scholarly journals Virtual Network Embedding Based on Security Level with VNF Placement

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Dhanu Dwiardhika ◽  
Takuji Tachibana
Keyword(s):  
Network Security ◽  
Virtual Network ◽  
Security Level ◽  
Virtual Network Embedding ◽  
Virtual Networks ◽  
Network Embedding ◽  
Numerical Examples ◽  
Substrate Network ◽  
The Cost

In this paper, in order to embed virtual networks by considering network security, we propose a virtual network embedding based on security level with VNF placement. In this method, virtual networks are embedded in a substrate network by considering security and some security VNFs are placed in order to increase the security level of substrate networks. By using our proposed method, many virtual networks can be embedded by considering security level. As a result, the reward can be increased and the cost of placing VNFs is not increased so much. We evaluate the performance of our proposed method with simulation. The performance of this method is compared with the performance of a method that places VNFs randomly and the performance of a method without placing VNFs. From numerical examples, we investigate the effectiveness of this method. In numerical examples, we show that the proposed method is effective in embedding virtual networks by considering network security.

Assignment of Virtual Networks to Substrate Network for Software Defined Networks

2018 ◽  
Vol 8 (4) ◽  
pp. 29-48
Author(s):  
Ali Akbar Nasiri ◽  
Farnaz Derakhshan
Keyword(s):  
Virtual Network ◽  
Management Service ◽  
Virtual Network Embedding ◽  
Virtual Networks ◽  
Network Embedding ◽  
Network Resources ◽  
Central Controller ◽  
Network Controller ◽  
Physical Resources ◽  
Substrate Network

Assigning multiple virtual network resources to physical network resources, called virtual network embedding (VNE), is known to be non-deterministic polynomial-time hard (NP-hard) problem. Currently software-defined networking (SDN) is gaining popularity in enterprise networks to improve the customizability and flexibility in network management service and reduced operational cost. A central controller in SDNs is an important factor that we need to take care of when we want to assign virtual networks to physical resources. In this work, we address virtual network embedding problems for SDNs. Indeed, our objective is to propose a method to assign virtual networks in the substrate network with minimum physical resources, and also minimizing delays between the virtual network controller and the switches in the virtual network. Our proposed algorithm considers the link and node constraints such as CPU and bandwidth constraints which is necessary to consider when we try to solve virtual network embedding problems.

scholarly journals Virtual Network Embedding: A Hybrid Vertex Mapping Solution for Dynamic Resource Allocation

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Adil Razzaq ◽  
Markus Hidell ◽  
Peter Sjödin
Keyword(s):  
Network Virtualization ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Virtual Networks ◽  
Network Embedding ◽  
Mapping Approach ◽  
Resource Requirements ◽  
Mapping Process ◽  
Dynamic Resource ◽  
Mapping Solution

Virtual network embedding (VNE) is a key area in network virtualization, and the overall purpose of VNE is to map virtual networks onto an underlying physical network referred to as a substrate. Typically, the virtual networks have certain demands, such as resource requirements, that need to be satisfied by the mapping process. A virtual network (VN) can be described in terms of vertices (nodes) and edges (links) with certain resource requirements, and, to embed a VN, substrate resources are assigned to these vertices and edges. Substrate networks have finite resources and utilizing them efficiently is an important objective for a VNE method. This paper analyzes two existing vertex mapping approaches—one which only considers if enough node resources are available for the current VN mapping and one which considers to what degree a node already is utilized by existing VN embeddings before doing the vertex mapping. The paper also proposes a new vertex mapping approach which minimizes complete exhaustion of substrate nodes while still providing good overall resource utilization. Experimental results are presented to show under what circumstances the proposed vertex mapping approach can provide superior VN embedding properties compared to the other approaches.

scholarly journals Clustering-based energy-aware virtual network embedding

2017 ◽  
Vol 13 (8) ◽  
pp. 155014771772671
Author(s):  
Xu Liu ◽  
Zhongbao Zhang ◽  
Junning Li ◽  
Sen Su
Keyword(s):  
Energy Consumption ◽  
Energy Cost ◽  
State Of The Art ◽  
Electricity Price ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Virtual Networks ◽  
Network Embedding ◽  
Energy Aware ◽  
Physical Network

Virtual network embedding has received a lot of attention from researchers. In this problem, it needs to map a sequence of virtual networks onto the physical network. Generally, the virtual networks have topology, node, and link constraints. Prior studies mainly focus on designing a solution to maximize the revenue by accepting more virtual networks while ignoring the energy cost for the physical network. In this article, to bridge this gap, we design a heuristic energy-aware virtual network embedding algorithm called EA-VNE-C, to coordinate the dynamic electricity price and energy consumption to further optimize the energy cost. Extensive simulations demonstrate that this algorithm significantly reduces the energy cost by up to 14% over the state-of-the-art algorithm while maintaining similar revenue.

A Fair Virtual Network Embedding Algorithm

2014 ◽  
Vol 1049-1050 ◽  
pp. 1454-1457
Author(s):  
Cong Wang ◽  
Ying Yuan ◽  
Cong Wan
Keyword(s):  
Disperse Particle ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Transformation Mechanism ◽  
Network Resource ◽  
Topological Transformation ◽  
Swarm Optimization ◽  
Transformation Procedure ◽  
Substrate Network

Efficient network resource utilization is crucial in Virtual Network Embedding (VNE) problem. The diversity of virtual topologies belong to various services providers (SPs) severely affects the efficiency of VNE algorithms and fairness between SPs. This paper proposes a fair VNE algorithm with a topological transformation mechanism. Such mechanism will transform virtual topology to reduce complexity. Then the algorithm will felicitously map the virtual network onto substrate network through a Disperse Particle Swarm Optimization (DPSO) based process. Simulation results show that due to the topological transformation procedure the algorithm can achieve more fairness than traditional VNE algorithms.

scholarly journals Toward efficient dynamic virtual network embedding strategy for cloud networks

2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876478 ◽  
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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