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CORDIS

A Cognitive Fractal and Secure EDGE based on an unique Open-Safe-Reliable-Low Power Hardware Platform Node

Rezultaty

FRACTAL safety service

Definition and implementation of faulttolerance services and safety functions in a multiprocessor systemonachip serving as the FRACTAL node

Training Strategy and Plan

The deliverable will identify the target audience the training modules to be developed and the associated planning and scheduling of training development and quality control and reporting of initial courses

Methodological Framework (b)

Consolidated version of D23 with feedback received from the integration and evaluation efforts realized in WP7 and WP8 This deliverable is linked to T22

Specification of AI methods for use case applications

Specification of AI methods to provide use case applications with context awareness prediction and autonomous decision making to run on the FRACTAL AI platform This deliverable is linked to T53

Specification of AI methods for FRACTAL system control

Specification of AIbased techniques for the topdown and bottomup orchestration and system control of a FRACTAL system This deliverable is linked to T54

Preliminary FRACTAL hardware node and support

Preliminary developments for safety security lowpower and cognitive awareness support at hardware level partially integrated into the FRACTAL hardware nodes T31T33

FRACTAL low-power services

Definition and implementation of faulttolerance services onchip security services and lowpower services in a multiprocessor systemonachip serving as the FRACTAL node

Platform Specification (a)

Specification of the FRACTAL platform capabilities and features This deliverable is linked to T21

Platform specification (b)

Consolidated version of D21 with feedback received from the integration and evaluation efforts realized in WP7 and WP8 This deliverable is linked to T21

Methodological framework (a)

Description of the methodology and workflow to adopt when using the FRACTAL platform This deliverable is linked to T22

Theoretical study of FRACTAL AI

A theoretical study of the FRACTAL AI system from the point of view distributed learning and decision making including a comparison to related concepts eg federated and distilled learning and proposed decision making learning and data architectures for FRACTAL AI platform implementation This deliverable is linked to T51

Final AI methods for use case applications and mechanism for AI transparency interactions

Final specifications of AI methods for use case applications continuation of D51 Final solutions for AI to be EU GDPR compliant including transparency mechanism for AIHuman interactions This deliverable is linked to task T53

Intermediate FRACTAL hardware node and support

Intermediate developments for safety security lowpower and cognitive awareness support at hardware level partially integrated into the FRACTAL hardware nodes T31T33

Building Block Verification Plan into Verification Use Cases

A combined report will be given on the verification plan of each building block into the use cases As an output from Task 71 a detailed description will be given on each use case by defining in particularThe building blocks to be tested on that verification use caseThe objective of the use case ie the desired functioning of the system beforeafter FRACTALThe state of the art in the field of the use caseThe main contributions expected from FRACTAL as regards the main pillar of the projectThe KPIs defined to evaluate the results of the implementation of the building blocks and the verification use cases

Platform and building-blocks for Federated AI

Specification of the platform for FRACTAL AI toolkits and custom and pretrained models for AIbased Algorithms developed in the other tasks This deliverable is linked to T52

Training materials

This delivery will contain the final version of all course content for each training module ranging from basic level introductory materials to sophisticated results

Intermediate FRACTAL software node and services

Intermediate developments for safety security lowpower and cognitive awareness services for Linux Kernel partially integrated into the FRACTAL software layers T34T36

Final FRACTAL hardware node and support

Final solutions for safety security lowpower and cognitive awareness support at hardware level fully integrated into the FRACTAL hardware nodes T31T33

Verification Result of the Blocks and reference nodes

A combined report of the verification results ofeach independent building block each verification use casethe reference nodes

Final FRACTAL software node and services

Final solutions for safety security lowpower and cognitive awareness services for Linux Kernel fully integrated into the FRACTAL software layers Moreover the target is to publish the novel Linux Kernel drivers and other software as part of an official Linux kernel T34T36

Data Management Plan (DMP)

