Cost-Efficient Provisioning of Cloud Resources Priced by CPU Frequency

Cloud providers now offer resources that operate in a range of CPU frequencies giving users a large number of resource configurations to choose for their application needs. As higher CPU frequencies incur a higher monetary cost, users face the challenge of selecting the CPU frequencies that lead to cost-efficient configurations and strike a good balance between cost and performance. In this paper, an algorithm that achieves cost-aware provisioning by selecting different CPU frequencies for each resource in order to execute scientific workflows within a deadline is presented.