secure and distributed orchestration micro-algorithms as services at the edge
Key Points
- DAIRNet Theme: Distributed Multi-Domain Networks
- University of New South Wales Canberra at the Australian Defence Force Academy
- Point of contact: Dr Nour Moustafa
This project, for the first time, suggests the development of Micro-Algorithms as Services (MAS) orchestration using Artificial Intelligence (AI) at the edge of a network. We propose an innovative paradigm, called (MAS-AS), which allows running and deploying distributed AI algorithms at the edge nodes. The MAS-AI paradigm will be the design of agile architecture and AI models, such as task scheduling, and data security-based privacy-preserving algorithms. To do this with the limited resources of the edge nodes, the proposed models will be implemented using the virtualization technology of multi-containers, such as vCenter, vSphere, and Linux containers, which outperforms the hypervisor technology like Xen and Microsoft Hyper-V.
