A New Method of Dynamic Horizontal Fragmentation for Multimedia Databases Contemplating Content-Based Queries

Author:

Castro-Medina Felipe,Rodríguez-Mazahua LisbethORCID,López-Chau AsdrúbalORCID,Cervantes Jair,Alor-Hernández Giner,Machorro-Cano Isaac,Arrioja-Rodríguez Mario Leoncio

Abstract

The proper storage and management of multimedia data is a topic of great interest to industry and academia. Database fragmentation plays a fundamental role as a mechanism to guarantee cost reduction and improve response time performance in distributed data management environments. Multimedia database access patterns are constantly changing; due to this, it is important that the partitioning schemes also adapt to these changes. Dynamic fragmentation techniques offer this advantage and represent a reduction of the tasks that an administrator must perform and the complete autonomy to determine when to carry out a new fragmentation based on a cost model. This work proposes a new method of dynamic horizontal fragmentation for multimedia databases, including a way to contemplate content-based queries in the creation of new fragments. The use of content-based queries is on the rise, as multimedia elements are often presented within databases, and for this reason new fragmentation strategies must include this aspect to provide better-performing schemas. The method included in this research is placed within a current web application called XAMANA. We performed some experiments to demonstrate the effectiveness of our approach.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimizing Multi-Media Database Performance: A Comprehensive Review of Fragmentation Methods and Dynamic Access Patterns;2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS);2023-11-21

2. WITHDRAWN: Efficient fragmentation and allocation on clustering in distributed environment (FACE);Measurement: Sensors;2023-11

3. Towards Improving Cloud Security and Performance by using Proposed Controlled Replication Model;2022 International Conference on Computer, Power and Communications (ICCPC);2022-12-14

4. Hybrid Data Fragmentation Using Genetic Killer Whale Optimization-Based Clustering Model;Journal of Pharmaceutical Negative Results;2022-01-01

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