Experimental Analysis of Multiple SDN Controller

Author

Sudip Ghimire, Southern Illinois University CarbondaleFollow

Date of Award

12-1-2021

Degree Name

Master of Science

Department

Computer Science

First Advisor

Hexmoor, Henry

Abstract

As technology is moving toward cloud computing and virtualization it has led to the SDN paradigm, which separates the data plane from the control plane and places control at the application layer as opposed to the network layer. SDN provides dynamic and efficient configuration by switching control from to software. In comparison to traditional networks, it has a number of advantages, including lower costs, improved security, greater flexibility, and the prevention of vendor lock-in. As a result, SDN has become one of the essential solutions for replicating, re-policing, and re-configuring large-scale networks with periodic updates such as Data Centres. The most widely used SDN protocol/standard at the moment is OpenFlow, which includes design specifications. By integrating OpenFlow, data centers’ networking by making the network more consistent. A single controller architecture will be inefficient for such more extensive networks; thus recent Research has introduced software-defined with multiple controllers to the of High-availability and tolerance. Furthermore, there are a number of projects that offer SDN architecture, all of which need to be thoroughly analyzed based on their performance under various criteria in order to determine their efficiency. A comparison of the performance of multiple controller SDN architectures versus a single controller SDN architecture is presented in this paper. This study developed and examined the OpenDaylight SDN controller, using the Mininet as a network emulator. We perform a performance evaluation considering average throughput , Topology time, flow setup, table read time, flow deletion time considering different numbers of switch cases using Opendaylight Controller. Packet capturing and analysis under various conditions were performed in the experiment and presented as a graph. Under the high load, the cluster throughput and near to the mode. Further, we implement the Single controller connection for the switches and compare it against the normal all controller connection mode. We found that with a Single Controller connection in Cluster, the average topology discovery time, and flow setup time does improve. As a result, these experiments with SDN networks demonstrate that they can be improved under different network conditions.