Now showing items 67-86 of 358
León Gaixas, Sergio (Date of defense: 2018-06-29)
With an increasing number of devices and heterogeneous distributed applications, it is becoming evident that service delivered by the current Internet fall short to supply the actual Quality of Service (QoS) requirements ...
Njoroge Kahira, Albert (Date of defense: 2021-07-30)
Deep Learning has achieved outstanding results in many fields and led to groundbreaking discoveries. With the steady increase in datasets and model sizes, there has been a recent surge in Machine Learning applications in ...
Liu, Peini (Date of defense: 2023-07-17)
(English) The convergence of High Performance Computing (HPC), Big Data (BD), and Machine Learning (ML) in the computing continuum is being pursued in earnest across the academic and industry. We envision virtualization ...
Gil Gómez, Maria Luisa (Date of defense: 1994-07-04)
El objetivo de nuestro trabajo ha sido defender la tesis de que, para los entornos de trabajos actuales, multiprocesador, una opción válida para obtener el mejor rendimiento de las aplicaciones paralelas de propósito general ...
Neumann, Axel (Date of defense: 2017-12-20)
Community Networks (CN) are naturally open and decentralized structures, that grow organically with the addition of heterogeneous network devices, contributed and configured as needed by their participants. The continuous ...
Cortés, Toni (Date of defense: 1997-12-12)
Corbalán González, Julita (Date of defense: 2002-07-05)
El rendimiento de los actuales sistemas multiprocesador de memoria compartida depende tanto de la utilización eficiente de todos los componentes del sistema (procesadores, memoria, etc), como de las características del ...
Ruiz Luque, José Carlos (Date of defense: 2014-05-29)
In recent years, multi-threaded processors have become more and more popular in industry in order to increase the system aggregated performance and per-application performance, overcoming the limitations imposed by the ...
Pedrola Escribà, Oscar (Date of defense: 2012-11-30)
Scaling traditional telecommunication networks so that they are able to cope with the volume of future traffic demands and the stringent European Commission (EC) regulations on emissions would entail unaffordable investments. ...
Angelou, Marianna (Date of defense: 2012-04-16)
Network planning and operation in core optical networks require processes that lead to a cost-effective network able to effectively accommodate the given traffic demands. Crosslayer techniques that exploit information ...
Pérez, Hugo (Date of defense: 2019-05-09)
Large-scale simulation and visualization are essential topics in areas as different as sociology, physics, urbanism, training, entertainment among others. This kind of systems requires a vast computational power and memory ...
Mrazovic, Petar (Date of defense: 2018-10-22)
Urban rörlighet anses ofta vara en av de främsta möjliggörarna för en hållbar statsutveckling. Idag skulle det dock kräva ett betydande skifte mot renare och effektivare stadstransporter vilket skulle stödja ökad social ...
Baig, Shuja-ur-Rehman (Date of defense: 2019-12-17)
Nowadays, Cloud Computing is widely used to host and deliver services over the Internet. The architecture of clouds is complex due to its heterogeneous nature of hardware and is hosted in large scale data centers. To ...
Martí Fraiz, Jonathan (Date of defense: 2017-03-31)
Existing solutions for data sharing are not fully compatible with multi-provider contexts. Traditionally, providers offer their datasets through hermetic Data Services with restricted APIs. Therefore, consumers are compelled ...
Rodríguez Natal, Alberto (Date of defense: 2016-07-04)
Software-Defined Networking (SDN) arose as a solution to address the limitations of traditional networking. In SDN networks, the control-plane is decoupled from the data-plane devices and logically centralized in a new ...
Herruzo Sánchez, Pedro (Date of defense: 2023-10-30)
(English) This thesis explores the intersection of deep learning and spatio-temporal forecasting, focusing on the challenges and opportunities present in applying machine learning methods to predict complex geospatial and ...
Campos Camúñez, Víctor (Date of defense: 2020-12-22)
Deep learning has revolutionized the field of artificial intelligence in the past decade. Although the development of these techniques spans over several years, the recent advent of deep learning is explained by an increased ...
Ciaccia, Francesco (Date of defense: 2020-12-04)
Nowadays massive amounts of data are being moved over the Internet thanks to data-hungry applications, Big Data, and multimedia content. Combined with a reduction in cost and augmented reliability for high-speed broadband ...
Reyes Ávila, Sebastian (Date of defense: 2012-11-23)
This work presents the development and experimental validation of a generic workflow model applicable to any parameter sweep problem: the Parameter Sweep Scientific Workflow (PSWF) model. As part of it, a model for the ...
Gallardo Gómez, Antonia (Date of defense: 2013-10-07)
Current distributed systems that are capable of sharing resources in a distributed manner are experiencing an increase in their use and scope.This increased use in various application areas is largely due to the low cost ...