Design and Implementation of Traffic Big Data Visualization Web GIS Platform Based on Hadoop

Qiao, Zhitao; Mu, Chen; Sun, Jichao

doi:10.1061/9780784482933.267

Cited by 2 publications

(2 citation statements)

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“…The cloud platform can also monitor each different message type separately, and record the message upload status of each time, which is easy for data management in the later stage. This part, observing the update and change of data information in real time based on big data visualization analysis [13][14][15], is shown in Figures 4 and 5. The performance of the MQTT protocol compared with that of HTTP IoT and the TCP message overhead are shown in Table 1.…”

Section: Mqtt Communication Debuggingmentioning

confidence: 99%

IoT Communication Based on MQTT and OneNET Cloud Platform in Big Data Environment

Shan,

Su,

Lin

et al. 2024

Preprint

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The MQTT IoT connection technology is widely used, becoming the primary means for IoT devices to communicate with servers amid the vigorous development of IoT technology. On the OneNET cloud platform, MQTT protocol connection and data communication, message sending, and subscription are established, one-to-many message transmission is solved, and the reverse control from server to device is realized in big data environment. This technology can provide fast and secure messaging services for remote devices with a small code capacity and limited bandwidth. Experiments indicated that the communication mode has low cost, small bandwidth, and slight delay, which meets the requirements of device data acquisition and control in a large area and has broad application prospects and reference significance in the field of mobile applications.

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Section: Mqtt Communication Debuggingmentioning

confidence: 99%

IoT Communication Based on MQTT and OneNET Cloud Platform in Big Data Environment

Shan,

Su,

Lin

et al. 2024

Preprint

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show abstract

“…Existing platforms, mainly developed based on the Hadoop ecosystem, have realized functions such as statistical analysis, model establishment, and data mining. However, the technical maturity is still not sufficient, the application scope is limited, and there is a need for enhancement in platform functionality [3].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Big Data Platform for University Education Management Based on Hadoop

He,

Zhang

2024

Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–

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With the expansion of university sizes, traditional educational management methods are encountering issues such as difficulties in data integration and analytical decision-making. To address these challenges, this study designs and implements a big data analysis platform for university education management based on Hadoop. Initially, the paper examines the current status of university management and investigates relevant technological solutions. Subsequently, it details the platform architecture and utilizes tools within the Hadoop ecosystem to realize core modules, including data collection, data warehousing, and multidimensional analysis. Through rigorous functional and stress testing, the paper verifies the design's accuracy and scalability. The research outcomes offer an intelligent and expandable big data platform for university educational management. The content of the paper is meticulous, bearing significant importance in advancing data-driven intelligent education management.

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Design and Implementation of Traffic Big Data Visualization Web GIS Platform Based on Hadoop

Cited by 2 publications

References 1 publication

IoT Communication Based on MQTT and OneNET Cloud Platform in Big Data Environment

IoT Communication Based on MQTT and OneNET Cloud Platform in Big Data Environment

Design and Implementation of Big Data Platform for University Education Management Based on Hadoop

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