Telecommunications Network Planning Method Based on Probabilistic Risk Assessment

Towards risk-aware communications networking

“…While the former, directed at operational goals, aims at reducing disruption, the latter tries to minimize costs. The optimization solutions that consider thresholds on quality parameters agreed in an SLA are quite rare, although some works have recently been published [51][52][53][54][55]. However, the disruption is usually considered statically, and the aim is the minimization of the mean downtime or steady-state probability of unsuccessful recovery.…”

Optimization/simulation-based risk mitigation in resilient green communication networks

“…Here, we focus on resilience provisioning, a topic covered in general in Chołda et al (2013). While there were some general approaches to optimization of risk mitigation in networks (Vajanapoom et al, 2013;Dikbiyik et al, 2012;Gonzalez and Helvik, 2012) or in resilience to disasters (massive failures) (Ogino and Nakamura, 2011), the proposed methods are not computationally efficient and do not cover the whole variety of risk mitigation strategies. While our proposal is also based on similar methods of quantifying risk, it is necessary to remember that more sophisticated methods for risk measuring have been proposed for communication networks (Mastroeni and Naldi, 2011;Ackermann, 2013;Chołda et al 2013, Chołda and Jaglarz, 2015.…”

Energy-efficiency versus resilience: risk awareness view on dimensioning of optical networks with a sleep mode

“…Vajanapoom and Tipper [58] present a set of papers on the topic, with the most comprehensive presenting linear programming-based models applying the risk exposure measure. A similar average-based risk measure in network design is proposed in [48]. Dikbiyik et al [25] present an integer linear program that also bases risk response on risk exposure, where the consequences are based on the cumulative downtime exceeding the assumed threshold.…”