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Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I

Research Article

Research on Real-Time Monitoring Method of Communication Network Blocking Based on Cloud Computing

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  • @INPROCEEDINGS{10.1007/978-3-030-67871-5_9,
        author={Wei-yan Li and Kui Gao and Yu Li and Pei-ying Wang},
        title={Research on Real-Time Monitoring Method of Communication Network Blocking Based on Cloud Computing},
        proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2021},
        month={2},
        keywords={Cloud computing Telecommunication Network congestion Real-time monitoring},
        doi={10.1007/978-3-030-67871-5_9}
    }
    
  • Wei-yan Li
    Kui Gao
    Yu Li
    Pei-ying Wang
    Year: 2021
    Research on Real-Time Monitoring Method of Communication Network Blocking Based on Cloud Computing
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-67871-5_9
Wei-yan Li1, Kui Gao1, Yu Li1, Pei-ying Wang2,*
  • 1: College of Information Science and Engineering, Shandong Agricultural University
  • 2: Tianhe College of Guangdong Polytechnical Normal University
*Contact email: wangpeiying258@sina.com

Abstract

Aiming at the problems that the traditional method has long response time to communication network congestion monitoring and the detection effect is not ideal, a real-time monitoring method based on cloud computing for communication network blocking is proposed. Firstly, the communication network monitoring point is established, and the communication data collection process is completed by the radio-frequency receiver. On this basis, the real-time traffic calculation of the collected data is performed to determine the existence of abnormal blocking status in the communication network link, and the precise positioning of the blocking point is obtained. The information thus generates an alarm message to obtain a monitoring result. The real-time and accuracy of the monitoring method are analyzed experimentally. It is found that the monitoring method can control the delay time within 0.2 s and the monitoring error rate is low. It can be seen that the monitoring algorithm has high performance.

Keywords
Cloud computing Telecommunication Network congestion Real-time monitoring
Published
2021-02-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67871-5_9
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