Abstract

When the Great East Japan Earthquake occurred in 2011, the network connectivity was significantly degraded in the wide area due to the multiple network failures as well as the traffic congestion. When the network failures occurred in multiple areas, it was difficult to quickly recognize the entire network situation only using the network traffic monitor system. In our prior works, we found that SNS messages contain the useful information to recognize the big picture of the network failures and proposed the network control system using SNS messages to improve the quickness of the network recovery. As the another critical issue in case of a large-scale disaster, users could not obtain the emergency information due to the network disturbance because the current IP network is operated not being aware of the applications. Thus we propose the application specific traffic control system with failure detection function based on SNS message to prioritize the important application traffic in the event of the large-scale disaster. Based on a series of experiments, this paper shows the effectiveness of a system that detects connection failure based on social information and controls the network bandwidth for each application. Especially, we focus on application specific traffic control experiment. An automatic SDN control is performed with the network virtualization node FLARE having SDN extension capability as well as the network slicing capability. We perform the experiments to determine the type of application based on the traffic and perform bandwidth control for each application using real Internet applications.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.