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Empirical Evidence of Reliability Growth In Large-Scale Networks

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Abstract

An analysis of major telecommunications outagesexperienced by a nation-wide network is presented. Thepurpose of this analysis is to examine the utility ofNonhomogeneous Poisson Process (NHPP) models in characterizing large-scale network failurebehavior. The analysis not only shows the suitability ofthis theory, but also demonstrates the reliabilitygrowth of these network services for the time period studied. Modeling network failures as a NHPPalso allows the decomposition of the failure intensityinto individual hazards, providing insights into failurecauses. In addition, network reliability can be characterized in classical probabilisticterms. The usefulness and limitations of this techniqueare discussed.

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Authors
  1. Andrew P. Snow
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  2. Martin B. H. Weiss
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Snow, A.P., Weiss, M.B.H. Empirical Evidence of Reliability Growth In Large-Scale Networks. Journal of Network and Systems Management 5, 197–213 (1997). https://doi.org/10.1023/A:1018774912261

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  • DOI: https://doi.org/10.1023/A:1018774912261

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