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Data centre management and optimisation with improved energy efficiency

Study level

PhD

Master of Philosophy

Honours

Faculty/Lead unit

Topic status

We're looking for students to study this topic.

Supervisors

Professor Glen Tian
Position
Professor
Division / Faculty
Science and Engineering Faculty

Overview

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 and more data centre resources and consequently more and 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

New techniques are to be developed to tackle the problems of task assignment to virtual machines, virtual machine placement to physical machines, and QoS maintenance for management of data centre resources with improved energy efficiency.

Outcomes

Expected outcomes include new approaches and algorithms for energy-efficient management of data centers through task assignment to virtual machines and virtual machine placement to physical machines.

Skills and experience

Skills in optimisation, big data computing, and heuristics for solving complex problems is essential to carry out the research. An understanding of data centre management is desirable.

Scholarships

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

Annual scholarship round

Keywords

Contact

Contact the supervisor for more information.