arXiv Open Access 2016

Automating Large-Scale Simulation and Data Analysis with OMNeT++: Lession Learned and Future Perspectives

Antonio Virdis Carlo Vallati Giovanni Nardini

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Abstrak

Simulation is widely adopted in the study of modern computer networks. In this context, OMNeT++ provides a set of very effective tools that span from the definition of the network, to the automation of simulation execution and quick result representation. However, as network models become more and more complex to cope with the evolution of network systems, the amount of simulation factors, the number of simulated nodes and the size of results grow consequently, leading to simulations with larger scale. In this work, we perform a critical analysis of the tools provided by OMNeT++ in case of such large-scale simulations. We then propose a unified and flexible software architecture to support simulation automation.

Topik & Kata Kunci

cs.PF cs.DC

Penulis (3)

Antonio Virdis

Carlo Vallati

Giovanni Nardini

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APA MLA BibTeX

Virdis, A., Vallati, C., Nardini, G. (2016). Automating Large-Scale Simulation and Data Analysis with OMNeT++: Lession Learned and Future Perspectives. https://arxiv.org/abs/1609.04603

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Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