18400186. JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM simplified abstract (Huawei Technologies Co., Ltd.)
Contents
- 1 JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Organization Name
Inventor(s)
JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18400186 titled 'JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Simplified Explanation
The patent application abstract describes a job processing method in a high-performance computing system where a scheduling node predicts the quantity of resources consumed in real-time based on the category of the job, resulting in more accurate resource allocation.
- The method involves predicting the quantity of resources consumed by a job based on its category.
- Resources consumed in real-time by jobs of the same category are similar, leading to more accurate resource predictions.
- The predicted resource quantity is closer to the actual quantity consumed by the job, improving resource allocation efficiency.
Potential Applications
This technology could be applied in various industries and fields where high-performance computing systems are used, such as:
- Scientific research
- Financial modeling
- Weather forecasting
- Artificial intelligence development
Problems Solved
This technology addresses the following issues:
- Inefficient resource allocation in high-performance computing systems
- Inaccurate predictions of resource consumption for different job categories
- Wastage of resources due to over-allocation
Benefits
The benefits of this technology include:
- Improved resource allocation efficiency
- Cost savings through optimized resource usage
- Enhanced performance of high-performance computing systems
Potential Commercial Applications
This technology has potential commercial applications in industries such as:
- Cloud computing services
- Data centers
- Research institutions
- Financial institutions
Possible Prior Art
One possible prior art for this technology could be predictive analytics software used in resource management systems to forecast resource usage based on historical data.
Unanswered Questions
How does this technology impact job scheduling efficiency in high-performance computing systems?
This technology improves job scheduling efficiency by accurately predicting resource consumption based on job categories, leading to optimized resource allocation and improved system performance.
What are the potential cost savings for organizations implementing this technology?
Organizations implementing this technology can achieve cost savings through optimized resource allocation, reduced wastage, and improved overall system performance.
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.
