International Journal of Computer Techniques – Volume 12 Issue 2
Fog-Edge Synergy: A Novel Architecture for Real-Time IoT Data Processing and Analytics using Containerized Microservices
VG Prasuna
Professor, Department of CSE, Satya Institute Of Technology and Management
Vizianagaram, Andhra Pradesh, India
Email: drprasuna@sitam.co.in, Contact: +91 9885544492
Abstract
The proliferation of Internet of Things (IoT) devices has generated an unprecedented amount of data, necessitating real-time processing and analytics to unlock actionable insights. Fog Computing has emerged as a promising paradigm for bridging the gap between IoT devices and cloud computing, enabling real-time data processing and analytics. This paper proposes a novel Fog-Edge synergy architecture that leverages containerized microservices to optimize real-time IoT data processing and analytics. The proposed architecture integrates Fog Computing and Edge Computing to create a hierarchical and distributed computing framework. We evaluate the performance of the proposed architecture using real-world IoT datasets and applications, demonstrating significant improvements in latency, throughput, and scalability. Our results indicate that the proposed Fog-Edge synergy architecture is efficient in supporting real-time IoT data processing and analytics, paving the way for innovative applications in smart cities, industrial automation, and beyond.
Keywords
Fog Computing, Edge Computing, IoT, Real-Time Data Processing, Containerized Microservices, Synergy Architecture
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How to Cite
VG Prasuna, “Fog-Edge Synergy: A Novel Architecture for Real-Time IoT Data Processing and Analytics using Containerized Microservices,” International Journal of Computer Techniques, Volume 12, Issue 2, 2025. ISSN 2394-2231
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