Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Horváth, Illés"'
Autor:
Horváth, Illés, Mészáros, Márton
Load balancing plays a crucial role in many large scale systems. Several different load balancing principles have been proposed in the literature, such as Join-Shortest-Queue (JSQ) and its variations, or Join-Below-Threshold. We provide a high level
Externí odkaz:
http://arxiv.org/abs/2307.04360
Autor:
Horvath, Illes, Keliger, Daniel
We provide error bounds for the N-intertwined mean-field approximation (NIMFA) for local density-dependent Markov population processes with a well-distributed underlying network structure showing NIMFA being accurate when a typical vertex has many ne
Externí odkaz:
http://arxiv.org/abs/2201.02041
Among the numerical inverse Laplace transformation (NILT) methods, those that belong to the Abate-Whitt framework (AWF) are considered to be the most efficient ones currently. It is a characteristic feature of the AWF NILT procedures that they are in
Externí odkaz:
http://arxiv.org/abs/2112.08306
We investigate local-density dependent Markov processes on a class of large graphs sampled from a graphon, where the transition rates of the vertices are influenced by the states of their neighbors. We show that as the average degree converges to inf
Externí odkaz:
http://arxiv.org/abs/2008.08109
Autor:
Keliger, Daniel, Horvath, Illes
We study the asymptotic behaviour of Markov processes on large weighted Erdos-Renyi graphs where the transition rates of the vertices are only influenced by the state of their neighbours and the corresponding weight on the edges. We find the ratio of
Externí odkaz:
http://arxiv.org/abs/2004.01734
We propose a resource sharing scheme that takes into account the traffic history over several predefined time scales and provides fair resource sharing considering the traffic history. Our concept builds on a simplified version of core-stateless reso
Externí odkaz:
http://arxiv.org/abs/1903.08075
Highly concentrated functions play an important role in many research fields including control system analysis and physics, and they turned out to be the key idea behind inverse Laplace transform methods as well. This paper uses the matrix-exponentia
Externí odkaz:
http://arxiv.org/abs/1901.08627
Publikováno v:
In Journal of Computational and Applied Mathematics 15 January 2023 418
Autor:
Keliger, Dániel, Horváth, Illés
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 1 January 2023 609
Publikováno v:
In Stochastic Processes and their Applications June 2022 148:324-352