The use of information technology by companies and individuals in cloud computing revolutionizes. Cloud computing offers virtualized tools over the Internet for dynamic services. This ensures that end-users with resources-virtualization maintained and controlled can create, deploy and manage applications “on the cloud.” The preparation of tasks in cloud computing systems is one of the most challenging issues in fulfilling user-defined service quality while minimizing the cost of executing tasks. Several cost optimization approaches have been proposed to improve the economic aspect of task scheduling in cloud computing. A full analysis of approaches to promoting cost optimization in connection with task planning in cloud computing has not yet been published in the literature. This paper is intended to examine the problems of cost optimization in task scheduling through a detailed analysis of current task scheduling methods in cloud computing and to identify aspects and parameters of cost optimization.