Journal on Communications ›› 2018, Vol. 39 ›› Issue (11): 54-62.doi: 10.11959/j.issn.1000-436x.2018235

• Papers • Previous Articles     Next Articles

Resource optimization algorithm of combination of NFV and SDN for application of multiple services

Xiaorong ZHU(),Qian ZHANG   

  1. College of Communications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Revised:2018-05-10 Online:2018-11-01 Published:2018-12-10
  • Supported by:
    The National Natural Science Foundation of China(61871237);The Natural Science Foundation of the Higher Education Institutions of Jiangsu Province(16KJA510005);Postgraduate Research & Practice Innovation Program of Jiangsu Province(KYCX17_0767)

Abstract:

Various services of internet of things (IoT) require flexible network deployment to guarantee different quality of service (QoS).Aiming at the problem of IoT service function chain deployment,network function virtualization (NFV) and software defined networking (SDN) were combined to optimize resources.Considering forwarding cost and traffic load balance,a joint optimization model of virtual network function placement and service function chain routing was given and was proved to be NP-Hard.In order to solve this model,two heuristic algorithms were proposed.One was the service chain deployment algorithm of first routing then placing (FRTP) and the other was the placing followed by routing (PFBR) based on node priority.Simulation results demonstrate that FRTP and PFBR algorithm can significantly balance network traffic load while alleviating congestion and improving the acceptance ratio of the chain requests compared with other algorithms.

Key words: internet of things, VNF, service function chain deployment, node priority, load balance

CLC Number: 

No Suggested Reading articles found!