Traffic Control System Based on SNS Information in a Deeply Programmable Network

被引：0
|
作者：
Yanagida, Haruka [1 ]
Nakao, Akihiro [2 ]
Yamamoto, Shu [2 ]
Yamaguchi, Saneyasu [3 ]
Oguchi, Masato [1 ]
机构：
[1] Ochanomizu Univ, Bunkyo Ku, Tokyo, Japan
[2] Univ Tokyo, Bunkyo Ku, Tokyo, Japan
[3] Kogakuin Univ, Shinjuku Ku, Tokyo, Japan
来源：
2016 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING (CSCN) | 2016年
关键词：
SDN; OpenFlow; DPN; FLARE; SNS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
When the Great East Japan Earthquake occurred in 2011, telephone and Internet could not be used in many cases. To achieve network availability in disaster situations, we propose the traffic control system based on SNS information. In order to utilize the data of packet payload obtained from SNS, deeply programmable network (DPN), which is extending SDN as implementing programmable data plane and API (Southbound Interface), is needed. In this paper, we use the FLARE switch, which performs not only the function of OpenFlow but also the traffic classification based on the application, using data plane programmability and the content-based control of the packet payload. By using our proposed system, more flexible network control is achieved.
引用
收藏
页数：6
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