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Cluster equilibrium scheduling method based on backpressure flow control in railway power supply systems
Zhijian Qu1, Hanxin Liu1, Hanlin Wang1
1Electrical and Automation Engineering College, East China Jiaotong University, Nanchang, Jiangxi, China.
Plos One
|December 9, 2020
Summary
A new smooth weighted round-robin scheduling method (BF-SWRR) reduces railway network data processing delays to under 1 second. This approach also improves cluster load balancing and decreases CPU/memory usage by approximately 15%.
Area of Science:
- Computer Science
- Data Engineering
- Network Systems
Background:
- Massive monitoring data in railway networks causes significant processing delays.
- Imbalanced task distribution in scheduling centers further exacerbates these issues.
Purpose of the Study:
- To address processing delays and task imbalance in railway network monitoring.
- To introduce an efficient scheduling method for real-time streaming data.
Main Methods:
- A novel smooth weighted round-robin scheduling based on backpressure flow control (BF-SWRR) was developed.
- The method utilizes message queue models and real-time stream computing.
- Distributed stream computing and parallel processing segment data sources.
Main Results:
- The BF-SWRR method effectively controls system delay to within 1 second.
- Setting cluster parallelism to 8 reduces CPU and memory occupancy by approximately 15%.
- The BF-SWRR method achieves a more balanced cluster load during stream computing.
Conclusions:
- The BF-SWRR method offers a viable solution for real-time data processing in railway networks.
- Improved scheduling enhances system efficiency and resource utilization.
- This approach contributes to more reliable and responsive railway monitoring systems.
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