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Madrid, Spain

Telefónica, S.A. is a Spanish broadband and telecommunications provider with operations in Europe, Asia, North America and South America. Operating globally, it is one of the largest mobile network providers in the world. The company started as a public telecommunications company. Its head office is in the Distrito Telefónica in Madrid. As well as the Telefónica brand, it also trades as O2 and Movistar.Telefónica is a supporter of the Hybrid Broadcast Broadband TV initiative that is promoting and establishing an open European standard for hybrid set-top boxes for the reception of broadcast TV and broadband multimedia applications with a single user interface, and has run pilot HbbTV services in Spain. Wikipedia.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-04-2015 | Award Amount: 6.45M | Year: 2016

For all the superior features that low-power computing systems exhibit compared to conventional high-end server designs, there is a common design axiom that both technological trends are based on: the main-board and its hardware components form the baseline, monolithic building block that the rest of the hw/sw stack design builds upon. This proportionality of compute/memory/network/storage resources is fixed during design time and remains static throughout machine lifetime, with known ramifications in terms of low system resource utilization, costly upgrade cycles and degraded energy proportionality. dReDBox takes on the challenge of revolutionizing the low-power computing market by breaking once and for all server boundaries through materialization of the concept of disaggregation. Through a highly modular software-defined architecture for the next generation datacentre, dRedBox will specify/design/prototype modular blocks for SoC-based microservers, memory and accelerators, interconnected via a high-speed, low-latency opto-electronic system fabric, and that can be allocated in arbitrary sets, as driven by fit-for-purpose resource/power management software. These blocks will employ state-of-the-art low-power components and be amenable to be deployed in various integration form factors and target scenarios. dRedBox aims to deliver a full-fledged, vertically integrated datacentre-in-a-box prototype to showcase the superiority of disaggregation in terms of scalability, efficiency, reliability,performance and energy reduction. The prototype will be used as vehicle to demonstrate the value of dReDBox in 3 pilot use-cases stemming from three market segments: Security, Network Analytics and Telecom. With an industry-lead consortium comprising top academic experts too, dReDBox is in the best position to generate significant impact with its game-changing approach and contribute to Europe maintaining its leading innovation and market position in low-power advanced computing.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-12-2015 | Award Amount: 2.90M | Year: 2016

Recent revelations about large-scale pervasive surveillance of Internet traffic have led to a rapidly expanding deployment of encryption in order to protect end-user privacy. At the same time, network operators and access providers rely on increasing use of in-network functionality provided by middleboxes and network function virtualization (NFV) approaches to improve network operations and management, and to provide additional value for their customers. In addition, new applications such as interactive video make new demands on the transport layer, requiring the deployment of new protocols and extensions, the deployment of which is impaired by the proliferation of middleboxes that cause them to fail. These three trends are on a collision course. The MAMI project seeks to restore balance among end-user privacy concerns in the face of pervasive surveillance, innovation in network protocols in the face of increasing ossification, and the provision of in-network functionality in a cooperative way. We aim to do this through the development and experimental deployment of a middlebox cooperation protocol (MCP) embedded in a more flexible transport layer, to be used together with ubiquitously deployed encryption. To ensure the applicability of the protocol, we will develop it on a background of middlebox behaviour models, derived from large-scale measurements of middleboxes in the public Internet conducted on top of a FIRE\ testbed. We will then evaluate the fitness of our proposed MCP to purpose by evaluating its applicability to a set of real-world use cases for transport layer evolution, focusing on incremental deployability in the presence of both cooperative and uncooperative middleboxes by experimentation in the Internet utilising the facilities provided by FIRE\ testbeds.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: PHC-28-2015 | Award Amount: 4.36M | Year: 2016

