Leistungen
Definition and implementation of faulttolerance services and safety functions in a multiprocessor systemonachip serving as the FRACTAL node
Training Strategy and PlanThe 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 applicationsSpecification 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 controlSpecification 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 supportPreliminary developments for safety security lowpower and cognitive awareness support at hardware level partially integrated into the FRACTAL hardware nodes T31T33
FRACTAL low-power servicesDefinition 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 AIA 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 interactionsFinal 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 supportIntermediate 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 CasesA 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 AISpecification 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 materialsThis 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 servicesIntermediate 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 supportFinal 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 nodesA combined report of the verification results ofeach independent building block each verification use casethe reference nodes
Final FRACTAL software node and servicesFinal 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 updateThis 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 implementationThis 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 implementationThis 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 capabilitiesDefinition and implementation security services functions and capabilities on the FRACTAL node
Safety-critical applications regulations compliance handbookA document that presents the main expectations regulations and design ease the operational part of the nodes
Project HandbookThe 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 RequirementA 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 validationThis 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 allocationDefinition 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 ResultThis 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 validationThis 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 CasesA 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 servicesPreliminary developments for safety security lowpower and cognitive awareness services for Linux Kernel partially integrated into the FRACTAL software layers T34T36
- 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
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.
Veröffentlichungen
Autoren:
Lauri Lovén, Tero Lähderanta, Leena Ruha, Ella Peltonen, Ilkka Launonen, Mikko J. Sillanpää, Jukka Riekki, Susanna Pirttikangas
Veröffentlicht in:
Sensors, Ausgabe 21/7, 2021, Seite(n) 2279, ISSN 1424-8220
Herausgeber:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s21072279
Autoren:
Stefan Lippuner, Mauro Salomon, Matthias Korb, Michael Gautschi, Thomas Dellsperger, Stefan Altorfer, Jurgen Rogin, Samuel Willi, David Tschopp, Benjamin Weber, Qiuting Huang
Veröffentlicht in:
IEEE Solid-State Circuits Letters, Ausgabe 3, 2020, Seite(n) 418-421, ISSN 2573-9603
Herausgeber:
IEEE
DOI:
10.1109/lssc.2020.3025033
Autoren:
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
Veröffentlicht in:
IEEE Internet of Things Journal, 2023, ISSN 2327-4662
Herausgeber:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/jiot.2023.3290508
Autoren:
Tri Nguyen, Huong Nguyen, Juha Partala, Susanna Pirttikangas
Veröffentlicht in:
Future Generation Computer Systems, Ausgabe Volume 149, December 2023, 2023, Seite(n) Pages 606-621, ISSN 0167-739X
Herausgeber:
Elsevier BV
Autoren:
Lauri Lovén, Ella Peltonen, Leena Ruha, Erkki Harjula & Susanna Pirttikangas
Veröffentlicht in:
EURASIP Journal on Wireless Communications and Networking, Ausgabe Article number: 86, 2022, ISSN 1687-1499
Herausgeber:
SpringerOpen
DOI:
10.1186/s13638-022-02170-y
Autoren:
Motlagh, Naser Hossein; Zaidan, Martha Arbayani; Lovén, Lauri; Fung, Pak Lun; Hänninen, Tuomo; Morabito, Roberto; Nurmi, Petteri and Tarkoma, Sasu
Veröffentlicht in:
IEEE Internet of Things Journal, 2023, ISSN 2327-4662
Herausgeber:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/jiot.2023.3287032
Autoren:
Jukka Riekki, Aarne Mammela
Veröffentlicht in:
IEEE Access, Ausgabe 9, 2021, Seite(n) 53156-53177, ISSN 2169-3536
Herausgeber:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2021.3069902
Autoren:
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
Veröffentlicht in:
2020 23rd Euromicro Conference on Digital System Design (DSD), 2020, Seite(n) 393-400, ISBN 978-1-7281-9535-3
Herausgeber:
IEEE
DOI:
10.1109/dsd51259.2020.00069
Autoren:
Lovén, Lauri; Shahid, Hafiz Faheem; Nguyen, Le; Harjula, Erkki; Silvén, Olli; Pirttikangas, Susanna and Bordallo Lopez, Miguel
Veröffentlicht in:
Conference: 2nd Workshop on Semantic Communication for 6G Organised in Conjunction with IEEE SECON 2023At: Madrid, Spain, 2023
Herausgeber:
IEEE International Conference on Sensing, Communication, and Networking (SECON 2023)
Autoren:
Huong Nguyen, Tri Nguyen, Teemu Leppänen, Juha Partala & Susanna Pirttikangas
Veröffentlicht in:
In: Franch, X., Poels, G., Gailly, F., Snoeck, M. (eds) Advanced Information Systems Engineering. CAiSE 2022. Lecture Notes in Computer Science, Ausgabe vol 13295, 2022, Seite(n) 501-516
Herausgeber:
Springer, Cham
DOI:
10.1007/978-3-031-07472-1_29
Autoren:
Lauri Loven, Ella Peltonen, Erkki Harjula, Susanna Pirttikangas
Veröffentlicht in:
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2021, Seite(n) 317-322, ISBN 978-1-6654-1526-2
Herausgeber:
IEEE
DOI:
10.1109/eucnc/6gsummit51104.2021.9482593
Autoren:
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
Veröffentlicht in:
2021 IEEE European Test Symposium (ETS), 2021, Seite(n) 1-10, ISBN 978-1-6654-1849-2
Herausgeber:
IEEE
DOI:
10.1109/ets50041.2021.9465449
Autoren:
Lovén, Lauri
Veröffentlicht in:
Acta Universitatis Ouluensis. C, Technica [Doctoral Dissertation], Ausgabe 805, 2021, ISBN 978-952-62-3087-0
Herausgeber:
University of Oulu
Autoren:
Mohsseni, Vahid
Veröffentlicht in:
2023
Herausgeber:
University of Oulu, Faculty of ITEE
Autoren:
Warnakulasuriya, Diluna
Veröffentlicht in:
2023
Herausgeber:
University of Oulu, Faculty of ITEE
Autoren:
Awan, Ramisha
Veröffentlicht in:
2023
Herausgeber:
University of Oulu, ITEE Faculty
Autoren:
Alcaraz López, Onel; Martinez Rosabal, Osmel; Ruiz Guirola, David; Raghuwanshi, Prasoon; Mikhaylov, Konstantin; Lovén, Lauri and Iyer, Sridhar
Veröffentlicht in:
2023
Herausgeber:
arXiv:2306.02444v1
Autoren:
Florian Thaler, Franz Rammerstorfer, Jon Ander Gomez, Raul Garcia Crespo, Leticia Pasqual, Markus Postl
Veröffentlicht in:
Arxiv, 2023
Herausgeber:
Arxiv
DOI:
10.48550/arxiv.2308.16767
Autoren:
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
Veröffentlicht in:
2022
Herausgeber:
arXiv
DOI:
10.48550/arxiv.2205.01423
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