Combining Edge Computing and Data Processing with Kubernetes

Esteban Uranga, Jaime de

Publication:
Combining Edge Computing and Data Processing with Kubernetes

dc.contributor.author	Esteban Uranga, Jaime de
dc.contributor.departamento	UC3M. Departamento de Informática	es
dc.contributor.tutor	Expósito Singh, David
dc.date.accessioned	2021-05-26T14:01:43Z
dc.date.available	2021-05-26T14:01:43Z
dc.date.issued	2020
dc.date.submitted	2020-07
dc.description.abstract	The objective of this thesis is to explore and expand on cutting edge concepts that have been introduced in the coursework during this bachelor's degree. In particular, we will be going into the world of distributed and "Cloud Computing", including the use of "Internet of Things" devices. We will also demonstrate our use case scenario implementing "Artificial Intelligence" concepts, including building and configuring a Neural Network. In more detail, we explore how a computer cluster is built, scaling an application throughout an array of connected computers, building such applications on containers, and deploying them into the cluster. To build our use case scenario we will be developing an intelligent temperature control system that uses AI to determine the future temperature and using that prediction to reduce network congestion. This temperature control system and its other supporting applications will be run on the computer cluster and its performance will be evaluated.	en
dc.description.degree	Grado en Ingeniería Informática	es
dc.identifier.uri	https://hdl.handle.net/10016/32766
dc.language.iso	eng	en
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.rights.accessRights	open access	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject.eciencia	Informática	es
dc.subject.other	Cloud computing	en
dc.subject.other	Internet de las cosas	es
dc.subject.other	Inteligencia artificial	es
dc.title	Combining Edge Computing and Data Processing with Kubernetes	en
dc.type	bachelor thesis	*
dspace.entity.type	Publication