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Edge/Fog Computing Technologies for IoT Infrastructure II
Taehong Kim1, Seong-Eun Yoo2, Youngsoo Kim3
1School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.
Sensors (Basel, Switzerland)
|April 28, 2023
Summary
The rise of smart devices and cloud computing generates vast amounts of Internet of Things (IoT) data. Efficient data management is crucial for harnessing IoT
Area of Science:
- Computer Science
- Data Science
- Internet of Things
Background:
- The proliferation of smart devices and cloud computing has resulted in an exponential increase in data generated by Internet of Things (IoT) ecosystems.
- This data surge presents significant challenges for storage, processing, and analysis.
Discussion:
- Effective data management strategies are essential to leverage the potential of IoT-generated data.
- Exploring novel approaches for handling large-scale, heterogeneous IoT data is critical for technological advancement.
Key Insights:
- The sheer volume of IoT data necessitates advanced solutions beyond traditional data management techniques.
- Understanding the characteristics and patterns within IoT data is key to unlocking its value.
Outlook:
- Future research should focus on developing scalable and efficient frameworks for IoT data processing and analytics.
- Continued innovation in cloud computing and edge computing will play a vital role in managing the future data deluge from IoT devices.
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