to find a substrate path for each virtual link. Finally, simulations are carried out and simulation results show that our algorithm performs better than the existing heuristic algorithms.

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Membrane Computing Based Virtual Network Embedding Algorithm with Path Splitting

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.687-691.2997 ◽

2014 ◽

Vol 687-691 ◽

pp. 2997-3002 ◽

Cited By ~ 1

Author(s):

Qi Lian ◽

Zhi Qiang Wu

Keyword(s):

Membrane Computing ◽

Network Virtualization ◽

Future Internet ◽

Virtual Network ◽

Virtual Network Embedding ◽

Network Embedding ◽

Acceptance Ratio ◽

Virtual Links ◽

Average Revenue

Network virtualization is recognized as an important enabler technology to diversify the future Internet and the Virtual Network Embedding problem is major challenge to fulfill it. In this paper, we proposed a parallel Virtual Network Embedding algorithm with Path splitting on the basis of membrane Computing (VNEPC). And more importantly, it is one phase embedding algorithm that maps virtual nodes and virtual links in the same phase without decomposing the VNE problem. Extensive simulation results show that our proposed VNEPC algorithm outperforms the existing algorithms in long-term average revenue, acceptance ratio and long-term R/C ratio.

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Toward efficient dynamic virtual network embedding strategy for cloud networks

International Journal of Distributed Sensor Networks ◽

10.1177/1550147718764789 ◽

2018 ◽

Vol 14 (3) ◽

pp. 155014771876478 ◽

Cited By ~ 1

Author(s):

Duc-Lam Nguyen ◽

Hyungho Byun ◽

Naeon Kim ◽

Chong-Kwon Kim

Keyword(s):

Network Virtualization ◽

Virtual Network ◽

Virtual Network Embedding ◽

Virtual Networks ◽

Network Embedding ◽

Acceptance Ratio ◽

Computing Services ◽

Virtual Links ◽

Physical Infrastructure ◽

Cloud Computing Services

Network virtualization is one of the most promising technologies for future networking and considered as a critical information technology resource that connects distributed, virtualized cloud computing services and different components such as storage, servers, and application. Network virtualization allows multiple virtual networks to coexist on the same shared physical infrastructure simultaneously. One of crucial factors in network virtualization is virtual network embedding which provisions a method to allocate physical substrate resources to virtual network requests. In this article, we investigate virtual network embedding strategies and related issues for resource allocation of an Internet provider to efficiently embed virtual networks that are requested by virtual network operators who share the same infrastructure provided by the Internet provider. In order to achieve that goal, we design a heuristic virtual network embedding algorithm that simultaneously embeds virtual nodes and virtual links of each virtual network request onto the physic infrastructure. Via extensive simulations, we demonstrate that our proposed scheme significantly improves the performance of virtual network embedding by enhancing the long-term average revenue as well as acceptance ratio and resource utilization of virtual network requests compared to prior algorithms.

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A Virtual Network Embedding Algorithm Based on Cellular Automata Genetic Mechanism

MATEC Web of Conferences ◽

10.1051/matecconf/201823201019 ◽

2018 ◽

Vol 232 ◽

pp. 01019 ◽

Cited By ~ 1

Author(s):

Lei Zhuang ◽

Guoqing Wang ◽

Ming Wang ◽

Kunli Zhang

Keyword(s):

Genetic Algorithm ◽

Cellular Automata ◽

Heuristic Algorithms ◽

Optimal Solution ◽

Virtual Network ◽

Genetic Mechanism ◽

Virtual Network Embedding ◽

Network Embedding ◽

Acceptance Ratio ◽

Np Hard Problem

The optimal embedding problem of virtual network requests, which satisfies nodes and link constraints, is a NP-hard problem. Heuristic algorithms solve the problem with the mathematical model optimization, but it fails to consider the influence of the virtual network embedding node itself on the optimal solution. So the cellular automata genetic mechanism is introduced into the problem, and the virtual network embedding algorithm based on cellular genetic algorithm (VNE-CGA) has been proposed. VNE-CGA uses the cellular automata to model the node, and replaces the "B4567/S1234" rule with the crossover operation in genetic algorithm. Through learning from neighbours to guide the individual's optimization process, VNECGA improves the inherent defects of traditional genetic algorithm. The experimental results show that the request acceptance ratio and the long-term average revenue increase about 5% and 12%.

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