Research Article
Computing Capacity Allocation for Hierarchical Edge Computing Nodes in High Concurrency Scenarios Based on Energy Efficiency Evaluation
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@INPROCEEDINGS{10.1007/978-3-030-69514-9_20, author={Ziheng Zhou and Zhenjiang Zhang and Jianjun Zeng and Jian Li}, title={Computing Capacity Allocation for Hierarchical Edge Computing Nodes in High Concurrency Scenarios Based on Energy Efficiency Evaluation}, proceedings={Smart Grid and Internet of Things. 4th EAI International Conference, SGIoT 2020, TaiChung, Taiwan, December 5--6, 2020, Proceedings}, proceedings_a={SGIOT}, year={2021}, month={7}, keywords={Edge computing Energy efficiency Computing capacity}, doi={10.1007/978-3-030-69514-9_20} }- Ziheng Zhou
Zhenjiang Zhang
Jianjun Zeng
Jian Li
Year: 2021
Computing Capacity Allocation for Hierarchical Edge Computing Nodes in High Concurrency Scenarios Based on Energy Efficiency Evaluation
SGIOT
Springer
DOI: 10.1007/978-3-030-69514-9_20
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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