Research on the Algorithm of Multi-Threaded Service Monitoring for Automatic Sorting of Work Order Data

This paper proposes an automatic sorting algorithm for work order data based on multi-threaded service monitoring, aiming to improve the processing efficiency and real-time performance of work order data by optimizing thread scheduling and load balancing strategies. First, this paper analyzes the ar...

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Vydané v:2025 IEEE 5th International Conference on Power, Electronics and Computer Applications (ICPECA) s. 616 - 621
Hlavní autori: Pan, Ruiping, He, Xuedong, Xin, Boxiang, Sun, Xiaoqian, Wang, Meng
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 17.01.2025
Predmet:
automatic sorting
Classification algorithms
Cleaning
data cleaning
Data processing
Instruction sets
load balancing
Load management
Monitoring
Multithreaded service monitoring
Real-time systems
Scheduling
Scheduling algorithms
Sorting
thread scheduling algorithm
work order data
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Shrnutí:This paper proposes an automatic sorting algorithm for work order data based on multi-threaded service monitoring, aiming to improve the processing efficiency and real-time performance of work order data by optimizing thread scheduling and load balancing strategies. First, this paper analyzes the architecture and challenges of the multi-threaded service monitoring system, and proposes a series of automatic processing methods for deduplication, cleaning and classification of work order data. This paper uses the actual work order data of the power grid operation and maintenance platform. The experimental results show that the system response time is reduced by 38.7% on average and the data processing throughput is increased by 45.2% by using priority scheduling and weighted load balancing algorithms compared with the traditional polling scheduling algorithm. In addition, through the experiment of deduplication and classification of work order data, it is found that the deduplication algorithm based on hash table and timestamp sorting method can increase the data processing speed by 32.4% compared with the traditional sorting algorithm. The multi-threaded service monitoring and work order data sorting method proposed in this paper has significant performance improvement, which can effectively improve the real-time performance and data processing efficiency of the system. This paper provides a new technical solution for large-scale service monitoring and work order management.
DOI:10.1109/ICPECA63937.2025.10928870