Abstract
Various recent trends in computer science include machine learning, block chain technology, IoT, Cloud computing, etc. Fog computing is one of the research areas used everywhere in science or other fields. Due to it providing very fast service in the heterogeneous platform, more security, and low latency. Workflow scheduling is one of the current research areas in the fog computing platform. Workflow scheduling allocates the different jobs into the available fog server and cloud servers. In this paper, we have identified some methods based on workflow scheduling in a fog environment and compared these methods based on tools and performance metrics.
 Keywords: Cloud Computing, Fog Computing, Metrics, DAG, Cloudsim.
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