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

Authors

  • Jianbing Zhang Graduate school University of the east, Manila, Philippines Author
  • Bo Fan Graduate school University of the east, Manila, Philippines Author

DOI:

https://doi.org/10.70088/3852aq53

Keywords:

edge computing, Internet of Things (IoT), real-time data processing, latency reduction, smart cities, healthcare IoT, industrial IoT, security and privacy, future research directions

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.

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Published

2024-10-09

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Section

Article

How to Cite

Edge Computing in Information Technology: Enhancing Real-Time Data Processing for IoT Applications. (2024). Insights in Computer, Signals and Systems, 1(1), 1-19. https://doi.org/10.70088/3852aq53