The DMP will provide an analysis of the main elements of the data management policy that will be used by the applications with regard to all the datasets that will be generated by the project The DMP is not a fixed document but evolves if necessary during the lifespan of the project According to the Guidelines on Data Management in Horizon 2020 the DMP should address data set reference and name data set description standards and metadata data sharing and archiving and preservation including storage and backup on a dataset by dataset basis and should reflect the current status of reflection within the consortium about the data that will be produced

Web presence and periodic update

This deliverable will provide publicly available project information including an introduction to the project and objectives the partners involved the expected results and the impact the results will have on the targeted industries Publicly available deliverables will be made available for download Additionally it will include another webrelated presence such as Twitter page and LinkedIn project page

FRACTAL edge controller design and implementation

This is the preliminary software design and implementation of the edge controller infrastructure As a result an opensource software implementation is obtained It is directly related to task 62 A preliminary version of the deliverable should be available by M18 in order to share the main communication guidelines

FRACTAL processing node design and implementation

This is the software design and implementation of the edge processing node including a fractal configuration and features to enable scalability in the platform As a result an opensource software implementation is obtained It is directly related to task 61

FRACTAL security capabilities

Definition and implementation security services functions and capabilities on the FRACTAL node

Safety-critical applications regulations compliance handbook

A document that presents the main expectations regulations and design ease the operational part of the nodes

Project Handbook

The project handbook constitutes a set of project templates explanations on the project management process review process quality checks meeting organization which is communicated to all partners Delivered by T11

System Requirement

A combined report on use case requirements will be given as an output of Task 82 and 83 functional requirements and nonfunctional requirements In this document the boundary conditions will be analyzed in details to ensure that all the components developed in the project can be integrated into the use case architecture and to drive any development of the other WPs A particular focus is on the data interfaces to avoid incompatibilities between the different modules composing the use case and for some use cases on the management of data in compliance with the European regulation on personal data

FRACTAL engineering framework validation

This document includes the final version of the validation tests definition for the whole FRACTAL engineering framework considering D61 and D62 as well as the obtained results It is directly related to task 63

FRACTAL AI-Based Algorithms for energy-efficient and safe temporal resource allocation

Definition and implementation of efficient scheduling algorithms based on heuristics eg AI list scheduling for the FRACTAL nodes and FRACTAL systems optimizing safety and energy efficiency while meeting realtime constraints

Evaluation Result

This deliverable consists of a report on the results of the executed Justification Plan as performed in Task 84 This deliverable gives a statement whether the objectives of the FRACTAL project are reached and enable future certification plans for commercial purposes

FRACTAL communication sub-system validation

This document includes the validation tests definition for the communication subsystem as well as the obtained results It is directly related to task 64

D8.1 Specification of Industrial validation Use Cases

A combined report will be given on the specification of the use cases As an output of Task 81 and 82 a detailed description will be given on each use case by defining in particularThe functioning of the system before FRACTALThe objective of the use case ie the desired functioning of the system after FRACTALThe state of the art in the field of the use caseThe main contributions expected from FRACTAL in particular as regards the main pillar of the projectThe KPIs that can be defined to evaluate the results of implementation

Preliminary FRACTAL software node and services

Preliminary developments for safety security lowpower and cognitive awareness services for Linux Kernel partially integrated into the FRACTAL software layers T34T36

Press kit (3)

- 2nd update of presentation, brochure, and leaflet

Press kit (2)

1st update of presentation brochure and leaflet

Press kit (1)

This deliverable will provide the first iteration of projectspecific materials to summarize objectives target audience technology results and expected impact from the project for industries targeted by FRACTAL

Prototypes of the references designs

There will be as many prototypes as envisioned reference cognitive nodes. The platform as a node building block plus the building blocks to be verified.

