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A Reliable Resource Scheduling for Network Function Virtualization

  • Daoqiang Xu
  • Yefei Li
  • Ming Yin
  • Xin LiEmail author
  • Hao Li
  • Zhuzhong Qian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10658)

Abstract

Network function virtualization (NFV) is designed to reduce high cost of the hardware deployment and maintenance, which will be of great importance in the future resource management. NFV makes it possible for general servers to realize fast deployment of network functions, namely virtual network function (VNF), to achieve on-demand requests. The service request is generally composed of a sequence of VNFs, which is defined as a service chain. Although one node (server) only run one VNF at a time, the VNF could be shared with several VNF chains. How to deploy VNF and share VNF to achieve high usage of both computing and bandwidth resource is a challenge. In this paper, we present the VNF request model and the formal definition of the VNF deployment problem. Then, we investigate the VNF reuse and deployment problem, and propose a greedy strategy to deploy VNFs, so that the system could effectively offer a reliable VNF service. Simulations show that this VNF deployment schema could effectively improve the resource usage compared with other classic algorithms.

Keywords

Network function virtualization Resource management VNF deployment Reliable method Virtual Network Embedding 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Daoqiang Xu
    • 1
  • Yefei Li
    • 2
  • Ming Yin
    • 3
  • Xin Li
    • 4
    Email author
  • Hao Li
    • 5
  • Zhuzhong Qian
    • 5
  1. 1.State Grid Jiangsu Electric Power CompanyNanjingChina
  2. 2.Jiang Su Frontier Electric Technology Co. Ltd.NanjingChina
  3. 3.State Grid Nanjing Power Supply CompanyNanjingChina
  4. 4.Nanjing University of Aeronautics and AstronauticsNanjingChina
  5. 5.State Key Laboratory for Novel Software TechnologyNanjing UniversityNanjingChina

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