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作 者:Dawei Wei Huansheng Ning Feifei Shi Yueliang Wan Jiabo Xu Shunkun Yang Li Zhu
机构地区:[1]School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China [2]Beijing Engineering Research Center for Cyberspace Data Analysis and Applications,Beijing 100083,China [3]Run Technologies Co.,Ltd.,Beijing 100192,China [4]School of Information Engineering,Xinjiang Institute of Engineering,Urumqi 830023,China [5]School of Reliability and Systems Engineering,Beihang University,Beijing 100191,China [6]Northern Cloud Research Team,Engineering University of PAP,Xi'an 710086,China
出 处:《Tsinghua Science and Technology》2021年第6期918-930,共13页清华大学学报(自然科学版(英文版)
基 金:supported in part by the National Natural Science Foundation of China (No.61872038)。
摘 要:The pervasiveness of the smart Internet of Things(IoTs) enables many electric sensors and devices to be connected and generates a large amount of dataflow. Compared with traditional big data, the streaming dataflow is faced with representative challenges, such as high speed, strong variability, rough continuity, and demanding timeliness, which pose severe tests of its efficient management. In this paper, we provide an overall review of IoT dataflow management. We first analyze the key challenges faced with IoT dataflow and initially overview the related techniques in dataflow management, spanning dataflow sensing, mining, control, security, privacy protection,etc. Then, we illustrate and compare representative tools or platforms for IoT dataflow management. In addition,promising application scenarios, such as smart cities, smart transportation, and smart manufacturing, are elaborated,which will provide significant guidance for further research. The management of IoT dataflow is also an important area, which merits in-depth discussions and further study.
关 键 词:Internet of Things(IoTs) DATAFLOW SECURITY PRIVACY MANAGEMENT
分 类 号:TP391.44[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]
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