{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"id":[{"id":"https:\/\/ror.org\/03mb6wj31","id-type":"ROR","asserted-by":"publisher"},{"id":"https:\/\/www.isni.org\/000000041937028X","id-type":"ISNI","asserted-by":"publisher"},{"id":"https:\/\/www.wikidata.org\/entity\/Q1640731","id-type":"wikidata","asserted-by":"publisher"}],"name":"Universitat Polit\u00e8cnica de Catalunya","acronym":["UPC"]}],"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T18:52:47Z","timestamp":1769971967513,"version":"3.49.0"},"reference-count":0,"publisher":"Universitat Polit\u00e8cnica de Catalunya","license":[{"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0\/es\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Distributed Computing is the paradigm where the application execution is distributed across different computers connected by a communication network. Distributed Computing platforms have evolved very fast during the las decades: starting from Clusters, where a set of computers were working together in a single location; then evolving to the Grids, where computing resources  are shared by different entities, creating a global computing infrastructure which is available to different user communities; and finally becoming in what is currently known as the Cloud, where computing and data resources are provided, on demand, in a very dynamic fashion, and following the Utility Computing model where you pay only for what you consume. \r\nDifferent types of companies and institutions are exploring the potential benefits of moving their IT services and applications to Cloud infrastructures, in order to decouple the management of computing resources from their core business process to become more productive. Nevertheless, migrating software to Clouds is not an easy task, since it requires a deep knowledge of the technology to decompose the application and the capabilities offered by providers and how to use them. Besides this complex deployment process, the current cloud market place has several providers offering resources with different capabilities, prices and quality, and each provider uses their own properties and APIs for describing and accessing their resources. Therefore, when customers want to execute an application in the providers' resources, they must understand the different providers' description, compare them and select the most suitable resources for their interests. Once the provider and resources have been selected, developers have to inter-operate with the different providers' interfaces to perform the application execution steps. To do all the mentioned steps, application developers have to deal with the design and implementation of complex integration procedures. \r\nThis thesis presents several contributions to overcome the aforementioned problems by providing a platform that facilitates and automates the integration of applications in different providers' infrastructures lowering the barrier of adopting new distributed computing infrastructure such as Clouds. The achievement of this objective has been split in several parts. In the first part, we have studied how semantic web technologies are helping to describe applications and to automatically infer a model for deploying them in a distributed platform. Once the application deployment model has been inferred, the second step is finding the resources to deploy and execute the different application components. Regarding this topic, we have studied how semantic web technologies can be applied in the resource allocation problem. Once the different components have been allocated in the providers' resources, it is time to deploy and execute the application components on these resources by invoking a workflow of provider API calls. However, every provider defines their own management interfaces, so the workflow to perform the same actions is different depending on the selected provider. In this thesis, we propose a framework to automatically infer the workflow of provider interface calls required to perform any resource management tasks. In the last part of the thesis, we have studied how to introduce the benefits of software agents for coordinating the application management in distributed platforms. We propose a multi-agent system which is in charge of coordinating the different steps of the application deployment in a distributed way as well as monitoring the correct execution of the application in the computing resources. The different contributions have been validated with a prototype implementation and a set of use cases.<\/jats:p>\n                <jats:p>La Computaci\u00f3n Distribuida es un paradigma donde la ejecuci\u00f3n de aplicaciones se distribuye entre diferentes computadores contados a trav\u00e9s de una red de comunicaci\u00f3n. Las plataformas de computaci\u00f3n distribuida han evolucionado r\u00e1pidamente durante las \u00faltimas d\u00e9cadas, empezando por los \"Clusters\", donde varios computadores est\u00e1n conectados por una red local; pasando por los \"Grids\", donde los recursos computacionales son compartidos por varias instituciones creando un red de computaci\u00f3n global; llegando finalmente a lo que actualmente conocemos como \"Clouds\", donde nos podemos proveer de recursos de manera din\u00e1mica, bajo demanda y pagando solo por lo que consumimos. Actualmente, varias compa\u00f1\u00edas est\u00e1n descubriendo los beneficios de mover sus aplicaciones a las infraestructuras Cloud, desacoplando la administraci\u00f3n de los recursos computacionales de su \"core business\" para ser m\u00e1s productivos. Sin embargo migrar el software al Cloud no es una tarea f\u00e1cil porque se requiere un conocimiento exhaustivo de la tecnolog\u00eda y como usar los servicios ofrecidos por los diferentes proveedores. Adem\u00e1s cada proveedor ofrece recursos con diferentes capacidades, precios y calidades, con su propia interfaz para acceder a ellos. Por consiguiente, cuando un usuario quiere ejecutar una aplicaci\u00f3n en el Cloud, debe entender que ofrece cada proveedor y como usarlo y una vez que ha elegido debe programar los diferentes pasos del despliegue de su aplicaci\u00f3n. Si adem\u00e1s se quieren usar varios proveedores o cambiar a otro, este proceso debe repetirse varias veces. Esta tesis presenta varias contribuciones para mitigar estos problemas dise\u00f1ando una plataforma para facilitar y automatizar la integraci\u00f3n de aplicaciones en los diferentes proveedores. Estas contribuciones se dividen en varias partes: Primero, el estudio de como las tecnolog\u00edas sem\u00e1nticas pueden ayudar para describir aplicaciones y autom\u00e1ticamente inferir como se puede desplegar en un plataforma distribuida. Una vez obtenemos este modelo de despliegue, la segunda contribuci\u00f3n nos presenta como estas mismas tecnolog\u00edas pueden usarse para asignar las diferentes partes del despliegue de la aplicaci\u00f3n a los recursos de los proveedores. Una vez sabemos la asignaci\u00f3n, la siguiente contribuci\u00f3n nos resuelve como se puede usar \"AI planning\" para encontrar la secuencia de servicios que se deben ejecutar para realizar el despliegue deseado. Finalmente, la \u00faltima parte de la tesis, nos presenta como el despliegue y ejecuciones de las aplicaciones puede coordinarse por un sistema multi-agentes de una manera escalable y distribuida. Las diferentes contribuciones de la tesis han sido validadas mediante la implementaci\u00f3n de prototipos y casos de uso.<\/jats:p>","DOI":"10.5821\/dissertation-2117-96024","type":"dissertation","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T02:42:30Z","timestamp":1689734550000},"approved":{"date-parts":[[2015,12,14]]},"source":"Crossref","is-referenced-by-count":0,"title":["Semantic resource management and interoperability between distributed computing platforms"],"prefix":"10.5821","author":[{"sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge","family":"Ejarque Artigas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3865","container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T06:31:55Z","timestamp":1769927515000},"score":1,"resource":{"primary":{"URL":"https:\/\/hdl.handle.net\/2117\/96024"}},"subtitle":[],"editor":[{"given":"Rosa Maria","family":"Badia Sala","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5821\/dissertation-2117-96024","relation":{},"subject":[]}}