Summary
ELEGANT aims to solve the ever-increasing problem of software fragmentation in the IoT/Big Data interoperability domain.
Software fragmentation prohibits the unification of these two ecosystems severely limiting the ability to regard them as a single system and tune the whole infrastructure towards defining its
a) Performance, b) Energy Efficiency, c) Security, d) Reliability, and d) Dependability (PESRD) requirements.
ELEGANT proposes a novel software programming paradigm, along with an associated set of methodologies and toolchains, to program IoT and Big Data frameworks using a unified programming framework.
Its key proposed innovations in the areas of: a) Light-weight application virtualization, b) Automatic code extraction compatible with both IoT and Big Data frameworks, c) AI-assisted Intelligent Orchestration, d) dynamic code motion, and e) advanced code verification and cybersecurity mechanisms, will enable the seamless operation of end-to-end IoT/Big Data complex systems.
This way, users employing the ELEGANT software stack and methodologies will be able to seamlessly define the pareto-optimal point in the PESRD optimization space while the entire system will be able to dynamically adjust itself during execution.
To achieve its ambitious goals, ELEGANT assembles a consortium of experts across all domains ranging from low-level system software, IoT, Big Data, AI-assisted scheduling, and DevOps.
Finally, the proposed solutions will be evaluated against pre-defined KPIs across a wide range of operational use cases from four distinct domains: health, automotive, smart metering, and video surveillance.
Software fragmentation prohibits the unification of these two ecosystems severely limiting the ability to regard them as a single system and tune the whole infrastructure towards defining its
a) Performance, b) Energy Efficiency, c) Security, d) Reliability, and d) Dependability (PESRD) requirements.
ELEGANT proposes a novel software programming paradigm, along with an associated set of methodologies and toolchains, to program IoT and Big Data frameworks using a unified programming framework.
Its key proposed innovations in the areas of: a) Light-weight application virtualization, b) Automatic code extraction compatible with both IoT and Big Data frameworks, c) AI-assisted Intelligent Orchestration, d) dynamic code motion, and e) advanced code verification and cybersecurity mechanisms, will enable the seamless operation of end-to-end IoT/Big Data complex systems.
This way, users employing the ELEGANT software stack and methodologies will be able to seamlessly define the pareto-optimal point in the PESRD optimization space while the entire system will be able to dynamically adjust itself during execution.
To achieve its ambitious goals, ELEGANT assembles a consortium of experts across all domains ranging from low-level system software, IoT, Big Data, AI-assisted scheduling, and DevOps.
Finally, the proposed solutions will be evaluated against pre-defined KPIs across a wide range of operational use cases from four distinct domains: health, automotive, smart metering, and video surveillance.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/957286 |
| Start date: | 01-01-2021 |
| End date: | 31-12-2023 |
| Total budget - Public funding: | 4 983 250,00 Euro - 4 983 250,00 Euro |
Cordis data
Original description
ELEGANT aims to solve the ever-increasing problem of software fragmentation in the IoT/Big Data interoperability domain.Software fragmentation prohibits the unification of these two ecosystems severely limiting the ability to regard them as a single system and tune the whole infrastructure towards defining its
a) Performance, b) Energy Efficiency, c) Security, d) Reliability, and d) Dependability (PESRD) requirements.
ELEGANT proposes a novel software programming paradigm, along with an associated set of methodologies and toolchains, to program IoT and Big Data frameworks using a unified programming framework.
Its key proposed innovations in the areas of: a) Light-weight application virtualization, b) Automatic code extraction compatible with both IoT and Big Data frameworks, c) AI-assisted Intelligent Orchestration, d) dynamic code motion, and e) advanced code verification and cybersecurity mechanisms, will enable the seamless operation of end-to-end IoT/Big Data complex systems.
This way, users employing the ELEGANT software stack and methodologies will be able to seamlessly define the pareto-optimal point in the PESRD optimization space while the entire system will be able to dynamically adjust itself during execution.
To achieve its ambitious goals, ELEGANT assembles a consortium of experts across all domains ranging from low-level system software, IoT, Big Data, AI-assisted scheduling, and DevOps.
Finally, the proposed solutions will be evaluated against pre-defined KPIs across a wide range of operational use cases from four distinct domains: health, automotive, smart metering, and video surveillance.
Status
SIGNEDCall topic
ICT-50-2020Update Date
27-10-2022
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Organisations
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| EXUS SOFTWARE MONOPROSOPI ETAIRIA PERIORISMENIS EVTHINIS (Coördinator)
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| CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI (CNIT)
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| INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
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| ITTI SP ZOO
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| KTM INNOVATION GMBH
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| SPARK WORKS ITC
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| SPARK WORKS LIMITED
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| TECHNISCHE UNIVERSITAT BERLIN
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| THE UNIVERSITY OF MANCHESTER
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| UBITECH LIMITED
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| UNI SYSTEMS SYSTIMATA PLIROFORIKIS MONOPROSOPI ANONYMI EMPORIKI ETAIRIA
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| UNIDATA SPA
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| UNISYSTEMS LUXEMBOURG SARL