A Comprehensive Study on the Edge-Based Distributed Database Systems for Real-Time IoT Data Management

With the exponential rise in Internet of Things (IoT) devices, the challenge of managing massive, continuous, and time-sensitive data at the edge has intensified. Traditional cloudbased systems often suffer from high latency, bandwidth limitations, and central point failures, making them suboptimal for real-time applications.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.15912935
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive Study on the Edge-Based Distributed Database Systems for Real-Time IoT Data Management

Zenodo (CERN European Organization for Nuclear Research)
Cloud Computing and Resource Management
article

A Comprehensive Study on the Edge-Based Distributed Database Systems for Real-Time IoT Data Management

article en

Abstract

With the exponential rise in Internet of Things (IoT) devices, the challenge of managing massive, continuous, and time-sensitive data at the edge has intensified. Traditional cloudbased systems often suffer from high latency, bandwidth limitations, and central point failures, making them suboptimal for real-time applications.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Cloud Computing and Resource Management
DOIOpen Access PDFOpenAlex
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A Comprehensive Study on the Edge-Based Distributed Database Systems for Real-Time IoT Data Management · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS