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Christian S. Jensen, Torben Bach Pedersen, Laurynas Speičys,'s Advances in Spatial and Temporal Databases: 8th PDF

By Christian S. Jensen, Torben Bach Pedersen, Laurynas Speičys, Igor Timko (auth.), Thanasis Hadzilacos, Yannis Manolopoulos, John Roddick, Yannis Theodoridis (eds.)

ISBN-10: 3540405356

ISBN-13: 9783540405351

This ebook constitutes the refereed court cases of the eighth foreign Symposium on Spatial and Temporal Databases, SSTD 2003, held at Santorini Island, Greece in July 2003.

The 28 revised complete papers provided including a keynote paper have been rigorously reviewed and chosen from one hundred and five submissions. the papers are geared up in topical sections on entry tools, complicated question processing, info mining and knowledge warehousing, distance-based queries, mobility and relocating issues administration, modeling and languages, similarity processing, platforms and implementation issues.

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Additional resources for Advances in Spatial and Temporal Databases: 8th International Symposium, SSTD 2003, Santorini Island, Greece, July 2003. Proceedings

Example text

The property that only version-splits not the key splits made after version splits could generate multiple parents is important in creating our new splitting method for the BTR-Tree. 3 Motivation for the BTR-Tree The performance of the BT-Tree is sensitive to the way branches are created. This is mainly because the BT-Tree always splits at a current version, no matter how branches are created. Branch creation affects the performance of the BT-Tree through those pages whose version range contains the start version of a branch.

The Index Page Splitting Strategy. Assume that the path r is followed to get to a data page D while trying to insert a new record variant. Subsequently, the data page D is split. The parent page of the data page D lying in the path r needs to be updated to reflect the split. As in the BT-Tree, this is achived by posting. If the page D is split at the current version (B, T ), we post (B, T ). If the page D is R-split, we post (Bstart , Tstart ), the start version of the split-off. When the posting make the index page (say, I) full, we split the index page I by looking at how the data page D was split: – If the data page D is split at the current version (B, T ), we split the index page I at the current version (B, T ), and post (B, T ).

Algorithm Bulk Load (binary) Algorithm Bulk Load (grid) (1) Create two sorted lists; (1) Create two sorted lists; (2) Build kd-tree top-down: (2) Build log2 t levels of the kd-tree: (a) Compute t grid lines orthogonal Starting with the root node, do to the x axis and t grid lines orthe following steps for each node, thogonal to the y axis; in a depth-first-search manner: (b) Create the grid matrix A contain(a) Find the partitioning line; ing the grid cell counts; (b) Distribute input into two sets, (c) Create a subtree of height log2 t, based on partitioning line; using the counts in the grid matrix; (d) Distribute input into t sets, corresponding to the t leaves; (3) Build the bottom levels either in main memory or by recursing step (2).

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Advances in Spatial and Temporal Databases: 8th International Symposium, SSTD 2003, Santorini Island, Greece, July 2003. Proceedings by Christian S. Jensen, Torben Bach Pedersen, Laurynas Speičys, Igor Timko (auth.), Thanasis Hadzilacos, Yannis Manolopoulos, John Roddick, Yannis Theodoridis (eds.)


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