Huawei technologies co., ltd. (20240134688). JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM simplified abstract
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 20240134688 titled 'JOB PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Simplified Explanation
The patent application 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 for jobs of the same category are similar, allowing for more accurate predictions.
- The predicted resource quantity is closer to the actual resources consumed by the job compared to a specified resource quantity.
Potential Applications
This technology could be applied in various industries such as cloud computing, data centers, scientific research, and large-scale simulations where efficient resource allocation is crucial.
Problems Solved
1. Inefficient resource allocation in high-performance computing systems. 2. Lack of accurate prediction of resource consumption for different job categories.
Benefits
1. Improved performance and efficiency in job processing. 2. Cost savings through optimized resource allocation. 3. Enhanced user experience with faster job execution times.
Potential Commercial Applications
Optimized resource allocation technology for cloud service providers.
Possible Prior Art
One possible prior art could be predictive analytics software used in resource management systems to forecast resource usage based on historical data and patterns.
Unanswered Questions
How does this method handle unexpected spikes in resource consumption during job execution?
The method does not address how it adapts to sudden changes in resource consumption that may occur during job execution.
What measures are in place to ensure the accuracy of resource consumption predictions across different job categories?
The patent application does not detail any specific techniques or algorithms used to ensure the accuracy of resource consumption predictions for various 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.
