Catálogo de publicaciones - libros

IoT Cloud systems provide scalable capacity and dynamic behaviour control of virtual infrastructures for running applications, services and processes. Key aspects in this type of complex systems are the resource optimisation and the performance of dynamic management based on distributed user data metrics and/or IoT application data demands and/or resource utilisation metrics. In this paper we particularly focus on Cloud management perspective – integrating IoT Cloud service data management - based on annotated data of monitored Cloud performance and user profiles (matchmaking) and enabling management systems to use shared infrastructures and resources to enable efficient deployment of IoT services and applications. We illustrate a Cloud service management approach based on matchmaking operations and self-management principles which enable improved distribution and management of IoT services across different Cloud vendors and use the results from the analysis as mechanism to control applications and services deployment in Cloud systems. For our IoT Cloud data management solution we utilize performance metrics expressed with linked data in order to integrate monitored performance data and end user profile information (via linked data relations).

In this paper we discuss the Global Virtualization Architecture (GVA) that enables communications between network entities according to the way they refer to each other rather than understanding the constraints of particular networks. Our approach is to instantiate a virtual network that is based on identities of network entities and their demands on security and network capabilities. An entity may be physical e.g. a human user, a device, or any , or abstract, such as a computer program, service, group, or role. Each entity is identified by a set of attributes so that connections can be 1 to 1, 1 to many, or many to many. We call this a Virtual Group Network (VGN). VGNs are independent of location and device, and their properties may change with time as entities move.

Complying with security and privacy requirements of appliances such as mobile handsets, personal computers, servers for customers, enterprises and governments is mandatory to prevent from theft of sensitive data and to preserve their integrity. Nowadays, with the rising of the Cloud Computing approach in business fields, security and privacy are even more critical. The aim of this article is then to propose a way to build a secure and trustable Cloud. The idea is to spread and embed Secure Elements (SE) on each level of the Cloud in order to make a wide trusted infrastructure which complies with access control and isolation policies. This article presents therefore this new approach of trusted Cloud infrastructure based on a Network of Secure Elements (NoSE), and it illustrates this approach through different use cases.

IoT6 is a research project on the future Internet of Things. It aims at exploiting the potential of IPv6 and related standards to overcome current shortcomings and fragmentation of the Internet of Things. The main challenges and objectives of IoT6 are to research, design and develop a highly scalable IPv6-based Service-Oriented Architecture to achieve interoperability, mobility, cloud computing integration and intelligence distribution among heterogeneous smart things components, applications and services. The present article starts by a short introduction on IPv6 capabilities for the Internet of Things and information on the current deployment of IPv6 in the world. It continues with a presentation of the IoT6 architecture model and its concept of service discovery. Finally, it illustrates the potential of such IPv6-based architecture by presenting the integration of building automation components using legacy protocols.

The Smart City concept relates to improving efficiency of city services and facilitating a more sustainable development of cities. However, it is important to highlight that, in order to effectively progress towards such smart urban environments, the people living in these cities must be tightly engaged in this endeavour. This paper presents two novel services that have been implemented in order to bring the Smart City closer to the citizen. The Participatory Sensing service we are proposing exploits the advanced features of smartphones to make the user part of the ubiquitous sensing infrastructure over which the Smart City concept is built. The Augmented Reality service is connected to the smart city platform in order to create an advanced visualization tool where the plethora of available information is presented to citizens embedded in their natural surroundings. A brief description of the smart city platform on top of which these services are built is also presented.

This work presents a Cognitive Management framework for empowering the Internet of Things (IoT). This framework has the ability to dynamically adapt its behaviour, through self-management functionality, taking into account information and knowledge (obtained through machine learning) on the situation (e.g., internal status and status of environment), as well as policies (designating objectives, constraints, rules, etc.). Cognitive technologies constitute a unique and efficient approach for addressing the technological heterogeneity of the IoT and obtaining situation awareness, reliability and efficiency. The paper also presents a first indicative implementation of the proposed framework, comprising real sensors and actuators. The preliminary results of this work demonstrate high potential towards self-reconfigurable IoT.

The paper addresses an analysis of OSGi in the context of building modular middlewares for the Internet of Things. The Internet of Things (IoT) is an emerging approach to development of intelligent infrastructures combining various devices through the network. OSGi is a framework providing a number of specific mechanisms intended for building modular, fine-grained and loosely-coupled Java applications. Although a number of works have been devoted to OSGi, and several OSGi-based middlewares have been designed for the IoT, they do not thoroughly utilize mechanisms of OSGi. In this paper rich OSGi functions are analysed in terms of development middlewares for the IoT. An example implementation of the system illustrates the presented considerations.

A growing number of connected devices and solutions, related to the concept of Internet of Things, makes our environment increasingly smart and capable. However, existing application development processes and tools, designed for single device applications, do not allow to fully address this opportunity and to efficiently create applications that employ multiple devices and use the context information provided by ubiquitous sensors. To address this situation we propose a concept of Device Independent Architecture, which can be used to separate applications from devices and to provide a uniform platform for building smart multi-device applications. The main ideas of the Device Independent Architecture is to move processing from end-devices to a server side (backend) and to introduce a middleware layer that separates applications from devices and supports development of multi-device applications.

Future Internet Networked Enterprise Systems demand enhanced collaboration and mobility support. FI technologies are fundamental for increased service differentiation and cost optimisation in manufacturing environments. However, such ICT-based capabilities are not easy to introduce, in particular to SMEs, due to high costs and complexity. To progress in more effective development of value added services based on Web 2.0 principles within a mobile enterprise collaboration context, the complexity of collaboration in terms of information management needs to be leveraged from the end-users. Linked Data (LD) provides a universal and lightweight approach for the collaboration network. However, the elaboration of collaborative business processes based on LD still needs to be properly formulated for FI systems. The aim of this paper is to present a reference architecture for mobile enterprise collaboration based on LD interoperability. Moreover, security, semantic data lifting, business process modelling interoperability and mobile app orchestration enablers are presented to facilitate trustful and effective inter-organisational collaboration.

The information generated from the (IoT) potentially enables a better understanding of the physical world for humans and supports creation of ambient intelligence for a wide range of applications in different domains. A semantics-enabled service layer is a promising approach to facilitate seamless access and management of the information from the large, distributed and heterogeneous sources. This paper presents the efforts of the IoT.est project towards developing a framework for service creation and testing in an IoT environment. The architecture design extends the existing IoT reference architecture and enables a test-driven, semantics-based management of the entire service lifecycle. The validation of the architecture is shown though a dynamic test case generation and execution scenario.