Antifragility = Elasticity + Resilience + Machine Learning: Models and Algorithms for Open System Fidelity

We introduce a model of the fidelity of open systems - fidelity being interpreted here as the compliance between corresponding figures of interest in two separate but communicating domains. A special case of fidelity is given by real-timeliness and synchrony, in which the figure of interest is the physical and the system's notion of time. Our model covers two orthogonal aspects of fidelity, the first one focusing on a system's steady state and the second one capturing that system's dynamic and behavioural characteristics. We discuss how the two aspects correspond respectively to elasticity and resilience and we highlight each aspect's qualities and limitations. Finally we sketch the elements of a new model coupling both of the first model's aspects and complementing them with machine learning. Finally, a conjecture is put forward that the new model may represent a first step towards compositional criteria for antifragile systems.Comment: Preliminary version submitted to the 1st International Workshop "From Dependable to Resilient, from Resilient to Antifragile Ambients and Systems" (ANTIFRAGILE 2014), https://sites.google.com/site/resilience2antifragile

A Component-Based Approach for Securing Indoor Home Care Applications

eHealth systems have adopted recent advances on sensing technologies together with advances in information and communication technologies (ICT) in order to provide people-centered services that improve the quality of life of an increasingly elderly population. As these eHealth services are founded on the acquisition and processing of sensitive data (e.g., personal details, diagnosis, treatments and medical history), any security threat would damage the public's confidence in them. This paper proposes a solution for the design and runtime management of indoor eHealth applications with security requirements. The proposal allows applications definition customized to patient particularities, including the early detection of health deterioration and suitable reaction (events) as well as security needs. At runtime, security support is twofold. A secured component-based platform supervises applications execution and provides events management, whilst the security of the communications among application components is also guaranteed. Additionally, the proposed event management scheme adopts the fog computing paradigm to enable local event related data storage and processing, thus saving communication bandwidth when communicating with the cloud. As a proof of concept, this proposal has been validated through the monitoring of the health status in diabetic patients at a nursing home.This work was financed under project DPI2015-68602-R (MINECO/FEDER, UE), UPV/EHU under project PPG17/56 and GV/EJ under recognized research group IT914-16

Ingeniería basada en modelos aplicada a sistemas distribuidos sensibles al contexto.

239 p.En esta Tesis Doctoral se plantea una metodología, soportada por mecanismos y herramientas, que da soporte al ciclo de desarrollo de aplicaciones distribuidas sensibles al contexto, aquéllas que supervisan su entorno físico con objeto de detectar cambios en él y reaccionar rápida y adecuadamente. Son aplicaciones presentes en diferentes campos de aplicación que demandan requisitos tales como ejecución en entornos distribuidos y heterogéneos, personalización de la supervisión, adaptación a cambios relevantes en su contexto, gestión de la calidad específica de cada aplicación, disponibilidad y recuperación ante situaciones de fallo. En concreto, se propone una aproximación de modelado genérica que permite la especificación y diseño de estas aplicaciones, independientemente de la plataforma de gestión responsable de su ejecución y atendiendo a los diferentes expertos que participan: expertos de dominio y desarrolladores de software. Se hace uso de la ingeniería dirigida por modelos para lograr la separación de dominios necesaria. Así, el experto de dominio realiza el diseño arquitectónico en el que se especifican todos sus requisitos, mientras que el desarrollador de software se centra en el diseño e implementación de la solución software correspondiente. Por tanto, la aproximación de modelado recoge los requisitos de las aplicaciones que una plataforma de gestión debe cumplir en tiempo de ejecución, al mismo tiempo que captura la información necesaria para la generación de su código. También se plantea un entorno de desarrollo integrado, basado en dicha aproximación, que da soporte al ciclo de desarrollo, cuyo prototipo se ha validado en un demostrador en el campo de la asistencia domiciliaria