Smart City Gnosys

Smart city article details

Title	A Survey On Iot Big Data Analytic Systems: Current And Future
ID_Doc	5278
Authors	Sasaki Y.
Year	2022
Published	IEEE Internet of Things Journal, 9, 2
DOI	http://dx.doi.org/10.1109/JIOT.2021.3131724
Abstract	The Internet of Things (IoT) has become widespread around the world. Since a large number of diverse devices, such as vehicles, household electrical appliances, smart phones, and environmental sensors are connected to the Internet, we can obtain a large volume of diverse IoT data, known as IoT big data. The generation of IoT big data means that efficient analytic systems are needed for many application scenarios, for example, to optimize urban planning, solve air pollution problems, and improve business decisions. In this survey, we review current systems that can efficiently analyze IoT data. Existing systems can be categorized into batch and stream processing systems. We explore Hadoop-and Spark-based batch processing systems for spatiotemporal and trajectory data. We also review fog-and edge-aware stream processing systems. Although many existing systems can efficiently and effectively analyze specific data and tasks, no system exists that can handle all characteristics of IoT big data: volume, velocity, variety, veracity, and variability. We present some open issues and discuss the future of IoT big data analytic systems. This survey aims to help researchers and practitioners better understand current systems and develop new IoT big data analytic systems. © 2014 IEEE.
Author Keywords	Distributed data processing; edge computing; smart city; spatiotemporal data; streaming processing; trajectory data

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