A Co-Scheduling System for Fog-node Recommendation and Load Management in Cloud-fog Environment (CoS_FRLM)
K. Jairam Naik · 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) · 2020
Improvement in Internet of Technology (IoT) has amplified the usage of smart devices like cameras, sensors, drones, vehicles, and etc, by the individuals and domain organizations. The day-to-day data created and usage by these devices also increasing proportionally. The storage-space and processor-speed available at the individual devices is not enough for managing the generated data. Hence, a huge amount of storage space and processing capabilities is required. The remotely available global cloud resources are in use at present for fulfilling these needs. But, cloud resources are not recommended always for execution due to network delay and service cost. With the aim of optimally utilizing the existing IoT devices, it was formed as a logical cluster of devices called fog-nodes and their operations are managed by fog-agents. Instead of immediately forwarding every IoT application requests to the cloud, based on suitability they are accommodated on the IoT devices of the same or different fog-nodes for execution. Finding a suitable fog-node for executing IoT application is a challenging task. In this article, A Co-scheduling system that recommends suitable fog-node for executing IoT application and managing load in the cloud-fog environment (CoS_FRLM) was proposed. The CoS_FRLM calculates Pheramone Indicator (PI) value for each application on each Fog-node and recommends a fog-node having greater PI value for executing the IoT application. Simulation results states that the proposed CoS_FRLM outperforms the existing scheduling and load management methodologies by effective resource utilization, reduced makespan-time and service-costs.