Project description
Reducing energy consumption in data operations
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. 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.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
00187 Roma
Italy
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Participants (13)
P31 Ovens
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2273 AB Voorburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
30167 Hannover
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1040 Bruxelles
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20122 Milano
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24129 Bergamo
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06410 Biot
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
06410 Biot
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69190 Walldorf
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T12 YN60 Cork
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00143 Roma
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9020 Klagenfurt Am Worthersee
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00144 Roma
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Partners (1)
8092 Zuerich
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