Title :
Revenue-driven virtual network embedding based on global resource information
Author :
Long Gong ; Yonggang Wen ; Zuqing Zhu ; Lee, Taewoo
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Virtual network embedding (VNE), working as a key step for network virtualization, has recently gained intensive attentions from the research community. In this paper, we propose a novel VNE algorithm that aims to maximize the infrastructure provider´s revenue from serving virtual network (VN) requests, with the help of the global resource information. The proposed algorithm, named as revenue-driven VNE (RD-VNE), adopts a node-ranking approach that takes the global resource information into account in a recursive manner to assist the greedy node mapping, and leverages the shortest-path routing for link mapping. Our simulation results suggest that the proposed VNE algorithm outperforms two existing VNE algorithms that also take global resource information into consideration, in terms of request blocking probability, and brings higher time-average revenue to the infrastructure provider (InP).
Keywords :
Internet; graph theory; virtualisation; Internet; global resource information; greedy node mapping; link mapping; network virtualization; node-ranking approach; revenue-driven virtual network embedding; shortest-path routing; undirected graph; Bandwidth; Erbium; Indium phosphide; Network topology; Next generation networking; Substrates; Vectors; Global Resource Information; Network Virtualization; Node Ranking; PageRank; RD-VNE; Virtual Network Embedding (VNE);
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location :
Atlanta, GA
DOI :
10.1109/GLOCOM.2013.6831416