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Christoph Lindemann
Researcher at Leipzig University
Publications - 78
Citations - 2907
Christoph Lindemann is an academic researcher from Leipzig University. The author has contributed to research in topics: Stochastic Petri net & Petri net. The author has an hindex of 25, co-authored 76 publications receiving 2850 citations. Previous affiliations of Christoph Lindemann include Technical University of Dortmund & Technical University of Berlin.
Papers
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Proceedings ArticleDOI
A special-purpose peer-to-peer file sharing system for mobile ad hoc networks
TL;DR: This paper presents a special-purpose system for searching and file transfer tailored to both the characteristics of MANET and the requirements of peer-to-peer file sharing, based on an application layer overlay network.
Journal ArticleDOI
Modeling IP traffic using the batch Markovian arrival process
TL;DR: This paper identifies the batch Markovian arrival process (BMAP) as an analytically tractable model of choice for aggregated traffic modeling of IP networks and identifies the expectation-maximization (EM) algorithm for efficient and numerical stable parameter estimation of the BMAP.
Journal ArticleDOI
A characterization of the stochastic process underlying a stochastic Petri net
TL;DR: A hierarchy of SPN classes where modeling power is reduced in exchange for an increasingly efficient solution is explored, which applies not only to the continuous-time case (PH-type distributions), but also to the discrete case.
Book
Performance Modelling with Deterministic and Stochastic Petri Nets
TL;DR: This text provides an up-to-date treatment of the fundamental techniques and algorithms for numerical analysis of deterministic and stochastic Petri nets, and the application of this modelling formalism to performance analysis for parallel computer architectures.
Proceedings ArticleDOI
TCP with adaptive pacing for multihop wireless networks
TL;DR: A comprehensive simulation study shows that TCP-AP achieves up to 84% more goodput than TCP NewReno, provides excellent fairness in almost all scenarios, and is highly responsive to changing traffic conditions.