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Performance of data networks with random links

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  • Fukś, Henryk
  • Lawniczak, Anna T.

Abstract

We investigate simplified models of computer data networks and examine how the introduction of additional random links influences the performance of these networks. In general, the impact of additional random links on the performance of the network strongly depends on the routing algorithm used in the network. Significant performance gains can be achieved if the routing is based on ‘geometrical distance’ or shortest path reduced table routing. With shortest path full table routing degradation of performance is observed.

Suggested Citation

  • Fukś, Henryk & Lawniczak, Anna T., 1999. "Performance of data networks with random links," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 51(1), pages 101-117.
    • Handle: RePEc:eee:matcom:v:51:y:1999:i:1:p:101-117
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    References listed on IDEAS

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    1. Tretyakov, A.Yu. & Takayasu, H. & Takayasu, M., 1998. "Phase transition in a computer network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 253(1), pages 315-322.
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    Cited by:

    1. Scholz, Jan & Krause, Wolfram & Greiner, Martin, 2008. "Decorrelation of networked communication flow via load-dependent routing weights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2987-3000.
    2. Zhang, Yue & Huang, Ning & Yin, Shigang & Sun, Lina, 2017. "Phase transition in lattice networks with heavy-tailed user behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 367-377.

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