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 |
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)
A Data-Driven Predictive Control Driver for Racing Car Simulation (Oct 2024) Ruslan Shaiakhmetov , Danilo Pianini , Valter Venusti , Alessandro Papadopoulos 8th International Symposium on Dis- tributed Simulation and Real Time Applications (DS-RT 2024)
The computing continuum: From IoT to the cloud (Oct 2024) Auday Al-Dulaimy, Matthijs Jansen , Bjarne Johansson, Animesh Trivedi , Alexandru Iosup , Mohammad Ashjaei, Antonino Galletta , Dragi Kimovski , Radu Prodan , Konstantinos Tserpes , George Kousiouris , Chris Giannakos , Ivona Brandic , Nawfal Ali , André B. Bondi , Alessandro Papadopoulos Internet of Things (IoT)
An Expert System for Managing the Render Farms in Cloud Data Centers (Sep 2024) Auday Al-Dulaimy, Karam Turki , Thomas Nolte, Alessandro Papadopoulos Research and Technologies for Society and Industry (RTSI 2024)
A Privacy-Preserving Distributed Greedy Framework to Desynchronize Power Consumption in a Network of Thermostatically Controlled Loads (Jul 2024) Mojtaba Kaheni, Alessandro Papadopoulos, Elio Usai , Mauro Franceschelli IEEE Transactions on Control Systems Technology (TCST 2024)
Hybrid Moving Controller: Modified Hybrid Moving Target Defense with Stability Guarantees (Jun 2024) Mojtaba Kaheni, Alessandro Papadopoulos 22nd European Control Conference (ECC 2024)
Alessandro Papadopoulos, Professor
Email: alessandro.papadopoulos@mdu.seRoom: U1-131
Phone: +46 (0)21-1073 23
