Abstract

In IoT applications where connectivity to cloud-based systems is irregular yet low latency is a crucial requirement, fog computing is necessary for success. Fog Computing's dispersed functionality enables storage and execution to take place in totally separate places. Resource management and multiple programming paradigms are required due to the distributed capabilities and numerous user applications taken together. It is important to manage and evaluate failures in network-based systems and services caused by a variety of limitations. The study's main goal is to shed light on various QoS-based scheduling strategies that aim to improve execution in fog computing to evaluate several fault-tolerant methods used in the fog computing environment.

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