Publikacje

EDISON: An Edge-Native Method and Architecture for Distributed Interpolation

Autorzy: Lauri Lovén, Tero Lähderanta, Leena Ruha, Ella Peltonen, Ilkka Launonen, Mikko J. Sillanpää, Jukka Riekki, Susanna Pirttikangas
Opublikowane w: Sensors, Numer 21/7, 2021, Strona(/y) 2279, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21072279

A Triple-Mode Cellular IoT SoC Achieving −136.8-dBm eMTC Sensitivity

Autorzy: Stefan Lippuner, Mauro Salomon, Matthias Korb, Michael Gautschi, Thomas Dellsperger, Stefan Altorfer, Jurgen Rogin, Samuel Willi, David Tschopp, Benjamin Weber, Qiuting Huang
Opublikowane w: IEEE Solid-State Circuits Letters, Numer 3, 2020, Strona(/y) 418-421, ISSN 2573-9603
Wydawca: IEEE
DOI: 10.1109/lssc.2020.3025033

Unmanned Aerial Vehicles for Air Pollution Monitoring: A survey

Autorzy: Motlagh, Naser Hossein; Kortoçi, Pranvera; Su, Xiang; Lovén, Lauri; Hoel, Hans Kristian; Haugsvær, Sindre Bjerkestrand; Srivastava, Varun; Gulbrandsen, Casper Fabian; Nurmi, Petteri; and Tarkoma, Sasu
Opublikowane w: IEEE Internet of Things Journal, 2023, ISSN 2327-4662
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2023.3290508

TrustedMaaS: Transforming trust and transparency Mobility-as-a-Service with blockchain

Autorzy: Tri Nguyen, Huong Nguyen, Juha Partala, Susanna Pirttikangas
Opublikowane w: Future Generation Computer Systems, Numer Volume 149, December 2023, 2023, Strona(/y) Pages 606-621, ISSN 0167-739X
Wydawca: Elsevier BV

A dark and stormy night: Reallocation storms in edge computing

Autorzy: Lauri Lovén, Ella Peltonen, Leena Ruha, Erkki Harjula & Susanna Pirttikangas
Opublikowane w: EURASIP Journal on Wireless Communications and Networking, Numer Article number: 86, 2022, ISSN 1687-1499
Wydawca: SpringerOpen
DOI: 10.1186/s13638-022-02170-y

Digital Twins for Smart Spaces - Beyond IoT Analytics

Autorzy: Motlagh, Naser Hossein; Zaidan, Martha Arbayani; Lovén, Lauri; Fung, Pak Lun; Hänninen, Tuomo; Morabito, Roberto; Nurmi, Petteri and Tarkoma, Sasu
Opublikowane w: IEEE Internet of Things Journal, 2023, ISSN 2327-4662
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2023.3287032

Research and Education Towards Smart and Sustainable World

Autorzy: Jukka Riekki, Aarne Mammela
Opublikowane w: IEEE Access, Numer 9, 2021, Strona(/y) 53156-53177, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3069902

The ECSEL FRACTAL Project: A Cognitive Fractal and Secure edge based on a unique Open-Safe-Reliable-Low Power Hardware Platform

Autorzy: Aizea Lojo, Leire Rubio, Jesus Miguel Ruano, Tania Di Mascio, Luigi Pomante, Enrico Ferrari, Ignacio Garcia Vega, Frank K. Gurkaynak, Mikel Labayen Esnaola, Vanessa Orani, Jaume Abella
Opublikowane w: 2020 23rd Euromicro Conference on Digital System Design (DSD), 2020, Strona(/y) 393-400, ISBN 978-1-7281-9535-3
Wydawca: IEEE
DOI: 10.1109/dsd51259.2020.00069

Semantic Slicing across the Distributed Intelligent 6G Wireless Networks

Autorzy: Lovén, Lauri; Shahid, Hafiz Faheem; Nguyen, Le; Harjula, Erkki; Silvén, Olli; Pirttikangas, Susanna and Bordallo Lopez, Miguel
Opublikowane w: Conference: 2nd Workshop on Semantic Communication for 6G Organised in Conjunction with IEEE SECON 2023At: Madrid, Spain, 2023
Wydawca: IEEE International Conference on Sensing, Communication, and Networking (SECON 2023)

