MLSysOps - Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum
The main objective of MLSysOps is to design, implement and evaluate a complete AI-controlled framework for autonomic end-to-end system management across the full cloud-edge continuum. MLSysOps will employ a hierarchical agent-based AI architecture to interface with the underlying resource management and application deployment/orchestration mechanisms of the continuum. Energy efficiency and utilization of green energy, performance, low latency, efficient, and trusted tier-less storage, cross-layer orchestration including resource-constrained devices, resilience to imperfections of physical networks, trust, and security, are key elements of MLSysOps addressed using ML models.
Dynamic adaptivity of system configuration will be achieved through continual ML model learning in conjunction with intelligent retraining concurrently to application execution, while openness and extensibility will be supported through explainable ML methods and an API for pluggable ML models. Flexible/efficient application execution on heterogeneous infrastructures and nodes will be enabled through innovative portable container-based technology. The framework will be evaluated using research testbeds as well as two real-world application-specific testbeds in the domain of smart cities and smart agriculture, which will also be used to collect the system-level data necessary to train and validate the ML models, while realistic system simulators will be used to conduct scale-out experiments.
MLSysOps is not only fully aligned with current trends towards the expansion of cloud infrastructure towards integration with smart and deep edge resources, but it also achieves substantial research contributions in the realm of AI-based system adaptation across the cloud-edge continuum by introducing advanced methods and tools to enable optimal system management and application deployment. The MLSysOps consortium is a balanced blend of academic/research and industry/SME partners, bringing together the necessary scientific and technological skills to ensure successful implementation and impact.
NEWS
New publication in POMACS
TUD's paper titled "Deep Dive into NTP Pool's Popularity and Mapping" has been published in…
New publication in Future Generation Computer Systems
UTH's paper titled "Fluidity: Providing flexible deployment and adaptation policy experimentation for serverless and distributed…
New publication in Computer Networks
TUD's paper titled "Tracking submarine cables in the wild" has been published in Computer Networks.
Talk at KubeCon + CloudNativeCon Europe 2024
Anastasios Nanos and Ioannis Plakas of Nubis gave a talk titled "Unikernels in K8s: Performance…
Talk at FOSDEM 2024
Georgios Ntoutsos and Ioannis Plakas gave a talk titled "From Containers to Unikernels: Navigating Integration…
Poster Presentation at HiPEAC 2024
UTH presented a poster on MLSysOps at the EU Projects Poster Session at HiPEAC 2024…
ENHANCE – HiPEAC workshop support
Prof. Spyros Lalis co-hosted the workshop "ENHANCE: Enabling Technologies and Dependability in Cyber-Physical Systems" that…
Presentation at HiPEAC – FORECAST
Aya Moheddine gave a talk on "A Possible Scenario to Study the Security of 5G…
Presentation at HiPEAC – STEADINESS
Prof. Nikolaos Bellas gave a talk on "Reconfigurable Architectures for Approximate Dense SLAM Computing in…
Article on HiPEAC Info magazine
Our article on "Self-managing systems from edge to cloud: The MLSysOps project" appeared on the…
Presentation at the HIPEAC FORECAST Workshop
MLSysOps will be present at the HIPEAC FORECAST Workshop with a speech on "A Possible…
Talk at the Horizon Europe Information and Brokerage Event
Anastassios Nanos gave a talk on "Unifying execution environments for the Cloud-Edge-IoT continuum" at the…
Presentation at the 8th Franco-Japanese Cybersecurity Workshop
Dr. Valeria Loscrì (INRIA) made a presentation on "Emerging Communication Technologies, Social Aspects and Legal…
MLSysOps support for the ENHANCE workshop
MLSysOps, along with the SMARTEDGE and TRANSACT projects is supporting the workshop "ENHANCE: Enabling Technologies…
2nd MLSysOps Plenary meeting
The 2nd MLSysOps Plenary meeting took place at the University of Calabria, Rende, Italy on…