Offloading in Cloud and Fog Hybrid Infrastructure Using iFogSim
The information and communication technology has witnessed unprecedented changes with the introduction of IoT and the implementation of IoT applications is mainly dependant on cloud services like compute, storage, networking, etc. Fog computing has been introduced as a complement to the cloud infrastructure because in near future demands of the IoT devices will exceed the capabilities of the cloud. Our work focuses on the efficient utilization of the Cloud Fog resources by distributing the application modules among Fog devices and cloud data centers. Placing the application modules on Fog devices improves performance parameters like response time, latency, energy consumption, etc. We have proposed two load balancing algorithms whose performance has been evaluated on the iFogSim simulator and their performance has been compared with the cloud only approach. Our approach is generic which can be used in the vast majority of IoT applications.
2020 10th International Conference on Cloud Computing, Data Science Engineering (Confluence)