A taxonomic study: data placement strategies in cloud replication environments
Since the past decades, the data replication trend has not subsided; it is progressing rapidly from multiple perspectives to enhance cloud replication performance. Researchers are eagerly focusing on improving the strategies in various perceptions; unfortunately, the vulnerability in every strategy...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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The Science and Information Organization
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/118039/ http://psasir.upm.edu.my/id/eprint/118039/1/118039.pdf |
| _version_ | 1848867412704755712 |
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| author | Mohd Ali, Fazlina Mat Daud, Marizuana Nor Rashid, Fadilla Atyka Kamarudin, Nazhatul Hafizah Mohd Salleh, Syahanim Md Yunus, Nur Arzilawati |
| author_facet | Mohd Ali, Fazlina Mat Daud, Marizuana Nor Rashid, Fadilla Atyka Kamarudin, Nazhatul Hafizah Mohd Salleh, Syahanim Md Yunus, Nur Arzilawati |
| author_sort | Mohd Ali, Fazlina |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Since the past decades, the data replication trend has not subsided; it is progressing rapidly from multiple perspectives to enhance cloud replication performance. Researchers are eagerly focusing on improving the strategies in various perceptions; unfortunately, the vulnerability in every strategy is inevitable. A non-comprehensive replica strategy would have vulnerability and drawbacks. The drawbacks that usually reside in the developed strategies are not limited to high network usage, high process time, high response time, high storage consumption, and more, depending on the research areas. Many researchers are out of ideas to identify state-of-the-art issues. This exhaustive taxonomic study focused on analyzing the diversified contributions and limitations terrain of the cloud replication environment, focusing on data placement strategies. It seeks to delve deeply into its fundamental strategy, practical implementations, and the intricate challenges it poses. Concerning the imminent cloud-driven future, this structured review paper is a vital resource for researchers, policymakers, and industry professionals grappling with the complexities of this emerging paradigm. By illuminating the intricacies of data replication strategies, this study fosters a deeper appreciation for the transformative potential and the multifaceted challenges ahead of cloud data replications. |
| first_indexed | 2025-11-15T14:36:05Z |
| format | Article |
| id | upm-118039 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:36:05Z |
| publishDate | 2024 |
| publisher | The Science and Information Organization |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1180392025-06-23T04:37:36Z http://psasir.upm.edu.my/id/eprint/118039/ A taxonomic study: data placement strategies in cloud replication environments Mohd Ali, Fazlina Mat Daud, Marizuana Nor Rashid, Fadilla Atyka Kamarudin, Nazhatul Hafizah Mohd Salleh, Syahanim Md Yunus, Nur Arzilawati Since the past decades, the data replication trend has not subsided; it is progressing rapidly from multiple perspectives to enhance cloud replication performance. Researchers are eagerly focusing on improving the strategies in various perceptions; unfortunately, the vulnerability in every strategy is inevitable. A non-comprehensive replica strategy would have vulnerability and drawbacks. The drawbacks that usually reside in the developed strategies are not limited to high network usage, high process time, high response time, high storage consumption, and more, depending on the research areas. Many researchers are out of ideas to identify state-of-the-art issues. This exhaustive taxonomic study focused on analyzing the diversified contributions and limitations terrain of the cloud replication environment, focusing on data placement strategies. It seeks to delve deeply into its fundamental strategy, practical implementations, and the intricate challenges it poses. Concerning the imminent cloud-driven future, this structured review paper is a vital resource for researchers, policymakers, and industry professionals grappling with the complexities of this emerging paradigm. By illuminating the intricacies of data replication strategies, this study fosters a deeper appreciation for the transformative potential and the multifaceted challenges ahead of cloud data replications. The Science and Information Organization 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/118039/1/118039.pdf Mohd Ali, Fazlina and Mat Daud, Marizuana and Nor Rashid, Fadilla Atyka and Kamarudin, Nazhatul Hafizah and Mohd Salleh, Syahanim and Md Yunus, Nur Arzilawati (2024) A taxonomic study: data placement strategies in cloud replication environments. International Journal of Advanced Computer Science and Applications, 15 (11). pp. 825-840. ISSN 2156-5570; eISSN: 2158-107X https://thesai.org/Publications/ViewPaper?Volume=15&Issue=11&Code=ijacsa&SerialNo=82 10.14569/ijacsa.2024.0151182 |
| spellingShingle | Mohd Ali, Fazlina Mat Daud, Marizuana Nor Rashid, Fadilla Atyka Kamarudin, Nazhatul Hafizah Mohd Salleh, Syahanim Md Yunus, Nur Arzilawati A taxonomic study: data placement strategies in cloud replication environments |
| title | A taxonomic study: data placement strategies in cloud replication environments |
| title_full | A taxonomic study: data placement strategies in cloud replication environments |
| title_fullStr | A taxonomic study: data placement strategies in cloud replication environments |
| title_full_unstemmed | A taxonomic study: data placement strategies in cloud replication environments |
| title_short | A taxonomic study: data placement strategies in cloud replication environments |
| title_sort | taxonomic study: data placement strategies in cloud replication environments |
| url | http://psasir.upm.edu.my/id/eprint/118039/ http://psasir.upm.edu.my/id/eprint/118039/ http://psasir.upm.edu.my/id/eprint/118039/ http://psasir.upm.edu.my/id/eprint/118039/1/118039.pdf |