Abstract
Edge computing could play an important role in Internet of Things (IoT). Computing capacity allocation has been researched a lot in mobile edge computing, which is task oriented. However, hierarchical edge computing also needs computing capacity allocation which is node oriented. This paper focusses on capacity allocation of nodes in hierarchical edge computing. We take energy efficiency and loss in high concurrency scenarios into consideration and work out a method to do allocation by weighing loss and energy efficiency. Simulation is under circumstances that nodes overload, which means that loss is inevitable. A new inspiration of deployment is also given after simulation.
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Acknowledgements
This work was supported by the National Key Research and Development Program of China (grant number 2018YFC0831304).
The National Natural Science Foundation of China under Grant 61701019.
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Zhou, Z., Zhang, Z., Zeng, J., Li, J. (2021). Computing Capacity Allocation for Hierarchical Edge Computing Nodes in High Concurrency Scenarios Based on Energy Efficiency Evaluation. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_20
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DOI: https://doi.org/10.1007/978-3-030-69514-9_20
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