by admin | Nov 6, 2024 | Machine learning
The ACES framework has the ambitious aim to revolutionize distributed cloud computing through advanced Machine Learning (ML) and Artificial Intelligence (AI) techniques. As far as ML and AI in ACES are concerned, we have identified three fundamental fields of...
by admin | Jun 24, 2024 | Cloud Edge
At the EUCEI final conference on 18.06.2024 the ACES project was conferred the Architecture award by EUCloudEdgeIoT. ACES envisions to build on our progressive insights for an innovative edge-cloud architecture, with this consortium, in future joint R&D...
by admin | Jun 24, 2024 | Cognitive Edge-Cloud Services
Last 14th April in Venice (IT), the ACES team won the Best Paper Award ADAPTIVE2024 with the paper: “Aged-based Modeling in the Edge Continuum using Swarm Intelligence”. Special thanks to Melanie Schranz, Kseniia Harshina, Peter Forgacs, Fred Buining. M....
by admin | Jun 24, 2024 | Software Network Functions
ACES team presented the paper: Automatic Parallelization of Software Network Functions at the NSD ’24 Open Access Conference Sponsored by King Abdullah University of Science and Technology (KAUST) in Santa Clara CA (USA). The presentation of the paper is available at:...
by admin | Jun 24, 2024 | Agent-Based Modeling, Cloud Edge
The Complexity of the Edge-Computing Infrastructure The rise of local processing capacity at the edge is driven by numerous advantages critical for future processing tasks. These benefits include enhanced security and reliability, as well as reduced latency and energy...
