A Scalable Hybrid Edge-Cloud Approach to Minimizing Latency in IoT Applications

International Journal of Computational and Experimental Science and Engineering, Journal Year: 2025, Volume and Issue: 11(2)

Published: April 13, 2025

The increasing reliance on IoT applications demands efficient, scalable solutions to address latency, a critical factor in time-sensitive operations. Hybrid Edge-Cloud approaches leverage the strengths of both edge and cloud computing optimize performance ensure seamless connectivity. However, existing methods often struggle with excessive latency due resource allocation inefficiencies, limited device capabilities, network congestion. This study proposes model based Scalable Approach (SHECA) framework, designed mitigate these challenges applications. SHECA integrates for real-time data processing storage, advanced analytics, long-term decision-making. By dynamically distributing computational loads leveraging intelligent allocation, framework significantly reduces enhances system responsiveness. findings demonstrate that average by 35% compared traditional cloud-only methods, ensuring faster response times, scalability, improved user experience hybrid solution offers robust approach minimization diverse scenarios.

Language: Английский

The journey to cloud as a continuum: Opportunities, challenges, and research directions

ICT Express, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский