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

Abstract

This article proposes to solve the trade-off between energy-efficiency and resilience with a focus on business mechanisms. Risk engineering is used as a foundation. Financial impact (penalty) quantification with various compensation policies is applied, and business-relevant risk measures are used during the risk assessment. Then, risk mitigation strategies are evaluated to select the appropriate risk response. The approach is presented in networks with energy profiles supporting a sleep mode. An effective heuristic is used to assign flows, and it is shown that the energy-efficiency performance is substantially independent of the recovery methods selected for risk mitigation. It is also demonstrated that backup resources can be switched off in the normal state without having a considerable impact from a financial viewpoint.

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

“…Attacks can be predicted using probabilistic models to assess the risk [203]. Studies in [97], [156], [204], [205] analyze the risk assessment measurement in communication networks, then [206] suggests the integration of the risk assessment in the entire cloud computing infrastructure.…”

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

“…We base our analysis on this risk measure. Other compensation policies and risk measures to be used in the context of optimized planning of riskaware communication networks are described in Xia et al (2010), Mastroeni andNaldi (2011), Chołda (2014), Chołda et al (2013Chołda et al ( , 2014aChołda et al ( , b, 2015, Chołda and Jaglarz (2015).…”

“…A proposal of linear optimization of risk mitigation strategies is outlined in Chołda (2014). In fact, in our previous works (Chołda et al, 2014b;Chołda and Jaglarz, 2015), we propose optimization approaches based on risk mitigation, but do not elaborate on the precise optimization/simulation-based approach to obtain the exact results, as is done here.…”

“…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. There are also approaches presented in the IT community to base optimization of resource usage on addressing risk directly.…”

“…Therefore, another approach is necessary. Here, following our previous paper (Chołda and Jaglarz, 2015), we propose a business-oriented risk engineering umbrella for defining a way of dealing with the energy-risk trade-off. This approach emphasizes the economical perspective and treats the resilience and energy aspects in a single monetary (financial) space.…”