Using mathematical algorithms and the results of pulsar survey simulations, the University has begun developing more cost-effective Cloud computing models for IT departments.
The project's leader, Professor John Grundy, said the research was initially based on the electricity usage of large scale telescopes, however the next stage will involve applying potential energy savings to business applications.
"We wanted to look at the cost and energy consumption side of Cloud computing because Cloud is still an evolving technology, so for companies selling Cloud services, the cost model is evolving over time," Grundy said of the thinking behind applying the research to business IT issues.
"How do we figure out how much it's going to cost us to use our company data and how can we work out into the future if IT is going to cost more?"
The mathematical model works by factoring the size of initial datasets, the rates charged by a service provider, and has functionality to be altered to include the .