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Priority queue based polling mechanism on seismic equipment cluster monitoring

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Abstract

This paper proposes a passive monitoring system model suitable for seismic observation equipment cluster. Through detailed analysis and design of two key technologies affecting the performance of the system under this model, we pose the priority queue based (PQB) polling mechanism on the cluster node monitoring and the volatility-removed (VR) fault alarm mechanism. New polling mechanism initializes priorities of cluster nodes according to the importance of them, then put them into the polling queue according to the priority order, nodes with same priority follow FCFS algorithm, thus solving problems that important cluster nodes be monitored first. A formula judging whether equipment is in the fluctuant state is given by VR fault alarm mechanism, which improves the accuracy of the monitoring results. Finally, we build an experimental platform to analyze the data of PQB polling and VR warning mechanisms, the conclusion shows that the PQB increases the count of polling nodes than FCFS polling mechanism and VR is more close to the actual fault results than normal alarm mechanism. Furthermore, PQB and VR mechanisms have no significant impact on server performance.

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Authors and Affiliations

  1. Earthquake Administration of Shanghai Municipality, No.87, Lanxi Road, Shanghai, 200062, China

    Xiaoming Wang, Yong Zhang, Xuezhi Zhao, Xianzhou Cheng & Yinglu Tao

  2. School of Air Transportation, Shanghai University of Engineering Science, Shanghai, 201620, China

    Lijuan Du

Authors
  1. Xiaoming Wang
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  2. Lijuan Du
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  3. Yong Zhang
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  4. Xuezhi Zhao
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  5. Xianzhou Cheng
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  6. Yinglu Tao
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Corresponding author

Correspondence to Xiaoming Wang.

Additional information

This work was supported by Shanghai Science and Technology Committee program (15dz1207600) and China Scholarship Council.

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Wang, X., Du, L., Zhang, Y. et al. Priority queue based polling mechanism on seismic equipment cluster monitoring. Cluster Comput 20, 611–619 (2017). https://doi.org/10.1007/s10586-017-0726-6

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  • DOI: https://doi.org/10.1007/s10586-017-0726-6

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