6 research outputs found
Proyecto Docente e Investigador, Trabajo Original de Investigación y Presentación de la Defensa, preparado por Germán Moltó para concursar a la plaza de Catedrático de Universidad, concurso 082/22, plaza 6708, área de Ciencia de la Computación e Inteligencia Artificial
Este documento contiene el proyecto docente e investigador del candidato Germán Moltó MartÃnez presentado como requisito para el concurso de acceso a plazas de Cuerpos Docentes Universitarios. Concretamente, el documento se centra en el concurso para la plaza 6708 de Catedrático de Universidad en el área de Ciencia de la Computación en el Departamento de Sistemas Informáticos y Computación de la Universitat Politécnica de València. La plaza está adscrita a la Escola Técnica Superior d'Enginyeria Informà tica y tiene como perfil las asignaturas "Infraestructuras de Cloud Público" y "Estructuras de Datos y Algoritmos".También se incluye el Historial Académico, Docente e Investigador, asà como la presentación usada durante la defensa.Germán Moltó MartÃnez (2022). Proyecto Docente e Investigador, Trabajo Original de Investigación y Presentación de la Defensa, preparado por Germán Moltó para concursar a la plaza de Catedrático de Universidad, concurso 082/22, plaza 6708, área de Ciencia de la Computación e Inteligencia Artificial. http://hdl.handle.net/10251/18903
Stark Broadening of Spectral Lines in Plasmas
Experimental and theoretical studies of Stark broadening of spectral lines in plasmas are the cornerstone of a large number of spectroscopic diagnostics of laboratory and astrophysical plasmas. As such, they are very important both fundamentally and practically, the latter being due to the numerous practical applications of plasmas. Examples are studies dealing with: controlled thermonuclear fusion (that would provide a virtually unlimited source of energy), plasma-based lasers for medical and other purposes, technological microwave discharges (especially those used for manufacturing microchips), a better understanding of solar activity, other astrophysical objects (white dwarfs, flare stars, and so on). The book reviews advances in this area achieved in recent years and presents new original papers building on these advances
Faster Concurrent Range Queries with Contention Adapting Search Trees Using Immutable Data
The need for scalable concurrent ordered set data structures with linearizable range query support is increasing due to the rise of multicore computers, data processing platforms and in-memory databases. This paper presents a new concurrent ordered set with linearizable range query support. The new data structure is based on the contention adapting search tree and an immutable data structure.
Experimental results show that the new data structure is as much as three times faster compared to related data structures. The data structure scales well due to its ability to adapt the sizes of its immutable parts to the contention level and the sizes of the range queries
Mobile cloud healthcare systems using the concept of point–of–care
Recent years have witnessed a rapid growth in delivering/accessing healthcare services on mobile devices. An example of a health practice/application that is benefiting from the mobile evolution is m–health, which is aimed at providing health services to mobile devices on the move. However, mobile devices have restricted computational and storage capacity, and run on batteries that have limited power. These limitations render m–health unable to run the demanding tasks that may be required for accessing/providing health services. The mobile cloud has recently been proposed as a solution for dealing with some of the limitations of mobile devices, such as low storage and computing capacity. However, introducing this solution into the m–health field is not straightforward, as the integration of this technology has specific limitations, such as disconnection issues and concerns over privacy and security. This thesis presents research work investigating the ability to introduce mobile cloud computing technology into the health field (e.g., m–health) to increase the chances of survival in cases of emergencies. This work focuses on providing help to people in emergencies by allowing them to seek/access help via mobile devices reliably and confidently, as well as the ability to build a communication platform between people who require help and professionals who are trusted and qualified to provide it. The concept of point–of–care has been used here, which means providing as much medical support to the public as possible where and when it is needed. This thesis proposes a mobile cloud middleware solution that enhances connectivity aspects by allowing users to create/join a mobile ad–hoc network (MANET) to seek help in the case of emergencies. On the other side, the cloud can reach users who do not have a direct link to the cloud or an Internet connection. The most important advantage of combining a MANET and a mobile cloud is that management tasks such as IP allocation and split/merge operations are shifted to the cloud, which means resources are saved on the mobile side. In addition, two mobile cloud services were designed which have the aim of interacting with users to facilitate help to be provided swiftly in the case of emergencies. The system was deployed and tested on Amazon EC2 cloud and Android–based mobile devices. Experimental results and the reference architecture show that the proposed middleware is feasible and meets pre–defined requirements, such as enhancing the robustness and reliability of the system
Cache affinity optimization techniques for scaling software transactional memory systems on multi-CMP architectures
Software transactional memory (STM) enhances both ease-of-use and concurrency, and is considered one of the next-generation paradigms for parallel programming. Application programs may see hotspots where data conflicts are intensive and seriously degrade the performance. So advanced STM systems employ dynamic concurrency control techniques to curb the conflict rate through properly throttling the rate of spawning transactions. High-end computers may have two or more multicore processors so that data sharing among cores goes through a non-uniform cache memory hierarchy. This poses challenges to concurrency control designs as improper metadata placement and sharing will introduce scalability issues to the system. Poor thread-to-core mappings that induce excessive cache invalidation are also detrimental to the overall performance. In this paper, we share our experience in designing and implementing a new dynamic concurrency controller for Tiny STM, which helps keeping the system concurrency at a near-optimal level. By decoupling unfavourable metadata sharing, our controller design avoids costly inter-processor communications. It also features an affinity-aware thread migration technique that fine-tunes thread placements by observing inter-thread transactional conflicts. We evaluate our implementation using the STAMP benchmark suite and show that the controller can bring around 21% average speedup over the baseline execution. © 2015 IEEE.postprin