Service Placement Strategies in Hybrid Cloud-Fog Architectures for Latency-Sensitive IoT Applications
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V5I4P113Keywords:
Fog Computing, Cloud Computing, Internet of Things (IoT), Service Placement, Latency-Sensitive Applications, Quality of Service (QoS), Resource AllocationAbstract
The growth of the Internet of Things (IoT) has introduced new latency-sensitive applications that challenge traditional centralized cloud computing models. In response, fog computing has emerged as an innovative approach that extends cloud services to the network edge, enabling faster processing and improved latency. This paper reviews the placement of hybrid cloud-fog architectures and the demands of latency-sensitive IoT applications. We aim to describe and analyze three key challenges: managing resource heterogeneity, maintaining seamless service for mobile users, and resolving QoS (Quality of Service) goal conflicts. The paper systematically examines how these challenges have been addressed through heuristic algorithms, mobility-aware migration policies, and various multi-objective optimization techniques. Evidence supporting the effectiveness of these strategies comes from reviews of prominent approaches and relevant case studies
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