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Cloud computing

Cloud Computing Research Aims to Improve Heatstroke Management

Strategic Insights

— 2 min read

Investigators at Guru Nanak Dev University have developed a fog-based framework designed to address the rising incidence of heatstroke through efficient, real-time healthcare solutions. The research team leveraged fog computing, cloud computing, and Internet of Things (IoT) sensors to overcome the limitations of traditional cloud computing in handling real-time IoT data. The framework integrates three layers: the IoT sensor layer collects health and other parameters related to heatstroke risk, the fog layer processes this data locally for immediate decision-making and alerts, and the cloud layer handles long-term data storage and conducts spatial network analysis to identify hotspots. This setup improves location awareness and service quality, essential for quickly diagnosing and managing heatstroke cases.

Key Takeaways:

  • The fog-based framework addresses the limitations of traditional cloud computing in handling real-time IoT data, leading to latency and spatial awareness issues.
  • The framework integrates three layers: IoT sensor layer, fog layer, and cloud layer, to provide real-time healthcare solutions for heatstroke management.
  • The fog layer processes data locally for immediate decision-making and alerts, reducing latency and improving service quality.
  • The cloud layer conducts spatial network analysis to identify hotspots, enabling the public health sector to use the framework for early detection and handling of heatstroke cases.
  • The research aims to improve patient outcomes and reduce the strain on healthcare systems by streamlining heatstroke management.
  • The framework provides key benefits like decreased latency and enhanced service quality, crucial for real-time healthcare applications.
  • The research team includes Shallu Duggal, Parminder Kaur, Mukesh Kumar, and Vivek Bhardwaj from Guru Nanak Dev University, and Manipal University Jaipur as financial supporters.
  • The framework can be used for early detection and handling of heatstroke cases, improving response times and reducing the impact of heatwaves on vulnerable populations.

Statistics:

  • 14 places in the top 25 cities of India are above 45°C resulting in heatstroke.
  • According to the research, heatstroke can cause cerebrovascular diseases and conditions, which can be fatal if not addressed promptly.
  • The fog-based framework aims to reduce latency by up to 90% and improve service quality.
  • The framework can handle up to 1000 IoT devices and process data in real-time.

Sources:

  • "IoT-enabled fog computing framework: heat stroke risk analysis." Journal of Cloud Computing: Advances, Systems and Applications 2025, 14(1): 1-19. (https://journalofcloudcomputing.springeropen.com).
  • NewsRx. New Cloud Computing Research Has Been Reported by Researchers at Guru Nanak Dev University (IoT-enabled fog computing framework: heat stroke risk analysis). Information Technology Newsweekly. October 21, 2025; p 419.

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