News

IC2E 2021

We are pleased to announce that our paper “Com­munity-based place­ment of regis­tries to speed up applic­a­tion deploy­ment on Edge Com­put­ing” has been accep­ted at IC2E 2021. 9th IEEE Inter­na­tion­al Con­fer­ence on Cloud Engin­eer­ing (IC2E 2021) con­fer­ence will take place in San Fran­cisco or vir­tu­al, 4–8 Octo­ber 2021.   About IC2E The IEEE Inter­na­tion­al Con­fer­ence on Cloud …

EU Research Summer 2021

We are pleased to announce our new pub­lic­a­tion in the journ­al EU Research Sum­mer 2021 entitled: Arti­fi­cial Intel­li­gence at the Edge. Art­icle avail­able here: https://issuu.com/euresearcher/docs/digital_magazine_eur27

DECENTER session video @ HiPEAC CSWSpring21

We are pleased to announce that the DECENTER webin­ar Cre­ation and orches­tra­tion of cloud-nat­ive AI applic­a­tions in edge envir­on­ments at CSWSpring21 on 6th May 2021, mod­er­ated by Dr. Domen­ico Siracusa, is now pub­lished on a video. https://www.youtube.com/watch?v=KregqFmkxZ8 If you missed an event, we invite you to view the webin­ar at the link …

DECENTER keynote talk at BECS workshop

We are glad to announce that Dr. Domen­ico Siracusa, the EU coordin­at­or of the DECENTER pro­ject, will give a key­note talk at the 1st Inter­na­tion­al Work­shop on Big data driv­en Edge Cloud Ser­vices (BECS 2021). The work­shop will take place online on the 18th of May 2021. Abstract Pro­gress­ive digit­al­isa­tion, advances in …

Creation and orchestration of cloud-native AI applications in edge environments

DECENTER will organ­ize a webin­ar at HIPEAC Com­put­ing Sys­tems Weeks on 6th May 2021 at 10:00 CET and we will be glad to count on your attend­ance! HiPEAC is a European net­work of almost 2,000 world-class com­put­ing sys­tems research­ers, industry rep­res­ent­at­ives and stu­dents. DECENTER pro­ject is an European Pro­ject in col­lab­or­a­tion with …

DECENTER @ the AI-SPRINT webinar

We are happy to con­firm our par­ti­cip­a­tion to the pan­el dis­cus­sion at the “AI and edge com­put­ing: chal­lenges, needs and future trends” organ­ised by the AI-Sprint pro­ject on the 30th of March from 10:00 to 11:00 CEST. The pan­el dis­cus­sion brings togeth­er mem­bers of the AI-SPRINT Alli­ance and pro­ject experts for …

What is DECENTER?

DECENTER is a research and innov­a­tion pro­ject aim­ing to deliv­er a robust Fog Com­put­ing Plat­form, cov­er­ing the whole Cloud-to-Things con­tinuum, that will provide applic­a­tion-aware orches­tra­tion and pro­vi­sion­ing of resources, driv­en by meth­ods of Arti­fi­cial Intel­li­gence. The under­ly­ing infra­struc­ture will span across bor­ders into a fed­er­a­tion, and will util­ize Block­chain and Smart Con­tracts to reach secure pro­cessing, auto­mated oper­a­tion and timely deliv­ery of responses.

DECENTER Archi­tec­ture
Click the com­pon­ent to learn more!

Research and Innovation Action

Fog Computing Platform to orchestrate Cloud-to-Edge resources

DECENTER will design and devel­op a robust and secure Fog Com­put­ing Plat­form, based on exist­ing Open Source frame­works that provides applic­a­tion-aware orches­tra­tion of resources and zero-touch pro­vi­sion­ing of Microservices for Arti­fi­cial Intel­li­gence applic­a­tions based on their spe­cif­ic require­ments and described by means of Qual­ity of Ser­vice mod­els.

Blockchain-based framework fostering cross-border dynamic binding of resources

DECENTER relies on a frame­work that cata­lyses offer and demand for Edge resources. The innov­at­ive solu­tion is based on Block­chain to draft and seal Smart Con­tracts, mon­it­or their ful­fill­ment and grant rewards.

