Fajardo Portillo Jose Oscar

Fajardo Portillo, Jose Oscar

Personal information

Fajardo Portillo, Jose Oscar

Address: Alda. de Urquijo s/n. C.P.: 48013. Bilbao
Email: joseoscar.fajardo@ehu.es
Telephone: +34 94 601 7361

 

Academic degrees

University Degree

Career: Engineering in Telecommunications
Intensificación: Telematics
Center: University of The Basque Country
Date of achievement: 2003

Doctorate

Program title: Tecnologías de la Información y Comunicaciones en Redes Móviles
DEA date of achievement: 2005
Thesis title: Adaptación de los mecanismos de provisión de calidad de servicio a las preferencias de los usuarios (Adaptation of QoS provisioning mechanisms to user requirements)
Date of achievement: (In progress)

Conference Papers

A New Approach To Analysis Traffic Based On Multiprocessor Architectures

Authors:
Igor Delgado García, Alfredo Beaumont, Jose Oscar Fajardo, Jose Luis Jodrá
Year:
2004
Publication medium:
IADAT International Conference on Telecomunications and Computer Networks (IADAT-tcn2004). San Sebastián, Spain. December 1-3
Description:

<span lang="en">The current expansion of new services, which require high bandwidth rates, has enforced an increase of network throughput hindering network monitoring. Conventional network traffic analysis tools like tcpdump or ethereal were not designed to keep up with new rates so loss rates are very high. Consequently, we have developed a sensor that exploits multiprocessor features in order to reduce loss rates in high speed networks. Most network traffic analysis require communication among instances yielding synchronization troubles that must be solved. As the sensor splits traffic analysis loads among different processes, they will concurrently access to shared memory areas. Conventional synchronization mechanisms like semaphores are not a good approach because they harm sensor's performance highly. Hence, in this paper we introduce a number of mechanisms that improve the overall performance of the sensor as a result of an effective communication among instances.</span>