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Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-07-2014 | Award Amount: 4.46M | Year: 2015

The vision of PaaSword is to maximize and fortify the trust of individual, professional and corporate customers to Cloud -enabled services and applications, to safeguard both corporate and personal sensitive data stored on Cloud infrastructures and Cloud-based storage services, and to accelerate the adoption of Cloud computing technologies and paradigm shift from the European industry. Thus, PaaSword will introduce a holistic data privacy and security by design framework enhanced by sophisticated context-aware policy access models and robust policy access, decision, enforcement and governance mechanisms, which will enable the implementation of secure and transparent Cloud-based applications and services that will maintain a fully distributed and totally encrypted data persistence layer, and, thus, will foster customers data protection, integrity and confidentiality, even in the case wherein there is no control over the underlying third-party Cloud resources utilized. In particular, PaaSword intends not only to adopt the CSA Cloud security principles, but also to extend them by capitalizing on recent innovations on (a) distributed encryption and virtual database middleware technologies that introduce a scalable secure Cloud database abstraction layer combined with sophisticated distribution and encryption methods into the processing and querying of data stored in the Cloud; (b) context-aware access control that incorporate the dynamically changing contextual information into novel group policies implementing configurable context-based access control policies and context-dependent access rights to the stored data at various different levels; and (c) policy governance, modelling and annotation techniques that allows application developers to specify an appropriate level of protection for the applications data, while the evaluation of whether an incoming request should be granted access to the target data takes dynamically place during application runtime.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-06-2016 | Award Amount: 4.24M | Year: 2017

SMEs and public sector organizations increasingly investigate the possibilities to use cloud computing services in their everyday business conduct. Accessing services and resources in the cloud on-demand and in a flexible and elastic way could result in significant cost savings due to more efficient and convenient resource utilization that also replaces large investment costs with long term operational costs. On the other hand, the take up of cloud computing by SMEs and the public sector is still relatively low due to limited application-level flexibility and also security concerns. The Cloud Orchestration at the Level of Application (COLA) project aims to increase the adoption of cloud computing services by the above mentioned two strategic target communities. Typical industry and public sector applications require resource scalability and efficient resource utilization in order to serve a variable number of customers with dynamic resource demands, and to suitably optimize resource consumption and costs. However, the dynamic and intelligent utilization of cloud infrastructure resources from the perspective of cloud applications is not trivial. Although there have been several efforts to support the intelligent and coordinated deployment, and to a smaller extent also the run-time orchestration of cloud applications, no comprehensive solution has emerged until now that could be applied in large scale near operational level industry trials. The overall objective of the COLA project is that by building on and extending current research results, it will define and provide a reference implementation of a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications. COLA will demonstrate the applicability and impact of the solution via large scale near operational level SME and public sector pilots and demonstrators, and will also define a clear pathway how the innovation can be delivered to the market.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SEC-2013.2.2-3 | Award Amount: 4.54M | Year: 2014

SEGRIDs main objective is to enhance the protection of smart grids against cyber-attacks. We do this by applying a risk management analysis approach to a number of smart grid use cases (the SEGRID use cases), which will define security requirements and determine gaps in current security technologies, standards and regulations. The identified gaps and the analysis itself will give input to the enhancement of risk assessment methodologies and the development of novel security measures for smart grids. We are convinced that SEGRID will deliver a major contribution to the protection of smart grids of 2020 against cyber-attacks by: Identifying threats and potential future cyber-attack pathways, for the SEGRID use cases; Determining the gap between currently available security standards, methods and measures for smart grids in order to derive which additional security methods and measures are required for the SEGRID use cases; Developing the necessary new security methods and measures for privacy, communication and system security in smart grids, to mitigate the threats found in the SEGRID use cases, evaluate and test them; Building up a realistic test environment (Security Integration Test Environment, SITE) to test and verify new security methods and measures; Evaluating and improving current risk management methodologies in order to make them optimally suited to identify and address the key risk factors of smart grids of 2020; Feeding the established results from the SEGRID project into European and global standardisation bodies, industry groups and smart grid suppliers and make sure that the project results fit the needs of those communities and raise awareness among stakeholders.


Grant
Agency: European Commission | Branch: FP7 | Program: JTI-CP-ARTEMIS | Phase: SP1-JTI-ARTEMIS-2013-AIPP5 | Award Amount: 93.92M | Year: 2014

