RCONEt2

RCONEt2 is an open-source software framework for modeling, simulating, and optimizing resource-constrained networks. It serves as an extension of the RCONE family and targets researchers and practitioners working with networked systems where resources such as bandwidth, energy, or capacity are limited. The project emphasizes modular design, reproducibility, and extensibility.

Architecture and components: the core engine is implemented in C++ for speed, with Python bindings for accessibility. The framework provides a plugin architecture for data sources, solvers, and evaluation metrics. Users define networks, resources, actions, and constraints through a domain-specific language and configuration files. A built-in experiment runner supports batch runs and scenario comparisons.

Features: discrete-event simulation, optimization solver interfaces (e.g., linear, integer, and mixed-integer programs), stochastic modeling, scenario management, and visualization tools. RCONEt2 also includes APIs for importing real-world data, exporting results, and integrating with external dashboards.

Applications: used in telecommunications planning, supply chain optimization, energy distribution, and Internet of Things deployments. Typical workflows involve specifying a topology and resource limits, formulating an objective (such as cost or latency), running simulations or optimizations, and analyzing results.

Development and reception: RCONEt2 is maintained by a community of contributors and hosts documentation, tutorials, and example models. The project follows open-source governance practices and publishes release notes with each version.