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英国埃塞克特大学(Exeter University)闵革勇教授讲座

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Speaker:  Professor Geyong Min, Chair in High PerformanceComputing and Networking, University of Exeter, UK

Time2016.09.06 13:30-14:30

Venue: 行政楼310会议室

Host: Liu Lei

 

 

Title:  BigData Driven Knowledge Discovery for Autonomic Future Internet

 

Abstract: Autonomic Future Internet(AFI) coupled with the emerging SDN/NFV technologies is regarded as a promisingand viable solution for addressing many grand challenges faced by 5G, such asexplosive growth of network data traffic, massive increase in the number ofinterconnected devices, and continuous emergence of new services andapplications. The ambition of AFI is to exploit an autonomic, intelligent andself-managing Future Internet with consequent improvement in network efficiencyand performance, increased profitability, and reduced OPEX and CAPEX. Two keyfeatures of AFI are self-management and cognitive learning; the former isessential for complexity reduction and fast adaptation to changing situationsand the latter can increase the intelligence through flexible knowledgeutilization.

 

In this talk, we willpresent state-of-the-art network architecture for AFI that is seamlesslyintegrated with SDN and NFV. The core Knowledge Plane within this unifiedarchitecture is responsible for real-time network big data analysis andknowledge discovery in order to maintain high-level behaviors of how thenetwork should be configured, managed, and optimized. To establish a powerful,flexible and scalable Knowledge Plane in AFI, we will present the innovativebig data processing technologies and cost-effective platform developed in ourresearch group, including the unified representation of heterogeneous networkbig data and real-time incremental data analysis tools for extracting valuableinsights to support better decision making for network design, resourcemanagement and optimization. This talk offers the theoretical underpinning forefficient processing of big data, and also opens up a new horizon of researchand development by exploiting the key intelligence and insights hidden in richnetwork big data for design and improvement of Future Internet.  

 

 

Bio:Professor Geyong Min is a Chair in High Performance Computing and Networking at the University of Exeter, UK. His recent research has been supported by European FP6/FP7, UK EPSRC, Royal Academy of Engineering, Royal Society, and industrial partners including British Telecom, IBM, Huawei Technologies, Motorola, INMARSAT, and InforSense Ltd. Prof. Min is the Co-ordinator of two recently funded FP7 projects: 1) Quality-of-Experience Improvement for Mobile Multimedia across Heterogeneous Wireless Networks; and 2) Cross-Layer Investigation and Integration of Computing and Networking Aspects of Mobile Social Networks. As a key team member and participant, he has made significant contributions to several EU funded research projects on Future Generation Internet.

Hehas published more than 300 research papers in leading international journalsincluding IEEE Journal on Selected Areas in Communications, IEEE Transactionson Communications, IEEE Transactions on Wireless Communications, IEEETransactions on Multimedia, IEEE Transactions on Computers, IEEE Transactionson Parallel and Distributed Systems, and at reputable internationalconferences, such as SIGCOMM-IMC, ICDCS, IPDPS, GLOBECOM, and ICC. Owing to theoriginality, strength, and importance of his research work, he has received sixIEEE best paper awards and was invited to deliver keynote speech at numerousinternational conferences in the area of Information and CommunicationsTechnologies. He has invented more than 10 patents.

Prof.Min’s research and professional activities have been well recognised by theinternational scientific community. He is an Associated Editor of severalinternational journals, e.g., IEEE Transactions on Computers. He served as theGeneral Chair/Program Chair of a number of international conferences andreceived IEEE Outstanding Achievement Awards.

闵革勇,国家“千人计划”专家。2003年获英国格拉斯哥大学计算机科学博士学位。一直致力于计算机网络和多媒体技术的研究,在下一代互联网、多媒体通信、移动计算、信息安全等领域取得了一系列具有国际影响力的创新性研究成果。

 

 

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