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Biography:
Nabil Abdennadher received the Diploma in Computer Engineering from Ecole Nationale des Sciences de l’Informatique (ENSI, Tunisia), and the Ph.D. degrees in Computer Science from Univ. of Valenciennes (France) in 1988 and 1991, respectively. He was assistant professor at the Univ. of Tunis II from 1992 to 1998 and research assistant at the Swiss Federal Institute of Technology (EPFL) from 1999 to 2000. In 2001, he joined the University of Applied Sciences, Western Switzerland (HES-SO, HEPIA) as assistant professor. In 2008, he became associate professor and in 2017 he was promoted to full professor. Nabil Abdennadher was head of the inIT research institute at HES-SO, HEPIA from 2010 to 2022. He is currently head of the Large-Scale Distributed Systems research group, representative of the Innovation DataBooster initiative in Swiss Romandie, member of the Editorial Board of the Journal of Reliable Intelligent Environments and member of the Swiss AI centre team. He is author and co-author of several publications and book-chapters. He is currently working on several Swiss and European projects aiming at developing AI-based tools for energy sector.
Title: Towards a self-adaptive Federated Learning (FL) based edge-to-edge framework. Application to energy sector
Abstarct: New forms of electricity production and consumption are disrupting the energy market. Renewable energy sources are intermittent and distributed in vast numbers of small-scale decentralized energy producers, which affects grid management. In parallel, consumption scenarios are changing as fossil fuels are being replaced by electricity in several sectors such as electric vehicles.
Along the same lines, digital transformation is reshaping the electricity market. To name a few, internet of things, edge-to-cloud computing and machine learning techniques will allow the proliferation of intelligent versions of today's “smart meter”. We can expect that, soon, the new smart meters devices will support additional functions including:
- Monitoring: monitor/control home appliances, optimise local consumption or microgrid’s consumption,
- Learning and predicting consumption/production,
- Gathering information related to other households
- support IT technology such as Internet of Things (to collect and gather data), Artificial Intelligence (to set up and self-adapt predictive models), Cloud and Edge computing (to store and process data), collaborative models to insure collaboration, etc.
- unify and optimise computation and data across diverse and distributed resources from From IoT devices to edge devices to Cloud and HPC. This is what is known today as Continuum Computing.
The goal of this workshop is to bring together researchers and practitioners both from the Academia and from the Industry working in the areas of the adaptation and reconfiguration of distributed systems. Different investigation topics are involved, such as: Component Based Software Engineering, Web service, cloud applications, mobile applications, Functional and non-functional requirements (QoS, performance, resilience), monitoring, diagnosis, decision and execution of adaptation and reconfiguration. Different research areas are covered: concepts, methods, techniques, and tools to design, develop, deploy and manage adaptive and reconfigurable software systems.
The concept of adaptive and reconfigurable software systems has been introduced in order to describe architectures, which exhibit such properties. An adaptive and reconfigurable software system can repair itself if any execution problems occur, in order to successfully complete its own execution, while respecting functional and non-functional agreements. In the design of an adaptive and reconfigurable software system, several aspects have to be considered. For instance, the system should be able to predict or to detect degradations and failures as soon as possible and to enact suitable recovery actions.
- Distributed and centralized collaborative solutions for the diagnosis and repair of software systems
- Design for the diagnosability and repairability
- Collaborative Management of Non-Functional requirements (quality, security, robustness, availability)
- Monitoring simple and composite architectures, components and services
- Semantic (or analytic) architectural and behavioral models for monitoring of software systems
- Dynamic reconfiguration of cloud and mobile applications
- Collaborative planning and decision making
- Collaborative technologies for ensuring autonomic properties
- Predictive management of adaptability
- Collaborative Management of autonomic properties
- Experiences in practical adaptive and reconfigurable applications
- Tools and prototypes for managing adaptability of applications
- IoT and cyber physical systems
Abstracts Submission: Mon 12 May 2025
Papers Submission:
Decision Notification: Fri 20 Jun 2025
Camera-Ready Submission : Fri 27 Jun 2025
Early registration: Fri 27 Jun 2025
- Full research and experience papers, the length of full/experience workshop papers shall be maximum 16 pages (including figures, references, etc.).
- Short and position papers, presenting promising preliminary results from work-in-progress or research challenges, the length of short papers shall be maximum 8 pages plus 2 pages only for references.
Nesrine Khabou, ReDCAD, University of Sfax, Tunisia
Khalil Drira, LAAS-CNRS, Univ Toulouse, France
Abdulatif Alabdulatif | Qassim University, Saudi Arabia |
Bernd Freisleben | University of Marburg , Germany |
Carlos E. Cuesta | Rey Juan Carlos University , Spain |
Chouki Tibermacine | University of Montpellier , France |
Claudia Raibulet | University of Milano-Bicocca , Italy |
Cecilia Rubira | University of Campinas , Brazil |
Elisa Yumi Nakagawa | University of São Paulo , Brasil |
Flavio Oquendo | IRISA (UMR CNRS) - Univ. Bretagne-Sud (UBS) , France |
Ernesto Exposito | Univ de Pau et des Pays de l'Adour , France |
Federico Bergenti | the University of Parma , Italy |
Francisco Moo-Mena | Autonomous University of Yucatán , Mexico |
Fairouz Fakhfakh | University of Sfax , Tunisia |
Henry Muccini | University of L'Aquila , Italy |
Ian Gorton | Northeastern University , USA |
Imen Abdennadher | University of Sfax , Tunisia |
Mehdi Khouja | University of Gabes , Tunisia |
Miriam Capretz | University of Western Ontario , Canada |
Mohamed Mosbah | LaBRI - University of Bordeaux , France |
Mohamed Jmaiel | University of Sfax , Tunisia |
Mohand-Said Hacid | Univ Claude Bernard Lyon 1 - UCBL , France |
Mouna Rekik | University of Sfax , Tunisia |
Mourad Oussalah | LINA Laboratory, University of Nantes , France |
Nikolaos Georgantas | INRIA , France |
Philippe Roose | LIUPPA/UPPA , France |
Riadh Ben Halima | University of Sfax , Tunisia |
Sami Yangui | University of Toulouse , France |
Saul Pomares | Autonomous University of Yucatán , Mexico |
Slim Kallel | University of Sfax , Tunisia |
Uwe Zdun | University of Vienna , Austria |
Wafa Gabsi | University of Sfax , Tunisia |
Yamine Ait Ameur | IRIT/INPT-ENSEEIHT , France |
bouassida@redcad.org
ReDCAD Reserach Laboratory
B.P. 1173, Sfax, Tunisia
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Research Lab. on Development and Control of Distributed Applications |
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Laboratoire d'Analyse et d'Architecture des Systèmes |
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Association Of Computer Science And Mathematics |