PSI: Pervasive Self-Optimizing Computing Infrastructures

Status:

active

Start date:

2021-01-01

End date:

2024-12-31

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.


[Show all publications]

Towards Mapping Control Theory and Software Engineering Properties using Specification Patterns (Sep 2021)
Ricardo Caldas , Razan Ghzouli , Alessandro Papadopoulos, Patrizio Pelliccione , Danny Weyns , Thorsten Berger
2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)

REACT: Enabling Real-Time Container Orchestration (Sep 2021)
Václav Struhár, Silviu Craciunas , Mohammad Ashjaei, Moris Behnam, Alessandro Papadopoulos
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

Self-adapting Industrial Augmented Reality applications with proactive Dynamic Software Product Lines (Sep 2021)
Inmaculada Ayala, Mercedes Amor , Lidia Fuentes , Alessandro Papadopoulos
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

Extended Abstract: ProDSPL: Proactive Self-Adaptation based on Dynamic Software ProductLines (Sep 2021)
Inmaculada Ayala, Alessandro Papadopoulos, Mercedes Amor , Lidia Fuentes
25th ACM International Systems and Software Product Line Conference (SPLC 2021)

On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems (Jul 2021)
Filip Markovic, Alessandro Papadopoulos, Thomas Nolte
33rd Euromicro Conference on Real-Time Systems (ECRTS 2021)

LOOPS: A Holistic Control Approach for Resource Management in Cloud Computing (Apr 2021)
Auday Al-Dulaimy, Javid Taheri , Alessandro Papadopoulos, Thomas Nolte
12th ACM/SPEC International Conference on Performance Engineering (ICPE 2021)

Alessandro Papadopoulos, Associate Professor,Docent

Email: alessandro.papadopoulos@mdh.se
Room: U1-131
Phone: +46 (0)21-1073 23