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Associate Professor Keisuke Ishibashi Wins 2018 Institute of Electronics, Information and Communication Engineers Best Paper Award
Update: June 17, 2019

ICU's Associate Professor Keisuke Ishibashi (major: Information Science) won the 2018 Institute of Electronics, Information and Communication Engineers Best Paper Award on June 6 (Thurs.)
The award is given to excellent papers that contribute to the development of studies and technology related to electronics and information communication among papers published in the Journal of Institute of Electronics, Information and Communication Engineers. In the current fiscal year, three papers from 474 papers in the information communication field were chosen for the award.
Title of paper:
Separating Predictable and Unpredictable Flows via Dynamic Flow ining for Effective Traffic Engineering
Award recipients (without honorifics):
Yousuke Takahashi, (NTT Communications Corporation), Keisuke Ishibashi (ICU), Masayuki Tsujino (Nippon Telegraph and Telephone Corporation), Noriaki Kamiyama (Fukuoka University), Kohei Shiomoto (Tokyo City University), Tatsuya Otoshi (Osaka University), Yuichi Ohsita (Osaka University), Masayuki Murata (Osaka University)
Paper summary:
The volume of information traffic in networks is growing by the day and the importance of traffic engineering that dynamically controls the routes to accommodate efficient traffic transmission using limited network resources is increasing. Effectiveness of traffic engineering depends on the accuracy of traffic prediction, but the diversification of contents has made it increasingly difficult to predict traffic.
In this paper, we separated the components of traffic into predictable ones and hard-to-predict ones and came up with a method to selectively apply routes - highly optimal routes with high resource utilization efficiency based on traffic prediction results to predictable components and routes that reduce convergence risks with slightly lower resource utilization efficiency to hard-to-predict components.
Comment on receiving the award:
I feel honored to have received the award. The research is the result of joint work with Mr. Yosuke Takahashi, the first author, and other co-authors in my previous position at a research center of NTT . Utilization of resources in a situation where demand fluctuation is high and prediction is difficult has become an important theme and I believe that our approach towards the issue was rated highly. Similar approaches can be applied in resources other than information communication networks. I would like to continue conducting my research to advance information communication networks and at the same time pay attention to wide-ranging applications.