Counting almost minimum cutsets with reliability applications
Mathematical Programming: Series A and B
Randomized algorithms
Monte-Carlo algorithms for enumeration and reliability problems
SFCS '83 Proceedings of the 24th Annual Symposium on Foundations of Computer Science
Designing and embedding reliable virtual infrastructures
Proceedings of the second ACM SIGCOMM workshop on Virtualized infrastructure systems and architectures
Designing and embedding reliable virtual infrastructures
ACM SIGCOMM Computer Communication Review
Survivable IP topology design with re-use of backup wavelength capacity in optical backbone networks
Optical Switching and Networking
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We consider network reliability in layered networks where the lower layer experiences random link failures. In layered networks, each failure at the lower layer may lead to multiple failures at the upper layer. We generalize the classical polynomial expression for network reliability to the multi-layer setting. Using random sampling techniques, we develop polynomial time approximation algorithms for the failure polynomial. Our approach gives an approximate expression for reliability as a function of the link failure probability, eliminating the need to resample for different values of the failure probability. Furthermore, it gives insight on how the routings of the logical topology on the physical topology impact network reliability. We show that maximizing the min cut of the (layered) network maximizes reliability in the low failure probability regime. Based on this observation, we develop algorithms for routing the logical topology to maximize reliability.