Abstract
There are applications which require the support of temporal data with branched time evolution, called branched-and-temporal data. In a branched-and-temporal database, both historic versions and current versions are allowed to be updated. We present an access method, the BTR-Tree, for branched-and-temporal databases with reasonable space and access time tradeoff. It is an index structure based on the BT-Tree 5. The BT-Tree always splits at a current version whenever a data page or an index page is full. The BTR-Tree is able to split at a previous version while still keeping the posting property that only one parent page needs to be updated. The splitting policy of the BTR-Tree is designed to reduce data redundancy in the structure introduced by branching. Performance results show that the BTR-Tree has better space efficiency and similar query efficiency than the BT-Tree, with no overhead in search and posting algorithm complexity.
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Jiang, L., Salzberg, B., Lomet, D., Barrena, M. (2003). The BTR-Tree: Path-Defined Version-Range Splitting in a Branched and Temporal Structure. In: Hadzilacos, T., Manolopoulos, Y., Roddick, J., Theodoridis, Y. (eds) Advances in Spatial and Temporal Databases. SSTD 2003. Lecture Notes in Computer Science, vol 2750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45072-6_3
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DOI: https://doi.org/10.1007/978-3-540-45072-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40535-1
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