SciELO - Scientific Electronic Library Online

 
vol.19 número2Understanding Notional Machines through Traditional Teaching with Conceptual Contraposition and Program Memory Tracing índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Links relacionados

Compartilhar


CLEI Electronic Journal

versão On-line ISSN 0717-5000

Resumo

DAVALOS, Enrique; ACEVAL², Cristian; FRANCO, Víctor  e  BARAN, Benjamín. A Multi-Objective Approach for VNE: Problems using multiple ILP formulations. CLEIej [online]. 2016, vol.19, n.2, pp.2-2. ISSN 0717-5000.

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

Palavras-chave : ILP; VNE; Virtual network embedding; Network virtualization; Multi-objective optimization.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons