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OODB Indexing by Class-Division.

Sridhar Ramaswamy, Paris C. Kanellakis: OODB Indexing by Class-Division. SIGMOD Conference 1995: 139-150
@inproceedings{DBLP:conf/sigmod/RamaswamyK95,
  author    = {Sridhar Ramaswamy and
               Paris C. Kanellakis},
  editor    = {Michael J. Carey and
               Donovan A. Schneider},
  title     = {OODB Indexing by Class-Division},
  booktitle = {Proceedings of the 1995 ACM SIGMOD International Conference on
               Management of Data, San Jose, California, May 22-25, 1995},
  publisher = {ACM Press},
  year      = {1995},
  pages     = {139-150},
  ee        = {http://doi.acm.org/10.1145/223784.223809, db/conf/sigmod/sigmod95-10.html},
  crossref  = {DBLP:conf/sigmod/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Indexing a class hierarchy, in order to efficiently search or update the objects of a class according to a (range of) value(s) of an attribute, impacts OODB performance heavily. For this indexing problem, most systems use the class hierarchy index (CH) technique of of Kim etal implemented using B+ trees. Other techniques, can lead to improved average-case performance but involve the implementation of new data-structures, which are not as well-understood parts of database technology as B+ trees. As a special form of external dynamic two-dimensional range searching, this OODB indexing problem is solvable within reasonable worst-case bounds. Based on this insight, we have developed a technique, called indexing by class-division (CD), which we believe can be used as a practical alternative to CH. We present an optimized implementation and experimental validation of CD's average-case performance. The main advantages of the CD technique are: (1) CD is an extension of CH that provides a significant speed-up over CH for a wide spectrum of range queries -- this speed-up is at least linear in the number of classes queried for uniformly distributed data and larger otherwise; and (2) CD queries, updates and concurrent use are implementable using standard B+ tree technology. The basic idea of class-division involves a time-space tradeoff and CD requires some space and update overhead in comparison to CH. In practice, this overhead is a small factor (2 to 3) and, in worst-case, is bounded by the depth of the hierarchy and the logarithm of its size.

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Michael J. Carey, Donovan A. Schneider (Eds.): Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, San Jose, California, May 22-25, 1995. ACM Press 1995 BibTeX , SIGMOD Record 24(2), June 1995
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Referenced by

  1. Pankaj K. Agarwal, Lars Arge, Jeff Erickson: Indexing Moving Points. PODS 2000: 175-186
  2. Vasilis Samoladas, Daniel P. Miranker: A Lower Bound Theorem for Indexing Schemes and Its Application to Multidimensional Range Queries. PODS 1998: 44-51
  3. Elias Koutsoupias, David Scot Taylor: Tight Bounds for 2-Dimensional Indexing Schemes. PODS 1998: 52-58
  4. Thomas A. Mück, Martin L. Polaschek: A Configrable Type Hierarchy Index for OODB. VLDB J. 6(4): 312-332(1997)
  5. Thomas A. Mück, Martin L. Polaschek: The Multikey Type Index for Persistent Object Sets. ICDE 1997: 22-31
  6. Chee Yong Chan, Cheng Hian Goh, Beng Chin Ooi: Indexing OODB Instances based on Access Proximity. ICDE 1997: 14-21
  7. Thomas A. Mück, Martin L. Polaschek: Optimal Type Hierarchy Linearization for Queries in OODB. DASFAA 1997: 225-234
  8. Serge Abiteboul, Gabriel M. Kuper, Harry G. Mairson, Alexander A. Shvartsman, Moshe Y. Vardi: In Memoriam Paris C. Kanellakis. ACM Comput. Surv. 28(1): 3-15(1996)
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