An Improvement to FRAGMENT: A Web Application for Database Fragmentation, Allocation, and Replication Over a Cloud Environment

Castro-Medina, Felipe; Rodríguez-Mazahua, Lisbeth; López-Chau, Asdrúbal; Alor-Hernández, Giner; Juárez-Martínez, Ulises; Sánchez-Ramírez, Cuauhtémoc

doi:10.1007/978-981-16-1781-2_60

Proceedings of Sixth International Congress on Information and Communication Technology

2021

DOI: 10.1007/978-981-16-1781-2_60

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An Improvement to FRAGMENT: A Web Application for Database Fragmentation, Allocation, and Replication Over a Cloud Environment

Felipe Castro-Medina

Lisbeth Rodríguez-Mazahua

Asdrúbal López-Chau

et al.

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On hierarchical clustering-based approach for RDDBS design

Abdalla,

Amer,

Ravana

2023

J Big Data

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Distributed database system (DDBS) design is still an open challenge even after decades of research, especially in a dynamic network setting. Hence, to meet the demands of high-speed data gathering and for the management and preservation of huge systems, it is important to construct a distributed database for real-time data storage. Incidentally, some fragmentation schemes, such as horizontal, vertical, and hybrid, are widely used for DDBS design. At the same time, data allocation could not be done without first physically fragmenting the data because the fragmentation process is the foundation of the DDBS design. Extensive research have been conducted to develop effective solutions for DDBS design problems. But the great majority of them barely consider the RDDBS's initial design. Therefore, this work aims at proposing a clustering-based horizontal fragmentation and allocation technique to handle both the early and late stages of the DDBS design. To ensure that each operation flows into the next without any increase in complexity, fragmentation and allocation are done simultaneously. With this approach, the main goals are to minimize communication expenses, response time, and irrelevant data access. Most importantly, it has been observed that the proposed approach may effectively expand RDDBS performance by simultaneously fragmenting and assigning various relations. Through simulations and experiments on synthetic and real databases, we demonstrate the viability of our strategy and how it considerably lowers communication costs for typical access patterns at both the early and late stages of design.

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On hierarchical clustering-based approach for RDDBS design

Abdalla,

Amer,

Ravana

2023

J Big Data

View full text Add to dashboard Cite

show abstract

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An Improvement to FRAGMENT: A Web Application for Database Fragmentation, Allocation, and Replication Over a Cloud Environment

Cited by 1 publication

References 9 publications

On hierarchical clustering-based approach for RDDBS design

On hierarchical clustering-based approach for RDDBS design

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