Decentralised technologies for orchestrated cloud-to-edge intelligence

Risultati finali

Second release of applications’ Artificial Intelligence methods and solutions

EU lead participant: KENT, Korean lead participant: KETI. The deliverable will provide the second version of the applications’ AI methods and solutions. In the release, updates on the Cloud/Edge AI algorithms and on digital twin representation will be delivered. Use case-specific AI solutions will be detailed. The deliverable will include the software code.

Final release of Artificial Intelligence algorithms for distributed applications

EU lead participant: FBK Korean lead participant: SNU. The deliverable will provide the final version of AI algorithms for distributed applications that have been investigated and implemented. The deliverable will include the software code.

First release of the DECENTER architecture specification and use cases

EU lead participant: CEA, Korean lead participant: LGUP. This deliverable will publicly deliver the first version of use case descriptions, business goals, technical and user requirements, resource and SLA models and overall architecture.

First release of applications’ Artificial Intelligence methods and solutions

EU lead participant: FBK, Korean lead participant: SNU. The deliverable will provide the first version of the applications’ AI methods and solutions. In the release, a preliminary version of the hierarchical Cloud/Edge AI algorithms will be delivered, together with digital twin representation investigations and a preliminary scouting of use-case specific needs. The deliverable will include the software code.

Methods and solutions to achieve security and robustness

EU lead participant: ATOS, Korean lead participant: DW. The deliverable will provide a final and detailed analysis of the different security and robustness solutions that have been investigated, which have also been implemented in the fog computing platform.

Final report and release on cross-border application data management and use-case specific AI solutions

EU lead participant: UL, Korean lead participant: KETI. The deliverable will provide the final version of the use-case specific AI solutions and data management method for cross-border scenarios. The deliverable will include the software code.

Second release of the fog computing platform

EU lead participant: ATOS Korean lead participant: DW. The deliverable will provide the second version of the fog computing platform. In the release, the IoT platform will be integrated in the fog computing platform and a preliminary version of the modules of the fog computing platform will be released. Updates on the blockchain solutions and on security/robustness will also be reported. The deliverable will include the software code.

Final release of the DECENTER architecture specification and use cases

EU lead participant: UL, Korean lead participant: DW. This deliverable will publicly deliver the final version of use case descriptions, business goals, technical and user requirements, resource and SLA models and overall architecture. The deliverable will also include a preliminary analysis of the business models.

Public Project Presentation

EU lead participant: FBK, Korean lead participant: KETI. Public Project Presentation

First release of the fog computing platform

EU lead participant: FBK, Korean lead participant: GLSYS. The deliverable will provide the first version of the fog computing platform. In the release, the virtualization environment and the IoT platform will be delivered. The preliminary version of the blockchain solution for cross-border federation will also be reported. The deliverable will include the software code.

First year update to the dissemination, communication and standardization activities

EU lead participant: UL, Korean lead participant: SNU. The deliverable will update the initial dissemination plan and progress on activities.

First release of the AI-integrated fog computing platform, demonstration KPIs and first setup of pilots

EU lead participant: ATOS, Korean lead participant: KETI. The deliverable will provide the first version of the fog computing platform with the support to AI applications integrated. An updated version of the demonstration KPIs will also be released, as well as a first setup of pilots. The deliverable will include the software code.

Final update to the dissemination, communication and standardization activities

EU lead participant: UL, Korean lead participant: SNU. The deliverable will report on all dissemination activities and it will present results of the 2nd validation phase.

Final release of the fog computing platform

EU lead participant: FBK, Korean lead participant: GLSYS. The deliverable will provide the final version of the fog computing platform, with all the modules developed in all their functionalities and integrated. Performance evaluation results for the workload placement and resource allocation heuristic algorithms will also be reported. The deliverable will include the software code.

