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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academica Brancusi
2024-05-01
|
| Series: | Fiabilitate şi Durabilitate |
| Subjects: | |
| Online Access: | 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850200280235245568 |
|---|---|
| author | Adrian RUNCEANU Mihaela-Ana RUNCEANU |
| author_facet | Adrian RUNCEANU Mihaela-Ana RUNCEANU |
| author_sort | Adrian RUNCEANU |
| collection | DOAJ |
| description | 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 distributed database environment through a case study focused on
university data management. By leveraging a well-defined database schema custom-made for
university information management, the study highlights the integration of dynamic allocation
strategies to efficiently manage faculties, departments, students, teachers, courses, and timetables.
Through this case study, the paper demonstrates the significance of dynamic allocation and
reallocation algorithms in enhancing data processing efficiency and optimizing resource
utilization within distributed database systems.
|
| format | Article |
| id | doaj-art-ee0a99156cce4cfabc1a984ceff18c3c |
| institution | OA Journals |
| issn | 1844-640X 2344-3669 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Academica Brancusi |
| record_format | Article |
| series | Fiabilitate şi Durabilitate |
| spelling | doaj-art-ee0a99156cce4cfabc1a984ceff18c3c2025-08-20T02:12:23ZengAcademica BrancusiFiabilitate şi Durabilitate1844-640X2344-36692024-05-01171270275OPTIMIZING UNIVERSITY DATABASE MANAGEMENT THROUGH DYNAMIC FRAGMENTATION AND REALLOCATION: A CASE STUDYAdrian RUNCEANU0Mihaela-Ana RUNCEANU1"Constantin Brâncuși" University of Târgu Jiu, ROMANIA"Ecaterina Teodoroiu" High College, Târgu Jiu, ROMANIADynamic 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 distributed database environment through a case study focused on university data management. By leveraging a well-defined database schema custom-made for university information management, the study highlights the integration of dynamic allocation strategies to efficiently manage faculties, departments, students, teachers, courses, and timetables. Through this case study, the paper demonstrates the significance of dynamic allocation and reallocation algorithms in enhancing data processing efficiency and optimizing resource utilization within distributed database systems. 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.pdfdistributed databasesalgorithmsdynamic allocationdatabase management toolnosql |
| spellingShingle | Adrian RUNCEANU Mihaela-Ana RUNCEANU OPTIMIZING UNIVERSITY DATABASE MANAGEMENT THROUGH DYNAMIC FRAGMENTATION AND REALLOCATION: A CASE STUDY Fiabilitate şi Durabilitate distributed databases algorithms dynamic allocation database management tool nosql |
| title | OPTIMIZING UNIVERSITY DATABASE MANAGEMENT THROUGH DYNAMIC FRAGMENTATION AND REALLOCATION: A CASE STUDY |
| title_full | OPTIMIZING UNIVERSITY DATABASE MANAGEMENT THROUGH DYNAMIC FRAGMENTATION AND REALLOCATION: A CASE STUDY |
| title_fullStr | OPTIMIZING UNIVERSITY DATABASE MANAGEMENT THROUGH DYNAMIC FRAGMENTATION AND REALLOCATION: A CASE STUDY |
| title_full_unstemmed | OPTIMIZING UNIVERSITY DATABASE MANAGEMENT THROUGH DYNAMIC FRAGMENTATION AND REALLOCATION: A CASE STUDY |
| title_short | OPTIMIZING UNIVERSITY DATABASE MANAGEMENT THROUGH DYNAMIC FRAGMENTATION AND REALLOCATION: A CASE STUDY |
| title_sort | optimizing university database management through dynamic fragmentation and reallocation a case study |
| topic | distributed databases algorithms dynamic allocation database management tool nosql |
| url | 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 |
| work_keys_str_mv | AT adrianrunceanu optimizinguniversitydatabasemanagementthroughdynamicfragmentationandreallocationacasestudy AT mihaelaanarunceanu optimizinguniversitydatabasemanagementthroughdynamicfragmentationandreallocationacasestudy |