Overview
Topic status: We're looking for students to study this topic.
The ever increasing cloud computing has been resulting in ever increasing energy consumption and therefore overwhelming electricity bills. In addition, the ever increasing energy consumption may lead to dramatically increase in carbon dioxide emissions. So, it is desirable to make every possible effect to reduce the energy consumption in cloud computing.
The energy efficiency of cloud computing is determined by not only the energy efficiency of the hardware used in cloud computing, but also by the placement of SaaS applications in cloud computing. In cloud computing, a SaaS application is usually composed of several software components that may be deployed on different servers. The energy consumption of a server depends on the utilization rates of the CPU, main memory, I/O devices, and so on, and therefore different SaaS placements may result in different energy consumptions on the servers in cloud computing. Thus, SaaS placement directly affects the energy consumption in cloud computing. This research will propose a new SaaS placement optimization method which can minimize the energy consumption in cloud computing without compromising the QoS of the SaaS applications.
- Study level
- PhD, Masters
- Supervisors
- QUT
- Organisational unit
Science and Engineering Faculty
- Research area
- Contact
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Please contact the supervisor.
Dr Maolin Tang
