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OPTIMIZING UNIVERSITY DATABASE MANAGEMENT THROUGH DYNAMIC FRAGMENTATION AND REALLOCATION: A CASE STUDY

Dynamic allocation and reallocation of data fragments in distributed databases, particularly in the context of NoSQL databases, are essential for optimizing performance and resource utilization. This paper explores the application of dynamic fragment allocation and reallocation algorithms in a di...

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Autores principales: Adrian RUNCEANU, Mihaela-Ana RUNCEANU
Formato: Artigo
Lenguaje:Inglês
Publicado: Academica Brancusi 2024-05-01
Colección:Fiabilitate şi Durabilitate
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Acceso en línea:https://www.utgjiu.ro/rev_mec/mecanica/pdf/2024-01/41_Adrian%20RUNCEANU,%20Mihaela-Ana%20RUNCEANU%20%20-%20OPTIMIZING%20UNIVERSITY%20DATABASE%20MANAGEMENT%20THROUGH%20DYNAMIC%20FRAGMENTATION%20AND%20REALLOCATION%20A%20CASE%20STUDY.pdf
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