Advances in Spatial and Temporal Databases: 8th by Christian S. Jensen, Torben Bach Pedersen, Laurynas Speičys, 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 booklet 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 prepared in topical sections on entry equipment, complicated question processing, information mining and knowledge warehousing, distance-based queries, mobility and relocating issues administration, modeling and languages, similarity processing, structures and implementation issues.

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

Sample text

We vary the fraction of updates versus insertions. No deletes are allowed. In these experiments, the height of the BTR-tree never rose above 3. (Consolidation algorithms (see [5]) have been designed to guarantee good version query performance in case of deletes. ) We first comment on the space utilization. Table 1 (Table 2) shows that comparison of total number of data pages (index pages) in each index structure. With the new split method, the number of data pages and index pages needed is smaller This is anticipated.

The algorithms for inserting and deleting a point are outlined in Figure 5. The simplest of the two is the deletion algorithm. We simply query each of the trees to find the tree Ti containing the point and delete it from Ti . Since there are at most log2 (N/M ) trees, the number of I/Os performed by a deletion is O(logB (N/B) log2 (N/M )). T 0M size M In main memory T0 size M T1 size 2 M T2 size 0 Ti size 2 i M On external storage Fig. 4. The forest of trees that makes up the data structure. In this instance, T2 is empty 54 Octavian Procopiuc et al.

Making data structures persistent. Journal of Computer and System Sciences, 38, pages 86–124, 1989. 29 [3] M. C. Easton. Key-sequence data sets on indelible storage. IBM J. Res. Development, 30(3):230–241, 1986. 29, 30 [4] G. Evangelidis, David Lomet, and B. Salzberg. The hB-Π -tree: A Multiattribute Index Supporting Concurrency, Recovery and Node Consolidation. VLDB Journal, 6(1), January 1997. 32 [5] Linan Jiang, Betty Salzberg, David Lomet, and Manuel Barrena. The BT-tree: A branched and temporal access method.

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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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