Smarter Internet of Things fabric

DECENTER enriches Inter­net of Things plat­forms with more intel­li­gent fea­tures able to cope with the data deluge com­ing from mul­tiple data sources includ­ing audio and video cap­able devices with built-in Arti­fi­cial Intel­li­gence algorithms for fea­ture extrac­tion, applic­a­tion-aware data fil­ter­ing redu­cing impact on the use of the net­work.

Hybrid decentralised Artificial Intelligence models exploiting DECENTER’s novel infrastructure

DECENTER evolves decent­ral­ised Arti­fi­cial Intel­li­gence mod­els that become pos­sible with a more react­ive and flex­ible resources infra­struc­ture, unlock­ing a huge poten­tial for innov­at­ive applic­a­tions. Among oth­ers, this innov­a­tion will address the needs for data loc­al­ity and time-crit­ic­al aspects of the Big Data prob­lem.

Two women crossing road

Smart City

Crossing Safety

Aim­ing to increase ped­es­tri­an cross­ing safety in a smart city, we plan to equip a num­ber of ped­es­tri­an cross­ings with devices that enable mon­it­or­ing of ped­es­tri­ans mov­ing and will­ing to cross the road. The object­ive is to spot any poten­tial danger nearby that might put their safety at risk and provide means for noti­fic­a­tion alerts.

Robotics

Logistics

Test­ing a new, cost-effect­ive, robot­ic indoor trans­port solu­tion that will be spe­cially suited for ware­houses will auto­mate the trans­port pro­cess and free work­force for tasks that entail high­er added value. It will per­mit the incor­por­a­tion of the swarm robot sys­tem from Robot­nik into the cloud/edge sys­tem ser­vices, allow­ing enhan­cing the func­tion­al­ity of the robots by the use of Edge Com­put­ing and a cent­ral­ised Cloud.

Smart Construction

Safety at Work

The goal of this scen­ario is to devel­op an applic­a­tion for smart noti­fic­a­tions at con­struc­tion sites, based on video streams and sensor data. The applic­a­tion will apply Arti­fi­cial Intel­li­gence meth­ods for real-time video-streams ana­lys­is. Sev­er­al applic­a­tion areas were iden­ti­fied includ­ing con­struc­tion mon­it­or­ing, con­struc­tion site man­age­ment, safety at work, early warn­ing against acci­dents and man­age­ment of resources and assets.

Ambient Intelligence

Safety at Home and Around

With the help of Arti­fi­cial Intel­li­gence and mon­it­or­ing, we will detect pos­sible dan­ger­ous situ­ations at home and around. The data will be col­lec­ted by Inter­net of Things devices and will vary from audio-video fea­tures to sensor read­ings, such as tem­per­at­ure or motion. The col­lec­ted data will be pro­cessed by Arti­fi­cial Intel­li­gence algorithms run­ning on the DECENTER’s Cloud-to-Edge con­tinuum and will res­ult in spe­cif­ic con­tinu­ously adapt­ing mod­els. Data pri­vacy con­cerns will be addressed by keep­ing raw data near the Edge.

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DECENTER in numbers

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Fog Com­put­ing Block­chain Based Broker­age Plat­form Inter­net of Things IoT Arti­fi­cial Intel­li­gence AI Edge Com­put­ing Cloud Com­put­ing Fog Com­put­ing Deep Learn­ing Neur­al Net­works Cross-Bor­der Data Man­age­ment Edge Com­put­ing Fog Com­put­ing Inter­net of Things Arti­fi­cial Intel­li­gence Fog Com­put­ing Markov Decision Pro­cess Big Data Video stream­ing Block­chain Block­chain Big Data Video­stream­ing Fog Com­put­ing Edge Com­put­ing

Fondazione Bruno Kessler
Atos
Com­mis­sari­at à l’Energie
Atomique et aux Ener­gies
Altern­at­ives
Comune di Trento
Robot­nik
Uni­ver­sity of Ljubljana
Korea Elec­tron­ics
Tech­no­logy Insti­tute
Gluesys
Dali­works
LG U+
Seoul Nation­al Uni­ver­sity
Kenty­ou
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