PSI: Pervasive Self-Optimizing Computing Infrastructures
Status:
Start date:
End date:
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 |
Conditions for Mean and First-Moment Stability of Positive Markov Jump Linear Systems with Time-Varying Subsystems (Dec 2025) Vittorio De Iuliis , Mojtaba Kaheni, Alessandro Papadopoulos, Costanzo Manes 64th IEEE Conference on Decision and Control (CDC) (CDC 2025)
A Modified Adaptive Data-Enabled Policy Optimization Control to Resolve State Perturbations (Dec 2025) Mojtaba Kaheni, Niklas Persson, Vittorio De Iuliis , Costanzo Manes , Alessandro Papadopoulos 64th IEEE Conference on Decision and Control (CDC) (CDC 2025)
Driving Closer to the Limit: Improved Virtual Racecar Drivers with Data-Driven Control (Nov 2025) Ruslan Shaiakhmetov , Danilo Pianini , Valter Venusti , Gabriele D'Angelo , Alessandro Papadopoulos 24th Asia Simulation Conference (AsiaSim) (AsiaSim 2025)
A Field-based Approach for Runtime Replanning in Swarm Robotics Missions (Sep 2025) Gianluca Aguzzi , Martina Baiardi , Angela Cortecchia , Branko Miloradovic, Alessandro Papadopoulos, Danilo Pianini , Mirko Viroli 6th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) (ACSOS 2025)
Stochastic Scheduling for Human-Robot Collaboration in Dynamic Manufacturing Environments (Aug 2025) Anders Lager, Branko Miloradovic, Giacomo Spampinato , Thomas Nolte, Alessandro Papadopoulos 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025)
Optimal reference tracking with arbitrary sampling (Jul 2025) Jacob Higgins , Alessandro Papadopoulos, Enrico Bini , Nicola Bezzo Automatica 2025 (Automatica)
Alessandro Papadopoulos, Professor
Email: alessandro.papadopoulos@mdu.seRoom: U1-131
Phone: +46 (0)21-1073 23