Final release of the AI-integrated fog computing platform and final setup of pilots for demonstrations

EU lead participant: ROB, Korean lead participant: GLSYS. The deliverable will provide the final version of the fog computing platform with the support to AI applications integrated. The final list of demonstration KPIs will be released, and the use cases demonstration, validation and evaluation will be reported. The final setup of pilots will also be released. The deliverable will include the software code.

DECENTER business models

EU lead participant: ATOS, Korean lead participant: DW. This deliverable will provide a detailed analysis of the DECENTER business models.

Initial report on cross-border application data management

EU lead participant: UL, Korean lead participant: KETI. The deliverable will report a comprehensive investigation of cross-border application data management, and will include countermeasures related to environment differences in a cross-border scenario.

Final Project Report

EU lead participant: FBK, Korean lead participant: KETI. Final Project Report

Second year update to the dissemination, communication and standardization activities

EU lead participant: KENT, Korean lead participant: KETI. The deliverable will update the progress on activities.

Resource orchestration strategies

EU lead participant: UL, Korean lead participant: GLSYS. The deliverable will report a comprehensive analysis of existing workload placement and resource allocation algorithms, and will include a preliminary design of the QoS-aware dynamic heuristic algorithms.

Visual identity and project website

EU lead participant: UL, Korean lead participant: KETI. This deliverable will set-up the communication toolkit and banding around the DECENTER project as well as an initial version of the project Website containing all public information on the project objectives, partners and workplan.

Pubblicazioni

THE USE OF A FOG COMPUTING PLATFORM FOR THE DEVELOPMENT OF APPLICATIONS FOR SMART AND SAFE CONSTRUCTION

Autori: J. Brežnik, P. Kochovski and V. Stankovski
Pubblicato in: Gradbeni vestnik, 2020, Pagina/e 194-200, ISSN 0017-2774
Editore: 2536-4332

Artificial Intelligence Service Architecture for Edge Device

Autori: Seungwoo Kum, Youngkee Kim, Domenico Siracusa, Jaewon Moon
Pubblicato in: 2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin), 2020, Pagina/e 1-3, ISBN 978-1-7281-5885-3
Editore: IEEE
DOI: 10.1109/icce-berlin50680.2020.9352184

Fog Orchestration meets Proactive Caching

Autori: Francescomaria Faticanti; Lorenzo Maggi; Francesco De Pellegrini; Daniele Santoro; Domenico Siracusa
Pubblicato in: IFIP/IEEE International Symposium on Integrated Network Management (IM), 2021, ISBN 978-1-7281-9041-9
Editore: IEEE

ALGORITHMS FOR A SMART CONSTRUCTION ENVIRONMENT

Autori: Petar Kochovski, Vlado Stankovski
Pubblicato in: ALGOCLOUD 2019, European Symposium on Algorithms (ESA), 2019
Editore: Springer

A Blockchain-based Brokerage Platform for Fog Computing Resource Federation

Autori: Marco Savi, Daniele Santoro, Katarzyna Di Meo, Daniele Pizzolli, Miguel Pincheira, Raffaele Giaffreda, Silvio Cretti, Seung-woo Kum, Domenico Siracusa
Pubblicato in: 2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), 2020, Pagina/e 147-149, ISBN 978-1-7281-5127-4
Editore: IEEE
DOI: 10.1109/icin48450.2020.9059337

A Smart and Safe Construction Application Design for Fog Computing

Autori: Petar Kochovski, Marko Bajec, Rizos Sakellariou, Vlado Stankovski
Pubblicato in: 2019 IEEE World Congress on Services (SERVICES), 2019, Pagina/e 378-379, ISBN 978-1-7281-3851-0
Editore: IEEE
DOI: 10.1109/services.2019.00112

Rationale and Practical Assessment of a Fully Distributed Blockchain-based Marketplace of Fog/Edge Computing Resources

Autori: Miguel Pincheira, Massimo Vecchio, Raffaele Giaffreda
Pubblicato in: 2020 Seventh International Conference on Software Defined Systems (SDS), 2020, Pagina/e 165-170, ISBN 978-1-7281-7219-4
Editore: IEEE
DOI: 10.1109/sds49854.2020.9143892

