A grid service‐based Distributed Network Simulation Environment for computer networks education

Abstract

This paper presents a Distributed Network Simulation Environment (DNSE) based on grid technology that, unlike the well-known ns-2 simulator, provides two important features that facilitate the study of network scenarios that require running multiple simulations. First, the DNSE is capable of automatically handling the realization of multiple distributed simulations with the aim of completing all simulations in a reasonable amount of time. Second, the DNSE integrates the realization of simulations with the analysis of their results in an intuitive GUI in order to relieve students from the burden of launching multiple simulations and handling the many output files that may be generated to study the results. The performance analysis of the DNSE shows that it can significantly reduce the time required to complete multiple simulations. Furthermore, the assessment of an experience with students evidence that the DNSE can successfully support a real learning scenario and that students prefer using the DNSE over the ns-2.

Hybrid cloud service selection strategy: Model and application of campus

“…It synthesizes state-of-the-art web technologies (e.g., HTML5, GWT, and cloud computing), computational methods for physical systems modeling, and simulation to create a computing environment that is widely deployable and scalable. Bote-Lorenzo et al [24] proposed a Distributed Network Simulation Environment (DNSE) based on grid technology that provides two important features that facilitate the study of network scenarios that require running multiple simulations. Bittencourt et al [25] deal with this problem, presenting HCOC: The Hybrid Cloud Optimized Cost scheduling algorithm.…”

Cloud-based simulation for education

“…It requires running a parameter sweep simulation [2] where di!erent values of delay and bitrate parameters are assigned to study its evolution (in particular, the teacher suggests 6 values for the delay and 15 values for the bitrate parameters, yielding a parameter sweep composed of 90 individual simulations).…”

“…Simulation times should be reduced so that enough experiments can be run in one laboratory session (e.g. two hours) [2]. Although some simulation models allow for coarse-grain parallelization (i.e.…”

Entorno de simulación distribuida de redes basado en la nube computacional

“…Uno de ellos es el DNSE [8], que, según se mencionó en la sección anterior, distribuía las simulaciones de barrido de parámetros de redes telemáticas para el simulador ns-2 dentro de un grid computacional. Aparte de mejorar el tiempo de respuesta de las simulaciones, ofrecía una GUI (Graphic User Interface) para facilitar tanto la gestión de los trabajos de simulación como el visionado de las animaciones generadas a partir de la herramienta NetAnim, ofrecida de forma conjunta con el ns-2.…”

“…Dada esta problemática, los autores de este artículo desarrollaron el DNSE (Distributed Network Simulation Environment) [8], un entorno que permitía la ejecución de simulaciones de barrido del simulador ns-2 dentro de una infraestructura de grid computacional. Este entorno tuvo una buena acogida entre los profesores y alumnos de la E.T.S.…”