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| Hauptseite > Normsätze > Projekte > Datensatz #241685 > print |
| 001 | 241685 | ||
| 005 | 20230214173915.0 | ||
| 024 | 7 | _ | |a G:(EU-Grant)957286 |d 957286 |2 CORDIS |
| 024 | 7 | _ | |a G:(EU-Call)H2020-ICT-2020-1 |d H2020-ICT-2020-1 |2 CORDIS |
| 024 | 7 | _ | |a corda__h2020::957286 |2 originalID |
| 035 | _ | _ | |a G:(EU-Grant)957286 |
| 150 | _ | _ | |a Secure and Seamless Edge-to-Cloud Analytics |y 2021-01-01 - 2023-12-31 |
| 372 | _ | _ | |a H2020-ICT-2020-1 |s 2021-01-01 |t 2023-12-31 |
| 450 | _ | _ | |a ELEGANT |w d |y 2021-01-01 - 2023-12-31 |
| 510 | 1 | _ | |0 I:(DE-588b)5098525-5 |a European Union |2 CORDIS |
| 680 | _ | _ | |a 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. |
| 909 | C | O | |o oai:juser.fz-juelich.de:898125 |p authority:GRANT |p authority |
| 909 | C | O | |o oai:juser.fz-juelich.de:898125 |
| 980 | _ | _ | |a G |
| 980 | _ | _ | |a CORDIS |
| 980 | _ | _ | |a AUTHORITY |
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