Relation between the Temporal Database Environment and Disc Block Size

Abstract

Temporal databases are used to monitor states in the object, attribute, or group granularity. Performance of the data retrieval is a critical requirement, consisting of relevant data block identification, loading, and tuple extraction. Instance memory loading must always take the whole block. This paper deals with the impact of block size on the performance of temporal databases, by pointing to block fragmentation, expansion, and shrinking. It also points to the definition of block migration, if the tuple after the Update operation does not fit the original block.