Huawei technologies co., ltd. (20240231901). JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM simplified abstract

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JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

Organization Name

huawei technologies co., ltd.

Inventor(s)

Shoufeng Hu of Beijing (CN)

Bo Zhu of Beijing (CN)

Jin Guo of Xi’an (CN)

Dong Dong of Xi’an (CN)

JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240231901 titled 'JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

Simplified Explanation:

The patent application describes a method for processing jobs in a high-performance computing system. The method involves predicting the quantity of resources consumed in real-time during the execution of a job based on the job's category. By analyzing the resource consumption patterns of jobs in the same category, the system can provide a more accurate prediction of the actual resources needed for the job.

  • Predicting resource consumption in real-time during job execution
  • Analyzing resource consumption patterns of jobs in the same category
  • Providing accurate predictions of required resources based on job category
  • Improving efficiency in resource allocation for job processing
  • Enhancing performance of high-performance computing systems

Potential Applications: This technology can be applied in various industries that rely on high-performance computing systems, such as scientific research, financial modeling, and data analysis. It can also be used in cloud computing environments to optimize resource allocation and improve overall system performance.

Problems Solved: - Inefficient resource allocation in high-performance computing systems - Lack of accurate predictions for resource consumption during job processing - Difficulty in optimizing performance based on job categories

Benefits: - Improved efficiency in resource utilization - Enhanced performance of high-performance computing systems - Cost savings through optimized resource allocation - Streamlined job processing workflows

Commercial Applications: Optimizing resource allocation in cloud computing environments Enhancing performance of scientific research simulations Improving efficiency in financial modeling and data analysis processes

Questions about Job Processing Technology: 1. How does the method predict resource consumption during job execution? 2. What are the key benefits of analyzing resource consumption patterns based on job categories?


Original Abstract Submitted

a job processing method is provided. in this method, after receiving a to-be-processed job, a scheduling node in a high-performance computing system predicts, based on a category of the job, a quantity of resources consumed in real time in a process of executing the job. because quantities of resources consumed in real time in a process of executing jobs of a same category are close, compared with a specified resource quantity, a predicted resource quantity is closer to a quantity of resources actually consumed by the job.