Volume 44 Issue 8
Aug.  2018
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Article Contents
DU Jianhai, LYU Jianghua, GAO Shiwei, et al. A Web cache replacement strategy for spacecraft comprehensive testing system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(8): 1609-1619. doi: 10.13700/j.bh.1001-5965.2017.0591(in Chinese)
Citation: DU Jianhai, LYU Jianghua, GAO Shiwei, et al. A Web cache replacement strategy for spacecraft comprehensive testing system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(8): 1609-1619. doi: 10.13700/j.bh.1001-5965.2017.0591(in Chinese)

A Web cache replacement strategy for spacecraft comprehensive testing system

doi: 10.13700/j.bh.1001-5965.2017.0591
Funds:

National Natural Science Foundation of China 61300007

the Fundamental Research Funds for the Central Universities YWF-15-GJSYS-106

the Fundamental Research Funds for the Central Universities YWF-14-JSJXY-007

State Key Laboratory of Software Development Environment Free Exploration Fund SKLSDE-2015ZX-09

State Key Laboratory of Software Development Environment Free Exploration Fund SKLSDE-2014ZX-06

More Information
  • Corresponding author: LYU Jianghua, E-mail: jhlv@nlsde.buaa.edu.cn
  • Received Date: 25 Sep 2017
  • Accepted Date: 27 Oct 2017
  • Publish Date: 20 Aug 2018
  • As a typical safety critical system, spacecraft is generally a complex system, which could produce a large amount of test data during the comprehensive testing process.When querying these test data, the existing B/S data query technology obtains data from the database server for each query, which greatly consumes the database server resources, takes up a lot of network bandwidth, and results in pooroverall performance of the system and poor user experience.Based on the classical Web cache replacement algorithm GDSF, this paper proposes a Web cache replacement algorithm GDSF-STW which is suitable for B/S architecture data query system by analyzing the characteristics of test data of the safety critical system and the behavior of user query.Based on the classical Web cache replacement algorithm GDSF, this algorithm introduces the time decay model in data mining and adopts the idea of sliding time window to improve the cache hit rate, system performance, and user experience. Finally, the experimental results show that the GDSF-STW has a better hit rate by comparing the GDSF-STW with the classical algorithms such as LRU, LFU, LFU-DA and GDSF.

     

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