Computer Networks Virtualization with GNS3: Evaluating a solution to optimize resources and achieve a distance learning

Designing educational resources allow students to modify their learning process. In particular, on-line and downloadable educational resources have been successfully used in engineering education the last years [1]. Usually, these resources are free and accessible from web. In addition, they are designed and developed by lecturers and used by their students. But, they are rarely developed by students in order to be used by other students. In this work-in-progress, lecturers and students are working together to implement educational resources, which can be used by students to improve the learning process of computer networks subject in engineering studies. In particular, network topologies to model LAN (Local Area Network) and MAN (Metropolitan Area Network) are virtualized in order to simulate the behavior of the links and nodes when they are interconnected with different physical and logical design.

Virtualización de Redes de Computadores con GNS3: Evaluación de soluciones para el aprendizaje a distancia

El diseño de los recursos educativos permite a los estudiantes modificar su proceso de aprendizaje. En particular, los recursos educativos on-line descargables han sido utilizados con éxito en la educación en ingeniería en los últimos años. Por lo general, estos recursos son gratuitos y accesibles desde la web. Además, son diseñados y desarrollados por profesores y usados por sus estudiantes. Pero, rara vez se desarrollan por los estudiantes con el fin de ser utilizados por otros estudiantes. En este artículo, profesores y estudiantes trabajan juntos para implementar recursos educativos de libre distribución, que puedan ser utilizados por los estudiantes para mejorar el proceso de aprendizaje de redes de computadores en los estudios de ingeniería. En particular, se virtualizan topologías de red para modelar redes LAN (Local Area Network) y MAN (Metropolitan Area Network) con el fin de simular el comportamiento de los enlaces y nodos cuando están interconectados con diferente diseño físico y lógico. Para ello, usando el software de libre distribución GNS3, y teniendo como base la configuración de la red del laboratorio L24 de la EPS, se construye un entorno virtual que simula las posibilidades reales de este laboratorio.

A GIS-based methodology to quantitatively define an Adjacent Protected Area in a shallow karst cavity: The case of Altamira cave

Different types of land use are usually present in the areas adjacent to many shallow karst cavities. Over time, the increasing amount of potentially harmful matter and energy, of mainly anthropic origin or influence, that reaches the interior of a shallow karst cavity can modify the hypogeal ecosystem and increase the risk of damage to the Palaeolithic rock art often preserved within the cavity. This study proposes a new Protected Area status based on the geological processes that control these matter and energy fluxes into the Altamira cave karst system. Analysis of the geological characteristics of the shallow karst system shows that direct and lateral infiltration, internal water circulation, ventilation, gas exchange and transmission of vibrations are the processes that control these matter and energy fluxes into the cave. This study applies a comprehensive methodological approach based on Geographic Information Systems (GIS) to establish the area of influence of each transfer process. The stratigraphic and structural characteristics of the interior of the cave were determined using 3D Laser Scanning topography combined with classical field work, data gathering, cartography and a porosity–permeability analysis of host rock samples. As a result, it was possible to determine the hydrogeological behavior of the cave. In addition, by mapping and modeling the surface parameters it was possible to identify the main features restricting hydrological behavior and hence direct and lateral infiltration into the cave. These surface parameters included the shape of the drainage network and a geomorphological and structural characterization via digital terrain models. Geological and geomorphological maps and models integrated into the GIS environment defined the areas involved in gas exchange and ventilation processes. Likewise, areas that could potentially transmit vibrations directly into the cave were identified. This study shows that it is possible to define a Protected Area by quantifying the area of influence related to each transfer process. The combined maximum area of influence of all the processes will result in the new Protected Area. This area will thus encompass all the processes that account for most of the matter and energy carried into the cave and will fulfill the criteria used to define the Protected Area. This methodology is based on the spatial quantification of processes and entities of geological origin and can therefore be applied to any shallow karst system that requires protection.