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Large-scale simulations manager tool for OMNeT ++: expediting simulations and post-processing analysis
dc.contributor.author | Barbecho Bautista, Pablo Andrés |
dc.contributor.author | Urquiza Aguiar, Luis Felipe |
dc.contributor.author | Lemus Cárdenas, Leticia |
dc.contributor.author | Aguilar Igartua, Mónica |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica |
dc.date.accessioned | 2020-10-19T18:44:09Z |
dc.date.available | 2020-10-19T18:44:09Z |
dc.date.issued | 2020-06-21 |
dc.identifier.citation | Barbecho, P. [et al.]. Large-scale simulations manager tool for OMNeT ++: expediting simulations and post-processing analysis. "IEEE access", 21 Juny 2020, vol. 8, p. 159291-159306. |
dc.identifier.issn | 2169-3536 |
dc.identifier.uri | http://hdl.handle.net/2117/330451 |
dc.description.abstract | Usually, simulations are the first approach to evaluate wireless and mobile networks due to the difficulties involved in deploying real test scenarios. Working with simulations, testing, and validating the target network model often requires a large number of simulation runs. Consequently, there are a significant amount of outcomes to be analyzed to finally plot results. One of the most extensively used simulators for wireless and mobile networks is OMNeT++. This simulation environment provides useful tools to automate the execution of simulation campaigns, yet single-scenario simulations are also supported where the assignation of resources (i.e., CPUs) has to be declared manually. However, conducting a large number of simulations is still cumbersome and can be improved to make it easier, faster, and more comfortable to analyze. In this work, we propose a large-scale simulations framework called simulations manager for OMNeT ++ (SMO). SMO allows OMNeT++ users to quickly and easily execute large-scale network simulations, hiding the tedious process of conducting big simulation campaigns. Our framework automates simulations executions, resources assignment, and post-simulation data analysis through the use of Python’s wide established statistical analysis tools. Besides, our tool is flexible and easy to adapt to many different network scenarios. Our framework is accompanied by a command-line environment allowing a fast and easy manipulation that allows users to significantly reduce the total processing time to carry out large sets of simulations about 25% of the original time. Our code and its documentation are publicly available at GitHub and on our website. |
dc.description.sponsorship | This work was supported by the Spanish Government through the Research Project sMArt Grid Using Open Source Intelligence (MAGOS) under Grant TEC2017-84197-C4-3-R. The work of Pablo Andrés Barbecho Bautista was supported by a grant from the Secretaría Nacional de Educación Superior, Ciencia y Tecnología (SENESCYT). The work of Leticia Lemus CÁrdenas was supported by a Ph.D. grant from the Academic Coordination of the University of Guadalajara, Mexico. |
dc.format.extent | 16 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors |
dc.subject.lcsh | Mobile communication systems |
dc.subject.lcsh | Wireless communication systems |
dc.subject.other | Large-scale simulations |
dc.subject.other | OMNeT++ |
dc.subject.other | Results post-processing |
dc.title | Large-scale simulations manager tool for OMNeT ++: expediting simulations and post-processing analysis |
dc.type | Article |
dc.subject.lemac | Comunicacions mòbils, Sistemes de |
dc.subject.lemac | Comunicació sense fil, Sistemes de |
dc.contributor.group | Universitat Politècnica de Catalunya. SISCOM - Smart Services for Information Systems and Communication Networks |
dc.identifier.doi | 10.1109/ACCESS.2020.3020745 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/abstract/document/9181563 |
dc.rights.access | Open Access |
local.identifier.drac | 28794489 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/2PE/TEC2017-84197-C4-3-R |
local.citation.author | Barbecho, P.; Urquiza, L.; Lemus, L.; Aguilar Igartua, M. |
local.citation.publicationName | IEEE access |
local.citation.volume | 8 |
local.citation.startingPage | 159291 |
local.citation.endingPage | 159306 |
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