Edge Computing Architectures for Real-Time Data Processing in IoT Applications
DOI:
https://doi.org/10.63282/3050-922X.ICRCEDA25-123Keywords:
Edge Computing, Internet of Things, Real-Time Data Processing, Data Placement, Orchestration Services, Security Measures, Big Data Integration, IoT ArchitecturesAbstract
The proliferation of IoT devices has led to an exponential increase in data generation, necessitating efficient processing architectures. Edge computing, by enabling data processing at or near the data source, offers significant advantages in reducing latency and optimizing bandwidth usage. This paper provides a comprehensive overview of various edge computing architectures tailored for real-time data processing in IoT applications. We classify these architectures based on data placement strategies, orchestration services, security measures, and integration with big data technologies. Through detailed analysis and comparison, we highlight the strengths and limitations of each architecture, offering insights into their suitability for different IoT scenarios. Additionally, we discuss future research directions and open challenges in the realm of edge computing for IoT
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