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.
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Change-point and model estimation with heteroskedastic noise and unknown model structure (Jul 2023) Anas Al-hashimi, Thomas Nolte, Alessandro Papadopoulos 9th International Conference on Control, Decision and Information Technologies (CoDIT 2023)
Scheduling Firm Real-time Applications on the Edge with Single-bit Execution Time Prediction (May 2023) Shaik Salman, Van-Lan Dao, Alessandro Papadopoulos, Saad Mubeen, Thomas Nolte 2023 IEEE 25th International Symposium on Real Time Distributed Computing (ISORC) (ISORC'23)
Continuous-Emission Markov Models for Real-Time Applications: Bounding Deadline Miss Probabilities (May 2023) Anna Friebe, Filip Markovic, Alessandro Papadopoulos, Thomas Nolte 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2023)
The SPEC-RG Reference Architecture for The Edge Continuum (May 2023) Matthijs Jansen , Auday Al-Dulaimy, Alessandro Papadopoulos, Animesh Trivedi , Alexandru Iosup 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid'23)
Hierarchical Resource Orchestration Framework for Real-Time Containers (Apr 2023) Václav Struhár, Silviu Craciunas , Mohammad Ashjaei, Moris Behnam, Alessandro Papadopoulos ACM Transactions on Embedded Computing Systems (TECS 2023)
Optimizing Parallel Task Execution for Multi-Agent Mission Planning (Mar 2023) Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos IEEE Access (IEEE Access 2023)