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Created on 12/29/2004 10:17
The following list summarizes *all* changes since OMNeT++ 2.3:
- The simulation kernel has received an overhaul.
- A new step-by-step tutorial, revised documentation and several new
sample simulations have been included to shorten your learning curve.
- Dynamic NED loading will cut model build time and simplify your work.
- Documentation generation tool will document your own large simulation
models, and help you quickly get an overview about the structure
of 3rd party models.
- The new Random Number Architecture features a modern, very long cycle
Random Number Generator (Mersenne Twister) for more realistic simulation
results, and RNG mapping for more flexibility in simulation experiments.
- Simulation models can now conveniently access XML configuration files
for complex input.
- Plove now features a powerful interactive charting component, and also
an internal data-flow engine for processing output vectors before
plotting.
- The new Scalars tool complements Plove, and lets you analyze and plot
scalar data produced by simulations.
- Support for Parallel Distributed Simulation
- Several Simulation GUI usability enhancements will save you time, and
make your work more efficient.
- New icons, and enhanced animation capabilities (icon coloring, queue
length display, status text, transmission range, transient bubbles,
etc.) improve the overall look and feel of your models, give you more
insight, and make the models instantly presentable.
- For better visualization of model dynamics, OMNeT++ now supports
animation of direct message sending and C++ method calls across modules.
- The automatic network layouting using the SpringEmbedder algorithm will
let you work with large networks in the GUI, without the need for
individual positioning of nodes.
- Ready to receive your extensions: plug-in interfaces for new random
number generators, new configuration databases and simulation event
schedulers complement existing plug-in interfaces for recording simulation
data, and let you implement custom input/output, real-time simulation,
hardware-in-the-loop simulation and more.
Delta from 3.0 beta 1:
- User Manual revised
- Several bugfixes and new test cases, significant performance improvements
in the network setup code; more intuitive error messages at places.
- The new <parametername>.use-default=true notation in omnetpp.ini makes it
possible to apply the NED file defaults (specified via input()) to some
or all unbound module parameters.
- histogram classes (cLongHistogram, cDoubleHistogram) revisited
- The simulation kernel has received an overhaul.
- A new step-by-step tutorial, revised documentation and several new
sample simulations have been included to shorten your learning curve.
- Dynamic NED loading will cut model build time and simplify your work.
- Documentation generation tool will document your own large simulation
models, and help you quickly get an overview about the structure
of 3rd party models.
- The new Random Number Architecture features a modern, very long cycle
Random Number Generator (Mersenne Twister) for more realistic simulation
results, and RNG mapping for more flexibility in simulation experiments.
- Simulation models can now conveniently access XML configuration files
for complex input.
- Plove now features a powerful interactive charting component, and also
an internal data-flow engine for processing output vectors before
plotting.
- The new Scalars tool complements Plove, and lets you analyze and plot
scalar data produced by simulations.
- Support for Parallel Distributed Simulation
- Several Simulation GUI usability enhancements will save you time, and
make your work more efficient.
- New icons, and enhanced animation capabilities (icon coloring, queue
length display, status text, transmission range, transient bubbles,
etc.) improve the overall look and feel of your models, give you more
insight, and make the models instantly presentable.
- For better visualization of model dynamics, OMNeT++ now supports
animation of direct message sending and C++ method calls across modules.
- The automatic network layouting using the SpringEmbedder algorithm will
let you work with large networks in the GUI, without the need for
individual positioning of nodes.
- Ready to receive your extensions: plug-in interfaces for new random
number generators, new configuration databases and simulation event
schedulers complement existing plug-in interfaces for recording simulation
data, and let you implement custom input/output, real-time simulation,
hardware-in-the-loop simulation and more.
Delta from 3.0 beta 1:
- User Manual revised
- Several bugfixes and new test cases, significant performance improvements
in the network setup code; more intuitive error messages at places.
- The new <parametername>.use-default=true notation in omnetpp.ini makes it
possible to apply the NED file defaults (specified via input()) to some
or all unbound module parameters.
- histogram classes (cLongHistogram, cDoubleHistogram) revisited