Optimal Blind and Adaptive Fog Orchestration under Local Processor Sharing

Autori: Francesco De Pellegrini ; Francescomaria Faticanti ; Mandar Datar ; Eitan Altman ; Domenico Siracusa
Pubblicato in: 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT), 2020, ISBN 978-3-903176-29-4
Editore: IEEE

An Application of Kubernetes Cluster Federation in Fog Computing

Autori: Francescomaria Faticanti, Daniele Santoro, Silvio Cretti, Domenico Siracusa
Pubblicato in: 2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), 2021, Pagina/e 89-91, ISBN 978-1-7281-7705-2
Editore: IEEE
DOI: 10.1109/icin51074.2021.9385548

An Architecture and Stochastic Method for Database Container Placement in the Edge-Fog-Cloud Continuum

Autori: Kochovski Petar; Sakellariou Rizos; Bajec Marko; Drobintsev Pavel; Stankovski Vlado
Pubblicato in: IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2019
Editore: IEEE
DOI: 10.5281/zenodo.2548463

Cutting Throughput with the Edge: App-Aware Placement in Fog Computing

Autori: Francescomaria Faticanti; Francesco de Pellegrini; Domenico Siracusa; Daniele Santoro; Silvio Cretti
Pubblicato in: IEEE International Conference on Edge Computing and Scalable Cloud (EDGECOM), 2019
Editore: IEEE
DOI: 10.5281/zenodo.2862148

Smart contracts for container based video conferencing services: Architecture and implementation

Autori: Gec, Sandi; Lavbič, Dejan; Bajec, Marko; Stankovski, Vlado
Pubblicato in: International Conference on the Economics of Grids, Clouds, Systems, and Services (GECON), 2019, Pagina/e 219-233
Editore: Springer
DOI: 10.5281/zenodo.1346606

Deep Clustering and Block Hashing Network for Face Image Retrieval

Autori: Young Kyun Jang, Dong-ju Jeong, Seok Hee Lee, Nam Ik Cho
Pubblicato in: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part VI, Numero 11366, 2019, Pagina/e 325-339, ISBN 978-3-030-20875-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-20876-9_21

Novel Method for Neural Network on Edge Device

Autori: Seungwoo Kum, Jaewon Moon, Youngkee Kim
Pubblicato in: IEMEK Summer Conference, 2018
Editore: Institute of Embedded Engineering of Korea

Learning Background Subtraction by Video Synthesis and Multi-scale Recurrent Networks

Autori: Sungkwon Choo, Wonkyo Seo, Dong-ju Jeong, Nam Ik Cho
Pubblicato in: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part VI, Numero 11366, 2019, Pagina/e 357-372, ISBN 978-3-030-20875-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-20876-9_23

Development of Door Open-Close Prediction Model Based on Indoor Air Data and LSTM Model

Autori: Sangyeon Cho, Jaewon Moon, Seungwoo Kum
Pubblicato in: KSII Spring Conference, 2019
Editore: Korean Society for Internet Information

Cloud-Edge Collaboration Framework for IoT data analytics

Autori: Jaewon Moon, Sangyeon Cho, Seungweoo Kum, Sangwon Lee
Pubblicato in: 2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018, Pagina/e 1414-1416, ISBN 978-1-5386-5041-7
Editore: IEEE
DOI: 10.1109/ictc.2018.8539664

Design and Implementation of Object Detector Based on IOMT Standard

Autori: Seungwoo Kum, Jaewon Moon, Youngkee Kim
Pubblicato in: KIBME Summer Conference, 2019
Editore: Korean Institute of Broadcasting and Media Engineers

Generalized Product Quantization Network for Semi-Supervised Image Retrieval

Autori: Young Kyun Jang, Nam Ik Cho
Pubblicato in: Computer Vision and Pattern Recognition (CVPR), 2020, 2020
Editore: IEEE

