Resource Scheduling Techniques for Optimal Quality of Service in Fog Computing Environment: A Review

in present-day Internet of Things (IoT) is a trending technology and playing a vital role in human life to build up a quality life. With the advancement in IoT devices, Fog computing is turn-out solution to handle IoT applications efficiently. Many IoT applications are run in Fog environments with central Fog nodes, and by servers in Cloud. Because of the heterogeneous and distributed environment of the Fog system, the management of an increasing number of IoT applications within available resources for optimal QoS (Quality-of-service) is a necessity. In this work, a review of resource scheduling techniques for optimal QoS has been done. The provided taxonomy for approaches of QoS management in the Fog environment is classified into Resource Scheduling, Energy Efficiency, and Security. In this work issues and approaches of four resource scheduling techniques like task scheduling, resource allocation, task offloading, and application placement are discussed in detail. A comparative analysis of these four techniques on performance metrics, advantages and disadvantages, and implementation tools are discussed.