Edge-to-Cloud Integration: Optimizing Latency, Security, and Scalability in Modern Enterprise Networks

This article presents a comprehensive framework for edge-to-cloud integration in modern enterprise networks, addressing the growing challenges posed by proliferating IoT devices and data-intensive applications. The architectural model strategically distributes computational workloads between edge devices and cloud platforms to optimize latency, security, and scalability. By examining the fundamental components of this hybrid architecture—including edge infrastructure, cloud integration mechanisms, and data flow management protocols—the article demonstrates how organizations can overcome the limitations inherent in purely cloud-based or edge-centric approaches. Performance optimization strategies, comprehensive security frameworks, and regulatory compliance mechanisms are detailed to provide a holistic understanding of implementation requirements. Case studies across manufacturing, healthcare, and smart city domains illustrate the practical applications and benefits of this architectural paradigm, demonstrating its transformative impact on operational efficiency, real-time responsiveness, and analytical capabilities.

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Publication Details

Journal
European Modern Studies Journal
Published
2025-08-11
DOI
https://doi.org/10.59573/emsj.9(4).2025.39
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

Edge-to-Cloud Integration: Optimizing Latency, Security, and Scalability in Modern Enterprise Networks

Vaibhav Anil Vora
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European Modern Studies Journal
IoT and Edge/Fog Computing
article

Edge-to-Cloud Integration: Optimizing Latency, Security, and Scalability in Modern Enterprise Networks

Vaibhav Anil Vora
article en

Abstract

This article presents a comprehensive framework for edge-to-cloud integration in modern enterprise networks, addressing the growing challenges posed by proliferating IoT devices and data-intensive applications. The architectural model strategically distributes computational workloads between edge devices and cloud platforms to optimize latency, security, and scalability. By examining the fundamental components of this hybrid architecture—including edge infrastructure, cloud integration mechanisms, and data flow management protocols—the article demonstrates how organizations can overcome the limitations inherent in purely cloud-based or edge-centric approaches. Performance optimization strategies, comprehensive security frameworks, and regulatory compliance mechanisms are detailed to provide a holistic understanding of implementation requirements. Case studies across manufacturing, healthcare, and smart city domains illustrate the practical applications and benefits of this architectural paradigm, demonstrating its transformative impact on operational efficiency, real-time responsiveness, and analytical capabilities.

European Modern Studies JournalVol. 9(4)
Amazon (United States) (US)
Openalex Percentile: Top 73%
IoT and Edge/Fog Computing
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Edge-to-Cloud Integration: Optimizing Latency, Security, and Scalability in Modern Enterprise Networks — Vaibhav Anil Vora · European Modern Studies Journal (2025) | TGRS Research Map | TGRS