Survey Based on Edge Structured File Systems in Edge Computing

Edge Structured File systems (ESFs) are distributed file systems designed to provide efficient and reliable storage solutions in edge computing environments. By employing distributed and decentralized designs, these file systems address specific challenges such as limited resources, inconsistent connectivity, and fluctuating network conditions, resulting in quicker access times, reduced latency, and enhanced resilience. ESFs adapt to dynamic edge settings through flexible data placement tactics, network congestion detection and resolution, and seamless integration with cloud-based storage systems. These techniques enable data portability and, when necessary, the outsourcing of computation-intensive operations to the cloud. Overall, edge-computing ecosystems rely on ESFs to deliver optimal performance, resilience, and data availability. The article discusses several studies on edge-structured file systems, highlighting their features and limitations of previous works. Furthermore, it identifies requirements and discusses research challenges in edge computing, laying the groundwork for future advancements in this rapidly evolving field. By providing insights into the state-of-the-art technologies, features, and limitations of ESFs, as well as their broader implications for edge computing, this article aims to offer valuable guidance to researchers, practitioners, and stakeholders interested in harnessing the full potential of edge computing technologies.

Authors

Institutions

Publication Details

Journal
Tehnički glasnik
Published
2025-04-07
DOI
https://doi.org/10.31803/tg-20240111081254
Primary Topic
Innovation in Digital Healthcare Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Survey Based on Edge Structured File Systems in Edge Computing

Ripon Patgiri, R. Rajesh
Tehnički glasnik
Innovation in Digital Healthcare Systems
article

Survey Based on Edge Structured File Systems in Edge Computing

Ripon Patgiri, R. Rajesh
article en

Abstract

Edge Structured File systems (ESFs) are distributed file systems designed to provide efficient and reliable storage solutions in edge computing environments. By employing distributed and decentralized designs, these file systems address specific challenges such as limited resources, inconsistent connectivity, and fluctuating network conditions, resulting in quicker access times, reduced latency, and enhanced resilience. ESFs adapt to dynamic edge settings through flexible data placement tactics, network congestion detection and resolution, and seamless integration with cloud-based storage systems. These techniques enable data portability and, when necessary, the outsourcing of computation-intensive operations to the cloud. Overall, edge-computing ecosystems rely on ESFs to deliver optimal performance, resilience, and data availability. The article discusses several studies on edge-structured file systems, highlighting their features and limitations of previous works. Furthermore, it identifies requirements and discusses research challenges in edge computing, laying the groundwork for future advancements in this rapidly evolving field. By providing insights into the state-of-the-art technologies, features, and limitations of ESFs, as well as their broader implications for edge computing, this article aims to offer valuable guidance to researchers, practitioners, and stakeholders interested in harnessing the full potential of edge computing technologies.

Tehnički glasnikVol. 19(2)
National Institute Of Technology Silchar (IN)
Openalex Percentile: Top 92%
Innovation in Digital Healthcare Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Survey Based on Edge Structured File Systems in Edge Computing — Ripon Patgiri, R. Rajesh · Tehnički glasnik (2025) | TGRS Research Map | TGRS