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» Trace data characterization and fitting for Markov modeling
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SP
2002
IEEE
128views Security Privacy» more  SP 2002»
13 years 4 months ago
Fitting hidden Markov models to psychological data
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...
ECUMN
2004
Springer
13 years 8 months ago
Multi-time-Scale Traffic Modeling Using Markovian and L-Systems Models
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that...
Paulo Salvador, António Nogueira, Rui Valad...
COMCOM
2004
145views more  COMCOM 2004»
13 years 4 months ago
Framework based on stochastic L-Systems for modeling IP traffic with multifractal behavior
In a previous work we have introduced a multifractal traffic model based on so-called stochastic L-Systems, which were introduced by biologist A. Lindenmayer as a method to model ...
Paulo Salvador, António Nogueira, Rui T. Va...
QEST
2008
IEEE
13 years 11 months ago
KPC-Toolbox: Simple Yet Effective Trace Fitting Using Markovian Arrival Processes
We present the KPC-Toolbox, a collection of Matlab scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way. We first present detailed sen...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni
MOBIHOC
2006
ACM
14 years 4 months ago
Modeling steady-state and transient behaviors of user mobility: : formulation, analysis, and application
Recent studies on mobility modeling have focused on characterizing user mobility from real traces of wireless LANs (WLANs) and creating mobility models based on such characterizat...
Jong-Kwon Lee, Jennifer C. Hou