BUSCADOR RECOLECTA

Póster presentado a la 17th International Conference on Optical Network Design and Modeling (ONDM 2013), 16-19 abril de 2013, Brest (Francia), This work was supported by the Spanish Ministry of Science and Innovation through the research project INSTINCT (TEC-2010-21178-C02-01)

Trabajo presentado a IEEE Global Communications Conference, Globecom 2012; Optical Networks and Systems (ONS) Symposium, 3-7 de diciembre de 2012. Anaheim (Estados Unidos), 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., 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.

Trabajo presentado al 2nd Workshop "Future Internet Efficiency in high-speed networks" (W-FIERRO 2012). 19-20 de julio de 2012, Cartagena (España), This paper summarizes latest works of Telematic,
Networks and Services research group (TNS) of Public University
of Navarra in the topics of FIERRO thematic network. Last two
papers sent to major conferences are addressed
First work shows 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.
Second work presents two novel cloning schemes for video
delivery in OBS networks that dramatically improve user perceived
content quality. These schemes take into account the
special characteristics of compressed video traffic. Analytical and
simulation results show up to 40% QoE improvement without
a substantial increase in the overall network traffic and without
increasing the number of bursts in the network. The results show
the strong dependency of this novel cloning scheme on the video
traffic structure due to the coding mechanisms., 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.