
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 4
July-August 2025
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A Theoretical Study On The Performance Characteristics Of Different Cloud Storage Access Protocols
Author(s) | Mr. Samit Banerjee, Prof. (Dr) Binod Kumar |
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Country | India |
Abstract | Cloud storage has become a cornerstone technology for modern data management, offering scalable, flexible, and accessible storage solutions across various applications. However, the performance of cloud storage systems largely depends on the access protocols used to interact with stored data. This paper presents a theoretical study that investigates the performance characteristics of different cloud storage access protocols, including RESTful APIs, WebDAV, FTP/SFTP, SMB, NFS, and gRPC-based protocols. By analysing their architectural designs, operational mechanisms, and performance implications, the study identifies the strengths and limitations of each protocol under various workload scenarios. The findings highlight that no single protocol excels universally; instead, protocol choice must align with specific application requirements, workload types, and deployment environments. This research contributes to a deeper understanding of how protocol design influences cloud storage performance, providing valuable insights for system architects and developers in selecting and optimizing access protocols. Finally, recommendations and future research directions are proposed to support more efficient, scalable, and reliable cloud storage solutions. |
Keywords | Cloud storage, Access protocols, RESTful APIs, WebDAV, FTP/SFTP, SMB, NFS, gRPC, Latency, Throughput, Scalability, Protocol overhead, Metadata operations, Consistency models, Fault tolerance, Stateless protocols, Stateful protocols, Binary serialization, Cloud-native applications, Distributed systems, High-concurrency workloads, Hybrid cloud, Protocol optimization, Performance evaluation. |
Field | Computer Applications |
Published In | Volume 7, Issue 4, July-August 2025 |
Published On | 2025-08-03 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i04.52726 |
Short DOI | https://doi.org/g9vzjw |
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E-ISSN 2582-2160

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