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学术讲座通知:Semantic reasoning for IoT edge computing

发布时间:2018-06-18 10:07  浏览:169次

    应网络与交换技术国家重点实验室宽带网中心李玉宏老师邀请,芬兰奥卢大Xiang Su副教授将来访北邮,并做学术讲座。欢迎广大师生踊跃参加。

    报告题目:Semantic reasoning for IoT edge computing
    报告人:Xiang Su教授
    报告时间:2018年6月19日(星期二)15:00--17:00
  报告地点:新科研楼610会议室
  主持人:李玉宏副教授

     Abstract:

    Service provision for individuals, organizations, and government agencies lies on context-awareness and knowledge-based decision making. Internet of Things (IoT) systems connect things with identifying, sensing, networking, and processing capabilities and enable automated creation of new knowledge and efficient decision making. However, millions of new devices are connecting to IoT networks thus generating a huge amount of data. How to represent, store, search, organize, and make the best usage of data generated by IoT devices becomes a challenge.

    Semantics associates meaning with data, thus allows interpretation of data in context, despite differences in syntax and structure. For IoT, semantics are playing important roles in collaborative technologies with encoding meaning into IoT data to enable computer systems to possess knowledge and support decision making. Semantic technologies offer powerful representations and reasoning techniques to facilitate IoT data and knowledge modelling, querying, reasoning, and discovery. However, these representations and techniques require a considerable amount of resources. The volume of data generated by a vast amount of IoT devices and resource limitations of these devices have given rise to challenges for applying semantic technologies in IoT systems.

    Edge and fog computing are emerging paradigms addressing these challenges with moving the computation from the central high powered Cloud or server machine to the edge of the IoT networks. The targeted benefits result from the proximity to data sources and end users. Edge and fog computing targets to address the challenges of: 1) low and predictable latency for end users and applications; 2) secure and privacy-preserving services and applications; 3) long battery life and low bandwidth cost; and 4) scalability.

    Aiming to take the advantages of edge computing for implementing intelligent functions in IoT, this talk focuses on semantic reasoning in IoT systems with edge devices. This talk presents an IoT architecture with edge devices and preform semantic reasoning on edge nodes and Cloud. We performed experiments to demonstrate how the edge computing could facilitate IoT systems in terms of data transferring, semantic reasoning, and service provision. We also analyzed how to improve the performance by properly distributing reasoning tasks on the Cloud and edge devices.

 

       Bio of Dr. Xiang Su

    Dr. Xiang Su received his Ph.D in technology from the University of Oulu. He is now a postdoctoral research scientist in computer science in the Center of Ubiquitous Computing at the University of Oulu, Finland. He has been working in Carnegie Mellon University, VTT Technical Research Center of Finland, Technical University of Munich and Aalto University as a visiting scholar. He has been involved as a co-PI, scientist and a deliverable leader in several research projects funded by Business Finland, Bavarian Ministry of Economic Affairs and Media, Energy and Technology, Academy of Finland, EU  programs, and National Natural Science Foundation of China. His research interests cover Internet of Things (IoT), knowledge representations, stream processing, and context modeling and reasoning.