Network Resource Allocation Using Multi-Dimensional Segmentation
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Solution Overview
Problem
Existing methods for allocating network medium data resources result in low accuracy and low utilization, leading to substantial waste due to the estimation of allocatable resources based on limited screening conditions.
Innovation Solution
A method and apparatus that calculate allocatable network medium data resources by considering multiple dimensions such as geographical region, content, and time, using obtained allocation data and ratios to estimate resource volumes, while also accounting for conflicts and residual resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network medium data resources are allocated based on estimated demands using simple multiplication of total volume with screening condition ratios, then the allocation process is simple and fast, but the accuracy of resource estimation is low and utilization is poor
Solution Approach 1:
The patent segments the resource allocation process into multiple independent modules: a screening condition receiving module, an allocation data obtaining module, and an estimated allocatable resource volume calculating module. Each module handles specific aspects of the allocation process, allowing for improved accuracy through detailed multi-dimensional analysis while maintaining system manageability through modular architecture.
Solution Approach 2:
The patent introduces multiple additional dimensions beyond simple screening conditions, including geographical region, content type, time period, and audience characteristics. By expanding from one-dimensional ratio-based allocation to multi-dimensional analysis, the system achieves higher estimation accuracy while the modular structure prevents excessive complexity.
2Productivity
If allocatable resources are estimated by simple ratio multiplication, then the calculation process is fast and simple, but resource utilization is low and waste is substantial
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors actual resource consumption and allocation effectiveness. The allocation data obtaining module gathers information on actual usage patterns, and this feedback is used to refine the estimated allocatable resource volume calculations, thereby improving resource utilization and reducing waste through iterative optimization.
Solution Approach 2:
The system performs preliminary resource estimation and allocation planning before actual resource deployment. By calculating estimated allocatable resource volumes based on multiple dimensions (geographical region, content, time, audience characteristics) in advance, the system optimizes resource distribution beforehand, preventing waste and improving utilization from the outset rather than correcting issues afterward.
3Measurement precision
If resource allocation considers multiple dimensions such as geographical region, content, and time, then the accuracy of estimation improves, but the complexity of the allocation system increases
Solution Approach 1:
The patent divides the complex multi-dimensional allocation system into separate functional modules: a screening condition receiving module that handles input parameters, an allocation data obtaining module that gathers multi-dimensional data, and an estimated allocatable resource volume calculating module that processes the data. This segmentation allows the system to handle multiple dimensions (geographical region, content, time, audience characteristics) with high accuracy while maintaining manageable complexity through modular architecture.
4Reliability
If the system calculates estimated allocatable resource volume using multiple calculation steps including conflict resource volume, then the accuracy and fairness of allocation improves, but the calculation time and processing complexity increases
Solution Approach 1:
The patent performs preliminary calculations of conflict resource volumes and allocation adjustments before final resource distribution. By pre-calculating the estimated allocatable resource volume considering multiple factors (geographical region, content, time, audience characteristics) and potential conflicts, the system ensures fair and accurate allocation while reducing the need for iterative adjustments that would consume additional time.
Data Source
AI summary
A method for estimating allocatable network medium data resources is disclosed. The method is performed at an apparatus having one or more processors and memory for storing programs to be executed by the one or more processors. The method includes receiving a screening condition that includes at least one dimension from a set of dimensions of the network medium data resources. The method also includes obtaining allocation data of the network medium data resources, where the allocation data includes at least allocatable network medium data resources within a predefined geographical region, allocatable network medium data resources associated with a predefined content, a total volume of the allocatable network medium data resources, and a set of ratios associated with the set of dimensions. The method further includes calculating an estimated allocatable resource volume of the network medium data resources for the screening condition using the obtained allocation data.