DOEF: A Dynamic Object Evaluation Framework

@inproceedings{He2003DOEFAD,
  title={DOEF: A Dynamic Object Evaluation Framework},
  author={Zhen He and J{\'e}r{\^o}me Darmont},
  booktitle={International Conference on Database and Expert Systems Applications},
  year={2003}
}
  • Zhen HeJ. Darmont
  • Published in
    International Conference on…
     1 September 2003
  • Computer Science
In object-oriented or object-relational databases such as multimedia databases or most XML databases, access patterns are not static, i.e., applications do not always access the same objects in the same order repeatedly. However, this has been the way these databases and associated optimisation techniques like clustering have been evaluated up to now. This paper opens up research regarding this issue by proposing a dynamic object evaluation framework (DOEF) that accomplishes access pattern… 
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4 Citations
Background Citations
1
Methods Citations
2

4 Citations

Evaluating the Dynamic Behavior of Database Applications

The results confirm the analysis that flexible conservative reclustering is the key in determining a clustering algorithm’s ability to adapt to changes in access pattern and show the effectiveness of DoEF at determining the adaptability of each dynamic clustering algorithms to changes to access pattern in a simulation environment.

Conception d'un banc d'essais décisionnel

The Data Warehouse Engineering Benchmark (DWEB) allows to generate various ad -hoc synthetic data warehouses and workloads and is complimentary to the TPC standard benchmarks, and not a competitor.

Opportunistic prioritised clustering framework for improving OODBMS performance

Object Database Benchmarks

  • J. Darmont
  • Computer Science
    Encyclopedia of Information Science and Technology
  • 2005
Benchmarks are generally used to compare the global performance of OODBMSs, but they can also be exploited to illustrate the advantages of one system or another in a given situation, or to determine an optimal hardware configuration.

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