Stroke a leading cause of death and disability, with an estimated total cost of 65 billion per year in Europe. Even though preventive measures are in place to reduce the incidence of stroke, the number of persons having a stroke in Europe is likely to increase from 1.1 million/year in 2000 to more than 1.5 million/year in 2025 because of the increasing ageing population. Secondary stroke carries with it a greater risk than first-ever stroke for death and disability. Also, as mortality from first strokes has decreased recently, the number of people at risk for a secondary stroke has increased, with an associated increase in healthcare costs. In order to reduce these stroke statistics and the associated cost, the self-management of stroke risk factors is particularly suitable and necessary for the following reasons: 1) risk factors for stroke are well-known, and 2) 90% of strokes or secondary stroke events are preventable if the risk factors are managed appropriately. The Decision SupporT and self-mAnagement system for stRoke survivoRs (STARR) project and the system developed in it are targeting the self-management of stroke risk factors. Based on existing computational predictive models of stroke risk, we will develop a modular, affordable, and easy-to-use system, which will inform stroke survivors about the relation between their daily activities (e.g., medication intake, physical and cognitive exercises, diet, social contacts) and the risk of having a secondary stroke. This will lead to better prevention and a reduction of the number of secondary stroke events, as well as to a more efficient participation of patients in medical decision-making. A multidisciplinary consortium has been built for achieving the objectives of this ambitious project, involving stroke survivors associations, healthcare actors, sensing and human-machine interfaces experts. The consortium also comprises 3 European companies which will exploit the results of the project after its end.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-12-2015 | Award Amount: 1.30M | Year: 2016

ARCFIRE will bring RINA from labs into the real-world. RINA, the Recursive InterNetwork Architecture, is an innovative back-to-basics network architecture that solves current limitations and facilitates full integration between distributed computing and networking. RINA addresses the challenges that drive the communications industry in moving from dedicated hardware to almost completely virtualised infrastructure. The next shift, 5G, on the horizon for 2020, will change the communication industry even more significantly. Now is the right time for ARCFIRE to provide experimental evidence of RINAs benefits, at large scale, in compelling and realistic business cases, thus motivating RINA adoption. ARCFIRE will experimentally demonstrate RINAs key benefits integrating current EC investment in advanced networks (IRATI, PRISTINE) and Future Internet testbeds (FIRE\) focusing on 5 goals: 1) Facilitate comparison of converged operator networks using RINA to operators current network designs; 2) Produce a robust RINA software suite ready for Europe to engage in large-scale deployments and long-living experiments; 3) Provide relevant experimental evidence of RINA benefits to network operators, their equipment vendors, application developers and end-users; 4) Build on the current EU Future Internet community and raise the number of organisations involved in RINA development and deployment; 5) Enhance the FIRE\ infrastructure with ready to use RINA software. ARCFIRE will have long-term sustainable impact on how we build infrastructure for the Networked Society. ARCFIREs deployed software suite will enable equipment vendors to shorten their innovation life cycle, network operators to run advanced networks addressing their needs in a future-proof fashion, European SMEs to find and exploit specialised markets and application developers to explore unseen opportunities. ARCFIREs consortium has the experience and resources to achieve these goals and provide this impact.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-14-2014 | Award Amount: 8.35M | Year: 2015

Mobile data traffic is forecasted to increase 11-fold between 2013 and 2018. 5G networks serving this mobile data tsunami will require fronthaul and backhaul solutions between the RAN and the packet core capable of dealing with this increased traffic load while fulfilling new stringent 5G service requirements in a cost-efficient manner. The Xhaul project aims at developing a 5G integrated backhaul and fronthaul transport network enabling a flexible and software-defined reconfiguration of all networking elements in a multi-tenant and service-oriented unified management environment. The Xhaul transport network envisioned will consist of high-capacity switches and heterogeneous transmission links (e.g., fibre or wireless optics, high-capacity copper, mmWave) interconnecting Remote Radio Heads, 5GPoAs (e.g., macro and small cells), cloud-processing units (mini data centres), and points-of-presence of the core networks of one or multiple service providers. This transport network will flexibly interconnect distributed 5G radio access and core network functions, hosted on in-network cloud nodes, through the implementation of: (i) a control infrastructure using a unified, abstract network model for control plane integration (Xhaul Control Infrastructure, XCI); (ii) a unified data plane encompassing innovative high-capacity transmission technologies and novel deterministic-latency switch architectures (Xhaul Packet Forwarding Element, XFE). Demonstration and validation of the Xhaul technology components developed will be integrated into a software-defined flexible and reconfigurable 5G Test-bed in Berlin. Mobility-related Xhaul experiments will be performed using Taiwans high-speed trains. Xhaul KPI targets evaluated will include among others a 20% network capacity increase, latencies <1 ms and 30% TCO reduction. The Xhaul proposal addresses the ICT 14-2014 call of the Horizon 2020 Work Programme 2014-15 with a special focus on the P7 objectives defined by the 5GPPP IA

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