Journal on Communications ›› 2016, Vol. 37 ›› Issue (4): 44-52.doi: 10.11959/j.issn.1000-436x.2016071

• academic paper • Previous Articles     Next Articles

Software defined data center network with hybrid routing

Yue-ping CAI,Chang-ping WANG   

  1. College of Communication Engineering, Chongqing University, Chongqing 400030, China
  • Online:2016-04-25 Published:2016-04-26
  • Supported by:
    The National Natural Science Foundation of China;Research Fund of Young Scholars for the Doctoral Program of Higher Education of Ministry of Education;Scientific Research Foundation for the Returned Overseas Chinese Scholars of Ministry of Education

Abstract:

In the current data center networks, the flow size distribution is not uniform and the transmission performance requirements of elephant flows and mice flows are different. To address this issue, a software-defined hybrid routing (SHR) scheme was proposed. SHR differentiate data flows by statistical calculat nt flows utilize the adap-tive routing algorithm while the mice flows use the oblivious routing algorithm. SHR extends the OpenFlow scheme by offloading some basic functions such as flow statistical detection and mice flow forwarding to switches to reduce the switch-controller interaction overhead. Performance evaluations of SHR were carried out using the fat-tree network to-pology. Results show that SHR can effectively increase network throughput and reduce the flow dropping rate as well as packet delay compared with the traditional ECMP algorithm.

Key words: cloud computing, data center network, software defined network, routing algorithm, OpenFlow

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