activity
20032013
most citedSpontaneous Resonances and the Coherent States of the Queuing Networks

21 citations · 32 across the 7 of their papers we have counts for

collaborators

7 papers

math.PR2013

Recombination processes and non-linear Markov chains

Sergey Pirogov, Aleksandre Rybko, Anastasia Kalinina +1

Bacteria are known to exchange genetic information by horizontal gene transfer. Since the frequency of homologous recombination depends on the similarity of recombining segments, s…

math.PR2013

Stationary States of the Generalized Jackson Networks

Alexander Rybko, Senya Shlosman

We consider Jackson Networks on general countable graphs and with arbitrary service times. We find natural sufficient conditions for existence and uniqueness of stationary distribu…

math-ph2008★ 1 cited

Absence of Breakdown of the Poisson Hypothesis I. Closed Networks at Low Load

Alexander Rybko, Senya Shlosman, Alexander Vladimirov

We prove that the general mean-field type networks at low load behave in accordance with the Poisson Hypothesis. That means that the network equilibrates in time independent of its…

math-ph2007★ 21 cited

Spontaneous Resonances and the Coherent States of the Queuing Networks

Alexander Rybko, Senya Shlosman, Alexander Vladimirov

We present an example of a highly connected closed network of servers, where the time correlations do not go to zero in the infinite volume limit. This phenomenon is similar to the…

math-ph2004

Poisson Hypothesis for Information Networks II. Cases of Violations and Phase Transitions

Alexander Rybko, Senya Shlosman

We present examples of queuing networks that never come to equilibrium. That is achieved by constructing Non-linear Markov Processes, which are non-ergodic, and possess eternal tra…

math.PR2004★ 5 cited

Poisson Hypothesis for Information Networks (A study in non-linear Markov processes) I. Domain of Validity

A. Rybko, S. Shlosman

In this paper we study the Poisson Hypothesis, which is a device to analyze approximately the behavior of large queueing networks. We prove it in some simple limiting cases. We sho…