In this work we introduce two lean temporal index structures to efficiently support snapshot access (i.e., time-slice queries) in transaction-time databases. The two proposed structures, the RABTree and its RAB– Tree variant, are conceptually simple, easy to implement and efficient secondary index solutions. In particular, the RABTree index guarantees optimal performances for transaction-time data which are naturally clustered according to their insertion time without redundancy. A preliminary experimental evaluation of the two indexes is also provided.

Lean Index Structures for Snapshot Access in Transaction-time Databases / Fabio Grandi. - STAMPA. - (2014), pp. 91-100. (Intervento presentato al convegno 21st International Symposium on Temporal Representation and Reasoning (TIME 14) tenutosi a Verona (Italia) nel Settembre 2014) [10.1109/TIME.2014.10].

Lean Index Structures for Snapshot Access in Transaction-time Databases

GRANDI, FABIO
2014

Abstract

In this work we introduce two lean temporal index structures to efficiently support snapshot access (i.e., time-slice queries) in transaction-time databases. The two proposed structures, the RABTree and its RAB– Tree variant, are conceptually simple, easy to implement and efficient secondary index solutions. In particular, the RABTree index guarantees optimal performances for transaction-time data which are naturally clustered according to their insertion time without redundancy. A preliminary experimental evaluation of the two indexes is also provided.
2014
TIME 2014 - 21st International Symposium on Temporal Representation and Reasoning
91
100
Lean Index Structures for Snapshot Access in Transaction-time Databases / Fabio Grandi. - STAMPA. - (2014), pp. 91-100. (Intervento presentato al convegno 21st International Symposium on Temporal Representation and Reasoning (TIME 14) tenutosi a Verona (Italia) nel Settembre 2014) [10.1109/TIME.2014.10].
Fabio Grandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/297736
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