On Line Service Composition in the Integrated Clinical Environment for eHealth and Medical Systems

Medical and eHealth systems are progressively realized in the context of standardized architectures that support safety and ease the integration of the heterogeneous (and often proprietary) medical devices and sensors. The Integrated Clinical Environment (ICE) architecture appeared recently with the goal of becoming a common framework for defining the structure of the medical applications as concerns the safe integration of medical devices and sensors.This research was partly supported by iLand (EU ARTEMIS-1-00026) granted by the ARTEMIS JUand the Spanish Ministry of Industry, Commerce and Tourism. It has also been partly funded by the REM4VSS (TIN2011-28339) project grant of the Spanish Ministry of Economy and Competitiveness and by Universidad Carlos III de Madrid. The authors would also like to mention the large development team of the iLand reference implementation that performed an outstanding role to achieve a software proven also on commercial applications, and they thank them for their valuable efforts and work.Publicad

Introducing the new paradigm of Social Dispersed Computing: Applications, Technologies and Challenges

[EN] If last decade viewed computational services as a utility then surely this decade has transformed computation into a commodity. Computation is now progressively integrated into the physical networks in a seamless way that enables cyber-physical systems (CPS) and the Internet of Things (IoT) meet their latency requirements. Similar to the concept of ¿platform as a service¿ or ¿software as a service¿, both cloudlets and fog computing have found their own use cases. Edge devices (that we call end or user devices for disambiguation) play the role of personal computers, dedicated to a user and to a set of correlated applications. In this new scenario, the boundaries between the network node, the sensor, and the actuator are blurring, driven primarily by the computation power of IoT nodes like single board computers and the smartphones. The bigger data generated in this type of networks needs clever, scalable, and possibly decentralized computing solutions that can scale independently as required. Any node can be seen as part of a graph, with the capacity to serve as a computing or network router node, or both. Complex applications can possibly be distributed over this graph or network of nodes to improve the overall performance like the amount of data processed over time. In this paper, we identify this new computing paradigm that we call Social Dispersed Computing, analyzing key themes in it that includes a new outlook on its relation to agent based applications. We architect this new paradigm by providing supportive application examples that include next generation electrical energy distribution networks, next generation mobility services for transportation, and applications for distributed analysis and identification of non-recurring traffic congestion in cities. The paper analyzes the existing computing paradigms (e.g., cloud, fog, edge, mobile edge, social, etc.), solving the ambiguity of their definitions; and analyzes and discusses the relevant foundational software technologies, the remaining challenges, and research opportunities.Garcia Valls, MS.; Dubey, A.; Botti, V. (2018). Introducing the new paradigm of Social Dispersed Computing: Applications, Technologies and Challenges. Journal of Systems Architecture. 91:83-102. https://doi.org/10.1016/j.sysarc.2018.05.007S831029

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

REVISIÓN DE LA INCORPORACIÓN DE LA ARQUITECTURA ORIENTADA A SERVICIOS EN LAS ORGANIZACIONES.

Las Tecnologías de la Información se ha transformado en la tecnología de negocios de las empresas modernas, son empleadas para gestión de los procesos y por ende de la información que a través de ellos se maneja, por lo que surge el gran desafío de cómo mejorar la capacidad de los sistemas, en este sentido se hace evidente el papel de la arquitectura orientada a servicios (SOA) la cual permite la integración se servicios para que varias aplicaciones puedan acceder desde un solo lugar mejorando significativamente la gestión empresarial desde diferentes contextos como el empresarial, el médico, el militar y el internet de las cosas

Towards Data Sharing across Decentralized and Federated IoT Data Analytics Platforms

In the past decade the Internet-of-Things concept has overwhelmingly entered all of the fields where data are produced and processed, thus, resulting in a plethora of IoT platforms, typically cloud-based, that centralize data and services management. In this scenario, the development of IoT services in domains such as smart cities, smart industry, e-health, automotive, are possible only for the owner of the IoT deployments or for ad-hoc business one-to-one collaboration agreements. The realization of "smarter" IoT services or even services that are not viable today envisions a complete data sharing with the usage of multiple data sources from multiple parties and the interconnection with other IoT services. In this context, this work studies several aspects of data sharing focusing on Internet-of-Things. We work towards the hyperconnection of IoT services to analyze data that goes beyond the boundaries of a single IoT system. This thesis presents a data analytics platform that: i) treats data analytics processes as services and decouples their management from the data analytics development; ii) decentralizes the data management and the execution of data analytics services between fog, edge and cloud; iii) federates peers of data analytics platforms managed by multiple parties allowing the design to scale into federation of federations; iv) encompasses intelligent handling of security and data usage control across the federation of decentralized platforms instances to reduce data and service management complexity. The proposed solution is experimentally evaluated in terms of performances and validated against use cases. Further, this work adopts and extends available standards and open sources, after an analysis of their capabilities, fostering an easier acceptance of the proposed framework. We also report efforts to initiate an IoT services ecosystem among 27 cities in Europe and Korea based on a novel methodology. We believe that this thesis open a viable path towards a hyperconnection of IoT data and services, minimizing the human effort to manage it, but leaving the full control of the data and service management to the users' will

RFID Technology in Intelligent Tracking Systems in Construction Waste Logistics Using Optimisation Techniques

Construction waste disposal is an urgent issue for protecting our environment. This paper proposes a waste management system and illustrates the work process using plasterboard waste as an example, which creates a hazardous gas when land filled with household waste, and for which the recycling rate is less than 10% in the UK. The proposed system integrates RFID technology, Rule-Based Reasoning, Ant Colony optimization and knowledge technology for auditing and tracking plasterboard waste, guiding the operation staff, arranging vehicles, schedule planning, and also provides evidence to verify its disposal. It h relies on RFID equipment for collecting logistical data and uses digital imaging equipment to give further evidence; the reasoning core in the third layer is responsible for generating schedules and route plans and guidance, and the last layer delivers the result to inform users. The paper firstly introduces the current plasterboard disposal situation and addresses the logistical problem that is now the main barrier to a higher recycling rate, followed by discussion of the proposed system in terms of both system level structure and process structure. And finally, an example scenario will be given to illustrate the system’s utilization