We envision future factories being designed by compositions of smart connected components, with a large part of the intelligence residing in the Cloud. This will enable increased flexibility and evolvability of manufacturing, as well as pave the way for new business models where production facilities can be accessible as cloud services.
Moving a large part of the production complexity to the Cloud has benefits in cost, energy efficiency, sharing of resources, increased flexibility, adaptability and evolvability, and provide in general a strong basis for innovation. There are however associated challenges, including providing efficient and predictable (safe and secure) computation and communication, and coping with the huge amounts of data needed to provide the envisioned intelligence. These challenges are particularly demanding in safety-relevant systems, such as transportation and manufacturing.
FiC will provide generic solutions for Future factories in the Cloud in the form of an integrated set of techniques and generic tools for future smart products and production systems, including architectural templates for cloud based production; algorithms and tools for safe and secure communication and computation, specifically handling big-data; and techniques for efficient and predictable sharing of computation and communication resources. The research will be based on real usage scenarios and results demonstrated and evaluated in industrial contexts.
|First Name||Last Name||Title|
|Svetlana||Girs||Head of Division,Lecturer|
|Maryam||Vahabi||Associated Senior Lecturer|
| IoT and Fog computing |
Instructors: Mohammad Ashjaei, Hossein Fotouhi
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing (Aug 2021) Alessandro Papadopoulos, Laurens Versluis , André Bauer , Nikolas Roman Herbst , Jóakim von Kistowski , Ahmed Ali-Eldin , Cristina Abad , J. Nelson Amaral , Petr Tuma , Alexandru Iosup IEEE Transactions on Software Engineering (TSE)
Supporting Automated Verification of Reconfigurable Systems with Product Lines and Model Checking (Apr 2021) Faiz Ul Muram, Samina Kanwal , Muhammad Atif Javed Conference on Evaluation of Novel Approaches to Software Engineering (ENASE)
Facilitating the Compliance of Process Models with Critical System Engineering Standards Using Natural Language Processing (Apr 2021) Faiz Ul Muram, Muhammad Atif Javed, Samina Kanwal Conference on Evaluation of Novel Approaches to Software Engineering (ENASE)
Drone-based Risk Management of Autonomous Systems Using Contracts and Blockchain (Mar 2021) Faiz Ul Muram, Muhammad Atif Javed 4th International Workshop on Emerging Trends in Software Engineering for Blockchain (IWBOSE 2021)
ProDSPL: Proactive Self-Adaptation based on Dynamic Software Product Lines (Jan 2021) Inmaculada Ayala, Alessandro Papadopoulos, Mercedes Amor , Lidia Fuentes Journal of Systems and Software (JSS)
Outage Performance of Pairwise NOMA Allowing a Dynamic Decoding Order and Optimal Pairs of Power Levels (Nov 2020) Van-Lan Dao, Le-Nam Hoang, Svetlana Girs, Elisabeth Uhlemann IEEE Open Journal of the Communications Society (OJCOMS)