A Survey on Resource Management Solutions, Challenges, and Emerging Opportunities in Fog Computing

Abstract

Fog computing positions computation and storage resources in close proximity to data sources, promisingmillisecond-scale responsiveness and data handling that the distant cloud cannot deliver. Over the pastdecade, researchers have proposed a constellation of mechanisms such as virtualisation, latency-awareservice placement, predictive load balancing, rapid state migration, replica-centric fault tolerance, energyadaptive scaling, QoS orchestration, and locality-sensitive caching, where each addressing a slice of themanagement challenge. However, these contributions often operate in isolation, optimise a single metric,or assume benign network and energy conditions, leaving unanswered questions about cross-layerinteractions and deployment realism. This survey consolidates the state-of-art studies into a coherentpipeline view of fog resource management, tracing how hardware evolves into an elastic, fault-resilientmicro-cloud. The analysis distils convergent design patterns, exposes hidden assumptions, and highlightsgoals among layers. Building on these insights the paper identifies cross-cutting research opportunitiessuch as device-centric observability, federated resource markets, on-device continual learning, sustainableoperations, and jurisdiction-aware SLA management. These paradigms must be addressed before foginfrastructures can underpin safety-critical and continent-spanning services. By mapping currentachievements to unresolved challenges, the survey offers researchers and practitioners a clear agenda forthe next wave of fog innovation.