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Wuhan University Journal of Natural Sciences

, Volume 24, Issue 6, pp 537–548 | Cite as

Research on Architecture Design with High Reliability of Network Nodes in the Amphibious Combating Simulation System

  • Yu LiuEmail author
  • Lili Zhang
  • Rufen Luo
Computer Science
  • 6 Downloads

Abstract

Upper-lower computer mode is the main architecture design of the amphibious combat simulation system (ACSS) at present. Through continuous improvement of real-time performance, software and hardware infrastructure, the exponential growth of operational network data scale is realized, but the availability performance of ACSS declines. The reliability of the working host as the key node has become the bottleneck of the overall availability of network nodes in the ACSS. To optimize the network node architecture of ACSS, this paper presents an effective optimization solution by designing the dual redundancy warm-standby module of the mission computer and I/O port, the algorithm of selecting output path of the mission computer in network nodes, the decision-making algorithm upon the on-duty host and output, and the video output decision-making algorithm upon the upper host. Lastly, the complete process of operational data from the input to output and the opposite is implemented well to guarantee the overall availability of network nodes in the ACSS. It has great advantages of wide applicability, strong reliability and high real-time switching speed.

Key words

reliability amphibious combat simulation system architecture dual redundancy decision-making algorithm 

CLC number

TP 391.9 E 91 

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References

  1. [1]
    Wei H, Loman J, Song T. A reliability model of a warm standby configuration with two identical sets of units [J]. Reliability Engineering & System Safety, 2015, 133(1): 237–245.Google Scholar
  2. [2]
    Zhang Y J, Zhang Y J. Reliability analysis of a parallel dependent system with a single cold standby unit [J]. International Journal of Industrial and Systems Engineering, 2016, 23(2): 166–180.CrossRefGoogle Scholar
  3. [3]
    Xing L D, Levitin G, Dai Y S. Reliability of non-coherent warm standby systems with reworking [J]. IEEE Transactions on Reliability, 2015, 64(1): 444–453.CrossRefGoogle Scholar
  4. [4]
    Zhang T, Zhang D Y, Du P X. A real-time data backup model and methods based on peer-to-peer network [J]. International Journal of Information and Communication Technology, 2015, 7(2): 202–217.CrossRefGoogle Scholar
  5. [5]
    Dai Y S, Levitin G, Xing L D. Heterogeneous 1-out-of-N warm standby systems with dynamic uneven backups [J]. IEEE Transactions on Reliability, 2015, 64(4): 1325–1339.CrossRefGoogle Scholar
  6. [6]
    Dell’Amico M, Michiardi P, Toka L, et al. Adaptive redundancy Management for durable P2P backup [J]. Computer networks, 2015, 83(6):136–148.CrossRefGoogle Scholar
  7. [7]
    Li Y K, Xu M, Lee P, et al. Efficient hybrid inline and out-of-line deduplication for backup storage [J]. ACM Transactions on Storage, 2015, 11(1):1553–3077.Google Scholar
  8. [8]
    Levitin G, Xing L D, Dai Y S. Optimal backup frequency in system with random repair time [J]. Reliability Engineering & System Safety, 2015, 144(12):12–22.CrossRefGoogle Scholar
  9. [9]
    Xing L D, Dai Y S, Levitin G, et al. Mission reliability, cost and time for cold standby computing systems with periodic backup [J]. IEEE Transactions on Computers, 2015, 64(4): 1043–1057.CrossRefGoogle Scholar
  10. [10]
    Ali A. Application placement and backup service in computer clustering in Software as a Service (SaaS) networks [J]. Computers & Operations Research, 2016, 69(5): 48–55.Google Scholar
  11. [11]
    Guo B, Cheng Z J, Jia X, et al. A comparison between two switching policies for two-unit standby system [J]. Reliability Engineering & System Safety, 2016, 148(4): 109–118.Google Scholar
  12. [12]
    Xiong J L, Xie M, Wang W. Cold-standby redundancy allocation problem with degrading components [J]. International Journal of General Systems, 2015, 44(7): 876–888.Google Scholar

Copyright information

© Wuhan University and Springer-Verlag GmbH Germany 2019

Authors and Affiliations

  1. 1.Unit 91976 of the Chinese PLAGuangdongChina

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