TopoGen: A network topology generation architecture with application to automating simulations of software defined networks
Simulation is an important tool to validate the performance impact of control decisions in Software Defined Networks (SDN). Yet, the manual modeling of complex topologies that may change often during a design process can be a tedious error-prone task. We present TopoGen, a general purpose architectu...
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2018
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08917736_v_n_p1049_Laurito http://hdl.handle.net/20.500.12110/paper_08917736_v_n_p1049_Laurito |
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paper:paper_08917736_v_n_p1049_Laurito2023-06-08T15:47:16Z TopoGen: A network topology generation architecture with application to automating simulations of software defined networks Application programs Software defined networking Topology General purpose architectures Hierarchical coupling Models of networks Network engineering Network simulation model Performance impact Structured knowledge Topology transformation Network architecture Simulation is an important tool to validate the performance impact of control decisions in Software Defined Networks (SDN). Yet, the manual modeling of complex topologies that may change often during a design process can be a tedious error-prone task. We present TopoGen, a general purpose architecture and tool for systematic translation and generation of network topologies. TopoGen can be used to generate network simulation models automatically by querying information available at diverse sources, notably SDN controllers. The DEVS modeling and simulation framework facilitates a systematic translation of structured knowledge about a network topology into a formal modular and hierarchical coupling of preexisting or new models of network entities (physical or logical). TopoGen can be flexibly extended with new parsers and generators to grow its scope of applicability. This allows to design arbitrary workflows of topology transformations. We tested TopoGen in a network engineering project for the ATLAS detector at CERN. © 2017 IEEE. 2018 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08917736_v_n_p1049_Laurito http://hdl.handle.net/20.500.12110/paper_08917736_v_n_p1049_Laurito |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Application programs Software defined networking Topology General purpose architectures Hierarchical coupling Models of networks Network engineering Network simulation model Performance impact Structured knowledge Topology transformation Network architecture |
| spellingShingle |
Application programs Software defined networking Topology General purpose architectures Hierarchical coupling Models of networks Network engineering Network simulation model Performance impact Structured knowledge Topology transformation Network architecture TopoGen: A network topology generation architecture with application to automating simulations of software defined networks |
| topic_facet |
Application programs Software defined networking Topology General purpose architectures Hierarchical coupling Models of networks Network engineering Network simulation model Performance impact Structured knowledge Topology transformation Network architecture |
| description |
Simulation is an important tool to validate the performance impact of control decisions in Software Defined Networks (SDN). Yet, the manual modeling of complex topologies that may change often during a design process can be a tedious error-prone task. We present TopoGen, a general purpose architecture and tool for systematic translation and generation of network topologies. TopoGen can be used to generate network simulation models automatically by querying information available at diverse sources, notably SDN controllers. The DEVS modeling and simulation framework facilitates a systematic translation of structured knowledge about a network topology into a formal modular and hierarchical coupling of preexisting or new models of network entities (physical or logical). TopoGen can be flexibly extended with new parsers and generators to grow its scope of applicability. This allows to design arbitrary workflows of topology transformations. We tested TopoGen in a network engineering project for the ATLAS detector at CERN. © 2017 IEEE. |
| title |
TopoGen: A network topology generation architecture with application to automating simulations of software defined networks |
| title_short |
TopoGen: A network topology generation architecture with application to automating simulations of software defined networks |
| title_full |
TopoGen: A network topology generation architecture with application to automating simulations of software defined networks |
| title_fullStr |
TopoGen: A network topology generation architecture with application to automating simulations of software defined networks |
| title_full_unstemmed |
TopoGen: A network topology generation architecture with application to automating simulations of software defined networks |
| title_sort |
topogen: a network topology generation architecture with application to automating simulations of software defined networks |
| publishDate |
2018 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08917736_v_n_p1049_Laurito http://hdl.handle.net/20.500.12110/paper_08917736_v_n_p1049_Laurito |
| _version_ |
1768545149122510848 |