{"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":[[2026,1,29]],"date-time":"2026-01-29T16:25:03Z","timestamp":1769703903562,"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\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>In recent years there has been an extraordinary growth of the Internet of Things (IoT) and its protocols. The increasing diffusion of electronic devices with identification, computing and communication capabilities is laying ground for the emergence of a highly distributed service and networking environment. \r\nThe above mentioned situation implies that there is an increasing demand for advanced IoT data management and processing platforms. Such platforms require support for multiple protocols at the edge for extended connectivity with the objects, but also need to exhibit uniform internal data organization and advanced data processing capabilities to fulfill the demands of the application and services that consume IoT data.\r\nOne of the initial approaches to address this demand is the integration between IoT and the Cloud computing paradigm. There are many benefits of integrating IoT with Cloud computing. The IoT generates massive amounts of data, and Cloud computing provides a pathway for that data to travel to its destination. But today\u2019s Cloud computing models do not quite fit for the volume, variety, and velocity of data that the IoT generates.\r\nAmong the new technologies emerging around the Internet of Things to provide a new whole scenario, the Fog Computing paradigm has become the most relevant. Fog computing was introduced a few years ago in response to challenges posed by many IoT applications, including requirements such as very low latency, real-time operation, large geo-distribution, and mobility. Also this low latency, geo-distributed and mobility environments are covered by the network architecture MEC (Mobile Edge Computing) that provides an IT service environment and Cloud-computing capabilities at the edge of the mobile network, within the Radio Access Network (RAN) and in close proximity to mobile subscribers. Fog computing addresses use cases with requirements far beyond Cloud-only solution capabilities. The interplay between Cloud and Fog computing is crucial for the evolution of the so-called IoT, but the reach and specification of such interplay is an open problem. \r\nThis thesis aims to find the right techniques and design decisions to build a scalable distributed system for the IoT under the Fog Computing paradigm to ingest and process data. The final goal is to explore the trade-offs and challenges in the design of a solution from Edge to Cloud to address opportunities that current and future technologies will bring in an integrated way. This thesis describes an architectural approach that addresses some of the technical challenges behind the convergence between IoT, Cloud and Fog with special focus on bridging the gap between Cloud and Fog. To that end, new models and techniques are introduced in order to explore solutions for IoT environments.\r\nThis thesis contributes to the architectural proposals for IoT ingestion and data processing by 1) proposing the characterization of a platform for hosting IoT workloads in the Cloud providing multi-tenant data stream processing capabilities, the interfaces over an advanced data-centric technology, including the building of a state-of-the-art infrastructure to evaluate the performance and to validate the proposed solution. 2) studying an architectural approach following the Fog paradigm that addresses some of the technical challenges found in the first contribution. The idea is to study an extension of the model that addresses some of the central challenges behind the converge of Fog and IoT. 3) Design a distributed and scalable platform to perform IoT operations in a moving data environment. The idea after study data processing in Cloud, and after study the convenience of the Fog paradigm to solve the IoT close to the Edge challenges, is to define the protocols, the interfaces and the data management to solve the ingestion and processing of data in a distributed and orchestrated manner for the Fog Computing paradigm for IoT in a moving data environment.