NEMO: Building the Next Generation Meta Operating System
Creators
- Chochliouros, Ioannis1
- Pages-Montanera, Enric2
- Alcázar-Fernández, Aitor2
- Zahariadis, Theodore3
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Velivassaki, Terpsichori-Helen3
- Skianis, Charalabos3
- Rossini, Rosaria4
- Belesioti, Maria1
- Drosos, Nikolaos5
- Bakiris, Emmanouil5
- Kumar Pedholla, Prashanth6
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Karkazis, Panagiotis7
- Kumar Samal, Astik8
- Contreras Murillo, Luis Miguel9
- del Río, Alberto10
- Serrano, Javier10
- Skias, Dimitrios11
- Segou, Olga11
- Waechter, Sonja12
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1.
Hellenic Telecommunications Organization (Greece)
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2.
Atos (Spain)
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3.
Synelixis (Greece)
- 4. Eclipse Foundation Europe
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5.
Space Hellas (Greece)
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6.
ASM Terni (Italy)
- 7. University of West Attica
- 8. Maggioli
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9.
Telefonica Research and Development
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10.
Universidad Politécnica de Madrid
- 11. Netcompany SA
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12.
Continental (Germany)
Description
Artificial Intelligence of Things (AIoT) is one of the next big concepts to support societal changes and economic growth, being one of the fastest growing ICT segments. A specific challenge is to leverage existing technology strengths to develop solutions that sustain the European industry and values. The ongoing ΝΕΜΟ (“Next Generation Meta-Operating System”) EU-funded project intends to establish itself as the “game changer” 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.
NEMO will bring intelligence closer to the data and make AI-as-a-Service an integral part of network self-organisation and micro-services execution orchestration. Its widespread penetration and massive acceptance will be achieved via new technology, pre-commercial exploitation components and liaison with open-source communities.
By defining a modular and adaptable mOS (meta-OS) architecture together with building blocks and plugins the project will “address” current and future technological and business needs.
Files
ESAAM_2023_paper_19.pdf
Files
(402.0 kB)
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