A Comprehensive Review of QoS Aware Load Balancing Techniques in Generic & Specific Fog Deployment Scenarios

The integration of smart sector applications and services with fog computing paradigm, with heterogeneity of end user devices & fog nodes resulting in opening of new research dimensions for optimizing service broker policies, resource management and fog nodes efficiency. With the emergence of fog layer in new architecture, it has been expected that it will improve quality of service for delay sensitive application. Instead of transmitting enormous volumes of IoT data to the cloud, fog analyses the most response time-sensitive data nearby, at the network boundary depending on defined policy, takes action in milliseconds on IoT data and sends a set of data to the cloud for long-term archiving and study. In this paper a comprehensive review is conducted for QoS aware load balancing optimization techniques in generic and specific fog deployment scenarios like smart grid, electric vehicles, health monitoring etc, to uncover the major findings and future research areas in current 5G fog radio access network. The review is categories into different sections based on performance estimation QoS metrics, simulation assessment tools to evaluate the efficiency of various resource allocation and load balancing techniques used in fog computing.