In this section you will able to download some material related to our work.

YouTube traces

The following YouTube traces were used for analysing and modeling the YouTube traffic generation, and are available for download. If you use these traces for your research, we would appreciate if you could cite the following reference:

  • Pablo Ameigeiras, Juan J. Ramos-Munoz, Jorge Navarro-Ortiz, Juan M. Lopez-Soler, "Analysis and Modeling of YouTube Traffic", Transactions on Emerging Telecommunications Technologies, John Wiley & Sons, 2012.

You can download these trace sets from the following links:

Video Testing Software

Video Tester is a framework for the video quality assessment over a real or simulated IP network. Parameter extraction is performed on the three levels involved in the video processing and transmission ---packet level, bitstream level and picture level--- in order to gather as much information as possible. Therefore, it's suitable to implement any kind of metric: data metrics, picture metrics, packet-based metrics, bitstream-based metrics or hybrid metrics; with full-reference, reduced-reference or no-reference.

It's a Linux application programmed in Python with the aim of promoting extensibility, and the election of the GStreamer framework for video processing is due to its broad support in this area. Video Tester covers EvalVid features and adds further improvements in terms of usability, extensibility, codec support, support of transmission methods and reliability in case of losses.

You can download the latest version from:

Google Code:

If you use this framework for your research, we would appreciate if you could cite the following reference:

Voip Testing Software

VoIPTester is a Java platform for the assessment of the voice services quality over switched-packet networks. It is an active monitoring tool with the capability to adapt the measurement scenario by controlling the generated traffic injected into the evaluated path.

VoIPTester requires GStreamer for coding voice. We provide a multiplatform bytecodes and a special package for Windows platform with the GStreamer binaries included.

You can download the latest version from:

Google Code:

CaveCanem : Monitoring Tool

Cave Canem is an extensible monitoring and intrusion detection system based on the Object Management Group (OMG) Data Distribution Service (DDS) standard.

Cave Canem uses a plug-in system to supervise application, system and network health. As a result, it remains open so that new sensors and logic can be added. For information sharing, Cave Canem uses the OMG DDS standard, which defines a data-centric publish- subscribe (DCPS) model. This novel approach allows the middleware infrastructure to reflect the essential aspects of the information model, cache the required information, provide time and content-based filtering, and ultimately deliver the information to the applications with the correct QoS.

You can download the latest version from:



Conference: Cómo Escribir un Currículum Vitae y Ser Entrevistado: Un Ejemplo de Silicon Valley (spanish)

Phd. Gerardo Pardo (Real-Time Innovations Inc. CTO)

You can download the presentation: PDF

Conference: The Rise of Smart Systems

Phd. Stan Schneider (Real-Time Innovations Inc. CEO)

You can download the presentation: PDF