Real-Time Data Processing Framework for Things with time-series and spatial features

Abstract

According to the interest in digital transformation, the requirements for data processing to handle real-world data in real-time steadily raised. Though the efforts for standardization to achieve interoperability among IoT ecosystems have emerged and the opportunity for digital transformation is provided, it is still difficult for service applications to handle the digital values from sensors only based on a resource model optimized for device management. We proposed a user-friendly real-time processing framework that supports oneM2M IoT resources transformation to effectively provide data of time and spatial characteristics to the services. We also suggested two types of demo applications to verify usability.