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Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review.

Felipe Castro-Medina1, Lisbeth Rodríguez-Mazahua1, Asdrúbal López-Chau2

  • 1Tecnológico Nacional de México/I. T. Orizaba, Division of Research and Postgraduate Studies, Av. Oriente 9 852. Col. Emiliano Zapata, C.P. 94320 Orizaba, Mexico.

Entropy (Basel, Switzerland)
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This study reviews dynamic fragmentation in multimedia databases, highlighting challenges and cost models. It offers insights for administrators to improve database performance and reduce operational costs.

Keywords:
cost modeldynamic fragmentationhorizontal fragmentationhybrid fragmentationliterature reviewmultimedia fragmentationvertical fragmentation

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Area of Science:

  • Computer Science
  • Database Management

Background:

  • Multimedia databases present unique challenges due to large data sizes and evolving access patterns.
  • Fragmentation is a key technique for optimizing multimedia database performance by reducing response times and execution costs.

Purpose of the Study:

  • To conduct a comprehensive literature review on dynamic fragmentation in multimedia databases.
  • To identify key challenges, technologies, fragmentation types, and cost model characteristics.
  • To provide guidance for database administrators on effective fragmentation strategies.

Main Methods:

  • Systematic literature review of dynamic fragmentation techniques in multimedia databases.
  • Analysis of existing cost models and their characteristics.
  • Identification of common datasets and testing methodologies.

Main Results:

  • Existing fragmentation techniques often do not account for changing access patterns.
  • Cost models vary significantly, with a focus on reducing fragmentation costs.
  • A comprehensive overview of challenges, technologies, and cost model qualities is presented.

Conclusions:

  • Dynamic fragmentation is crucial for adapting multimedia databases to changing access patterns.
  • Further research is needed to develop robust cost models that incorporate diverse data qualities.
  • This review equips administrators with essential knowledge for optimizing multimedia database fragmentation schemes.