Abstract
With the rapid development of smart grid, traditional cloud computing architectures struggle to meet the needs of new power applications with low latency and large connectivity in the context of big data. Hence, edge computing has emerged. Edge computing is closer to the edge of the network where data is generated, enabling fast data processing and supporting swift user requests. This paper describes the system architecture of edge computing and the principles of task offloading in smart grid. It finally concludes with a summary of existing issues and future trends.
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Acknowledgement
This work is supported by the State Grid Henan Electric Power Company Science and Technology Project “Research on Secure Networking Technology and Service Access Simulation of 5G-integrated Energy Internet” (Grant No. 5217Q0210001).
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Shen, J., Li, Y., Zhang, Y., Zhou, F., Feng, L., Yang, Y. (2022). A Survey on Task Offloading in Edge Computing for Smart Grid. In: Liu, Q., Liu, X., Chen, B., Zhang, Y., Peng, J. (eds) Proceedings of the 11th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-16-6554-7_2
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