Automation in Fog Cloud assisted Internet of Things Ecosystem: Challenges, Components and Protocols
Tanishq Soni, Deepali Gupta, Mudita Uppal, Monica Dutta, Avinash Sharma · 2023
The amount of physical objects and sensors used in internet of things technology is increasing constantly but due to the high latency of loT data, it is unable to host this data by Cloud Computing. There has not been sufficient research on automating components to cope with real-time tasks and big data in Fog - Cloud assisted Internet of Things ecosystem, despite all challenges in processing big data of loT sensors present on the cloud. For example, devising automated data transfer to the cloud layer from the fog layer that includes massively distributed appliances is difficult. Dealing with decentralized appliances in fog and loT layer, and considering fog as a supporting processing layer led to assume other automated means to handle the current heterogeneity. The heterogeneity and big data challenges helped in making other automated components for fog resilience that have addressed the third challenge of the ecosystem. The processing of tasks in loT layer becomes autonomous of the cloud layer due to fog resiliency. The main innovation of this study is to explore and investigate automatic functions to form a taxonomy that assists researchers to develop algorithms for various applications of loT. Through this scientific research, the authors showed automatic functions with respect to each challenge.