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 |
Hybrid Moving Controller: Modified Hybrid Moving Target Defense with Stability Guarantees (Jun 2024) Mojtaba Kaheni, Alessandro Papadopoulos 22nd European Control Conference (ECC 2024)
Enhancing Sensor Attack Detection and Mitigating Sensor Compromise Impact in a Switching-Based Moving Target Defense (Jun 2024) Anas Al-hashimi, Thomas Nolte, Alessandro Papadopoulos 22nd European Control Conference (ECC 2024)
Hierarchical Resource Orchestration Framework for Real-Time Containers (Jan 2024) Václav Struhár, Silviu Craciunas , Mohammad Ashjaei, Moris Behnam, Alessandro Papadopoulos ACM Transactions on Embedded Computing Systems (TECS 2024)
Multi-Criteria Optimization of Application Offloading in the Edge-to-Cloud Continuum (Dec 2023) Branko Miloradovic, Alessandro Papadopoulos 62nd IEEE Conference on Decision and Control (CDC 2023)
GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem (Dec 2023) Mirgita Frasheri , Branko Miloradovic, Lukas Esterle , Alessandro Papadopoulos IEEE Symposium Series on Computational Intelligence (SSCI 2023)
CTA: A Correlation-Tolerant Analysis of the Deadline-Failure Probability of Dependent Tasks (Dec 2023) Filip Markovic, Pierre Roux , Sergey Bozhko , Alessandro Papadopoulos, Björn B. Brandenburg 44th IEEE Real-Time Systems Symposium (RTSS 2023)