Topology generators for Software Defined Network testing

被引:0
作者
Nandi, Sunit Kumar [1 ]
机构
[1] Assam Engn Coll, Dept Comp Sci & Engn, Gauhati 781013, Assam, India
来源
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年
关键词
Software Defined Network; OpenFlow; Mininet; Topology generator;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Software Defined Networking (SDN) is the potential future backbone of all computer networking. The main advantage of SDN is that it separates the control plane from the data plane. This delegates switching/routing decisions to a controller that is connected to the switches. The connectivity of the switches and controllers can be represented as a network topology. Usually a network topology has to be developed manually by hand before it can be imported to a simulator/emulator (like Mininet) for testing and evaluation. To ease this tedious problem, two topology generators have been proposed and implemented in Mininet. The first is a random topology generator based on the Erdos-Renyi model and the second is a generator that uses a SNAP format dataset to build the topology. Both the generators have been tested by generating large-scale topologies and they have been found to be working as desired.
引用
收藏
页码:2984 / 2989
页数:6
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