IEEE ComSoc Sister Chapters 2025 Lecture Series - HTTP/3 Based Local Cloud to Improve Smart Home in to Underserved Regions
This lecture explores enhancing and securing smart home devices through edge and hybrid cloud systems using HTTP/3. HTTP/3, the latest HTTP protocol, improves on predecessors by using UDP-based transport, allowing lightweight, efficient data transmission and eliminating the TCP three-way handshake. These features make HTTP/3 promising for IoT applications, overcoming limitations of current protocols like HTTP and CoAP. By leveraging edge computing to reduce latency through local data processing and containerization technologies, this research deploys a localized cloud within smart homes using Raspberry Pi clusters with Nextcloud and Home Assistant. This setup addresses privacy concerns, reduces external network dependence, and improves performance, especially in rural and underserved areas. Through literature review and practical implementation, this work evaluates HTTP/3’s effectiveness in smart home environments, proposing a resilient architecture integrating edge and cloud computing to improve latency, resource use, and energy efficiency. The lecture also includes security measures for HTTP/3 in cloud environments, ensuring robust performance and secure data exchange.
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- Co-sponsored by LaRRIS (Laboratoire de Recherche en Réseaux, Informatique et Sécurité) - Faculty of Sciences - Lebanese University
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Dr. Jacob Koch
HTTP/3 Based Local Cloud to Improve Smart Home Performance, Security, and Extend Functionality to Underserved Regions
This presentation explores enhancing and securing smart home devices through edge and hybrid cloud systems using HTTP/3. HTTP/3, the latest HTTP protocol, improves on predecessors by using UDP-based transport, allowing lightweight, efficient data transmission and eliminating the TCP three-way handshake. These features make HTTP/3 promising for IoT applications, overcoming limitations of current protocols like HTTP and CoAP. By leveraging edge computing to reduce latency through local data processing and containerization technologies, this research deploys a localized cloud within smart homes using Raspberry Pi clusters with Nextcloud and Home Assistant. This setup addresses privacy concerns, reduces external network dependence, and improves performance, especially in rural and underserved areas. Through literature review and practical implementation, this work evaluates HTTP/3’s effectiveness in smart home environments, proposing a resilient architecture integrating edge and cloud computing to improve latency, resource use, and energy efficiency. The presentation also includes security measures for HTTP/3 in cloud environments, ensuring robust performance and secure data exchange.
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