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Edge Computing in Information Technology: Enhancing Real-Time Data Processing for IoT Applications

Author

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  • Zhang, Jianbing
  • Fan, Bo

Abstract

This paper reviews the significant role of edge computing in enhancing real-time data processing for Internet of Things (IoT) applications. With the exponential growth of IoT devices generating vast amounts of data, traditional cloud computing approaches face challenges related to latency, bandwidth, and scalability. Edge computing addresses these challenges by facilitating localized data processing, thereby reducing response times and improving decision-making efficiency. This review examines the definition, technical framework, and unique advantages of edge computing, along with its applications across various sectors, including smart cities, healthcare, and industrial IoT. Additionally, we discuss the security and privacy considerations associated with edge computing and explore future research directions. Ultimately, this paper underscores the transformative potential of edge computing in realizing the full capabilities of IoT technologies.

Suggested Citation

  • Zhang, Jianbing & Fan, Bo, 2024. "Edge Computing in Information Technology: Enhancing Real-Time Data Processing for IoT Applications," Artificial Intelligence and Digital Technology, Scientific Open Access Publishing, vol. 1(1), pages 1-19.
    • Handle: RePEc:axf:icssaa:v:1:y:2024:i:1:p:1-19
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