After Eastern Japan earthquake which introduced huge disaster on March 11th, 2011, we recognized again that the communication is very important as the lifeline as well as electricity, water service, and the gas. From the view point of construction for access networks with high reliability, we believe that network design including the distribution of data center, monitoring and control of networks, and physical-resistant technologies are important and necessary. Furthermore, we learned the importance of collaborating with the government and the local communities in realizing disaster-resistant communications because truly strong, resilient and still cost-effective city requires good city planning. This tutorial introduces the future research and development for access networks to improve earthquake-resistant construction technologies considering cost-effectiveness.

This tutorial introduces responses of the Japanese government, local governments, and lifeline companies for the 2011 off the Pacific coast of Tohoku Earthquake and a vision of a disaster resilient society that should be realized toward the major catastrophe predicted to occur in near future. A resilient society is a society that is resistant to and resilient in disasters and crises. The use of information using next-generation information and communication technology (ICT), and organization framework and emergency management based on the incident command system (ICS) is needed to realize it.

The accurate classification of network applications or services responsible for network traffic flows offers substantial benefits to a number of essential areas in IP network engineering, management and surveillance. Internet traffic classification has been studied for a long period of time and a number of outstanding research results have been revealed based on various methods, such as header-based, payload-based, host-behavior-based, flow-statistics-based, etc. Nowadays industry and researcher are giving their attentions to the development of an application traffic classification system working on a high-speed network link in a real-time manner. This tutorial first covers various issues we have to consider in the development of a real-time application traffic classification system on a high-speed network link, where various recent classification methods will be covered in the perspective of their advantages and disadvantages. In the second part of this tutorial I will talk about our KU-MON traffic classification system which we developed and deployed on our campus network. This system pursues 100% of completeness and accuracy on a real operational network with over 1Gbps network link.