Journal on Communications ›› 2019, Vol. 40 ›› Issue (11): 45-56.doi: 10.11959/j.issn.1000-436x.2019215

• Papers • Previous Articles     Next Articles

Multi-service differentiated traffic management optimization strategy in cloud data center

Yaomin WANG,Xia WANG,Yi DONG,Lian GAO,Songhai ZHANG,Xinling SHI   

  1. School of Information,Yunnan University,Kunming 650504,China
  • Revised:2019-08-26 Online:2019-11-25 Published:2019-12-06
  • Supported by:
    The National Natural Science Foundation of China(81771928);The National Natural Science Foundation of China(61561049)

Abstract:

In order to cope with the traffic management for multi-service differentiated in cloud data centers,improving network performance and service experience,the multi-service differentiated (MSD) traffic management model was designed that can suit operational requirements in cloud data center.Fibonacci tree optimization (FTO) algorithm was improved according to the MSD model.MSD-FTO traffic management strategy was proposed in SDN cloud data center.Simulation results show that the strategy takes advantage of FTO global optimization ability and multi-modal adaptive performance.Through the global local alternating optimization of the algorithm,differentiation traffic management schemes are obtained as needed,the problem of multi-services differentiated traffic management is solved in operator cloud data center that improve network performance and service experience in cloud data center effectively.

Key words: cloud data center, MSD, traffic management, FTO, multi-modal adaptive optimization

CLC Number: 

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