Traffic generator using Perlin Noise
| dc.contributor.author | Prieto Suárez, Iria | |
| dc.contributor.author | Izal Azcárate, Mikel | |
| dc.contributor.author | Morató Osés, Daniel | |
| dc.contributor.author | Magaña Lizarrondo, Eduardo | |
| dc.contributor.department | Automática y Computación | es_ES |
| dc.contributor.department | Automatika eta Konputazioa | eu |
| dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa | es |
| dc.date.accessioned | 2016-10-03T07:06:29Z | |
| dc.date.available | 2016-10-03T07:06:29Z | |
| dc.date.issued | 2012 | |
| dc.description | Trabajo presentado a IEEE Global Communications Conference, Globecom 2012; Optical Networks and Systems (ONS) Symposium, 3-7 de diciembre de 2012. Anaheim (Estados Unidos) | es_ES |
| dc.description.abstract | Study of high speed networks such as optical next generation burst or packet switched networks require large amounts of synthetic traffic to feed simulators. Methods to generate self-similar long range dependent traffic already exist but they usually work by generating large blocks of traffic of fixed time duration. This limits simulated time or require very high amount of data to be stored before simulation. On this work it is shown how self-similar traffic can be generated using Perlin Noise, an algorithm commonly used to generate 2D/3D noise for natural looking graphics. 1-dimension Perlin Noise can be interpreted as network traffic and used to generate long range dependent traffic for network simulation. The algorithm is compared to more classical approach Random Midpoint Displacement showing at traffic generated is similar but can be generated continuously with no fixed block size. | en |
| dc.description.sponsorship | This work was supported by the Spanish Ministry of Science and Innovation through the research project INSTINCT (TEC-2010-21178-C02-01). Also, the authors want to thank Spanish thematic network IPoTN (TEC2010-12250-E) and Public University of Navarre for funding through PIF grant. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.1109/GLOCOM.2012.6503384 | |
| dc.identifier.isbn | 978-1-4673-0921-9 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/22357 | |
| dc.language.iso | eng | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | Global Communications Conference (GLOBECOM), 2012 IEEE | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TEC2010-21178-C02-01/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TEC2010-12250-E/ES/ | |
| dc.relation.publisherversion | https://dx.doi.org/10.1109/GLOCOM.2012.6503384 | |
| dc.rights | ©2012 IEEE | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Perlin noise | en |
| dc.subject | Traffic generator | en |
| dc.title | Traffic generator using Perlin Noise | en |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dspace.entity.type | Publication | |
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