DECENTER SIGNED
Decentralised technologies for orchestrated cloud-to-edge intelligence
Total Cost €
0EC-Contrib. €
0Partnership
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0DECENTER project word cloud
Explore the words cloud of the DECENTER project. It provides you a very rough idea of what is the project "DECENTER" about.
Project "DECENTER" data sheet
The following table provides information about the project.
| Coordinator |
FONDAZIONE BRUNO KESSLER
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Project website | https://www.decenter-project.eu |
| Total cost | 2˙197˙700 € |
| EC max contribution | 2˙197˙700 € (100%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
| Code Call | H2020-EUK-2018 |
| Funding Scheme | RIA |
| Starting year | 2018 |
| Duration (year-month-day) | from 2018-07-01 to 2021-06-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | FONDAZIONE BRUNO KESSLER | IT (TRENTO) | coordinator | 650˙500.00 |
| 2 | ATOS SPAIN SA | ES (MADRID) | participant | 453˙375.00 |
| 3 | COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES | FR (PARIS 15) | participant | 439˙200.00 |
| 4 | UNIVERZA V LJUBLJANI | SI (LJUBLJANA) | participant | 305˙250.00 |
| 5 | COMUNE DI TRENTO | IT (TRENTO) | participant | 180˙000.00 |
| 6 | ROBOTNIK AUTOMATION SLL | ES (PATERNA) | participant | 169˙375.00 |
Map
Project objective
The emerging spring of Artificial Intelligence (AI) will enable innovative applications exploiting the myriad of connected sensors and appliances embedded in every corner of modern life. Currently, AI requires high computational resources only available in high-performance data centers; therefore, realizing an architecture capable of securely processing this unprecedented amount of remotely sensed and potentially sensitive data, as well as conveying timely responses to pervasive configurable actuators is a non-trivial endeavour, requiring the cooperation of multiple parties.
To address these challenges, DECENTER aims to realise a robust Fog Computing platform, covering the whole Cloud-to-Things Continuum, that will provide AI application-aware orchestration and provisioning of resources. The project will enrich existing Cloud and IoT solutions with advanced capabilities to abstract features and process data closer to where it is produced. DECENTER will enable a collaborative environment in which multiple stakeholders (Cloud and IoT providers) can securely share and harmoniously manage resources, in dynamically created multi-cloud/edge, federated environments. Cross-border infrastructure federation will be realized via Blockchain-based Smart Contracts defining customized Service Level Agreements, used to commit the execution of verified workloads across multiple, potentially remote, administrative domains. Through such novelties, DECENTER will unlock the potential of innovative decentralised AI algorithms and models, by deploying them across multiple tiers of the infrastructure and federated clouds.
The project will follow a lean implementation methodology and validate its concept with real-world pilots executed in urban, industrial and home environments. With its approach, DECENTER will target the emergence of innovative digital businesses, thus providing a competitive advantage to EU and Korean industry and fostering cross-border collaboration.
Deliverables
| Visual identity and project website | Websites, patent fillings, videos etc. | 2020-01-28 17:19:14 |
| First year update to the dissemination, communication and standardization activities | Documents, reports | 2020-01-28 17:19:14 |
| Public Project Presentation | Documents, reports | 2020-01-28 17:19:14 |
| First release of the DECENTER architecture specification and use cases | Documents, reports | 2020-01-28 17:19:14 |
| First release of the fog computing platform | Documents, reports | 2020-01-28 17:19:14 |
| First release of applications’ Artificial Intelligence methods and solutions | Documents, reports | 2020-01-28 17:19:14 |
Take a look to the deliverables list in detail: detailed list of DECENTER deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
Gec, Sandi; LavbiÄ, Dejan; Bajec, Marko; Stankovski, Vlado Smart contracts for container based video conferencing services: Architecture and implementation published pages: 219-233, ISSN: , DOI: 10.5281/zenodo.1346606 |
International Conference on the Economics of Grids, Clouds, Systems, and Services (GECON) | 2020-01-28 |
| 2019 |
Sangyeon Cho, Jaewon Moon, Seungwoo Kum Development of Door Open-Close Prediction Model Based on Indoor Air Data and LSTM Model published pages: , ISSN: , DOI: |
KSII Spring Conference | 2020-01-28 |
| 2019 |
Seungwoo Kum, Jaewon Moon, Youngkee Kim Design and Implementation of Object Detector Based on IOMT Standard published pages: , ISSN: , DOI: |
KIBME Summer Conference | 2020-01-28 |
| 2019 |
Petar Kochovski, Sandi Gec, Vlado Stankovski, Marko Bajec, Pavel D. Drobintsev Trust management in a blockchain based fog computing platform with trustless smart oracles published pages: 747-759, ISSN: 0167-739X, DOI: 10.1016/j.future.2019.07.030 |
Future Generation Computer Systems 101 | 2020-01-28 |
| 2018 |
Seungwoo Kum, Jaewon Moon, Youngkee Kim Novel Method for Neural Network on Edge Device published pages: , ISSN: , DOI: |
IEMEK Summer Conference | 2020-01-28 |
| 2019 |
Petar Kochovski, Pavel D. Drobintsev, Vlado Stankovski Formal Quality of Service assurances, ranking and verification of cloud deployment options with a probabilistic model checking method published pages: 14-25, ISSN: 0950-5849, DOI: 10.1016/j.infsof.2019.01.003 |
Information and Software Technology 109 | 2020-01-28 |
| 2018 |
Salman Taherizadeh, Vlado Stankovski, Marko Grobelnik A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers published pages: 2938, ISSN: 1424-8220, DOI: 10.3390/s18092938 |
Sensors 18/9 | 2020-01-28 |
| 2019 |
Jaewon Moon, Seungwoo Kum, Sangwon Lee A Heterogeneous IoT Data Analysis Framework with Collaboration of Edge-Cloud Computing: Focusing on Indoor PM10 and PM2.5 Status Prediction published pages: 3038, ISSN: 1424-8220, DOI: 10.3390/s19143038 |
Sensors 19/14 | 2020-01-28 |
| 2019 |
Matej Å tefaniÄ, Vlado Stankovski A review of technologies and applications for smart construction published pages: 83-87, ISSN: 0965-089X, DOI: 10.1680/jcien.17.00050 |
Proceedings of the Institution of Civil Engineers - Civil Engineering 172/2 | 2020-01-28 |
| 2019 |
Jaewon Moon, Seungwoo Kum, Sangwon Lee A Platform Providing Interactive Signage Based on Edge-Cloud Cooperation published pages: 39-49, ISSN: 2287-1136, DOI: 10.7472/jksii.2019.20.2.39 |
Journal of Internet Computing and Services (KRO) 20/2 | 2020-01-28 |
| 2019 |
Kochovski Petar; Sakellariou Rizos; Bajec Marko; Drobintsev Pavel; Stankovski Vlado An Architecture and Stochastic Method for Database Container Placement in the Edge-Fog-Cloud Continuum published pages: , ISSN: , DOI: 10.5281/zenodo.2548463 |
IEEE International Parallel & Distributed Processing Symposium (IPDPS) | 2020-01-28 |
| 2019 |
Francescomaria Faticanti; Francesco de Pellegrini; Domenico Siracusa; Daniele Santoro; Silvio Cretti Cutting Throughput with the Edge: App-Aware Placement in Fog Computing published pages: , ISSN: , DOI: 10.5281/zenodo.2862148 |
IEEE International Conference on Edge Computing and Scalable Cloud (EDGECOM) | 2020-01-28 |
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The information about "DECENTER" are provided by the European Opendata Portal: CORDIS opendata.