AI Management Platform with Embedded Edge Cluster

Autori: Seungwoo Kum, Miseon Yu, Youngkee Kim, Jaewon Moon, Silvio Cretti
Pubblicato in: 2021 IEEE International Conference on Consumer Electronics (ICCE), 2021, Pagina/e 1-3, ISBN 978-1-7281-9766-1
Editore: IEEE
DOI: 10.1109/icce50685.2021.9427731

Community-based placement of registries to speed up application deployment on Edge Computing

Autori: Luis Augusto Dias Knob, Francescomaria Faticanti, Tiago Ferreto, Domenico Siracusa
Pubblicato in: IEEE IC2E 2021, 2021
Editore: IEEE

Budget and Performance-efficient ApplicationDeployment along Edge-Fog-Cloud Ecosystem

Autori: Polona Štefanič; Omer F. Rana; Vlado Stankovski
Pubblicato in: 11th International Workshop on Science Gateways (IWSG 2019), Numero 1, 2019
Editore: None
DOI: 10.5281/zenodo.3948815

Deployment of Application Microservices in Multi-Domain Federated Fog Environments

Autori: Francescomaria Faticanti, Marco Savi, Francesco De Pellegrini, Petar Kochovski, Vlado Stankovski, Domenico Siracusa
Pubblicato in: 2020 International Conference on Omni-layer Intelligent Systems (COINS), 2020, Pagina/e 1-6, ISBN 978-1-7281-6371-0
Editore: IEEE
DOI: 10.1109/coins49042.2020.9191379

TOWARDS SMART AND SAFE CONSTRUCTION WITH DECENTER’S FOG COMPUTING PLATFORM

Autori: Janez Brežnik, Petar Kochovski, Jaewon Moon and Vlado Stankovski
Pubblicato in: 12th International Workshop on Science Gateways, 2020
Editore: None

Throughput-Aware Partitioning and Placement of Applications in Fog Computing

Autori: Francescomaria Faticanti, Francesco De Pellegrini, Domenico Siracusa, Daniele Santoro, Silvio Cretti
Pubblicato in: IEEE Transactions on Network and Service Management, Numero 17/4, 2020, Pagina/e 2436-2450, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2020.3023011

Multi-Criteria Decision-Making Approach for Container-based Cloud Applications: The SWITCH and ENTICE Workbenches

Autori: P. Štefanič and V. Stankovski
Pubblicato in: Tehnicki vjesnik - Technical Gazette, Numero 27/3, 2020, ISSN 1330-3651
Editore: Sveuciliste Josipa Jurja Strossmayera u Osijeki
DOI: 10.17559/tv-20190105200327

Quality of Service‐aware matchmaking for adaptive microservice‐based applications

Autori: Polona Štefanič, Petar Kochovski, Omer F. Rana, Vlado Stankovski
Pubblicato in: Concurrency and Computation: Practice and Experience, 2020, ISSN 1532-0626
Editore: John Wiley & Sons Inc.
DOI: 10.1002/cpe.6120

Smart Contracts for Service-Level Agreements in Edge-to-Cloud Computing

Autori: Petar Kochovski, Vlado Stankovski, Sandi Gec, Francescomaria Faticanti, Marco Savi, Domenico Siracusa, Seungwoo Kum
Pubblicato in: Journal of Grid Computing, Numero 18/4, 2020, Pagina/e 673-690, ISSN 1570-7873
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10723-020-09534-y

Building applications for smart and safe construction with the DECENTER Fog Computing and Brokerage Platform

Autori: Petar Kochovski, Vlado Stankovski
Pubblicato in: Automation in Construction, Numero 124, 2021, Pagina/e 103562, ISSN 0926-5805
Editore: Elsevier BV
DOI: 10.1016/j.autcon.2021.103562

A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers

Autori: Salman Taherizadeh, Vlado Stankovski, Marko Grobelnik
Pubblicato in: Sensors, Numero 18/9, 2018, Pagina/e 2938, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s18092938

