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Even though cloud computing offers many advantages, it can be a poor choice sometimes because of its slow response to existing requests, leading to the need for fog computing. Scheduling tasks in a fog environment is a major challenge. It is important that IoT clients execute their tasks in a timely manner and obtain lower-cost services; however, they are also looking for tasks to be executed in a secure manner. In this paper, we review the advantages, limitations, and issues associated with scheduling algorithms proposed by a number of different researchers for fog environments. For fog computing developers, we compare different simulation tools to help them choose the product that is most appropriate and flexible for simulating the application they are considering. Finally, open issues and promising research directions associated with task scheduling in fog computing are discussed.