Containing a summary of several recent results on Markov-based
input modeling in a coherent notation, this book introduces and
compares algorithms for parameter fitting and gives an overview of
available software tools in the area. Due to progress made in
recent years with respect to new algorithms to generate PH
distributions and Markovian arrival processes from measured data,
the models outlined are useful alternatives to other distributions
or stochastic processes used for input modeling. Graduate students
and researchers in applied probability, operations research and
computer science along with practitioners using simulation or
analytical models for performance analysis and capacity planning
will find the unified notation and up-to-date results presented
useful. Input modeling is the key step in model based system
analysis to adequately describe the load of a system using
stochastic models.
The goal of input modeling is to find a stochastic model to
describe a sequence ofmeasurements from a real system to model for
example the inter-arrival times of packets in a computer network or
failure times of components in a manufacturing plant. Typical
application areas are performance and dependability analysis of
computer systems, communication networks, logistics or
manufacturing systems but also the analysis of biological or
chemical reaction networks and similar problems. Often the measured
values have a high variability and are correlated. It s been known
for a long time that Markov based models like phase type
distributions or Markovian arrival processes are very general and
allow one to capture even complex behaviors. However, the
parameterization of these models results often in a complex and
non-linear optimization problem. Only recently, several new results
about the modeling capabilities of Markov based models and
algorithms to fit the parameters of those models have been
published.
"
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!