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  4. Vol 6, Issue 1, 2022

Research on Cache Strategy Based on Content Priority in Landslide Monitoring and Early Warning

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DOI: 10.23977/cpcs.2022.060109 | Downloads: 8 | Views: 814

Author(s)

Mingyang Guo 1

Affiliation(s)

1 Hunan University of Science & Technology, Xiangtan, Hunan, 411201, China

Corresponding Author

Mingyang Guo

ABSTRACT

Landslide monitoring and early warning are mostly multi-element monitoring, and each monitoring element has different impact factors on the landslide. If multiple monitoring elements change next to each other, a variety of high-frequency data are transmitted together, and the data transmission is simply carried out according to the transmission time, it will lead to low analysis efficiency and even deadlock. In order to solve this problem, considering the influence factor size of landslide monitoring elements, this paper introduces a caching strategy based on content priority. Firstly, the content priority is divided according to the influence factor size of monitoring elements, and then the content priority is used as the reference factor for cache replacement decision-making. The goal is to improve the hit rate and availability of important content. The simulation results of ndnsim show that this strategy can significantly improve the cache proportion of important content and improve the availability of important content without affecting the global hit rate and response delay, so as to improve the sensitivity and accuracy of landslide monitoring and early warning system.

KEYWORDS

Landslide warning, Cache, Cache replacement, Content priority, Queuing theory

CITE THIS PAPER

Mingyang Guo, Research on Cache Strategy Based on Content Priority in Landslide Monitoring and Early Warning. Computing, Performance and Communication Systems (2022) Vol. 6: 56-61. DOI: http://dx.doi.org/10.23977/cpcs.2022.060109.

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