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Data transmission reliability evaluation of a stochastic computer network through minimal paths with a retransmission mechanism

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  • Yi-Kuei Lin
  • Chih-Li Pan

Abstract

Multipath Transmission Control Protocol is a new networking protocol which can allow data transmission and retransmission across multiple minimal paths. It can reduce data transmission time and ensure data integrity. In computer networks, the capacity of each arc should be considered as stochastic because there are different situations such as failures, partial failures, and maintenance. This article focuses on a stochastic retransmission flow network to evaluate data transmission reliability that the data can be transmitted successfully through multiple minimal paths within transmission time threshold. We first propose an algorithm to generate all minimal capacity vectors satisfying both constraints and requirements and to obtain data transmission reliability. A numerical example and a large-scale case study of the Pan-European Research and Education Network are presented to illustrate the algorithm.

Suggested Citation

  • Yi-Kuei Lin & Chih-Li Pan, 2016. "Data transmission reliability evaluation of a stochastic computer network through minimal paths with a retransmission mechanism," Journal of Risk and Reliability, , vol. 230(6), pages 551-560, December.
    • Handle: RePEc:sae:risrel:v:230:y:2016:i:6:p:551-560
    DOI: 10.1177/1748006X16663055
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    References listed on IDEAS

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    1. Ramirez-Marquez, Jose Emmanuel & Coit, David W., 2007. "Multi-state component criticality analysis for reliability improvement in multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1608-1619.
    2. Cheng-Fu Huang & Yi-Kuei Lin, 2014. "A stochastic node-failure network with individual tolerable error rate at multiple sinks," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(5), pages 935-946, May.
    3. Yeh, Wei-Chang, 2005. "A new approach to evaluate reliability of multistate networks under the cost constraint," Omega, Elsevier, vol. 33(3), pages 203-209, June.
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