Task offloading in vehicular fog computing: State-of-the-art and open issues

Vehicular fog computing (VFC) has been proposed as a promising solution to overcome the limitations of edge computing. In VFC, the idle resources of moving and parked vehicles can be used for compute-intensive applications of resource-limited vehicles by offloading their tasks to them. For this to succeed, selecting an appropriate target fog node needs to consider various constraints. This paper argues that the selection process should broadly follow the steps needed to form a service level agreement (SLA) to ensure that the right target fog node is selected. We identify the different requirements that need to be addressed in forming such a SLA before surveying the existing literature to determine if the existing approaches of task offloading in VFC address them or not. Based on the analysis, we conclude the paper by discussing open gaps that need to be addressed for efficient task offloading in VFC. (C) 2022 Elsevier B.V. All rights reserved.

Automated summary

Vehicular fog computing (VFC) is a promising solution to overcome the limitations of edge computing by utilizing idle resources of moving and parked vehicles. This paper argues that the selection of target fog node should follow the steps of forming a service level agreement (SLA) and identifies the requirements that need to be addressed in forming such an SLA.