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Container migration for edge computing in industrial Internet with joint latency reduction and reliability
Xiaomin Jin1,2,3, Shengsheng He4,5,6, Yanping Chen4,5,6
1School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, 710121, China. xmjin@xupt.edu.cn.
This study addresses container migration in edge computing for the industrial Internet. An optimization model and an improved whale optimization algorithm reduce latency and enhance reliability, improving performance by over 15%.
Area of Science:
- Information Technology
- Edge Computing
- Industrial Internet
Background:
- Edge computing is vital for the industrial Internet, requiring accurate container migration for speed and operational continuity.
- Container migration challenges in edge computing include balancing latency reduction and reliability enhancement.
Purpose of the Study:
- To explore container migration in edge computing for the industrial Internet.
- To reduce latency and enhance reliability in container migration.
- To establish a systematic framework for balancing latency and reliability.
Main Methods:
- Formulation of a two-objective optimization model for container migration.
- Development of a migration algorithm based on the improved binary whale optimization algorithm.
- Incorporation of adaptive probability and adaptive position weight in the algorithm's operations.
Main Results:
- The established optimization model effectively reduces the objective value.
- The proposed migration algorithm significantly enhances search efficiency.
- Experimental results show an average reduction of at least 15.59% in the objective value compared to existing algorithms.
Conclusions:
- The proposed model and algorithm effectively address container migration challenges in edge computing.
- The approach offers a systematic framework for optimizing latency and reliability.
- The improved binary whale optimization algorithm demonstrates superior performance in container migration.
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