Formal Quality of Service assurances, ranking and verification of cloud deployment options with a probabilistic model checking method

Autori: Petar Kochovski, Pavel D. Drobintsev, Vlado Stankovski
Pubblicato in: Information and Software Technology, Numero 109, 2019, Pagina/e 14-25, ISSN 0950-5849
Editore: Elsevier BV
DOI: 10.1016/j.infsof.2019.01.003

Trust management in a blockchain based fog computing platform with trustless smart oracles

Autori: Petar Kochovski, Sandi Gec, Vlado Stankovski, Marko Bajec, Pavel D. Drobintsev
Pubblicato in: Future Generation Computer Systems, Numero 101, 2019, Pagina/e 747-759, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2019.07.030

A review of technologies and applications for smart construction

Autori: Matej Štefanič, Vlado Stankovski
Pubblicato in: Proceedings of the Institution of Civil Engineers - Civil Engineering, Numero 172/2, 2019, Pagina/e 83-87, ISSN 0965-089X
Editore: ICE Publishing
DOI: 10.1680/jcien.17.00050

A Platform Providing Interactive Signage Based on Edge-Cloud Cooperation

Autori: Jaewon Moon, Seungwoo Kum, Sangwon Lee
Pubblicato in: Journal of Internet Computing and Services (KRO), Numero 20/2, 2019, Pagina/e 39-49, ISSN 2287-1136
Editore: Korean Society for Internet Information
DOI: 10.7472/jksii.2019.20.2.39

A Heterogeneous IoT Data Analysis Framework with Collaboration of Edge-Cloud Computing: Focusing on Indoor PM10 and PM2.5 Status Prediction

Autori: Jaewon Moon, Seungwoo Kum, Sangwon Lee
Pubblicato in: Sensors, Numero 19/14, 2019, Pagina/e 3038, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19143038

Introducing SmartNICs in Server-Based Data Plane Processing: The DDoS Mitigation Use Case

Autori: Sebastiano Miano, Roberto Doriguzzi-Corin, Fulvio Risso, Domenico Siracusa, Raffaele Sommese
Pubblicato in: IEEE Access, Numero 7, 2019, Pagina/e 107161-107170, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2019.2933491

Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection

Autori: R. Doriguzzi-Corin, S. Millar, S. Scott-Hayward, J. Martinez-del-Rincon, D. Siracusa
Pubblicato in: IEEE Transactions on Network and Service Management, Numero 17/2, 2020, Pagina/e 876-889, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TNSM.2020.2971776

GEM-Analytics: Cloud-to-Edge AI-Powered Energy Management

Autori: Daniele Tovazzi, Francescomaria Faticanti, Domenico Siracusa, Claudio Peroni, Silvio Cretti, Tommaso Gazzini
Pubblicato in: Economics of Grids, Clouds, Systems, and Services - 17th International Conference, GECON 2020, Izola, Slovenia, September 15–17, 2020, Revised Selected Papers, Numero 12441, 2020, Pagina/e 57-66, ISBN 978-3-030-63057-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-63058-4_5

Distributed Cloud Intelligence: Implementing an ETSI MANO-Compliant Predictive Cloud Bursting Solution Using Openstack and Kubernetes

Autori: Francescomaria Faticanti, Jason Zormpas, Sergey Drozdov, Kewin Rausch, Orlando Avila García, Fragkiskos Sardis, Silvio Cretti, Mohsen Amiribesheli, Domenico Siracusa
Pubblicato in: Economics of Grids, Clouds, Systems, and Services - 17th International Conference, GECON 2020, Izola, Slovenia, September 15–17, 2020, Revised Selected Papers, Numero 12441, 2020, Pagina/e 80-85, ISBN 978-3-030-63057-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-63058-4_8

È in corso la ricerca di dati su OpenAIRE...

Risultati finali

Pubblicazioni

Condividi questa pagina

Scarica