Impact of dependent failures on the availability of the optical network

Lapčević, Ozren; Lackovic, M.; Mikac, Branko

doi:10.1109/csndsp.2008.4610799

Cited by 4 publications

(5 citation statements)

References 12 publications

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“…See, for instance, the analysis in our previous works [20] or [21]. The cost of ignoring dependencies can be high, as shown in previous citations; see also [22].…”

Section: B Dependencies Between Componentsmentioning

confidence: 83%

Reliability Estimation for Stochastic Flow Networks With Dependent Arcs

2023

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The Creation and the Destruction Processes (CP and DP) are the basis of many efficient Monte Carlo methods for estimating the unreliability of highly reliable networks on both, the static and the stochastic flow network models, for the case of independent components. Some of these methods are based on the Splitting variance reduction techniques. Due to the Splitting basic mechanism, they operate over CP. Here we propose a Splittingbased Monte Carlo method, using the Marshall-Olkin copula for the case of non independent components. This proposal operates on the DP, because the Marshall-Olkin copula model over networks is quite related -and somehow similar-to DP, which is unusual but here necessary. Before addressing the proposal, the article presents a review of the methods based on CP and DP. At the end, a comparative experimental analysis shows the efficiency of the proposed approach.

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“…See, for instance, the analysis in our previous works [20] or [21]. The cost of ignoring dependencies can be high, as shown in previous citations; see also [22].…”

Section: B Dependencies Between Componentsmentioning

confidence: 83%

Reliability Estimation for Stochastic Flow Networks With Dependent Arcs

2023

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“…Based on real data presented in [30], [9], we set failure dependency between cables contained in the same SRLG to be 0.7. The consequence of this failure dependency is that, on average, 70% of the time a failure of a part of cable contained in SRLG will affect both cables, and the rest of the time will affect only one.…”

Section: B Simulation Results For Network Unavailabilitymentioning

confidence: 99%

“…Lapčević et.al. [9] studied the impact of dependency between failures (including SRLGs) on network availability, and concluded that it is significant.…”

Section: Related Workmentioning

confidence: 98%

“…Usual assumption is that correlation between failures is deterministic, implying that failure of one link in a SRLG always causes failure of all other links contained in it. In reality, this is not necessarily the case, so probabilistic models in which the links contained in the SRLG are damaged with a certain probability in case of failure have been studied in [9], [10]. Lapčević et.al.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Impact evaluation of physical length of shared risk link groups on optical network availability using Monte Carlo simulation

Miletić

Mikac

Džanko

2013

Proceedings of the 2013 18th European Conference on Network and Optical Communications &Amp; 2013 8th Conference on Optical Cab

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In optical networks a group of logically distinct links can unintentionally share a physical resource (e.g. a cable or a duct). Such a group, called shared risk link group (SRLG), introduces a situation where a single failure of common resource can cause multiple failures. Failure of common resource usually occurs due to physical force (e.g. digging or earthquake) and causes failures of multiple links. Specifically, such a failure can cause both working and spare wavelength path of a logical connection between two edge nodes to fail at the same time, leaving them disconnected until a repair is done. The usual approach to solving this problem consists of introducing more spare capacity to the network and also using a routing algorithm that takes SRLGs into account when computing paths. Such a routing algorithm avoids creating working and spare path pairs that have links contained in the same SRLG, to minimize the negative impact of SRLG failure on logical connection availability. In this paper the impact of physical length of the SRLGs on network availability is evaluated using Monte Carlo simulation. New simulation model for availability evaluation is implemented by discrete-event network simulator ns-3. Implementation approach is discussed, and an overview of model features is provided. For simple cases, Monte Carlo simulation results obtained by using the model are compared to analytical results. The availability results for the general case are obtained using Monte Carlo simulation and discussed.

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“…In [8], authors analyze real data from a Norwegian academic network, showing that neighboring links show significant correlation. In particular, for the design of reliable networks, the impact of dependent failures on the resulting reliability is analyzed in [13], showing that the assumption of failure independence can produce an underestimation of the real reliability. There are several approaches to model the failure dependence between components, including causal failure, cascade failure and commoncause failure.…”

Section: Problem Descriptionmentioning

confidence: 99%