Noralifah Binti Annuar

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About

Noralifah Binti Annuar is a researcher focused on the intersection of cloud computing and time-critical Internet of Things (IoT) systems. Her work addresses the pressing challenge of achieving ultra-low latency for real-time applications such as autonomous vehicles and robotic surgery, where even millisecond delays can have catastrophic consequences. In her most cited paper, "Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases" (2022, 9 citations), Annuar systematically examines how factors like artificial intelligence processing, network congestion, and data transmission protocols impact end-to-end latency in cloud-based IoT architectures. This foundational analysis provides crucial insights for designing more responsive and reliable infrastructure for mission-critical systems. Her research is particularly valuable as industries increasingly rely on cloud resources for real-time decision-making, bridging the gap between theoretical performance models and practical deployment challenges. Annuar's work contributes to the broader goal of making cloud computing viable for applications that demand instantaneous response times, positioning her as an emerging voice in the field of latency-sensitive IoT and edge-cloud integration.