E-Cloud Collaborative Framework for Real-Time Iot Data Processing

Abstract

The growing ubiquity of Internet of Things (IoT) devices has revolutionized the way data is generated and consumed. Traditional cloud-based solutions, though powerful in storage and computation, often fall short in meeting the real-time demands of latency-sensitive applications. This paper introduces an E-Cloud Collaborative Framework, a hybrid architecture combining edge computing with cloud resources to enable real-time IoT data processing. The proposed framework mitigates network congestion, reduces latency, and optimizes bandwidth usage. The paper explores its design, implementation, and performance through case studies in smart transportation and smart healthcare systems, demonstrating the practical viability of edge-cloud synergy.

Keywords: Edge computing, cloud computing, latency reduction, real-time analytics, IoT, smart cities, bandwidth optimization, hybrid architecture