Resumen de la tesis del autor para obtener el grado de Magister en Redes de Datos de la Facultad de Informática de la UNLP, dirigida por Luis Armando Marrone.

The work carried out in the thesis describes efficient virtual environments management. One of the main contributions is a middleware scheduling optimization based on Grid environments. Being the overall goal to get an optimal resource selection plus a coordinate task…

For centuries, experimentation has been at the center of all successful scientific studies. Experimental explorations can offer new perceptions, weed out unproductive approaches and validate theories and practices. Computer Science (CS), as a discipline, has a poor record when it…

In this Ph. D thesis, the main significant contributions are: formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in the industrial production planning problems [1-3]. This non-linear…

In order to measure the performance of a parallel machine, a set of application kernels as benchmarks have often been used. However, it is not always possible to characterize the performance using only benchmarks, given the fact that each one…

Based on our experience, in this paper we present the main aspects of two different approaches to implement low cost multi-touch tables: projection based and LCD based. The former uses a video projector to build a feedback image on the…

The book <i>Using OpenMP: Portable Shared Memory Parallel Programming</i>, presents OpenMP more than appropriately, from the perspective of high performance computing, which traditionally has provided most (if not all) the parallel software development strategies.

The image recognizing process requires the identification of every logical object that compose every image, which first implies to recognize it as an object (segmentation) and then identify which object is, or at least which is the most likely one…

This work describes a two stages prediction method for wildland fire growth prediction. Proposed method takes advantege of genetic algorithms in order to develope a high performance and scalable application.

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