The OMNeT++ summit, an online event featuring 14 presentations, was a resounding success. In addition to the presentations, an open plenary discussion took place, providing attendees with an opportunity to engage with the speakers and discuss the content in more depth. The presentation slides and video recordings from the summit are now available on the event’s website for those who missed out or would like to review the content.
This is a maintenance release which contains more than two dozen bugfixes in the simulation runtime, the IDE, the Analysis Tool, the NED documentation generator and Qtenv. The documentation was also updated in various places including the Install Guide. Go to the downloads page.
Key features of TSN were added to the INET Framework in version 4.4 (requires OMNeT++ 6.0). The model was developed together with an automotive industry partner to ensure relevance and is able to simulate the most important features of this domain. TSN refers to a set of IEEE 802 standards that make Ethernet deterministic by default. TSN components in INET are composable, making them easy to modify and experiment with. They can also be used together in non-standard novel ways, or with other tools such as external solvers for gate scheduling.
Groups of showcases are available for the following topics: Time Synchronization, Per-Stream Filtering and Policing, Automatic Gate-Schedule Configuration, Scheduling and Traffic Shaping, Frame Replication and Elimination for Reliability, Frame Preemption, Cut-Through Switching and combination of the above.
Detailed documentation can be found in the INET User’s Guide.
OMNeT++ 6.0 is the result of more than three years of work, and includes many essential new features that we would already have a hard time without. The present changelog summarizes all changes made during the 15+ pre-releases.
We briefly summarize the changes below in each part of OMNeT++ before going into the details.
The most prominent new feature is the new Python-based Analysis Tool in the IDE. The use of Python under the hood allows for arbitrarily complex computations to be performed on the data, visualizing the result in the most appropriate form chosen from a multitude of plot types, and producing publication quality output, all while using an intuitive user interface that makes straightforward tasks easy and convenient. Custom computations and custom plots are also easily accessible. The tool is able to handle large quantities of data. The Python APIs are also available outside the IDE (e.g. for standalone scripts), and a command-line tool for viewing and exporting charts created in the IDE also exists (
Please welcome the OMNeT++ 6.0 Release Candidate 2. OMNeT++ 6.0 is the result of more than three years of work, and includes many essential new features that we would already have a hard time without. The present changelog summarizes all changes made during the 15+ pre-releases.