• DocumentCode
    687813
  • 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
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    2294
  • Lastpage
    2299
  • 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);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2013.6831416
  • Filename
    6831416