Title :
cCluster: A highly scalable and elastic OpenFlow control plane
Author :
Kun Qiu;Renlong Tu;Siyuan Huang;Jin Zhao;Xin Wang
Author_Institution :
School of Computer Science, Fudan University, Shanghai, China, Engineering Research Center of Cyber Security Auditing and Monitoring, Ministry of Education, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
OpenFlow has been widely used in Software Defined Networking (SDN) to customize data plane behaviors through policies given by a logically centralized controller. The centralized control plane design brings the potential of simplifying network management, but it also raises scalability concern for large-scale networks. In this paper, we aim to build a highly scalable and flexible OpenFlow control plane. We propose the design and implementation of cCluster, which leverage the parallelism of cluster to balance the control plane load. Compared with existing solutions, cCluster can achieve better scalability, and can enable elastic management. We evaluated the scalability and response time of cCluster using Mininet, and our results show that cCluster can serve thousands of flow entries simultaneously, with only slightly latency penalty.
Keywords :
"Control systems","Scalability","Servers","Delays","Quality of service","Databases","Load management"
Conference_Titel :
Quality of Service (IWQoS), 2015 IEEE 23rd International Symposium on
DOI :
10.1109/IWQoS.2015.7404728