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cs.PF2020
On Non-Markovian Performance Models
Andras Farago
We present an approach that can be useful when the network or system performance is described by a model that is not Markovian. Although most performance models are based on Markov…
cs.DM2020
A General Dependency Structure for Random Graphs and Its Effect on Monotone Properties
Zohre Ranjbar-Mojaveri, Andras Farago
We consider random graphs in which the edges are allowed to be dependent. In our model the edge dependence is quite general, we call it -robust random graph. It means that every…