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Energy Efficient NFV Orchestration using Machine Learning

Energy Efficient NFV Orchestration using Machine Learning
使用机器学习进行节能 NFV 编排
批准号:
2907997
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
"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 MobileEdge Computing (MEC) are important 5G elements, and an NFV enabled MEC networkallows for movement of the Virtual Network Function (VNFs) from a distant cloud to an edgenetwork. At the same time, due to the rapid increment of network traffic demands and a focusof attention on energy consumption issues, there is a trend for much higher energyefficiency requirements. In order to satisfy such requirements we will consider thedeployment 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."
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