ABSTRACT

A wide variety of different types of virtual computer are available in cloud computing, each with different usage costs for processing performance and time. Consequently, similar processing tasks can incur different processing times and processing costs depending on the choice of method used to accomplish them. Since the amounts of time and money that can be spent on processing are not infinite, the processing time and usage costs must be reduced as much as possible. In this study, we investigate the allocation of resources in a cloud computing environment with the aim of achieving lower processing times and usage costs.