TY - JOUR
T1 - Statistical characteristics of serious network failures in Japan
AU - Uchida, Masato
N1 - Funding Information:
This work was supported in part by the Japan Society for the Promotion of Science through Grants-in-Aid for Scientific Research (C) ( 26330122 ).
PY - 2014/11
Y1 - 2014/11
N2 - Due to significant environmental changes in the telecommunications market, network failures affect socioeconomic activities more than ever before. However, the health of public networks at a national level has not been investigated in detail. In this paper, we investigate the statistical characteristics of interval, duration, and the number of users affected for serious network failures, which are defined as network failures that last for more than two hours and affect more than 30,000 users, that occurred in Japan during Japanese fiscal years 2008-2012 (April 2008-March 2013). The results show that (i) the interval follows a Poisson process, (ii) the duration follows a Pareto distribution, (iii) the number of users affected follows a piecewise Pareto distribution, (iv) the product of duration and the number of users affected roughly follow a distribution that can be derived from a convolution of two distributions of duration and the number of users affected, and (v) the relationship between duration and the number of users affected differs from service to service.
AB - Due to significant environmental changes in the telecommunications market, network failures affect socioeconomic activities more than ever before. However, the health of public networks at a national level has not been investigated in detail. In this paper, we investigate the statistical characteristics of interval, duration, and the number of users affected for serious network failures, which are defined as network failures that last for more than two hours and affect more than 30,000 users, that occurred in Japan during Japanese fiscal years 2008-2012 (April 2008-March 2013). The results show that (i) the interval follows a Poisson process, (ii) the duration follows a Pareto distribution, (iii) the number of users affected follows a piecewise Pareto distribution, (iv) the product of duration and the number of users affected roughly follow a distribution that can be derived from a convolution of two distributions of duration and the number of users affected, and (v) the relationship between duration and the number of users affected differs from service to service.
KW - Failure duration
KW - Failure interval
KW - Network failure
KW - Number of users affected
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U2 - 10.1016/j.ress.2014.07.001
DO - 10.1016/j.ress.2014.07.001
M3 - Article
AN - SCOPUS:84904964719
SN - 0951-8320
VL - 131
SP - 126
EP - 134
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
ER -