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GLACIATION

Green responsibLe privACy preservIng dAta operaTIONs

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THE PROJECT IN A NUTSHELL

ABOUT

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GLACIATION uses emerging digital technologies to provide services for green and privacy preserving data operations across the edge-to-cloud architecture.

Read about the project

WHY IS IT IMPORTANT

GLACIATION solution develops a beyond the state-of-the-art solution that combines a Distributed Knowledge Graph and Artificial Intelligence based data operations across the edge-to-cloud architecture.

GLACIATION advances the possibilities for managing data in an edge-to-cloud architecture by enabling interoperability on a wider scale. This allows to conduct data operations that span across the whole organisation that preserve privacy and optimise energy consumption. Organisations that choose this solution can ensure to their stakeholders that their data movements are optimised to preserve privacy and are environmentally sustainable.

GLACIATION IN

NUMBERS

3 calendar month Years
16 account balance Organizations
8+Mln euro In funding
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OUTCOMES OF THE PROJECTS

OUR GOALS

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goal

Interoperability backbone

Creation of a sustainable and scalable metadata fabric that binds datasets with energy and compute capacity to best serve analytics needs.
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Edge-to-Cloud Distributed Knowledge Graph

Development of a flexible, open, vendor-neutral architecture that can support distribution of knowledge graphs with energy- aware edge-core- cloud components.
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Privacy preserving data operations

Development of privacy preservation models and technologies for supporting the distributed processing of data while also protecting personal data.
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Environmental sustainability

Development of a data centric power consumption measurement framework and protocols.
GLACIATION

PILOTS

This pilot addresses the need for resource-efficiency and high privacy standards of a nation-wide platform for human resources management in a decentralised public administration.
Leading Beneficiary
Ministero dell'Economia e delle Finanze, Sogei - Società Generale d'Informatica S.p.A.
This pilot addresses the need for resource-efficiency advanced data analytics of tugbots and cobots in a highly digitalised smart manufacture.
Leading Beneficiary
Dell Technologies
This pilot addresses the need for the highest privacy standards while enabling data sharing and analysis in a distributed architecture spanning across organisational boundaries.
Leading Beneficiary
Sap Se
This pilot addresses the need for optimized energy consumption, enhanced performance, and data privacy/protection while integrating smart IoT devices into the grid to bridge the gap between operational technology (OT) and information technology (IT).
Leading Beneficiary
INDEPENDENT POWER TRANSMISSION OPERATOR S.A. (IPTO)