IoT Statistic and Analytics of Networking Traffic Data using AWS IoT Cloud Core

Quoc Trung Khuong,Tae Oh

12TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2021): BEYOND THE PANDEMIC ERA WITH ICT CONVERGENCE INNOVATION(2021)

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摘要
Network analytics has been one of the emerging areas to predict network traffic efficiently and effectively. However, it is not appealing for most businesses due to its complexity and cost to perform network analytics. By utilizing Amazon Web Services (AWS) of IoT platform for analytics, network analytic process becomes much more scalable and accessible. Moreover, Jupyter Notebook is the key service for our network analytics, and python programming language combined with the powerful "pandas" library, there is no limitation regarding the capability of the platform. In this paper, From proving data statistics of the imported dataset to performing analytics according to the users' requirements. Although there are limitations regarding the advanced aspect of analytics in this paper due to limitations in programming capability, it is a stable groundwork for future implementation.
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关键词
iot statistic,networking traffic data,aws
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