With the rapid increase in the Internet of Things (IoT), the amount of data produced and processed is also increased. Cloud Computing facilitates the storage, processing, and analysis of data as needed. However, cloud computing devices are located far away from the IoT devices. Fog computing has emerged as a small cloud computing paradigm that is near to the edge devices and handles the task very efficiently. Fog nodes have a small storage capability than the cloud node but it is designed and deployed near to the edge device so that request must be accessed efficiently and executes in time. In this survey paper we have investigated and analysed the main challenges and issues raised in scheduling the task in fog computing environment. To the best of our knowledge there is no comprehensive survey paper on challenges in task scheduling of fog computing paradigm. In this survey paper research is conducted from 2018 to 2021 and most of the paper selection is done from 2020-2021. Moreover, this survey paper organizes the task scheduling approaches and technically plans the identified challenges and issues. Based on the identified issues, we have highlighted the future work directions in the field of task scheduling in fog computing environment.

翻译：随着物联网（IoT）的快速发展，产生和处理的数据量也日益增加。云计算能够按需支持数据的存储、处理和分析，然而云计算设备与物联网设备相距较远。雾计算作为一种小型云计算范式应运而生，它靠近边缘设备，能够高效处理任务。雾节点比云节点的存储能力小，但其设计并部署在边缘设备附近，从而确保请求能够高效访问并按时执行。本综述论文调查并分析了雾计算环境下任务调度面临的主要挑战和问题。据我们所知，目前尚不存在关于雾计算范式任务调度挑战的全面综述论文。本研究综述了2018至2021年间的相关文献，其中大部分论文选自2020-2021年。此外，本综述论文对任务调度方法进行了分类，并对已识别的挑战和问题进行了技术规划。基于这些问题，我们指出了雾计算环境下任务调度领域的未来研究方向。