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Proposal of A Multi-agent Based Flexible IoT Edge Computing Architecture Harmonizing Its Control with Cloud Computing
时间:2017-10-16 14:43    点击:   所属单位:计算机学院
讲座名称 Proposal of A Multi-agent Based Flexible IoT Edge Computing Architecture Harmonizing Its Control with Cloud Computing
讲座时间 2017-10-23 14:00:00
讲座地点 北校区新科技楼 1012报告厅
讲座人 Norio Shiratori
讲座人介绍 Dr. Norio SHIRATORI received the B.E degree from Tokai University, Japan in 1972, and the M.E and Ph.D. degree in engineering from Tohoku University, Japan in 1974 and 1977, respectively. Currently, he is Professor of Chuo University, Japan (Apr. 2014-Present), Visiting Professor of the GITI (Graduate Information and Telecommunication Institute), Waseda University (2015-present). Dr. Shiratori is fellows of the IEEE (Institute of Electrical and Electronic Engineers), the JFES (The Japan Foundation of Engineering Societies), the IPSJ (Information Processing  Society of Japan), and the IEICE (The Institute of Electronics, Information and Communication Engineers). He is the former President of the IPSJ (2009-2011), Chair of the IEEE Sendai Section (2010-2011) and Vice Chair of the IEEE Japan Council (2013-2014). He also served as a Japanese delegate of the IFIP (International Federation for Information Processing, 2004-2005) and a member of the Science Council of Japan (Aug. 2006- Sept. 2011).
Dr. Shiratori is a recipient of numerous awards for his longtime contributions and dedications to researches. In international conferences, he received the 1) “Best Paper Award of IEEE ICOIN-9” (1994), 2) “Best Paper Award of IEEE 5th SCE01(World Multi-conference on Systemic, Cybernetics and Informatics)” (2001), 3) “Outstanding Paper Award of UIC-07” (2007), 4) “Best Paper Award, IEEE ICPADS 2000” (7th International Conference on Parallel and Distributed Systems), and many others.
讲座内容  On a large-scale IoT system based on cloud computing, problems such as increase of network load, delay in response, invasion of privacy, are concerned in recent years. As a solution to this problem, edge computing has introduced to the IoT systems. However, if you migrate the cloud function to the edge too much, the collected data cannot be shared between IoT systems and this decreases the usefulness of the IoT system. In this paper, we propose a multi-agent based flexible IoT edge computing architecture to balance global optimization by a cloud and local optimization by edges and to optimize the role of the cloud server and the edge servers dynamically. Also, as its application examples, we introduce an energy management system based on proposed edge computing system architecture to show the effectiveness of our proposal.
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