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Open AccessArticle

Real-Time Massive Vector Field Data Processing in Edge Computing

1
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
2
Wuhan Zhaotu Technology Co. Ltd., Wuhan 430074, China
3
School of Computer Science, China University of Geosciences, Wuhan 430074, China
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(11), 2602; https://doi.org/10.3390/s19112602
Received: 11 May 2019 / Revised: 2 June 2019 / Accepted: 5 June 2019 / Published: 7 June 2019
(This article belongs to the Special Issue Fog/Edge Computing-Based Smart Sensing System)
The spread of the sensors and industrial systems has fostered widespread real-time data processing applications. Massive vector field data (MVFD) are generated by vast distributed sensors and are characterized by high distribution, high velocity, and high volume. As a result, computing such kind of data on centralized cloud faces unprecedented challenges, especially on the processing delay due to the distance between the data source and the cloud. Taking advantages of data source proximity and vast distribution, edge computing is ideal for timely computing on MVFD. Therefore, we are motivated to propose an edge computing based MVFD processing framework. In particular, we notice that the high volume feature of MVFD results in high data transmission delay. To solve this problem, we invent Data Fluidization Schedule (DFS) in our framework to reduce the data block volume and the latency on Input/Output (I/O). We evaluated the efficiency of our framework in a practical application on massive wind field data processing for cyclone recognition. The high efficiency our framework was verified by the fact that it significantly outperformed classical big data processing frameworks Spark and MapReduce. View Full-Text
Keywords: edge computing; massive vector field data; fluidization; high-performance; framework edge computing; massive vector field data; fluidization; high-performance; framework
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MDPI and ACS Style

Zheng, K.; Zheng, K.; Fang, F.; Yao, H.; Yi, Y.; Zeng, D. Real-Time Massive Vector Field Data Processing in Edge Computing. Sensors 2019, 19, 2602.

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