NEPHELE’s vision is to enable the efficient, reliable and secure end-to-end orchestration of distributed applications over programmable infrastructure that is spanning across the compute continuum from Cloud-to-Edge-to-IoT, removing existing openness and interoperability barriers.
The NEPHELE project aims to introduce two core innovations, namely:
The objective of HiPEAC is to stimulate and reinforce the development of the dynamic European computing ecosystem that supports the digital transformation of Europe. It does so by guiding the future research and innovation of key digital, enabling, and emerging technologies, sectors, and value chains. The longer term goal is to strengthen European leadership in the global data economy and to accelerate and steer the digital and green transitions through human-centred technologies and innovations.
The EU-funded HPLT project applies high-performance computing to scale and advance language technologies. Taking advantage of recent advances in machine learning and astonishing storage capacities, it will create and process huge language datasets and produce language and translation models in a large number of languages.
GREEN.DAT.AI aims to channel the potential of AI towards the goals of the European Green Deal, by developing novel Energy-Efficient Large-Scale Data Analytics Services, ready-to-use in industrial AI-based systems, while reducing the environmental impact of data management processes.
The internet rules the world! Digital technologies are in every aspect of our lives, and data is more valuable than ever. In this context, the EU-funded TANGO project will explore cross-sector data sharing. Taking a citizen-centric, secure and trustworthy approach, it will create a new platform that provides transparent, secure, fair and accountable, as well as environmentally sustainable, data management. To strengthen the privacy for citizens and private/public organisations, TANGO will bring together 37 partners from 14 countries.
The project aerOS aims at transparently utilising the resources on the edge-to-cloud computing continuum for enabling applications in an effective manner, incorporating multiple services deployed on such a path. Therefore, aerOS will establish the missing piece: a common meta operating system that follows a collaborative IoT-edge–cloud architecture supporting flexible deployments (e.g.
NEMO establishes itself as the gamechanger of the AIoT-edge-cloud continuum by introducing an open source, modular and cybersecure meta-operating system, leveraging on existing technologies and introducing novel concepts, methods, tools, testing and engagement campaigns.
The ICOS project aims at covering the set of challenges coming up when addressing this continuum paradigm, proposing an approach embedding a well-defined set of functionalities, ending up in the definition of an IoT2cloud Operating System (ICOS).
The IT landscape has evolved into a world of hyperconnectivity, where devices and information systems communicate and exchange data on numerous applications. FLUIDOS will leverage the enormous, unused processing capacity at the edge, scattered across heterogeneous edge devices that struggle to integrate with each other and to form a seamless computing continuum coherently.
Big data analytics collects, examines and analyses large amounts of data. To extract insights from this data, it must flow seamlessly between edges and clouds across a broad range of work locations and environments. This process consumes a lot of energy. As a result, national grids generate considerable carbon emissions. T