Read about the basic tenets of the MLSysOps project in the paper titled “Agents in the computing continuum: the MLSysOps perspective” which was presented at the 1st International Workshop on Machine Learning for Autonomic System Operation in the Device-Edge-Cloud Continuum (MLSysOps 2023) that took place in Rende, Italy on September 26, in conjunction with the International Conference on Embedded Wireless Systems and Networks (EWSN 2023).

The following papers were also presented:

“A Minimal Testbed for Experimenting with Flexible Resource and Application Management in Heterogeneous Edge-Cloud Systems”

“Reinforcement Learning Techniques for Optimizing System Configuration on the Cloud: A Taxonomy and Open Problems”

“Supporting the Adaptive Deployment of Modular Applications in Cloud-Edge-Mobile Systems”

“Transparent Handover of Automated Drone Missions between Edge-based Control Stations”

“AIRISC -A mmWave Angle-Insensitive Reconfigurable Intelligent Surface Communication System“

Misha Glazunov and Apostolis Zarras presented a paper titled “Vacant holes for unsupervised detection of the outliers in compact latent representation“, at the 39th Conference on Uncertainty in Artificial Intelligence which took place on July 31 – August 4 in Pittsburgh, PA, USA.

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.

Prof. Giancarlo Fortino gave a keynote talk titled “Integrating Machine Learning and Multi-Agent Systems for Fully Enabling Device-Edge-Cloud Continuum in Complex IoT Worlds” at The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023), June 19-22, 2023 – Valencia, Spain

G. Polychronis and S. Lalis of UTH presented a paper titled “Flexible Computation Offloading at the Edge for Autonomous Drones with Uncertain Flight Times” at the 19th IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things that took place on June 19-21 in Cyprus.

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

Prof. Christos Antonopoulos gave a talk on “ML-managed compute systems: From the node- to the datacenter-level and beyond” at the Greek ECE Student Conference (ESECON), Apr. 21-23, 2023, Volos, Greece.

Profs. Christos Antonopoulos, Nikos Bellas and Spyros Lalis also presented a poster at the conference describing the MLSysOps project.

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.

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 https://events.dimes.unical.it/mlsysops2023/

UNICAL’s latest paper on Edge Intelligence (EI) titled “Disclosing Edge Intelligence: a systematic meta-survey” has been published in Big Data and Cognitive Computing. It offers valuable insights of EI systems. A must-read for anyone interested in the topic!