Julie Arteza
01 October 2022
30 September 2025
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
The EU-funded GLACIATION project aims to develop a novel distributed knowledge graph that stretches across the edge-core-cloud architecture. Knowledge graphs are a flexible means to represent interlinked information about almost anything. GLACIATION will optimise the location where analytics are performed to significantly reduce power consumption. Its metadata framework will deliver tools that ensure privacy and trust in data operations.
The project consortium consists of 15 organisations leaders in computer engineering, smart manufacturing, public policy, technological development, innovation management, business information system security and public administrations.
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