DECICE

Device-Edge-Cloud Intelligent Collaboration framEwork

The DECICE project was created in response to an EU Horizon research and innovation programme calling for the development of a cognitive cloud system. Such a system should be able to integrate cloud, HPC and edge resources and optimize their usage. Furthermore, machine learning based schedulers will automatically optimize the placement of workloads across the heterogeneous hardware landscape managed by it. As part of this project, challenges must be solved regarding the integration of distinct hardware architectures into a unified platform as well as building a process for gathering metrics and finding near optimal scheduling decisions in a reasonable amount of time while also scaling to thousands of nodes across multiple data centers and countries.

Projekt Partner

• University Göttingen (Coordinator)
• GWDG
• E4
• KTH
• University Stuttgart
• HUAWEI Technologies Düsseldorf
• Forschung Burgendland
• SYNYO
• Marmara University
• TOP-IX
• University Bologna
• The Numerical Algorithms Group
• BIG TRI