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Active STUDENTSHIP UKRI Gateway to Research

Energy Efficient NFV Orchestration using Machine Learning


Funder Engineering and Physical Sciences Research Council
Recipient Organization University of Glasgow
Country United Kingdom
Start Date Jan 23, 2023
End Date Jul 23, 2026
Duration 1,277 days
Number of Grantees 2
Roles Student; Supervisor
Data Source UKRI Gateway to Research
Grant ID 2907997
Grant Description

"With the development of 5G technology, we now see the gradual realisation of broadband, ultra-reliable, and zero latency services. Network Function Virtualization (NFV) and Mobile Edge Computing (MEC) are important 5G elements, and an NFV enabled MEC network allows for movement of the Virtual Network Function (VNFs) from a distant cloud to an edge

network. At the same time, due to the rapid increment of network traffic demands and a focus of attention on energy consumption issues, there is a trend for much higher energy efficiency requirements. In order to satisfy such requirements we will consider the

deployment of VNFs as a network resource optimisation problem, aiming to allocate limited CPU, memory, and bandwidth while minimising the network-widew energy footprint of the ICT infrastructure."

All Grantees

University of Glasgow

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