Abstract
Ubiquitous Internet of Things devices are increasingly being used by people. However, cloud computing alone cannot solve all the usage scenarios. Edge computing is created to enable real-time computing of small-scale data or Internet of Things devices in underdeveloped regions to function and use normally. Edge computing is essentially the use of its own or surrounding computing centers with powerful computing power to serve itself, It’s not like cloud computing, unified control of resources and achieve the goal of energy saving, it also makes some calculations carrier got a lot of waste, not very friendly to the global push for green computing, load optimization research for this problem, this paper calculated according to the characteristics of the edge, the edge of the predictable cognitive load optimization scheme is put forward, thus reduce the energy consumption, promote green computing.
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Acknowledgments
This work was partially supported by the Science Project of Hainan University (KYQD(ZR)20021).
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An, F., Ye, J. (2021). Load Optimization Scheme Based on Edge Computing in Internet of Things. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_123
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DOI: https://doi.org/10.1007/978-3-030-62743-0_123
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