Task-Parallel Resource Allocation for Power Network Query Engine Based on Cross-Platform Communication Protocols
The current parallel resource allocation model of power network query engine task is mostly based on informatization model processing, and the allocation efficiency of parallel resources is relatively low, resulting in the decreasing allocation frequency, for this reason, we propose to design and analyze the design and analysis of the parallel resource allocation method of power network query engine task based on the cross-platform communication protocol. According to the current determination, real-time resource collection and preprocessing are carried out first, matching of resource feature points is carried out, cross-platform communication protocols are adopted to improve the allocation efficiency of parallel resources, cross-platform communication protocols are constructed for parallel resource allocation model of electric power network query engine task, and adaptive adjustment is adopted to realize resource allocation processing. Test results show that: compared with the cloud edge dynamic measurement resource allocation method, intelligent cooperative user scheduling and resource allocation, this design of cross-platform communication protocol power network query engine task parallel resource allocation method ultimately results in a relatively high frequency of allocation, which indicates that this design of cross-platform communication protocol power network query engine task parallel resource allocation method of real-time processing efficiency machine is targeted to a high degree, the effect of allocation is significantly improved, which has practical application value and innovative significance.
Authors
- Yuxuan Yang (ORCID: https://orcid.org/0009-0004-0906-7292)
- Jiayi Lin (ORCID: https://orcid.org/0000-0003-2324-4908)
- Zhengrong Wu (ORCID: https://orcid.org/0000-0002-2071-6212)
- Hua Li (ORCID: https://orcid.org/0000-0002-9898-4233)
Institutions
- China Southern Power Grid (China) (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/icicc63565.2024.10780465
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00