20240046168. DATA PROCESSING METHOD AND APPARATUS simplified abstract (Huawei Technologies Co., Ltd.)
Contents
DATA PROCESSING METHOD AND APPARATUS
Organization Name
Inventor(s)
Mingxuan Yuan of Hong Kong (CN)
DATA PROCESSING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240046168 titled 'DATA PROCESSING METHOD AND APPARATUS
Simplified Explanation
The patent application describes a data processing method that involves obtaining service data used to define a service feature. The service data includes constant data that is used to solve an objective function. At least one constraint item is obtained, which includes a constraint relationship between a decision variable in the objective function and the constant data. The constant data is then split into multiple data blocks, with each data block corresponding to at least one sub-constraint item. These data blocks are allocated to multiple compute nodes for parallel processing. The compute nodes generate constraint blocks in parallel based on the data blocks and corresponding sub-constraint items, resulting in a constraint matrix. The value of the decision variable is determined based on this constraint matrix.
- Obtaining service data used to define a service feature
- Using constant data from the service data to solve an objective function
- Obtaining at least one constraint item that includes a constraint relationship between a decision variable and the constant data
- Splitting the constant data into multiple data blocks, with each block corresponding to at least one sub-constraint item
- Allocating the data blocks to multiple compute nodes for parallel processing
- Generating constraint blocks in parallel based on the data blocks and sub-constraint items
- Obtaining a constraint matrix from the generated constraint blocks
- Determining the value of the decision variable based on the constraint matrix
Potential applications of this technology:
- Optimization problems in various industries such as logistics, finance, and manufacturing
- Resource allocation and scheduling in complex systems
- Data analysis and decision-making in large-scale datasets
Problems solved by this technology:
- Efficiently solving complex optimization problems with large amounts of data
- Parallel processing to speed up computation time
- Handling constraint relationships between decision variables and constant data
Benefits of this technology:
- Improved efficiency and speed in solving optimization problems
- Scalability to handle large datasets and complex systems
- Enhanced decision-making capabilities based on accurate constraint analysis
Original Abstract Submitted
this application provides a data processing method, including: obtaining service data used to define a service feature, where the service data includes constant data, the service data is used to solve an objective function; obtaining at least one constraint item, where the constraint item includes a constraint relationship between a decision variable in the objective function and the constant data; splitting the constant data to obtain a plurality of data blocks, where each data block is corresponding to at least one sub-constraint item; allocating the plurality of data blocks to a plurality of compute nodes for parallel processing, so that the plurality of compute nodes generate a plurality of constraint blocks in parallel based on the plurality of data blocks and a corresponding sub-constraint item, to obtain a constraint matrix; and then determining a value of the decision variable based on the constraint matrix.
