QoS-Aware Task Migration Strategy for Fog IoT
Nikita Joshi, Sanjay Srivastava · 2023
IoT applications generate a lot of time-sensitive data that needs to be analyzed. Several fog-integrated cloud platforms are available to process these data. The task's significance degrades if IoT tasks are not completed within the specified time frame. Many task allocation algorithms that meet Quality of Service (QoS) requirements have been proposed in the literature. However, due to network bandwidth variation, VM failure, and processing delay variation, the fog node may not always be able to complete the task before the deadline. In this case, it is required to migrate the task from one fog node to another and complete it before the deadline. We proposed a QoS-aware TAsk Migration (QoTAM) algorithm that identifies the candidate task and its eligible fog node for migration. When the performance of QoTAM is compared to that of the existing task allocation technique, we find that QoTAM has a 10% higher task completion ratio.