Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Block-structured Markov process"'
Autor:
Fan, Rui-Na (AUTHOR), Li, Quan-Lin1 (AUTHOR) liquanlin@bjut.edu.cn, Wu, Xiaole (AUTHOR), Zhang, Zhe George2,3 (AUTHOR)
Publikováno v:
Annals of Operations Research. Dec2022, p1-39.
Publikováno v:
Computational Social Networks, Vol 6, Iss 1, Pp 1-28 (2019)
In this paper, we develop a more general framework of block-structured Markov processes in the queueing study of blockchain systems, which can provide analysis both for the stationary performance measures and for the sojourn times of any transaction
Akademický článek
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Autor:
Lefèvre, Claude1 (AUTHOR) clefevre@ulb.ac.be, Simon, Matthieu2 (AUTHOR)
Publikováno v:
Methodology & Computing in Applied Probability. Jun2020, Vol. 22 Issue 2, p433-453. 21p.
This paper discusses a maintenance network with failed items that can be removed, repaired, redistributed, and reused under two batch policies: one for removing the failed items from each base to a maintenance shop and the other for redistributing th
Externí odkaz:
http://arxiv.org/abs/1910.02276
Autor:
Lefèvre, Claude, Simon, Matthieu
Publikováno v:
Advances in Applied Probability; Jun2021, Vol. 53 Issue 2, p484-509, 26p
Autor:
Li, Quan-Lin
Big networks express various large-scale networks in many practical areas such as computer networks, internet of things, cloud computation, manufacturing systems, transportation networks, and healthcare systems. This paper analyzes such big networks,
Externí odkaz:
http://arxiv.org/abs/1504.07974
Publikováno v:
Systems; Apr2022, Vol. 10 Issue 2, pN.PAG-N.PAG, 48p
Autor:
Claude Lefèvre, Matthieu Simon
Publikováno v:
Advances in Applied Probability. 53:484-509
The paper discusses the risk of ruin in insurance coverage of an epidemic in a closed population. The model studied is an extended susceptible–infective–removed (SIR) epidemic model built by Lefèvre and Simon (Methodology Comput. Appl. Prob.22,
Autor:
Li Quan-Lin
Publikováno v:
Special Matrices, Vol 4, Iss 1 (2016)
Big networks express multiple classes of large-scale networks in many practical areas such as computer networks, internet of things, cloud computation, manufacturing systems, transportation networks, and healthcare systems. This paper analyzes such b
Externí odkaz:
https://doaj.org/article/3c2675197bd8478cae9ef2accdc357fb