
UNIDATA
UNIDATA
3 Projects, page 1 of 1
- UL,UWC,OPLAN Foundation,UAB,FU,UPC,University of Trento,ATHENS WIRELESS METROPOLITAN NETWORK,Itinerarium,FUNKFEUER,PANGEA,University of Hannover,FTW,ROUTEK SL,Sarantaporo.gr,UNIDATA,THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE,INESC TEC,FHG,GUIFI.NET,CNIT,New America,TU Berlin,IMINDSFunder: European Commission Project Code: 288535
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2016 - 2018Partners:AIT, Intracom Telecom (Greece), NA.VI.GO. SCARL, Ubiwhere, IBCH PAS +11 partnersAIT,Intracom Telecom (Greece),NA.VI.GO. SCARL,Ubiwhere,IBCH PAS,FHG,CNIT,University of Zagreb, Faculty of Electrical Engineering and Computing,University of Vienna,UNIZG,UNIDATA,Sensing & Control Systems (Spain),UZH,A1 HRVATSKA LLC FOR PUBLIC TELECOMMUNICATION SERVICES,Nextworks (Italy),ATOS SPAIN SAFunder: European Commission Project Code: 688156Overall Budget: 7,104,830 EURFunder Contribution: 7,104,830 EURConnected smart objects have invaded our everyday life across multiple domains, e.g. home withautomation solutions, assisted living with sensors and wearables to monitor personal activities, smart transportation and environmental monitoring. IoT is evolving around a plethora of vertically isolated platforms, each specifically suited to given scenarios and often adopting non-standard, sometimes fully proprietary, protocols to control the variety of sensors, actuators and communication elements. symbIoTe comes to evolve this fragmented environment and provides an abstraction layer for a unified control view on various IoT platforms and sensing/actuating resources. symbIoTe designs and develops an IoT orchestration middleware capable of unified and secure access to physical and virtualized IoT resources; hierarchical and orchestrated discovery and control across multiple IoT platforms; federation of IoT controllers and resources for cooperative sensing/actuation tasks; seamless roaming of smart objects across smart spaces. symbIoTe builds its orchestration middleware on top of existing standards for protocols and interfaces, plus a number IoT platforms both proprietary (i.e. developed by its industrial partners) and from open source (e.g. OpenIoT). This unique set of backgrounds and foreground can result in a significant step forward in horizontal integration and federation of IoT domains. Five use cases with real large scale deployments have been selected to validate our vision in representative smart spaces: home/residence, educational campus, stadium, mobility and yachting. Engagement with real users is key in our validation process. With its research, symbIoTe can enable innovative business models for a large set of stakeholders of the IoT value chain, and particularly SMEs and new entrants in the IoT market. The consortium includes direct beneficiaries of these impacts, including small and large industry with IoT business and renowned research performers.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2023Partners:University of Manchester, SPARK WORKS LIMITED, ICCS, TU Berlin, EXUS SOFTWARESINGLE MEMBER LIMITED LIABILITY COMPANY +7 partnersUniversity of Manchester,SPARK WORKS LIMITED,ICCS,TU Berlin,EXUS SOFTWARESINGLE MEMBER LIMITED LIABILITY COMPANY,NIMBLE INNOVATION GMBH,UBITECH LIMITED,UNIDATA,SPARKS,CNIT,ITTI,UNISYSTEMS LUXEMBOURG SARLFunder: European Commission Project Code: 957286Overall Budget: 4,983,250 EURFunder Contribution: 4,983,250 EURELEGANT 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.
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