Modelling optical network components: A network simulator-based approach

Miletić, Vedran; Mikac, Branko; Džanko, Matija

doi:10.1109/bihtel.2012.6412064

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…In our previous work [25], we analyzed existing simulation models for optical transport network and found that none of the existing implementations fit the requirements, so we developed our own model basing on the infrastructure provided by network simulator ns-3 [5]. Taking into account the feature functionality of ns-3 network simulator at the time, we had to identify the specific areas where it was to be extended to support simulating optical WDM network.…”

Section: Optical Network Availability Analysismentioning

confidence: 99%

“…Our optical network model implementation consists of models for common optical transport network components: edge network devices (class WdmEdgeNetDevice), core network devices (classes WdmOxcNetDevice, WdmMuxNetDevice and WdmDemuxNetDevice), physical interfaces (classes WdmInputPhy and WdmOutputPhy) and channels (class WdmUnidirectionalChannel). Detailed description of these classes can be found in [25].…”

Section: Optical Network Availability Analysismentioning

confidence: 99%

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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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Section: Optical Network Availability Analysismentioning

confidence: 99%

Section: Optical Network Availability Analysismentioning

confidence: 99%

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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“…Models for optical network components such as demultiplexers and multiplexers, fiber, edge devices, optical cross connects, path computation element and control plane are included [18], as well as models for network cables and SRLGs [5]. Component failure and repair events can be simulated; component uptime and downtime are tracked and used for availability estimation.…”

Section: B Simulation Modelsmentioning

confidence: 99%

Optimizing maximum shared risk link group disjoint path algorithm using NVIDIA CUDA heterogeneous parallel programming platform

Miletić

Šubić

Mikac

2014

2014 X International Symposium on Telecommunications (BIHTEL)

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Network availability is an essential feature of an optical telecommunication network. Should a failure of a network component occur, be it a link or a component inside a node, network control plane must be able to detect the failure and reroute the traffic using spare components until a repair is done. Shared risk link groups (SRLGs) are used to describe a situation where seemingly unrelated logical failures happen due to a single physical failure. For example, two or more links might share a bridge crossing; should a failure happen, all of them will be damaged. Routing algorithms were proposed to ensure working and spare paths of a connection in a network are SRLG-disjoint to avoid such common cause failures. However, complete SRLGdisjointness of working and spare path is not always possible due to limited number of links or limited capacity available in the network, so maximum SRLG-disjoint paths algorithm is taken instead. Maximum SRLG-disjoint path problem is in general NP-hard. In terms of solution quality greedy algorithms for maximum SRLG-disjoint path problem are as good as more complicated heuristics. To improve the performance of maximum SRLG-disjoint path greedy algorithm, it was implemented using NVIDIA CUDA heterogeneous parallel programming platform and executed on graphics processing unit. The implementation of maximum SRLG-disjoint path algorithm on GPU increases performance significantly compared to implementation utilizing only CPU, especially in simulations of large networks.

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Software for Optical Network Modelling

Adhikari

2022

Optical Switching

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Modelling optical network components: A network simulator-based approach

Cited by 6 publications

References 11 publications

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

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

Optimizing maximum shared risk link group disjoint path algorithm using NVIDIA CUDA heterogeneous parallel programming platform

Software for Optical Network Modelling

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