An article entitled “Task scheduling approaches in fog computing: A systematic review”, co-authored by Dr. Amir Rahmani, Professor of Computer Science at Khazar University, was published in International Journal of Communication Systems journal.
The Internet of Things (IoT) interconnects billions of physical objects to collect and exchange information and makes various available applications. Despite all the advantages of the IoT, some of its applications are not feasible because of the existing restrictions in the IoT sensors. Cloud computing has been developed in recent years to overcome these restrictions. Although cloud computing has removed some of these restrictions, the cloud itself has faced some other challenges. One of these challenges is the distance between the cloud and the end‐devices, which is not ideal for delay‐sensitive applications and also leads to high communication costs and security problems. To handle these challenges, the fog computing has been introduced in the literature, which places the resources and services at the edge of the network, close to the end‐devices.
In this study, the task scheduling algorithms proposed by different researchers for the cloud‐fog environment, their advantages and disadvantages, and also various tools and issues regarding the scheduling methods and their restrictions were discussed. Finally, we identified the open issues related to task scheduling based on cloud‐fog computing and provided some directions for future works.
The article can be found at this link: