In a joint project of several Fraunhofer Institutes, an interoperable learning infrastructure will be created. The main component of this infrastructure is the Common Learning Middleware (CLM), which is based on open specifications and standardized interfaces and which can be used in various Learning Management Systems. The CLM will initially be developed for the creation of a joint Fraunhofer LMS (“Fraunhofer Learning Portal”) and will subsequently also be made available to third-party providers and potential licensees. This makes the development of learning technologies much more efficient.

The COMPOSE concept addresses to design, implement, and deploy an open, scalable marketplace, in which objects can be seamlessly turned into standardized services, combined, managed, and integrated into innovative applications.

CONSERN is an ICT FP7 Small or medium-scale focused research project running under Grant Agreement INFSO-ICT-2575542 from Jun 2010 to May 2012. Coordinated by University of Athens it has 9 partners across Europe. CONSERN aims at developing and validating a novel paradigm for dedicated, purpose-driven small scale wireless networks and systems characterized by a service-centric evolutionary approach introduced here as an energy-aware self-growing network. CONSERN has 9 partners across Europe.

Open architecture for cooperative traffic applications

CoSIMS (Community Services Based on IMS) is an R&D project, financed and conducted by Deutsche Telekom Laboratories in cooperation with Hewlett Packard Corp., T-Systems, trommsdorff + drüner GmbH and the Fraunhofer Institute FOKUS, investigating the provision of community based services by emerging 3GPP IP Multimedia Subsystem (IMS) / ETSI TISPAN NGN Release 2 based service platforms.

Within the CrESt project, a scientifically founded and simultaneously field-proven methodological framework for the development of highly automated collborative embedded systems is to be created. The main object of the project, which is funded by the German Feder Ministry of Education and Research (BMBF), is to enable networks of embedded systems to independent and intelligent collaboration.

In the context of the European Technology Initiative ARTEMIS Joint Undertaking, the project CRYSTAL aims at fostering Europe’s leading edge position in embedded systems engineering, particularly regarding quality and cost effectiveness of safety-critical embedded systems and architecture platforms.

The D-MINT consortium will develop with 27 partners a new approach to model-based testing which combines various system aspects and system models during test generation. Every partner provides branch-specific requirements, concepts and ideas. The results are combined in a technology for automated software-engineering.

The European Union currently offers two Open Data portals: the EU Open Data Portal and the European Data Portal. In order to create a central contact point for high-quality data within Europe, both portals are now to be transferred into the joint portal Data.Europa.EU. Fraunhofer FOKUS is developing its technological "heart".

In water management, methods, tools and data for interdisciplinary research work have lacked in many cases to date. The project "Data4Water - Excellence in Smart Data and Services for Supporting Water Management" is now intended to advance this research and make results available to other stakeholders.

The main objective of the DECIDE action is to provide a new generation of multi-cloud service-based software framework, enabling techniques and mechanisms to design, develop, and dynamically deploy multi-cloud aware applications in an ecosystem of reliable, interoperable, and legal compliant cloud services.

DeepEncode researches and develops new methods for AI-supported per-title encoding for VOD and low-latency live streaming.  The project aims at reducing the time for compression and transmission of video content and at the same time increasing the streaming quality. This will lead to significant long-term cost savings and an improvements in the quality of experience (QoE) for the end user.