TFM - Escuela Politécnica Superior (Linares)
URI permanente para esta comunidadhttps://hdl.handle.net/10953.1/364
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Examinando TFM - Escuela Politécnica Superior (Linares) por Materia "1203.99"
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Ítem Advanced telepresence system supported by WEBRTC(2022-10-04) Núñez Lerma, Juan ; Pérez Lorenzo, José Manuel ; Universidad de Jaén. Ingeniería de Telecomunicación[EN] This thesis focuses on a cloud system that was developed for the realization of multiple videoconferences in a healthcare environment for the communication among patients, relatives and staff. And on the other hand, it manages and reserves each video call in queue. Technically, a web system has been designed, based on WebRTC, which is capable of establishing multi-user communication and offering the typical characteristics of a video call to end users. Javascript and Node.js were used to as programming languages to implement a cloud web service with an interface that allows interaction between users and the application.Ítem Analysis of interpretability of fuzzy schedulers for cloud computing(2021-02-02) Moreno Chicharro, Laura ; Muñoz Expósito, José Enrique ; García Galán, Sebastián; Universidad de Jaén. Ingeniería de Telecomunicación[EN] This work presents an analysis of the interpretability of fuzzy system for cloud computing. Interpretability study has been carried out in fuzzy systems to optimize power consumption and time in Datacenter. The proposal of an algorithm that is able to find a system that reduces the power consumed by these Datacenters when processing tasks and optimizing the execution time for these tasks, choosing the knowledge base of the most interpretable system. That is, among the knowledge bases of the system that reduce the power and time consumption, the one with the highest interpretability is chosen. In addition, to achieve the interpretable systems that also optimize power and time, a simulator of real environments (WorkflowSim-DVFS), that is able to calculate power and time consumption and a hierarchical fuzzy system has been implemented to compute the interpretability index of the system obtained.Ítem Development of a soft-computing based meta-scheduler for cloud computing taking into account the "follow the renewable" approach(2021-02-02) Cotes Ruiz, Adrián; García Galán, Sebastián; Pérez de Prado, Rocío Josefina; Universidad de Jaén. Ingeniería de Telecomunicación[EN] In this master thesis a work of research with respect the task execution within Cloud systems made of multiple datacenters is done. Is exposed that the main objective of this research is to enhance the way to schedule tasks involving the multiple datacenters at a Cloud system as well as tasks within the host/computers within a specific datacenter with the purpose of reducing both, the total execution time o1 tasks and the power consumption, trying to prioritize the execution of tasks in those datacenters that have renewable energyÍtem Optimización de energía en sistemas de Cloud Computing(2017-10-06) Cotes Ruiz, Ivan Tomás; Pérez de Prado, Rocío Josefina; García Galán, Sebastián; Universidad de Jaén. Ingeniería de Telecomunicación[ES]En el presente Trabajo Fin de Máster, se han desarrollado diversas técnicas de optimización de potencia y energía en sistemas de Cloud Computing. Se ha comenzado por la unión de dos simuladores para obtener un entorno de simulación capaz de estimar consumo energético, así como la posibilidad de ejecución de flujos de trabajo (Workflows) para poder el control dinámico de la tensión y frecuencia del procesador para ahorrar energía. En la segunda fase, se han desarrollado dos sistemas expertos basados en reglas borrosas para obtener dos planificadores de máquinas virtuales y tareas, y se muestran y analizan los resultados obtenidos, comprobando el ahorro de energía conseguido con la técnica DVFS, y concluyendo que el uso conjunto de los dos sistemas expertos consigue el mejor resultado.