1994
DOI: 10.1109/49.265709
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Unavailability analysis of long-haul networks

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Cited by 131 publications
(88 citation statements)
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“…For example, [16] reported that MTTF for 1,000 sheeth miles, and MTTR values are 2,000 hours and 12 hours, respectively. More recently, [17] (see also [3]) documented the average number of fiber cuts per 1,000 miles per year as 13 times and 3 times in metro and long haul networks, respectively.…”
Section: Network Availabilitymentioning
confidence: 99%
“…For example, [16] reported that MTTF for 1,000 sheeth miles, and MTTR values are 2,000 hours and 12 hours, respectively. More recently, [17] (see also [3]) documented the average number of fiber cuts per 1,000 miles per year as 13 times and 3 times in metro and long haul networks, respectively.…”
Section: Network Availabilitymentioning
confidence: 99%
“…As we are interested in the availability of a connection, we need to define it first. The availability of a connection is defined as the probability that such connec-tion is "up" at any given time [9], and can be expressed as the proportion of time the connection is up during its entire service. If a connection is carried by a single unprotected path, its availability is equal to the path availability.…”
Section: The Mathematical Modelmentioning
confidence: 99%
“…Failures might cause significant losses, especially if they occur at the optical backbone networks due to the huge volume of traffic traversing their links [1]. In addition, this type of networks is expensive to deploy due to their size and it might take several years to complete them.…”
Section: Introductionmentioning
confidence: 99%