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This research's leading technical and breakthrough emphasis is to develop a network slicing solution that provides orchestration and allocation of resources in multi-domain experimentation network infrastructures.
Machine learning techniques will assist slicing in multi-domain network infrastructures to provide near-automatic resource identification and allocation.
KEYWORDS:
KEYWORDS:
Multi-domain Slicing, Slice-as-a-Service, Experimental Testbed, ML-assisted Resource Orchestration, ML-assisted Resource Allocation, Self-driving Network, Energy Efficiency, Future Internet.
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