Scaling the performance and cost while scaling the load and resources in the cloud

Cloud computing is a paradigm that offers on-demand scalable resources with the “pay-per-usage” model. Price rises linearly as the resources scale. However, the main challenge for cloud customers is whether the performance is also scaling as the price for the resources. In this paper we analyze both the performance and the cost of a memory demanding web service. The experiments are based on measuring the performance and calculating the costs of rented CPU resources for different server loads, obtained by changing the message size and the number of concurrent messages. The results show that the lowest cost is obtained while the memory demanding service is hosted on two CPUs.