Autonomous Temporal Time Zone Management

With the increase in the amount of data, their heterogeneity, and scope, there is a legitimate demand to transform existing database systems to provide a robust, comprehensive, and performance-balanced environment to meet the needs of intelligent information systems. The principles and core part are significantly focused on moving existing systems to the cloud environment, which ensures performance and scalability. The complexity of the information system, decision making, and analytics perspective requires storing not only current valid data, but the whole evolution should be covered by proposing techniques of temporal databases. A significant problem can be, however, identified during the transformation related to the time zones. This paper deals with the temporal databases and covers the performance of the time zone management related to the autonomous transaction profiles.