Manzalini A.,Telecom Italia |
Saracco R.,EIT ICT Labs
SDN4FNS 2013 - 2013 Workshop on Software Defined Networks for Future Networks and Services | Year: 2013
Technology advances and costs reductions in processing, storage and communications will determine, in the next years, a growing amassing of IT and networking resources at the edge of current networks (i.e., not only in the distribution and access segments, but up to the end Users devices). Moreover, the edge is also where we are witnessing "intelligence" migrating, already since a few years. This paper argues that the adoption, in this area, of Software Defined Networks and Network Function Virtualization solutions will create a sort of distributed communication "fabric" offering an enormous processing and storage power, to execute functions and services, and to store data. This, together with the economic drive given by a myriad of new Players (entering the arena) along with the rapid expansion of ICT services, will lead to a shift from a network infrastructure, whose capabilities are statically "designed and provisioned", to an highly flexible edge fabric whose dynamics is an emergent property of the ever changing aggregation and usage of resources.
Feld M.,German Research Center for Artificial Intelligence |
Muller C.,German Research Center for Artificial Intelligence |
Muller C.,EIT ICT Labs
Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2011 | Year: 2011
Cars have been increasingly equipped with technology, meeting the demand of people for safety, connectivity, and comfort. Upcoming HMIs provide access to in-car systems and web services in a personalized manner that facilitates a large array of functionality even while driving, with other passengers also benefiting from an enhanced experience. Such intelligent applications however depend on a solid basis to be effective: Personalization, adaptive HMI, situation-aware intelligent systems - either of these require semantic knowledge about the user, the vehicle, the current driving situation. Advanced functions coexist with sensors, other functions, and even other vehicles. In such an environment, collaboration can be highly beneficial. Obtaining a common understanding of knowledge and providing a platform to exchange it is essential in order to reach the next level of intelligent in-car systems. This work describes the Automotive Ontology, which is located at the core of such an open platform. We give an overview of design areas relevant to automotive applications, as well as meta aspects that facilitate inference and reasoning. Copyright © 2011 ACM.
Saracco R.,EIT ICT Labs
Elektrotehniski Vestnik/Electrotechnical Review | Year: 2012
Everywhere we see municipalities setting up projects for Smart Cities. It has become a sort of a "mantra" word. But when we look at their plans we get different perspectives on what they call a "smart city". Sometimes they refer to smoother traffic, rational use of energy, sometimes to garbage recycling, sometimes to a healthier environment,⋯ These are all "improvements" and obviously desirable ones. However, what is it that characterizes a city to the point of being called Smart? In this paper I claim that it is awareness of the infrastructure and the capability to increase awareness of people living there. In an ideal world we already have all the technologies we need to create awareness of designing our cities from scratch. This is what is being done in places like Songdu and Masdar. But in "our world" we already have cities and the challenge is to evolve them in an economically sustainable way in synch with their inhabitants expectations, needs and desires. We can leverage technology evolution for this as well. And this is the focus of my talk. How can we make use of technologies like embedded electronics, screens, data harvesting and analyses (big data) and infrastructures like LTE with its native IP to evolve our cities into smarter places where people love to live. In doing that I'll make reference to some particular examples, like the projects in Italy on the Smart Cities Cluster and in projects in the EIT ICT LABS framework.
Wang L.,Wuhan University |
Hu S.,Michigan Technological University |
Betis G.,EIT ICT Labs |
Ranjan R.,Newcastle University
IEEE Transactions on Computers | Year: 2016
The papers in this special section focus on next generation urbanization that incorporates smart city development. The development of smart cities is viewed as the key to the next generation urbanization process for improving the efficiency, reliability, and security of a traditional city. The concept of smart city includes various aspects such as environmental sustainability, social sustainability, regional competitiveness,natural resources management, cybersecurity, and quality of life improvement. With the massive deployment of networked smart devices/sensors, an unprecedentedly large amount of sensory data can be collected and processed by advanced computing paradigms, which are the enabling techniques for smart city. For example, given historical environmental, population, and economic information, salient modeling and analytics are needed to simulate the impact of potential city planning strategies, which will be critical for intelligent decision-making. © 2016 IEEE.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-12-2015 | Award Amount: 4.38M | Year: 2016
SoftFIRE\ partners are aiming at Research and Innovation actions pursuing the integration of existing experimental facilities, testbeds and laboratories into FIRE\. The project focuses on new technologies like SDN and NFV in order to create a reliable, secure, interoperable and programmable experimental network infrastructure within the FIRE\ initiative. The Consortium will federate existing experimental testbeds in order to create an infrastructure that Third Parties can use to develop new services and applications. The federation is a step towards the creation of a new network experimental infrastructure that could be used as an initial 5G oriented platform. The SoftFIRE\ testbed will offer the possibility to assess and improve programmable solutions. In this environment there are three key elements to consider: programmability, interoperability and security. These properties have to be assessed in terms of efficiency, functional responsiveness and in general terms E2E QoS. The main objective of this project is to demonstrate and assess the level of maturity of adopted solutions and to show how they can support the full potential of these properties in a real world infrastructure by creating, nurturing and supporting an ecosystem of Third parties able to make use of the SoftFIRE\ testbed and to functionally extend it. The project aims at creating a broad ecosystem of companies engaged with the evolution of the SoftFIRE\ testbed. In order to achieve this goal, the project will spend a considerable part of its effort and budget for involving Third parties in the usage and consolidation of the platform. The mechanisms envisaged for this are: Open Calls and specific events (like Hackathon, Plug-tests and Challenges). The federated infrastructure will be used in order to a) develop new services and applications from Third parties, and b) develop new platform functionalities.