Embedded systems are the key innovation driver to improve almost all mechatronic products with cheaper and even new functionalities. Furthermore, they strongly support todays information society as inter-system communication enabler. Consequently boundaries of application domains are alleviated and ad-hoc connections and interoperability play an increasing role. At the same time, multi-core and many-core computing platforms are becoming available on the market and provide a breakthrough for system (and application) integration. A major industrial challenge arises facing (cost) efficient integration of different applications with different levels of safety and security on a single computing platform in an open context. The objective of the EMC project (Embedded multi-core systems for mixed criticality applications in dynamic and changeable real-time environments) is to foster these changes through an innovative and sustainable service-oriented architecture approach for mixed criticality applications in dynamic and changeable real-time environments. The EMC2 project focuses on the industrialization of European research outcomes and builds on the results of previous ARTEMIS, European and National projects. It provides the paradigm shift to a new and sustainable system architecture which is suitable to handle open dynamic systems. EMC is part of the European Embedded Systems industry strategy to maintain its leading edge position by providing solutions for: . Dynamic Adaptability in Open Systems . Utilization of expensive system features only as Service-on-Demand in order to reduce the overall system cost. . Handling of mixed criticality applications under real-time conditions . Scalability and utmost flexibility . Full scale deployment and management of integrated tool chains, through the entire lifecycle Approved by ARTEMIS-JU on 12/12/2013 for EoN. Minor mistakes and typos corrected by the Coordinator, finally approved by ARTEMIS-JU on 24/01/2014. Amendment 1 changes approved by ECSEL-JU on 31/03/2015.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-14-2014 | Award Amount: 7.58M | Year: 2015

5G-ENSURE will define and deliver a 5G Security Architecture, shared and agreed by the various 5G stakeholders. It will specify, develop and release an initial set of useful and usable security enablers for 5G. These enablers will be selected for their relevance in addressing some of the foremost security concerns in order to generate the trust and confidence necessary for 5G to be widely adopted and to deliver its promises through innovative business applications. The 5G-ENSURE project will also initiate a 5G Security testbed vision and initial set-up in which the security enablers will be made available. Moreover, the potential of the developed 5G Security enablers will be showcased and demonstrated in the context of carefully selected 5G security use cases (e.g. use cases related to cybersecurity and aerospace). Coupled with this, 5G-ENSURE will be closely linked to the overall 5G PPP programme through active participation in common activities and fora. Specifically, 5G-ENSURE will be the project that creates and animates a dedicated 5G PPP Security Working Group to coordinate the various security-related activities. 5G-ENSURE is led by a strong consortium bringing together the appropriate and complementary skills, including standards involvement and deep telco understanding, along with an extensive network of interested parties, and have a proven track-record in coordination. 5G-ENSURE will avail itself of the support of a group of international opinion leaders.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-16-2015 | Award Amount: 3.29M | Year: 2015

STREAMLINE will address the competitive advantage needs of European online media businesses (EOMB) by delivering fast reactive analytics suitable in solving a wide array of problems, including addressing customer retention, personalised recommendation, and more broadly targeted services. STREAMLINE will develop cross-sectorial analytics drawing on multi-source data originating from online media consumption, online games, telecommunications services, and multilingual web content. STREAMLINE partners face big and fast data challenges. They serve over 100 million users, offer services that produce billions of events, yielding over 10 TB of data daily, and possess over a PB of data at rest. Their business use-cases are representative of EOMB, which cannot be handled efficiently & effectively by state-of-the-art technologies, as a consequence of system and human latencies. System latency issues arise due to the lack of appropriate (data) stream-oriented analytics tools and more importantly the added complexity, cost, and burden associated with jointly supporting analytics for both data at rest and data in motion. Human latency results from the heterogeneity of existing tools and the low level programming languages required for development using an inordinate number of boilerplate codes that are system specific (e.g., Hadoop, SolR, Esper, Storm, and databases) and a plethora of scripts required to glue systems together. Our research and innovation actions, include addressing the challenges brought on by system and human latencies. In this regard, STREAMLINE will: 1. Develop a high level declarative language and user-interface, and corresponding automatic optimisation, parallelisation, and system adaptation technologies that reduce the programming expertise required by data scientists, thereby enabling them to more freely focus on domain specific matters. 2. Overcome the complexity of the so-called lambda architecture by delivering simplified operations that jointly support data at rest and data in motion in a single system and is compatible with the Hadoop ecosystem. 3. Develop fast reactive machine learning technologies based on distributed parameter servers and fully distributed asynchronous and approximate algorithms for fast results at high input rates. The impact of developing a European open source tool for analysing data at rest and data in motion in a single system featuring a high level declarative language and a fast reactive machine learning library is much wider than just the recommender, ad targeting, and customer retention applications that the industrial partners in STREAMLINE will use to demonstrate the business value of our work for the data economy. Our open source tools will help Europe, in general, since they lower the big data analytics skills barrier, broaden the reach of data analytics tools, and are applicable to diverse market sectors, including healthcare, manufacturing, and transportation. Thereby, enabling a broad number of European SMEs in other markets to explore and integrate these technologies into their businesses. At the same time, STREAMLINE will provide a solid foundation for big data leadership in Europe, by providing an open-source platform ready to be used by millions of stakeholders in companies, households, and government. The STREAMLINE consortium comprises world-renowned scientists and innovators in the areas of database systems (DFKI), distributed systems (SICS), and machine learning (SZTAKI) who have won many international awards, hold 18 patents collectively, and have founded and advised nine startups. Complementing the research excellence are four leading European enterprises in the data economy, in the areas of global telecommunication services (e.g., Internet, IPTV, mobile, and landline networks) (PT), games and entertainment (Rovio), media content streaming (NMusic), and web-scale data extraction and business analytics (IMR), with P etab


