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Adaptable Pointer Swizzling Strategies in Object Bases: Design, Realization, and Quantitative Analysis.

Alfons Kemper, Donald Kossmann: Adaptable Pointer Swizzling Strategies in Object Bases: Design, Realization, and Quantitative Analysis. VLDB J. 4(3): 519-566(1995)
@article{DBLP:journals/vldb/KemperK95,
  author    = {Alfons Kemper and
               Donald Kossmann},
  title     = {Adaptable Pointer Swizzling Strategies in Object Bases: Design,
               Realization, and Quantitative Analysis},
  journal   = {VLDB J.},
  volume    = {4},
  number    = {3},
  year      = {1995},
  pages     = {519-566},
  ee        = {http://www.vldb.org/journal/VLDBJ4/P519.pdf},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

In this article, different techniques for "pointer swizzling" are classified and evaluated for optimizing the access to main-memory resident persistent objects. To speed up the access along inter-object references, the persistent pointers in the form of unique object identifiers (OIDs) are transformed (swizzled) into main-memory pointers (addresses). Pointer swizzling techniques can be divided into two classes: (1) those that allow replacement of swizzled objects from the buffer before the end of an application program, and (2) those that rule out the displacement of swizzled objects. The first class (i.e., techniques that take "precautions" for the replacement of swizzled objects) has not yet been thoroughly investigated. Four different pointer swizzling techniques allowing object replacement are investigated and compared with the performance of an object manager employing no pointer swizzling. The extensive quantitative evaluation - only part of which could be presented in this article - demonstrate that there is no one superior pointer swizzling strategy for all application profiles. Therefore, an adaptable object base run-time system is devised that employs the full range of pointer swizzling strategies, depending on the application profile characteristics that are determined by, for example, monitoring in combination with sampling, user specifications, and/or program analysis.

Copyright © 1995 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Key Words

Pointer swizzling, object-oriented database systems, performance evaluation.

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