A Survey on IoT Big Data Analytic Systems: Current and Future

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 d...

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Bibliographic Details
Published inIEEE internet of things journal Vol. 9; no. 2; pp. 1024 - 1036
Main Author Sasaki, Yuya
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 15.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Batch processing
Batch production systems
Big Data
Data analysis
Distributed data processing
edge computing
Electric appliances
Household appliances
Internet of Things
Mathematical analysis
Meteorology
Sensors
Smart cities
smart city
spatiotemporal data
Stream pollution
streaming processing
System effectiveness
Systems analysis
trajectory data
Urban planning
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Summary: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.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2021.3131724