Fernando de la Prieta is a member of BISITE group of University of Salamanca and has just defended his doctoral thesis.


Dr. D. Javier Bajo Pérez
Dra. Dña. Sara Rodríguez González


Cloud Computing, a known computing paradigm, has been emerging in recent years with great strength. This paradigm includes a new marketing model based on the pay per use revenue model, which has radically changed the business model on the internet and allowed companies and individual users to rent the computational resources they need at any given time. This new computational model has also allowed the production model for these computational resources to evolve very closely along the lines of the just-in-time production model, in which only the resources needed for the production of services are consumed according to the demand that exists at a given time. Within this context, the term elasticity is used in reference to the services being offered. For this to be possible, a vast number of underlying technologies have had to grow and develop in order to produce a technology niche with the ability to vary the resources associated with each service according to demand.

However, despite the undeniable advances that have been produced at a technological level, there is still much room for improvement in these systems. In this regard, the framework of this doctoral thesis proposes the use of multiagent systems, particularly those based on organizational models to control and monitor a Cloud Computing system. Due to this approach, one of the first in this field of research, new generation Cloud platforms will be able to include characteristics derived from Artificial Intelligence, such as autonomy, proactivity, and learning capabilities. To this end, a new model, unique in its conception, has been proposed; it can provide the organization with intelligent agents with self-adaptive abilities in execution time for open and highly dynamic environments in which there is also a high degree of uncertainty. With this model, the system is able to vary the computational resources associated with each service produced according to existing user demand, using the system’s own dynamic self-adaptation.




Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.

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