Now showing items 61-80 of 362

    Adaptive learning-based resource management strategy in fog-to-cloud 

    Sengupta, Souvik (Date of defense: 2020-10-20)

    Technology in the twenty-first century is rapidly developing and driving us into a new smart computing world, and emerging lots of new computing architectures. Fog-to-Cloud (F2C) is among one of them, which emerges to ...

    Mobility-aware mechanisms for fog node discovery and selection 

    Rejiba, Zeineb (Date of defense: 2020-09-10)

    The recent development of delay-sensitive applications has led to the emergence of the fog computing paradigm. Within this paradigm, computation nodes present at the edge of the network can act as fog nodes (FNs) capable ...

    Programming models to support data science workflows 

    Ramón-Cortés Vilarrodona, Cristián (Date of defense: 2020-09-21)

    Data Science workflows have become a must to progress in many scientific areas such as life, health, and earth sciences. In contrast to traditional HPC workflows, they are more heterogeneous; combining binary executions, ...

    Enabling knowledge-defined networks : deep reinforcement learning, graph neural networks and network analytics 

    Suárez-Varela Macià, José Rafael (Date of defense: 2020-06-26)

    Significant breakthroughs in the last decade in the Machine Learning (ML) field have ushered in a new era of Artificial Intelligence (AI). Particularly, recent advances in Deep Learning (DL) have enabled to develop a new ...

    Exploiting frame coherence in real-time rendering for energy-efficient GPUs 

    Anglada Sánchez, Martí (Date of defense: 2020-06-09)

    The computation capabilities of mobile GPUs have greatly evolved in the last generations, allowing real-time rendering of realistic scenes. However, the desire for processing complex environments clashes with the ...

    Security strategies in genomic files 

    Naro, Daniel (Date of defense: 2020-05-15)

    There are new mechanisms to sequence and process the genomic code, discovering thus diagnostic tools and treatments. The file for a sequenced genome can reach hundreds of gigabytes. Thus, for further studies, we need new ...

    Virtualization techniques for memory resource exploitation 

    Garrido Platero, Luis Angel (Date of defense: 2019-11-26)

    Cloud infrastructures have become indispensable in our daily lives with the rise of cloud-based services offered by companies like Facebook, Google, Amazon and many others. These cloud infrastructures use a large numbers ...

    Exploring the topical structure of short text through probability models : from tasks to fundamentals 

    Capdevila Pujol, Joan (Date of defense: 2019-09-26)

    Recent technological advances have radically changed the way we communicate. Today’s communication has become ubiquitous and it has fostered the need for information that is easier to create, spread and consume. As a ...

    An extensive study on iterative solver resilience : characterization, detection and prediction 

    Mutlu, Burcu O. (Date of defense: 2019-11-12)

    Soft errors caused by transient bit flips have the potential to significantly impactan applicalion's behavior. This has motivated the design of an array of techniques to detect, isolate, and correct soft errors using ...

    Ambient intelligence in buildings : design and development of an interoperable Internet of Things platform 

    Sembroiz Ausejo, David (Date of defense: 2020-03-06)

    During many years, people and governments have been warned about the increasing levels of pollution and greenhouse gases (GHG) emissions that are endangering our lives on this planet. The Information and Communication ...

    On the limits of probabilistic timing analysis 

    Milutinovic, Suzana (Date of defense: 2019-12-18)

    Over the last years, we are witnessing the steady and rapid growth of Critica! Real-Time Embedded Systems (CRTES) industries, such as automotive and aerospace. Many of the increasingly-complex CRTES' functionalities that ...

    Improving decision tree and neural network learning for evolving data-streams 

    Marrón Vida, Diego (Date of defense: 2019-12-19)

    High-throughput real-time Big Data stream processing requires fast incremental algorithms that keep models consistent with most recent data. In this scenario, Hoeffding Trees are considered the state-of-the-art single ...

    Hardware/software co-design for data-intensive genomics workloads 

    Cadenelli, Luca (Date of defense: 2019-12-19)

    Since the last decade, the main components of computer systems have been evolving, diversifying, to overcome their physical limits and to minimize their energy footprint. Hardware specialization and heterogeneity have ...

    Data center's telemetry reduction and prediction through modeling techniques 

    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 ...

    Communication reduction techniques in numerical methods and deep neural networks 

    Zhuang, Sicong (Date of defense: 2019-11-28)

    Inter-node communication has turned out to be one of the determining factors of the performance on modern HPC systems. Furthermore, the situation only gets worse with the ever-incresing size of the cores involved. Hence, ...

    Knowledge aggregation in people recommender systems : matching skills to tasks 

    Nguyen, Jennifer (Date of defense: 2019-11-08)

    People recommender systems (PRS) are a special type of RS. They are often adopted to identify people capable of performing a task. Recommending people poses several challenges not exhibited in traditional RS. Elements such ...

    Security architecture for Fog-To-Cloud continuum system 

    Kahvazadeh, Sarang (Date of defense: 2019-11-12)

    Nowadays, by increasing the number of connected devices to Internet rapidly, cloud computing cannot handle the real-time processing. Therefore, fog computing was emerged for providing data processing, filtering, aggregating, ...

    ConOps for a safe integration of multi-RPAS operations in civil airspace 

    Fas Millán, Miguel Ángel (Date of defense: 2019-11-22)

    The gradual integration of remotely piloted aircraft systems (RPAS) in civil airspace, sharing airways with commercial flights, is expected to be completed once the legal issues and those regarding the unmanned traffic ...

    Development and management of collective network and cloud computing infrastructures 

    Baig Viñas, Roger (Date of defense: 2019-11-18)

    In the search and development of more participatory models for infrastructure development and management, in this dissertation, we investigate models for the financing, deployment, and operation of network and cloud computing ...

    Crowd simulation and visualization 

    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 ...