Cooperation in open, decentralized, and heterogeneous computer networks 

    Neumann, Axel (Fecha de defensa: 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 ...

    Cooperative caching and prefetching in parallel/distributed file systems 

    Cortés, Toni (Fecha de defensa: 1997-12-12)

    Coordinated Scheduling and Dynamic Performance Analysis in Multiprocessors Systems 

    Corbalán González, Julita (Fecha de defensa: 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 ...

    CPU accounting in multi-threaded processors 

    Ruiz Luque, José Carlos (Fecha de defensa: 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 ...

    Cross-layer modeling and optimization of next-generation internet networks 

    Pedrola Escribà, Oscar (Fecha de defensa: 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. ...

    Cross-layer optimization in optical networks 

    Angelou, Marianna (Fecha de defensa: 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 ...

    Crowd simulation and visualization 

    Pérez, Hugo (Fecha de defensa: 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 ...

    Crowdsensing-driven route optimisation algorithms for smart urban mobility 

    Mrazovic, Petar (Fecha de defensa: 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 ...

    Data center's telemetry reduction and prediction through modeling techniques 

    Baig, Shuja-ur-Rehman (Fecha de defensa: 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 ...

    dataClay : next generation object storage 

    Martí Fraiz, Jonathan (Fecha de defensa: 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 ...

    Decoupling state from control in software-defined networking 

    Rodríguez Natal, Alberto (Fecha de defensa: 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 ...

    Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictions 

    Herruzo Sánchez, Pedro (Fecha de defensa: 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 ...

    Deep learning that scales: leveraging compute and data 

    Campos Camúñez, Víctor (Fecha de defensa: 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 ...

    Definition of new WAN paradigms enabled by smart measurements 

    Ciaccia, Francesco (Fecha de defensa: 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 ...

    Desarrollo de un workflow genérico para el modelado de problemas de barrido paramétrico en sistemas distribuidos 

    Reyes Ávila, Sebastian (Fecha de defensa: 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 ...

    Descubrimiento de servicios tolerante a fallos basado en hipercubos para sistemas distribuidos de gran escala 

    Gallardo Gómez, Antonia (Fecha de defensa: 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 ...

    Design and evaluation of tridiagonal solvers for vector and parallel computers 

    Larriba Pey, Josep Lluís (Fecha de defensa: 1995-03-10)

    Design of a distributed memory unit for clustered microarchitectures 

    Bieschewski, Stefan (Fecha de defensa: 2013-06-20)

    Power constraints led to the end of exponential growth in single–processor performance, which characterized the semiconductor industry for many years. Single–chip multiprocessors allowed the performance growth to continue ...

    Design of Clustered Superscalar Microarchitectures 

    Parcerisa Bundó, Joan Manuel (Fecha de defensa: 2004-06-17)

    L'objectiu d'aquesta tesi és proposar noves tècniques per al disseny de microarquitectures clúster superescalars eficients. Les microarquitectures clúster particionen el disseny de diversos components crítics del hardware ...

    Design of energy-efficient vector units for in-order cores 

    Stanić, Milan (Fecha de defensa: 2017-01-31)

    In the last 15 years, power dissipation and energy consumption have become crucial design concerns for almost all computer systems. Technology feature size scaling leads to higher power density and therefore to complex and ...