Utilization of Fog Computing in Task Scheduling and Offloading: Modern Growth and Future Challenges

Recent advancements towards emerging technologies like the Internet of Things (IoT) needs resource-based processing for executing diverse real-time applications. In this IoT environment, the connected devices generate an enormous amount of data and processed in the cloud environment due to its service provisioning nature and device-scalability characteristics. Moreover, the request generated by the IoT devices towards the cloud is not effectually resolved; specifically, monitoring of resource availability, resource management, and task scheduling. The major challenge in the FC environment is task scheduling and resource allocation. The researches on FC is determined to be in its infancy nature where fog infra-structure, application, working environment, taxonomy-based allocations are still known the wider field in the research area. This work provides an extensive survey towards the synthesize of FC in research and industrial community to fulfil the need of users/researchers. Here, FC definitions, computation process, research trends and technical evaluations among the nodes are reviewed extensively. Similarly, the architectures, components are also discussed. The fog components are defined, and the nodes are deployed over the simulation environment. Similarly, the existing research gaps are also analyzed, and the gaps are bridged by examining the deficiency factors related to resource allocation and task scheduling. The limitations of FC with present research works are examined based on the open issues. This paves the way to proceed with future research enhancements over FC paradigm.