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Data centre management and optimization for improved energy efficiency

Study level


Faculty/Lead unit

Topic status

We're looking for students to study this topic.


Professor Glen Tian
Division / Faculty
Science and Engineering Faculty


Cloud data centres have been increasingly built to provide a wide range of data, network and cloud services. The increasing demand in various services requires more data centre resources and consequently more energy is consumed in data centres.

It is estimated that about 30% of the running cost of a data centre is the energy consumption. Therefore, it is significant to manage and optimize data centre resources and energy consumption in data centres.

Research activities

The management and optimisation of data centres is through a process called virtualisation. Virtual resource management includes application assignment to virtual machines and virtual machine placement to physical machines. It can be described as bin-packing, which is a typical combinatorial optimisation.

New techniques and heuristics are to be developed to tackle the problems of:

  • application assignment to virtual machines
  • virtual machine placement to physical machines
  • quality of service maintenance for management of data centre resources for improved energy efficiency.


We expect to discover new approaches and algorithms for energy-efficient management of data centers through application assignment to virtual machines and virtual machine placement to physical machines.

Skills and experience

You should have skills in optimisation, big data computing and heuristics for solving complex problems to help us carry out the research.

An understanding of data centre management is desirable.


You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round



Contact the supervisor for more information.