International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

Distributed File Systems for Collaborative Data Access and Scalability

Author(s) Harikrishnan V J, Devansh Jindal, Harshdeep Singh Sandhu
Country India
Abstract This comprehensive research effort integrates insights from multiple studies addressing critical challenges in large-scale file system design and management across diverse domains, including cloud storage, grid computing, and clinical imaging. The first group of researchers proposes innovative approaches to metadata management and decentralized lookup systems tailored for ultra large-scale file systems, emphasizing scalability and adaptability. Another group introduces dynamic metadata distribution policies and protocols to optimize performance and ensure metadata consistency in distributed file systems and supercomputers. Additionally, strategies for enhancing file system reliability, fault tolerance, and resilience to network and hardware failures are explored, highlighting the effectiveness of approaches such as server replication and smart client fault tolerance methods.

In parallel, separate studies delve into challenges and solutions related to dispersed document frameworks, focusing on grid computing, the Hadoop Distributed File System (HDFS), and clinical imaging data management. Researchers discuss enhancements to protocols like NFSv4 for parallel access, scalability, and the reliability features of HDFS, as well as scaling file storage across geographically distributed locations using systems like IBM's GPFS. Optimization techniques for small file access in parallel file systems are examined, along with proposals for distributed file system-based architectures to efficiently store and retrieve clinical imaging data. Comparative evaluations of various distributed file systems underscore the importance of selecting appropriate systems based on specific application requirements.

Overall, this synthesis of research efforts underscores the evolving landscape of distributed file systems, addressing challenges related to scalability, performance optimization, security, and application-specific needs across diverse domains.
Keywords Large-scale file systems, cloud storage, grid computing, Hadoop Distributed File System (HDFS), scalability, clinical imaging, distributed document frameworks, performance optimization, metadata management, fault tolerance.
Field Engineering
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-16
Cite This Distributed File Systems for Collaborative Data Access and Scalability - Harikrishnan V J, Devansh Jindal, Harshdeep Singh Sandhu - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.17329
Short DOI

Share this