摘要：Containers, Dockers, and Software Defined Networks are one of the prominent topics in the market these days. In a wish to cater to new business needs of containers with clouds and linking all it to SDN gives promising results. To solve various issues like multiple located branch networks, high cost, technical resources required at each location, expertise requirement, decentralized control of network devices, dependency on separate VLANs for each branch, difficult traffic management, etc., we surveyed works of literature and studies for the various existing SDN controllers. In our paper, we have tried to predict the importance of using Dockers on the SDN Cloud Platform. Various Parameters like latency, throughput, bandwidth usage, availability, connectivity, packet loss, etc. have been used to check SDN performance with and without the use of Dockers. We have tried to provide detailed test analysis and results regarding various performance parameters based on the simulations on the Google Cloud Platform (GCP). Results on Dockers have been proven in terms of resource utilization; talk about CPU usage or memory usage; usage is rising exponentially in the case of VMs as compared to containers. Bootup latency time in Dockers is also almost half the time taken by VMs.
其他摘要：Containers, Dockers, and Software Defined Networks are one of the prominent topics in the market these days. In a wish to cater to new business needs of containers with clouds and linking all it to SDN gives promising results. To solve various issues like multiple located branch networks, high cost, technical resources required at each location, expertise requirement, decentralized control of network devices, dependency on separate VLANs for each branch, difficult traffic management, etc., we surveyed works of literature and studies for the various existing SDN controllers. In our paper, we have tried to predict the importance of using Dockers on the SDN Cloud Platform. Various Parameters like latency, throughput, bandwidth usage, availability, connectivity, packet loss, etc. have been used to check SDN performance with and without the use of Dockers. We have tried to provide detailed test analysis and results regarding various performance parameters based on the simulations on the Google Cloud Platform (GCP). Results on Dockers have been proven in terms of resource utilization; talk about CPU usage or memory usage; usage is rising exponentially in the case of VMs as compared to containers. Bootup latency time in Dockers is also almost half the time taken by VMs.
