PSI: Pervasive Self-Optimizing Computing Infrastructures
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PSI (Pervasive Self-Optimizing Computing Infrastructures) aims to provide a fabric of software components able to dynamically optimize the behaviour of the cloud and IoT infrastructures. PSI targets an improved usage of resources at the systems’ edge via continuous and distributed system-wide optimizations.
This project covers both theoretical and practical aspects, and it combines different research areas including self-adaptive software, control theory, optimization, distributed and real-time systems. The main goal of the project is to develop new methodologies for the efficient usage of computational resources while providing guarantees on different key performance indicators, like, for example, response time and throughput of the system.
| First Name | Last Name | Title |
|---|---|---|
| Alessandro | Papadopoulos | Professor |
Optimal reference tracking with arbitrary sampling (Jul 2025) Jacob Higgins , Alessandro Papadopoulos, Enrico Bini , Nicola Bezzo Automatica 2025 (Automatica)
Control Period Adaptation for Resource-Constrained MPC Applications (Jun 2025) Marcello Domenighini, Paolo Pazzaglia , Christoph Mark , Kevin Schmidt , Laura Beermann , Alessandro Papadopoulos 23rd European Control Conference (ECC) (ECC2025)
FedSecure: A Privacy-Preserving Federated Learning Algorithm (Jun 2025) Mojtaba Kaheni, Martina Lippi , Andrea Gasparri , Alessandro Papadopoulos 23rd European Control Conference (ECC) (ECC2025)
Nip It In The Bud: Job Acceptance Multi-Server (May 2025) Anna Friebe, Tommaso Cucinotta , Filip Markovic, Alessandro Papadopoulos, Thomas Nolte 31st IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2025)
DCGUARD: A Holistic Approach for Detecting and Isolating Malicious Nodes in Cloud Data Centers (Feb 2025) Wassim Itani , Maha Shamseddine , Auday Al-Dulaimy, Thomas Nolte, Alessandro Papadopoulos IEEE Transactions on Dependable and Secure Computing (TDSC 2025)
Efficiently Bounding Deadline Miss Probabilities of Markov Chain Real-Time Tasks (Oct 2024) Anna Friebe, Filip Markovic, Alessandro Papadopoulos, Thomas Nolte Real-Time Systems (RTJ)
Alessandro Papadopoulos, Professor
Email: alessandro.papadopoulos@mdu.seRoom: U1-131
Phone: +46 (0)21-1073 23
