Poster at ACACES 2023 Summer School

Alexandros Patras (UTH) presented a poster for our ongoing work related to ML-based autonomic operation at the Node level, at the ACACES 2023 Summer School. Besides presenting our work, ACACES was an excellent opportunity to meet and communicate with researchers worldwide.

Poster at ACASES Summer School
Alexandros Patras presenting the MLSysOps poster
ACASES Summer school group photo
ACASES Summer school group photo

Upcoming paper presentation at DCOSS

UTH’s paper on “Flexible Computation Offloading at the Edge for Autonomous Drones with Uncertain Flight Times” will be presented at the 19th IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, June 19-21, 2023


Keynote lecture at IoTBDS

Prof. Giancarlo Fortino gave a keynote lecture titled “Integrating Machine Learning and Multi-Agent Systems for Fully Enabling Device-Edge-Cloud Continuum in Complex IoT Worlds” at the 8th International Conference on Internet of Things, Big Data and Security (IoTBDS 2023), April 21-23, 2023 – Prague.


The 1st International Workshop on Machine Learning for Autonomic System Operations in the Device-Edge-Cloud Continuum (MLSysOps 2023)

We are pleased to announce the 1st International Workshop on Machine Learning for Autonomic System Operations in the Device-Edge-Cloud Continuum, taking place on September 25, 2023 at Rende, Italy, in conjunction with the International Conference on Embedded Wireless Systems and Networks (EWSN 2023).

The goal of the workshop is to bring together a community of researchers and practitioners who study problems at the intersection of AI/ML, autonomic and cognitive computing, D-E-C continuum, distributed system operation, and resilient application deployment.

For more information, please visit

Kickoff meeting

MLSysOps kickoff meeting


The Computer Systems Lab (CSL) at the University of Thessaly is coordinating MLSysOps, a large Horizon Europe project on “Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum”.

MLSysOps proposes a hierarchical AI architecture to optimize the underlying resource management and application orchestration mechanisms of the continuum.

Adaptivity will be achieved through continual ML model learning and intelligent retraining concurrently to application execution, while openness and extensibility will be supported through explainable ML methods and an API for pluggable ML models.

CSL is joined by 11 EU-based partners: University of Calabria, University College Dublin, Delft University of Technology, Fraunhofer Portugal, Inria (Lille, FR), NTT DATA Italia, Mellanox/NVIDIA (Israel), Nubis PC (Greece), Chocolate Cloud ApS (Denmark), Ubiwhere(Portugal), and Augmenta (Greece).

The project kickoff took place this week in the beautiful city of Volos and was hosted by the University of Thessaly. Project coordinator is Prof. Spyros Lalis.

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