Abstract
With the maturity and promotion of edge computing technology, more and more computing functions in the Internet of Things are decentralized to the edge, but edge resources are facing the challenge of low resource capacity. How to plan to make limited resources and configure network nodes to meet the needs and distribution of computing services is a problem worthy of study. Based on the research on resource-constrained edges, this paper abstracts the system model and load model, proposes the power Internet of Things edge resource allocation algorithm based on SDN, and simulates it in an experimental environment. The results show that the algorithm can effectively balance the edge load and improve computing power at the edge of the power Internet of Things.
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Acknowledgements
This research was funded by the Science and Technology Project of the State Grid Shandong Electric Power Company: Research on the key technologies of the power Internet of Things platform based on the cloud-Side collaborative architecture-Research on the key technologies of data interaction and identification analysis of edge IoT agents (520627200002).
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Li, D., Guo, S., Zhang, Y., Xu, H., Dong, Q. (2022). Research and Application of Edge Resource Allocation Algorithm of Power Internet of Things Based on SDN. In: Nakamatsu, K., Kountchev, R., Patnaik, S., Abe, J.M., Tyugashev, A. (eds) Advanced Intelligent Technologies for Industry. Smart Innovation, Systems and Technologies, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-16-9735-7_51
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DOI: https://doi.org/10.1007/978-981-16-9735-7_51
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