Research on Reliability-aware Fog Computing focuses on designing fog systems that ensure dependable, continuous, and fault-tolerant service delivery in dynamic and resource-constrained edge environments. This area addresses challenges related to heterogeneous devices, intermittent connectivity, node failures, and variable workloads while maintaining Quality of Service (QoS) and Service Level Agreement (SLA) requirements. Key research directions include reliability-aware task scheduling and resource allocation, fault-tolerant and redundant service deployment, and predictive maintenance using machine learning for proactive failure mitigation. Other emerging topics involve multi-objective optimization balancing reliability, energy efficiency, and latency, edge–fog–cloud collaborative reliability frameworks, and resilient network protocols for distributed fog infrastructures. Additionally, research on context- and workload-aware reliability management, SLA-compliant fault detection and recovery mechanisms, and secure, dependable execution of mission-critical and IoT applications represents significant avenues for advancing robust and reliable fog computing systems.