Table 4 Evaluation of smart learning framework connectivity resilience. Compare uptime percentages and reconnection delays, and SLICED has the strongest operational resilience and fastest recovery, exceeding IoT and cloud-based techniques.
From: SLICED: A secure and adaptive cloud–iot framework for low-latency e-learning environments
Method | Connectivity Resilience (Uptime%)/Reconnection Delay (s) | Relevant/Impact |
|---|---|---|
SL-IoT | 90% uptime/3 s delay | Vulnerable to network disruptions, limited to local connectivity. |
LMS-IoT | 92% uptime/2.5s delay | Improved resilience, and still dependent on cloud availability. |
PEF-En | 88% uptime/4 s delay | Struggles with weak network, longer reconnection times. |
R-BEC | 85% uptime/5 s delay | Poor resilience to network instability and delays in reconnection. |
H-Ed-AI | 91% uptime/2.7s delay | Moderate resilience, and performance degrades in poor conditions. |
Cc-ELn | 87% uptime/4.5s delay | Network resilience challenges, especially in low bandwidth regions. |
Azure IoT | 96% uptime/1.8s delay | Advanced cloud-based redundancy with per-device recovery, rapid reconnection in hybrid mode. |
Google Cloud IoT | 94% uptime/2 s delay | Strong global network; effective fail-over and automated scaling, moderate reconnection. |
SLICED | 98% uptime/1 s delay | Excellent resilience, real-time recovery even in weak network conditions. |
