Informationssystem der Otto-Friedrich-Universität Bamberg
© Config eG
Professur für Informatik, insbes. Kommunikationsdienste, Telekommunikationssysteme und Rechnernetze
2019
(2 Publikationen)
2018
(5 Publikationen)
2017
(8 Publikationen)
2016
(8 Publikationen)
2015
(3 Publikationen)
2014
(6 Publikationen)
2013
(8 Publikationen)
2012
(8 Publikationen)
2011
(7 Publikationen)
2010
(10 Publikationen)
2009
(5 Publikationen)
2008
(9 Publikationen)
2007
(12 Publikationen)
2006
(13 Publikationen)
2005
A BMAP/PH/1 Queue with Feedback Operating in a Random Environment
A Discrimination Frequency Based Queueing Fairness Measure with Regard to Job Seniority and Service Requirement
Efficient Rare Event Simulation: A Tutorial on Importance Sampling
Importance Sampling in Markovian Settings
Modeling the Acciss to a Wireless Network at Hot Spots.
On Optimal Importance Sampling for Discrete-Time Markov Chains
Queueing Model MAP/PH/1/N with Feedback Operating in the Markovian Random Environment
2004
Fast Simulation of Excessive Population Size in Tandem Jackson Networks
Relative Error and Asymptotic Optimality in Estimating Rare Event Probabilities by Importance Sampling
Simulation seltener Ereignisse mittels Importance Sampling unter besonderer Berücksichtigung Markovscher Modelle
State-independent Importance Sampling for Markovian Tandem Queues
Statistical Inspection and Analysis Techniques for Traffic Data Arising from the Internet
Structured Description of Markovian Network Models and its Potentials for Efficient Rare Event Simulation
2003
Generating Random Numbers in OMNeT++
Integration of Mobility-, QoS- and CAC-Management for Adaptive Mobile Applications
Performance evaluation of ABR flow-control protocols in a wireless ATM network
PROFInet Simulator - Software zur Simulation von PROFInet-Netzwerken
The BMAP|G|1 queue with feedback operating in synchronous random environment as a model for a telecommunication channel with performance fluctuation
2002
A QoS Management System for Adaptive Applications Supporting
Die Weiterentwicklung von WLANs zu drahtlosen IP-Netzen mit Mobilitätsmanagement und Dienstgüte-Unterstützung.
Estimating Basic Characteristics of Srrival Processes in Telecommunication Networks by Empirical Data.
Mobility and QoS-Management for Adaptive Applications.
Mobility Management and QoS-Support for Adaptive Applications in Next Generation Wireless Networks: Concept, Realization and Traffic Measurements.
Statistical Characterization of Mobile User Behavior and its Application to Resource Management in Next Generation Networks.
The Estimation of Heavy-tailed Distributions, their Mixtures and Quantiles
2001
Analysis of World Wide Web Traffic by Nonparametric Estimation Techniques
Auswirkung drahtloser Netzsegmente auf die Transporteffizienz von TCP/IP-Verbindungen
Non-parametric Heavy-tailed Density Estimation and Classification Problem.
On the Efficiency of the Data Transport in an IEEE802.11 Wireless LAN with Mobile IP - Myth and Reality.
The estimation of heavy-tailed probability density functions and their mixtures
2000
An Overview of Activities on Wireless Networks in the European Project COST 257
Application of Importance Sampling to Transition Class Models with Rare Events
Estimation of the Renewal Function by Empirical Data - A Bayesian Approach.
Handbuch zu VERENA - Eine Programmbibliothek zum Rechnen mit Wahrscheinlichkeitsverteilungen, 3. Version
Nonparametric Estimation of Heavy-Tailed Density Functions and its Application to the Analysis of World Wide Web Traffic.
The Impact of Handover Protocols on the Performance of ABR Flow-control Algorithms in a Wireless ATM Network.
The Impact of Varying Channel Capacity on the Quality of Advanced Data Services in PCS Networks
The Performance of a Fuzzy Flow-control Scheme for WWW Data Transfer in a Wireless ATM Network
1999
Adaptation of the Fuzzy Explicit Rate Marking to ABR Flow-control in a Wireless ATM Network.
Analysis of a Versatile Queueing Model with State-dependent Service Times.
Estimating Basic Characteristics of Arrival Processes in Advanced Packet-switched Networks by Empirical Data
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