A BIBLIOMETRIC ANALYSIS: AI-DRIVEN DATA PLACEMENT OPTIMIZATION IN CLOUD REPLICATION ENVIRONMENTS

Authors

  • Fazlina Mohd Ali Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Malaysia
  • Marizuana Mat Daud Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Malaysia
  • Nurhidayah Bahar Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Malaysia
  • Syahanim Mohd Salleh Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Malaysia
  • Fadilla ‘Atyka Nor Rashid Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Malaysia
  • Nur Arzilawati Md Yunus Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor, Malaysia

DOI:

https://doi.org/10.35631/JISTM.937007

Keywords:

Artificial Intelligence, Bibliometric, Cloud Computing, Data Placement, Replication Strategies

Abstract

Data placement strategy using artificial intelligence (AI) in cloud replication environments has garnered significant attention in recent years. Several studies have examined this area, aiming to enhance data replication techniques by integrating AI algorithms. There is still a minimum number of studies that have discovered the trending of the existing literature that reveals cloud replication leveraging artificial intelligence techniques in the current body of knowledge. This study explores this field's significance and relevance through a bibliometric analysis, particularly its integration with artificial intelligence (AI) techniques. The study highlights key trends and developments, highlighting the collaborative potential between cloud replication and AI technologies. The outcome of this study contributes to practitioners and researchers in evaluating and identifying potential areas for future exploration in AI-driven data placement optimization in cloud replication environments.

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Published

2024-12-11

How to Cite

Fazlina Mohd Ali, Marizuana Mat Daud, Nurhidayah Bahar, Syahanim Mohd Salleh, Fadilla ‘Atyka Nor Rashid, & Nur Arzilawati Md Yunus. (2024). A BIBLIOMETRIC ANALYSIS: AI-DRIVEN DATA PLACEMENT OPTIMIZATION IN CLOUD REPLICATION ENVIRONMENTS. JOURNAL INFORMATION AND TECHNOLOGY MANAGEMENT (JISTM), 9(37). https://doi.org/10.35631/JISTM.937007

Issue

Vol. 9 No. 37 (2024): Volume: 9 Issues: 37 [December, 2024]

Section

Articles