Modelling Energy Efficiency of Next-Generation Networks. The focus of this project is to develop modelling techniques for energy consumption in next-generation telecommunication networks. A growing problem for telecommunication providers is how to minimise the energy consumption of their networks. This is important in reducing their operational expenditure and meeting the energy demands of future growth in network traffic. There is an emerging trend towards next-generation networks (such as 5G w ....Modelling Energy Efficiency of Next-Generation Networks. The focus of this project is to develop modelling techniques for energy consumption in next-generation telecommunication networks. A growing problem for telecommunication providers is how to minimise the energy consumption of their networks. This is important in reducing their operational expenditure and meeting the energy demands of future growth in network traffic. There is an emerging trend towards next-generation networks (such as 5G wireless and network function virtualisation), which will use highly dynamic network architectures. Project outcomes are intended to enable real-time management of energy usage, and the assessment of the financial benefits of different investment strategies in network infrastructure.Read moreRead less
Energy-Efficient Computing: Expanding the Role of Scheduling in Cloud Data Centres. Cloud data centres have become increasingly large-scale to meet ever increasing computing and storage capacity. The requirement of uninterrupted service availability has also contributed to such expansion. However, this relentless pursuit of high performance and high availability has led to serious resource over-provisioning and, in turn, low performance to energy consumption ratios. The impact of this poor resou ....Energy-Efficient Computing: Expanding the Role of Scheduling in Cloud Data Centres. Cloud data centres have become increasingly large-scale to meet ever increasing computing and storage capacity. The requirement of uninterrupted service availability has also contributed to such expansion. However, this relentless pursuit of high performance and high availability has led to serious resource over-provisioning and, in turn, low performance to energy consumption ratios. The impact of this poor resource management goes beyond the issue of cloud data centre efficiency, including excessive carbon footprint. This project aims to develop new energy-aware scheduling and resource allocation algorithms to provide energy-efficient solutions. These solutions exploit both workload and system diversity in cloud data centres.Read moreRead less