Research team | Results | Reports
The main scientific objective of COCO is to enable Cloud-to-Edge continuum computing. In particular, COCO intends to couple learning mechanisms (including federated learning) and intelligent resource discovery to achieve an adaptive hosting environment capable of running both on cloud and close to the edge. An open-source platform that demonstrates the concept will be a tangible outcome of the project.
Contract number: PCE 34/2021
Project identifier: Pn-III-P4-ID-PCE-2020-0407
Project type: Exploratory research project
PNIII Funding Programme: P4 – Fundamental and frontier research
Project duration: 1 Jan 2021 – 31 Dec 2023
Research Team
prof. Dana Petcu, PhD
project coordintator
Gabriel Iuhasz, PhD
researcher
Silviu Panica, PhD
researcher
Marian Neagul, PhD
researcher
Adrian Florin Spataru, PhD
researcher
Teodora Selea, PhD student
research assistant
Alexandru Munteanu, PhD student
research assistant
Results
CoCo goal was to couple federated machine learning and intelligent resource discovery to realise an adaptive hosting environment capable of working both in the Cloud and at the Edge. The results are presented in the reports below, demonstrating through experiments the viability of the proposed solution.