Shortest Job First with Gateway-Based Resource Management Strategy for Fog Enabled Cloud Computing

In recent years, fog computing has extended cloud services to the network edge, lowering network latency and congestion and overcoming cloud computing restrictions. Many hurdles, however, must be overcome before the benefits of the fog-IoT paradigm for low-latency applications can be completely realized. The most challenging difficulty in IoT applications is developing efficient resource management strategies that maximize throughput while minimizing delay. Fog computing technologies with Internet of Things (IoT) applications make the system reply in milliseconds. Existing fog resource managers focus on a subset of fog resource management parameters such as system response time, network bandwidth, energy usage, and latency. No Fog resource management considers these elements concurrently for decision-making, which will become increasingly relevant in smart homes. To solve these challenges, Gateway-based Fog Computing pioneered the introduction of the shortest job (SJFGFC). The method is validated in an IoT-based imaginative house automation scenario and tested in a small-scale brilliant home experiment using the iFogSim toolbox and empirical models.