Network Survivability

Jager, Bjorn

doi:10.1016/b978-012373566-9.50006-9

Cited by 3 publications

(3 citation statements)

References 36 publications

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“…We have shown how to cope with this issue in general. In essence, our work primarily contributes to the survivability of networks rather than that of systems, which is defined as ensuring that systems survive their mission despite the presence of intrusions or disasters.…”

Section: Beyond Qos Assurance and Simple Modelsmentioning

confidence: 99%

Link repair in managed multi‐domain connections with end‐to‐end quality guarantees

et al. 2012

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SUMMARY The Internet is a platform providing connection channels for various services. Whereas for services like email the best‐effort nature of the Internet can be considered sufficient, other services strongly depend on service‐specific connection quality parameters. This quality dependence has led to dedicated content distribution networks as a workaround solution for services like YouTube. Such workarounds are applicable to a small number of services only. With the global application of the Internet, the impact of quality of service varies from annoyance due to jitter in VoIP communication to endangering human lives in telemedicine applications. Thus network connections with end‐to‐end quality guarantees are indispensable for various existing and evolving services. In this paper we consider point‐to‐point multi‐domain network connections for which the end‐to‐end quality has to be assured. Our contribution includes the classification of fault cases in general and countermeasures against end‐to‐end performance degradation. By correlating events and reasonable countermeasures, this work provides the foundation for quality assurance during the operation phase of end‐to‐end connections. We put our contribution in the context of a vision of global‐goal‐aware self‐adaptation in computer networks and outline further research areas that require a similar classification to the work provided here. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Beyond Qos Assurance and Simple Modelsmentioning

confidence: 99%

Link repair in managed multi‐domain connections with end‐to‐end quality guarantees

et al. 2012

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“…Survivable systems and survivable networks have been designed and evaluated in the literature for many years, see (Knight et al 2003, Jäger et al 2007, Mead et al 2000. The many definitions of survivability can be summarized as Survivability is the system's ability to continuously deliver services in compliance with the given requirements in the presence of failures and other undesired events.…”

Section: Network Survivabilitymentioning

confidence: 99%

“…The survivability literature describes service from something unspecified (Pioro andMedhi 2004, Guo 2007), a very general specification like "mission" (Mead et al 2000), to a more specific definition such as "connected logical links" (Modiano andNarula-Tam 2001, Zhu andLin 2005). The requirements are very general such as "fulfill its mission, in a timely manner" (Mead et al 2000), "complies with its survivability specification" (Knight et al 2003), "committed QoS continuously" (Jäger et al 2007), "provide service continuity" (Pioro and Medhi 2004), very unclear "essential functions are still available" (Deutsch and Willis 1988), or closely linked to the application area "logical links remain connected" (Modiano and Narula-Tam 2001). Finally, the undesired events and their effects.…”

Section: Network Survivabilitymentioning

confidence: 99%

Survivability modeling with stochastic reward nets

Heegaard

Trivedi

2009

Proceedings of the 2009 Winter Simulation Conference (WSC)

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Critical services in a telecommunication network should survive and be continuously provided even when undesirable events like sabotage, natural disasters, or network failures happen. The network survivability is quantified as defined by the ANSI T1A1.2 committee which is the transient performance from the instant an undesirable event occurs until steady state with an acceptable performance level is attained. Performance guarantees such as minimum throughput, maximum delay or loss should be considered.This paper demonstrates alternative modeling approaches to quantify network survivability, including stochastic reward nets and continuous time Markov chain models, and cross-validates these with a process-oriented simulation model. The experience with these modeling approaches applied to networks of different sizes clearly demonstrates the trade-offs that need to be considered with respect to flexibility in changing and extending the model, model abstraction and readability, and scalability and complexity of the solution method.

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Survivability Quantification of Real-Sized Networks Including End-to-End Delay Distributions

Heegaard

Trivedi

2008

2008 Third International Conference on Systems and Networks Communications

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Network Survivability

Cited by 3 publications

References 36 publications

Link repair in managed multi‐domain connections with end‐to‐end quality guarantees

Link repair in managed multi‐domain connections with end‐to‐end quality guarantees

Survivability modeling with stochastic reward nets

Survivability Quantification of Real-Sized Networks Including End-to-End Delay Distributions

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