A new variation of Overlapping B+-trees is presented, which provides efficient indexing of transaction time and keys in a two dimensional key-time space. Modification operations (i.e. insertions, deletions and updates) are allowed at the current version, whereas queries are allowed to any temporal version, i.e. either in the current or in past versions. Using this structure, snapshot and range-timeslice queries can be answered optimally. However, the fundamental objective of the proposed method is to deliver efficient performance in case of a general pure-key query (i.e. "history of a key"). The trade-off is a small increase in time cost for version operations and storage requirements
Conventional B-tree insertion algorithms typically require several disk accesses per insertion. This...
The multiversion B+-tree (MVBT) by Becker et al. assumes a single-data-item update model in which ea...
A number of emerging applications of data management technology involve the monitoring and querying ...
Transaction-time databases record all previous database states and are ever-growing, leading to pote...
Abstract—An efficient multiversion access structure for a transaction-time database is presented. Ou...
In this work we introduce two lean temporal index structures to efficiently support snapshot access ...
To support temporal operators and to increase the efficiency of temporal queries, indexing based on ...
We present an approach named MAP21 which uses standard B + -trees, in a multiple disks single proc...
Abstract. There are applications which require the support of temporal data with branched time evolu...
In this paper, we propose a new indexing structure, called the Time Index+, which extends the increm...
This paper studies aggregate search in transaction time databases. Specifically, each object in such...
none1noIn this work we introduce two lean temporal index structures to efficiently support snapshot ...
By supporting the valid and transaction time dimensions, bitemporal databases represent reality mor...
Overlapping and multi-version techniques are two popular frameworks that transform an ephemeral inde...
We present a practical and asymptotically optimal indexing structure for a versioned timestamped dat...
Conventional B-tree insertion algorithms typically require several disk accesses per insertion. This...
The multiversion B+-tree (MVBT) by Becker et al. assumes a single-data-item update model in which ea...
A number of emerging applications of data management technology involve the monitoring and querying ...
Transaction-time databases record all previous database states and are ever-growing, leading to pote...
Abstract—An efficient multiversion access structure for a transaction-time database is presented. Ou...
In this work we introduce two lean temporal index structures to efficiently support snapshot access ...
To support temporal operators and to increase the efficiency of temporal queries, indexing based on ...
We present an approach named MAP21 which uses standard B + -trees, in a multiple disks single proc...
Abstract. There are applications which require the support of temporal data with branched time evolu...
In this paper, we propose a new indexing structure, called the Time Index+, which extends the increm...
This paper studies aggregate search in transaction time databases. Specifically, each object in such...
none1noIn this work we introduce two lean temporal index structures to efficiently support snapshot ...
By supporting the valid and transaction time dimensions, bitemporal databases represent reality mor...
Overlapping and multi-version techniques are two popular frameworks that transform an ephemeral inde...
We present a practical and asymptotically optimal indexing structure for a versioned timestamped dat...
Conventional B-tree insertion algorithms typically require several disk accesses per insertion. This...
The multiversion B+-tree (MVBT) by Becker et al. assumes a single-data-item update model in which ea...
A number of emerging applications of data management technology involve the monitoring and querying ...