A multi-objective approach for virtual network embedding

Dávalos, Enrique; Aceval, Cristian; Franco, Victor; Barán, Benjamín

doi:10.1109/clei.2015.7360004

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Currently, network virtualization technology has been utilized actively all over the world [1,2,3]. Much focus is being placed on network virtualization technology as one of new generation network technologies [4,5,6,7]. Multiple virtual networks are constructed by using the network virtualization technology on a substrate network with network resources such as memory, CPU, and bandwidth [8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Replacement Algorithm of Virtual Service Resources with Dynamic Resource Allocation Based on Traffic Change in Virtual Networks

Horiuchi¹,

Tachibana²

2018

JCN

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Multiple virtual networks are constructed by using network virtualization technology on a substrate network with network resources. By using virtual service resources, a particular service can be provided with users over each virtual network. Moreover, network virtualization for mobile users has been expected in the future network service. In mobile virtual networks, mobile user moves from a node to other nodes and connects to other access points frequently. Therefore, the traffic on each link and each node in the virtual network changes. Because the quality of the service depends on the amount of traffic on links and nodes, the quality of services changes according to the user's movement. This paper proposes replacement algorithm of virtual service resources with dynamic resource allocation based on traffic change for mobile applications in virtual networks. In our proposed method, the amount of resources for each node and that for each link are changed based on the traffic change. Moreover, the virtual service resource moves to the adjacent node from a node, and this replacement is repeated until the quality of service satisfies the requested quality. With our proposed method, it is expected that the quality of service can be maintained for mobile users even if the amount of traffic changes. We evaluate the performance of our proposed method with simulation. In numerical examples, it is shown that our proposed method is effective when a larger number users move and the amount of traffic changes.

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Section: Introductionmentioning

confidence: 99%

Replacement Algorithm of Virtual Service Resources with Dynamic Resource Allocation Based on Traffic Change in Virtual Networks

Horiuchi¹,

Tachibana²

2018

JCN

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Virtual network embedding in multi-domain environments with energy efficiency concepts

Araújo

Souza

Mateus

2018

2018 International Conference on Information Networking (ICOIN)

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A Multi-Objective Approach for VNE Problems using multiple ILP formulations

Dávalos

Aceval

Franco

et al. 2016

CLEIej

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Network Virtualization is a key technology for the Future Internet, allowing the deployment of multiple independent virtual networks that use resources of the same basic infrastructure. An important challenge in the dynamic provision of virtual networks resides in the optimal allocation of physical resources (nodes and links) to requirements of virtual networks. This problem is known as Virtual Network Embedding (VNE).For the resolution of this problem, previous research has focused on designing algorithms based on the optimization of a single objective. On the contrary, in this work we present a multi-objective algorithm, called VNE-MO-ILP, for solving dynamic VNE problem, which calculates an approximation of the Pareto Front considering simultaneously resource utilization and load balancing. Experimental results show evidences that the proposed algorithm is better or at least comparable to a state-of-the-art algorithm. Two performance metrics were simultaneously evaluated: (i) Virtual Network Request Acceptance Ratio and (ii) Revenue/Cost Relation.The size of test networks used in the experiments shows that the proposed algorithm scales well in execution times, for networks of 84 nodes.

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A multi-objective approach for virtual network embedding

Cited by 3 publications

References 13 publications

Replacement Algorithm of Virtual Service Resources with Dynamic Resource Allocation Based on Traffic Change in Virtual Networks

Replacement Algorithm of Virtual Service Resources with Dynamic Resource Allocation Based on Traffic Change in Virtual Networks

Virtual network embedding in multi-domain environments with energy efficiency concepts

A Multi-Objective Approach for VNE Problems using multiple ILP formulations

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