Situation Awareness for Autonomous Vehicles Using Blockchain-Based Service Cooperation

Autorzy: Huong Nguyen, Tri Nguyen, Teemu Leppänen, Juha Partala & Susanna Pirttikangas
Opublikowane w: In: Franch, X., Poels, G., Gailly, F., Snoeck, M. (eds) Advanced Information Systems Engineering. CAiSE 2022. Lecture Notes in Computer Science, Numer vol 13295, 2022, Strona(/y) 501-516
Wydawca: Springer, Cham
DOI: 10.1007/978-3-031-07472-1_29

Weathering the Reallocation Storm: Large-Scale Analysis of Edge Server Workload

Autorzy: Lauri Loven, Ella Peltonen, Erkki Harjula, Susanna Pirttikangas
Opublikowane w: 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2021, Strona(/y) 317-322, ISBN 978-1-6654-1526-2
Wydawca: IEEE
DOI: 10.1109/eucnc/6gsummit51104.2021.9482593

Security, Reliability and Test Aspects of the RISC-V Ecosystem

Autorzy: Jaume Abella, Sergi Alcaide, Jens Anders, Francisco Bas, Steffen Becker, Elke De Mulder, Nourhan Elhamawy, Frank K. Gurkaynak, Helena Handschuh, Carles Hernandez, Mike Hutter, Leonidas Kosmidis, Ilia Polian, Matthias Sauer, Stefan Wagner, Francesco Regazzoni
Opublikowane w: 2021 IEEE European Test Symposium (ETS), 2021, Strona(/y) 1-10, ISBN 978-1-6654-1849-2
Wydawca: IEEE
DOI: 10.1109/ets50041.2021.9465449

Spatial dependency in edge-native artificial intelligence

Autorzy: Lovén, Lauri
Opublikowane w: Acta Universitatis Ouluensis. C, Technica [Doctoral Dissertation], Numer 805, 2021, ISBN 978-952-62-3087-0
Wydawca: University of Oulu

Design and implementation of a next-generation task orchestration platform for edge computing with Rust language

Autorzy: Mohsseni, Vahid
Opublikowane w: 2023
Wydawca: University of Oulu, Faculty of ITEE

Integration and characterisation of the performance of fifth-generation mobile technology (5g) connectivity over the University of Oulu 5g test network (5gtn) for cognitive edge node based on fractal edge platform

Autorzy: Warnakulasuriya, Diluna
Opublikowane w: 2023
Wydawca: University of Oulu, Faculty of ITEE

Seamless connectivity : investigating implementation challenges of multibroker MQTT platform for smart environmental monitoring

Autorzy: Awan, Ramisha
Opublikowane w: 2023
Wydawca: University of Oulu, ITEE Faculty

Energy-Sustainable IoT Connectivity: Vision, Technological Enablers, Challenges, and Future Directions.

Autorzy: Alcaraz López, Onel; Martinez Rosabal, Osmel; Ruiz Guirola, David; Raghuwanshi, Prasoon; Mikhaylov, Konstantin; Lovén, Lauri and Iyer, Sridhar
Opublikowane w: 2023
Wydawca: arXiv:2306.02444v1

Reinforcement learning for safety-critical control of an automated vehicle

Autorzy: Florian Thaler, Franz Rammerstorfer, Jon Ander Gomez, Raul Garcia Crespo, Leticia Pasqual, Markus Postl
Opublikowane w: Arxiv, 2023
Wydawca: Arxiv
DOI: 10.48550/arxiv.2308.16767

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Autorzy: Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh, Juha Partala, Alfonso González-Gil, Ester Sola, Iñigo Angulo, Madhusanka Liyanage, Teemu Leppänen, Tri Nguyen, Víctor Casamayor Pujol, Panos Kostakos, Mehdi Bennis, Sasu Tarkoma, Schahram Dustdar, Susanna Pirttikangas, Jukka Riekki
Opublikowane w: 2022
Wydawca: arXiv
DOI: 10.48550/arxiv.2205.01423

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