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 |
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)
Resource Management For Stochastic Parallel Synchronous Tasks: Bandits To The Rescue (Jul 2025) Anna Friebe, Alberto Marchetti-Spaccamela , Tommaso Cucinotta , Alessandro Papadopoulos, Thomas Nolte, Sanjoy Baruah Real-Time Systems (RTSJ 2025)
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)
Alessandro Papadopoulos, Professor
Email: alessandro.papadopoulos@mdu.seRoom: U1-131
Phone: +46 (0)21-1073 23
