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

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

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

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

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

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

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 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

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

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 (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


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

Author(s): Lauri Lovén, Tero Lähderanta, Leena Ruha, Ella Peltonen, Ilkka Launonen, Mikko J. Sillanpää, Jukka Riekki, Susanna Pirttikangas
Published in: Sensors, Issue 21/7, 2021, Page(s) 2279, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21072279

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

Author(s): Stefan Lippuner, Mauro Salomon, Matthias Korb, Michael Gautschi, Thomas Dellsperger, Stefan Altorfer, Jurgen Rogin, Samuel Willi, David Tschopp, Benjamin Weber, Qiuting Huang
Published in: IEEE Solid-State Circuits Letters, Issue 3, 2020, Page(s) 418-421, ISSN 2573-9603
Publisher: IEEE
DOI: 10.1109/lssc.2020.3025033

A dark and stormy night: Reallocation storms in edge computing

Author(s): Lauri Lovén, Ella Peltonen, Leena Ruha, Erkki Harjula & Susanna Pirttikangas
Published in: EURASIP Journal on Wireless Communications and Networking, Issue Article number: 86, 2022, ISSN 1687-1499
Publisher: SpringerOpen
DOI: 10.1186/s13638-022-02170-y

Research and Education Towards Smart and Sustainable World

Author(s): Jukka Riekki, Aarne Mammela
Published in: IEEE Access, Issue 9, 2021, Page(s) 53156-53177, ISSN 2169-3536
Publisher: 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

Author(s): 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
Published in: 2020 23rd Euromicro Conference on Digital System Design (DSD), 2020, Page(s) 393-400, ISBN 978-1-7281-9535-3
Publisher: IEEE
DOI: 10.1109/dsd51259.2020.00069

Situation Awareness for Autonomous Vehicles Using Blockchain-Based Service Cooperation

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

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

Author(s): Lauri Loven, Ella Peltonen, Erkki Harjula, Susanna Pirttikangas
Published in: 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2021, Page(s) 317-322, ISBN 978-1-6654-1526-2
Publisher: IEEE
DOI: 10.1109/eucnc/6gsummit51104.2021.9482593

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

Author(s): 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
Published in: 2021 IEEE European Test Symposium (ETS), 2021, Page(s) 1-10, ISBN 978-1-6654-1849-2
Publisher: IEEE
DOI: 10.1109/ets50041.2021.9465449

Spatial dependency in edge-native artificial intelligence

Author(s): Lovén, Lauri
Published in: Acta Universitatis Ouluensis. C, Technica [Doctoral Dissertation], Issue 805, 2021, ISBN 978-952-62-3087-0
Publisher: University of Oulu

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

Author(s): 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
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2205.01423

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