<\/jats:p>\n                <jats:p>En els \u00faltims anys hi ha hagut un gran creixement del Internet of Things (IoT) i els seus protocols. La creixent difusi\u00f3 de dispositius electr\u00f2nics amb capacitats d'identificaci\u00f3, computaci\u00f3 i comunicaci\u00f3 esta establint les bases de l\u2019aparici\u00f3 de serveis altament distribu\u00efts i del seu entorn de xarxa. L\u2019esmentada situaci\u00f3 implica que hi ha una creixent demanda de plataformes de processament i gesti\u00f3 avan\u00e7ada de dades per IoT. Aquestes plataformes requereixen suport per a m\u00faltiples protocols al Edge per connectivitat amb el objectes, per\u00f2 tamb\u00e9 necessiten d\u2019una organitzaci\u00f3 de dades interna i capacitats avan\u00e7ades de processament de dades per satisfer les demandes de les aplicacions i els serveis que consumeixen dades IoT. Una de les aproximacions inicials per abordar aquesta demanda \u00e9s la integraci\u00f3 entre IoT i el paradigma del Cloud computing. Hi ha molts avantatges d'integrar IoT amb el Cloud. IoT genera quantitats massives de dades i el Cloud proporciona una via perqu\u00e8 aquestes dades viatgin a la seva destinaci\u00f3. Per\u00f2 els models actuals del Cloud no s'ajusten del tot al volum, varietat i velocitat de les dades que genera l'IoT. Entre les noves tecnologies que sorgeixen al voltant del IoT per proporcionar un escenari nou, el paradigma del Fog Computing s'ha convertit en la m\u00e9s rellevant. Fog Computing es va introduir fa uns anys com a resposta als desafiaments que plantegen moltes aplicacions IoT, incloent requisits com baixa lat\u00e8ncia, operacions en temps real, distribuci\u00f3 geogr\u00e0fica extensa i mobilitat. Tamb\u00e9 aquest entorn est\u00e0 cobert per l'arquitectura de xarxa MEC (Mobile Edge Computing) que proporciona serveis de TI i capacitats Cloud al edge per la xarxa m\u00f2bil dins la Radio Access Network (RAN) i a prop dels subscriptors m\u00f2bils. El Fog aborda casos d\u2019us amb requisits que van m\u00e9s enll\u00e0 de les capacitats de solucions nom\u00e9s Cloud. La interacci\u00f3 entre Cloud i Fog \u00e9s crucial per a l'evoluci\u00f3 de l'anomenat IoT, per\u00f2 l'abast i especificaci\u00f3 d'aquesta interacci\u00f3 \u00e9s un problema obert. Aquesta tesi t\u00e9 com objectiu trobar les decisions de disseny i les t\u00e8cniques adequades per construir un sistema distribu\u00eft escalable per IoT sota el paradigma del Fog Computing per a ingerir i processar dades. L'objectiu final \u00e9s explorar els avantatges\/desavantatges i els desafiaments en el disseny d'una soluci\u00f3 des del Edge al Cloud per abordar les oportunitats que les tecnologies actuals i futures portaran d'una manera integrada. \r\nAquesta tesi descriu un enfocament arquitect\u00f2nic que aborda alguns dels reptes t\u00e8cnics que hi ha darrere de la converg\u00e8ncia entre IoT, Cloud i Fog amb especial atenci\u00f3 a reduir la bretxa entre el Cloud i el Fog. Amb aquesta finalitat, s'introdueixen nous models i t\u00e8cniques per explorar solucions per entorns IoT. \r\nAquesta tesi contribueix a les propostes arquitect\u00f2niques per a la ingesta i el processament de dades IoT mitjan\u00e7ant\r\n 1) proposant la caracteritzaci\u00f3 d'una plataforma per a l'allotjament de workloads IoT en el Cloud que proporcioni capacitats de processament de flux de dades multi-tenant, les interf\u00edcies a trav\u00e9s d'una tecnologia centrada en dades incloent la construcci\u00f3 d'una infraestructura avan\u00e7ada per avaluar el rendiment i validar la soluci\u00f3 proposada. \r\n2) estudiar un enfocament arquitect\u00f2nic seguint el paradigma Fog que aborda alguns dels reptes t\u00e8cnics que es troben en la primera contribuci\u00f3. La idea \u00e9s estudiar una extensi\u00f3 del model que abordi alguns dels reptes centrals que hi ha darrere de la converg\u00e8ncia de Fog i IoT. \r\n3) Dissenyar una plataforma distribu\u00efda i escalable per a realitzar operacions IoT en un entorn de dades en moviment. La idea despr\u00e9s d'estudiar el processament de dades en el Cloud, i despr\u00e9s d'estudiar la conveni\u00e8ncia del paradigma Fog per resoldre els desafiaments de IoT a prop del Edge, \u00e9s definir els protocols, les interf\u00edcies i la gesti\u00f3 de dades per resoldre la ingesti\u00f3 i processament de dades d\u2019una manera m\u00e9s eficient<\/jats:p>","DOI":"10.5821\/dissertation-2117-132778","type":"dissertation","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T05:40:18Z","timestamp":1689745218000},"approved":{"date-parts":[[2019,4,29]]},"source":"Crossref","is-referenced-by-count":0,"title":["Improving resource efficiency in virtualized datacenters"],"prefix":"10.5821","author":[{"sequence":"additional","affiliation":[]},{"given":"Marcelo","family":"Amaral","sequence":"first","affiliation":[]}],"member":"3865","container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T06:42:39Z","timestamp":1769668959000},"score":1,"resource":{"primary":{"URL":"https:\/\/hdl.handle.net\/2117\/132778"}},"subtitle":[],"editor":[{"given":"David","family":"Carrera P\u00e9rez","sequence":"first","affiliation":[]},{"given":"Jord\u00e0","family":"Polo Bard\u00e9s","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5821\/dissertation-2117-132778","relation":{},"subject":[]}}