Task Offloading Scheme for Latency Sensitive Tasks In 5G IOHT on Fog Assisted Cloud Computing Environment

Abstract

Fog computing is acquiring its popularity and adoption over the cloud computing because of its closeness to the 5G Internet of Health Things (IoHT) devices in the medical applications and also which provides services as cloud-like near to the edge-devices. The architecture and the latency of fog computing helps the mobile nodes and the 5G IoHT devices by delivering cloud-like computational and storage capabilities with a low latency and less bandwidth. Due to such additional behaviour fog computing is a technique for offloading applications' tasks running on the edge devices. Since the fog environment is dynamic in nature offloading the selection of the right fog nodes for offloading compute workloads are a challenging tasks and needs to be addressed. This paper proposes a task-offloading technique that considers QoS using modified sine-cosine optimization technique. The implemented algorithm is compared with PSO, BAT and GWA algorithm and finds that our modified sine-cosine algorithm works better as compared to the mentioned algorithms.