Large Deviations Analysis for Distributed Algorithms in an Ergodic Markovian Environment

Francis Comets; Francois Delarue; René Schott

doi:10.1007/s00245-009-9079-8

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arXiv · 0712.2676

Large Deviations Analysis for Distributed Algorithms in an Ergodic Markovian Environment

Francis Comets·Francois Delarue·René Schott

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Abstract

We provide a large deviations analysis of deadlock phenomena occurring in distributed systems sharing common resources. In our model transition probabilities of resource allocation and deallocation are time and space dependent. The process is driven by an ergodic Markov chain and is reflected on the boundary of the d-dimensional cube. In the large resource limit, we prove Freidlin-Wentzell estimates, we study the asymptotic of the deadlock time and we show that the quasi-potential is a viscosity solution of a Hamilton-Jacobi equation with a Neumann boundary condition. We give a complete analysis of the colliding 2-stacks problem and show an example where the system has a stable attractor which is a limit cycle.

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BibTeX RIS

Francis Comets, Francois Delarue, René Schott. 2007-12-17. Large Deviations Analysis for Distributed Algorithms in an Ergodic Markovian Environment. https://doi.org/10.1007/s00245-009-9079-8

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