Abstract :

The Fast Pace In The Development Of Cloud Computing Has Resulted In The Mass Transfer Of The Information In Geographically Distributed Data Centres. Some Of The Challenges That Continue To Affect Efficient Data Search And Retrieval Of Such Distributed Cloud Environment Have To Do With The Differences In Data Heterogeneity, Scalability, Latency And Security. In This Research Paper, The Author Suggests An Integrated Architecture That Will Facilitate Efficient, Reliable, And Seamless Search And Retrieval Of Data In The Distributed Cloud Systems. The Suggested Architecture Combines The Centralized Metadata Control System, The Distributed Indexing, The Intelligent Routing Of Queries, And The Secure Access Control Systems. The Architecture Brings Greater Precision In Search, Lowers The Efficiency Of Retrieval To Minimizing The Latency Of The System And Boosting The Overall Efficiency Of The System. The Paper Also Puts Into Focus The Way The Proposed Method Contributes To Solving The Shortcomings Of Models That Leverage Existing Models Of Cloud Data Retrieval And Offers Scalable And Easy-to-use Access To Data.

Published:

26-7-2025

Issue:

Vol. 25 No. 7 (2025)

Page Nos:

1000 - 1006

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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