Data Management in Hierarchical Database - Branches Notification

Current information system approaches require a database to manage data in a complex manner, to monitor the evolution and manage changes during the whole time spectrum. Several data architectures have been proposed with an emphasis on the data granularity. This paper deals with the temporal data changes management in a hierarchical database, where the whole access path branch must be notified if any change occurs. Thanks to that, individual changes are very effective to be identified and located. Our proposed solution originates from the self- relationship table and extends the principles with the opportunity to manage heterogeneous data streams with an opportunity to change the structure and references dynamically. In the first model, references are managed and notified using ROWIDs, the final solution uses object pointers based on the property of child object records covering the parents. Proposed solutions are implemented in intelligent transport system environment highlighting dynamics of electricity and hybrid vehicles and temporally changing environment

Temporal Database Architecture Enhancements

Database systems used in the past were characterized by storing only current valid states., which is not., however., optimal for intelligent systems and applications. Temporal paradigm allows us to delimit the object state with the time validity regarding the modeled granularity. Temporal systems are based on the extension of conventional approaches., which do not provide powerful solutions. Database server architecture is described with emphasis on the optimization options to improve and shorten the data retrieval process. In this paper., we attach significance to the migrated row., which forces the system to load multiple data blocks from the database into the memory. The solution., based on the evolution steps., is implemented using the mapping module inside the memory of the database instance