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.

尽管云计算提供了许多优势，但有时它可能是一个糟糕的选择，因为它对现有请求的响应速度很慢，从而导致需要雾计算。在雾环境中调度任务是一项重大挑战。物联网客户端及时执行任务并获得低成本服务非常重要；但是，他们也在寻找以安全方式执行的任务。在本文中，我们回顾了许多不同研究人员针对雾环境提出的与调度算法相关的优点、局限性和问题。对于雾计算开发人员，我们比较不同的模拟工具，以帮助他们选择最合适和最灵活的产品来模拟他们正在考虑的应用程序。最后，