Project description
New software to overcome IoT and big data fragmentation concerns
The EU-funded ELEGANT project aims to develop a novel software solution that addresses key challenges facing IoT and Big Data: interoperability, reliability, safety and security. Some of the key innovations of the proposed framework are lightweight virtualisation, automatic code extraction compatible with IoT and Big Data frameworks, intelligent orchestration, dynamic code motion and advanced code verification and cybersecurity mechanisms. These should enable the seamless operation of end-to-end IoT/Big Data systems. To achieve its goal, the project will gather a consortium of experts on low-level system software, IoT, Big Data, AI-assisted scheduling and DevOps.
Objective
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.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencessoftwaresoftware applicationssystem software
- natural sciencesbiological sciencesecologyecosystems
- natural sciencescomputer and information sciencescomputer security
Keywords
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
118 54 ATHENS
Greece
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.