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| 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 |
"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."
University of Glasgow
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