In recent years, with the rapid growth of Internet of Things (IoT) and cloud services having received special attention from the research community across the world. IoT provides a platform of creating a world connected through internet. The implementation of smart devices collects information from our surroundings and works as per our needs. The implementation of IoT is very challenging as it requires the use of different new technologies like the emergence of fog and edge computing. The growth of fog and edge computing introduces many new requirements that needs to be investigated. The line monitoring system requirements for edge computing scenarios are not yet fully accomplished. The prime focus behind this study is to identify the challenges in the field of line monitoring within the application based on edge computing and to present the requirements of line monitoring for adaptive applications depending on edge computing frameworks. In this article we describes the architecture of fog and edge computing and presented their benefits among each other. The objective behind this study is to study the evolution of edge computing and present their benefits. The main contribution of this article is to present the layered architecture study for fog and edge computing. Moreover this article presents the key differences of fog and edge computing. On comparison with cloud computing, the edge computing performs the processing and storage on network edge closer to the user. The latest advances in the edge computing states that edge technology is an optimal solution for issues like latency, data privacy and bandwidth requirements.
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Liu, Y., Sun, Q., Sharma, A. et al. Line Monitoring and Identification Based on Roadmap Towards Edge Computing. Wireless Pers Commun (2021). https://doi.org/10.1007/s11277-021-08272-y
- Cloud systems
- Fog computing
- Edge computing
- Internet of things (IoT)