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.1.1 | Award Amount: 9.43M | Year: 2013

Telecom providers struggle with low service flexibility, increasing complexity and related costs. Although cloud computing and networking have been two very active fields of research, there is currently little integration between the vast networking assets and data centres of telecom providers. UNIFY addresses this by considering the entire network, from home networks up to data centre, as a unified production environment. The unified approach will open up the potential of virtualization, programmability / automation to span across the whole infrastructure of the provider and guarantee an unprecedented level of agility for network operations and for deploying new, secure and quality of experience aware services, seamlessly instantiatable across the entire infrastructure. This will lead to a novel service-oriented carrier-grade platform for the Future Internet and brings virtualized services in the most efficient, secure and quality-aware way to the end-users.UNIFY focuses on enablers of such unified production environment and will develop an automated, dynamic service creation platform, leveraging a fine-granular service chaining architecture. A service abstraction model and a proper service creation language will enable the dynamic and automatic placement of networking, computing and storage components across the infrastructure. A global orchestrator, which novel optimization algorithms, ensures the optimal placement of the elementary service components across the entire infrastructure. New management technologies, based on experience from data centre and tightly integrated into the service orchestration architecture, will be developed and cope with the dynamicity of new services. The applicability of a universal network node based on commodity hardware will be evaluated in order to support both network functions and traditional data centre workloads, while the possible hardware acceleration that might be needed to support future workloads will be investigated.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: LCE-07-2014 | Award Amount: 14.03M | Year: 2015

NOBEL GRID will develop, deploy and evaluate advanced tools and ICT services for energy DSOs cooperatives and medium-size retailers, enabling active consumers involvement i.e. new demand response schemas and flexibility of the market i.e. new business models for aggregators and ESCOs. Through the dual-use of telecommunication networks, and validating the integration of renewable generation presence and demand response systems, NOBEL GRID will offer advanced services to all actors in the retail markets of the electricity system in order to ensure that all consumers will benefit from cheaper prices, more secure and stable grids and low carbon electricity supply. The project results will be demonstrated and validated in real world environments with active involvement of all the actors, and based on the new business models defined during the project.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-14-2014 | Award Amount: 6.02M | Year: 2015

The exponential growth of mobile traffic, drastically increasing of network complexity, and the strong need for inter-network coordination of wireless network resources call for breakthroughs in control, coordination and flexible spectrum management in 5G heterogeneous radio access networks. The COHERENT project aims to address these problems by researching, developing and validating a novel control framework for future mobile networks. The key innovation of COHERENT is to develop a unified programmable control framework to coordinate the underlying heterogeneous mobile networks as a whole. The COHERENT control framework has two unique features to deal with the insufficiency of current control solutions for inter-network coordination. First, theories and methods to abstract the low layer network states and behaviors of different underlying mobile networks are developed, which provides a simplified but sufficient abstracted network view for network-wide control and resource coordination. Network abstraction will significantly reduce the signaling overhead, making scalable network-wide control solutions feasible, and enable more flexible spectrum management, which are key for the success of 5G networks. Second, based on the abstracted network view, common interfaces and software-development kits will be developed to enable programmability in controlling and coordinating heterogeneous mobile networks. The programmable control will provide operators a flexible and cost efficient way to implement new control functions and thus to support new services. The innovative impact of the COHERENT project is in enabling a unified control and coordination framework for heterogeneous mobile networks by combining innovative approaches on abstraction of low layers in underlying mobile networks, software defined networking, and flexible spectrum management. COHERENT will build a true proof-of-concept prototype to demonstrate the applicability and benefits of its approach.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-IRSES | Phase: FP7-PEOPLE-2013-IRSES | Award Amount: 480.90K | Year: 2014

Mobile Cloud Computing emerges as a new computing paradigm where mobile devices exploit the available cloud computing platform for performing specific tasks and/or accessing data on demand rather than on the individual devices themselves. A key element missing in current mobile cloud computing design is the need of sufficient consideration on mobile network bandwidth availability and energy consumption for both cloud computing devices and mobile devices. MobileCloud project aims to bridge this gap, addressing how mobile cloud computing services can be delivered in such environments in a highly efficient and energy-efficient manner. The proposed joint exchange project aims to provide a stimulating and structured platform for the exchange of researchers and for the joint development of innovative ideas in the emerging areas within mobile cloud computing and beyond. To achieve this goal, a broad combination of eight universities and research institutions in Europe and China will collaborate together and create a multidisciplinary (cloud computing, mobile computing, telecommunications, computer systems and network optimization) and international (China plus four EU member states) environment for an innovative research experience and knowledge exchange in mobile cloud computing. The specific S&T objectives of MobileCloud are to jointly investigate innovative methodologies and approaches to optimize mobile cloud computing resources and satisfy service requirements including energy efficiency and high resource utilization in the emerging cloud computing era. Our team comprising researchers with complementary expertise is very well positioned to design, develop and evaluate the mobile cloud computing technology, contributing to a new low-energy, scalable and highly efficient networking and computing paradigm. Our efforts will foster continued close cooperations and new collaboration opportunities between research communities of Europe and China.

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