Scheduling Scheme Configuration via Operation Dimension Verification
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Solution Overview
Problem
Existing intelligent scheduling systems in computer networks face challenges in detecting and automatically correcting abnormal operation dimensions, leading to delays in fault discovery and processing, which affects network access and service quality.
Innovation Solution
A method and apparatus for configuring a scheduling scheme that performs state verification on operation dimensions, removes abnormal dimensions, and switches between standard and degraded operation modes to ensure continuous service, using pre-configured operation modes with different weight values and data format consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If intelligent scheduling systems use complex reference conditions and algorithms to improve service quality, then the quality of service improves, but the maintenance cost increases
Solution Approach 1:
The patent segments the scheduling system into multiple independent operation dimensions (geographic location, availability, quality-of-service, cost performance) that can be independently verified and managed. This segmentation allows the system to maintain complex functionality while reducing maintenance complexity by isolating failure points to specific dimensions rather than the entire system.
Solution Approach 2:
The patent implements preliminary verification of operation dimensions before scheduling decisions are made. By pre-checking the validity and timeliness of basic data in each operation dimension, the system prevents propagation of errors and reduces the need for complex post-facto maintenance and debugging.
2Measurement precision
If the scheduling system includes multiple operation dimensions for comprehensive scheduling, then the scheduling accuracy improves, but the system robustness deteriorates
Solution Approach 1:
The patent implements a feedback mechanism that verifies the state of each operation dimension and provides feedback on their timeliness and validity. This feedback loop allows the system to detect abnormal operation dimensions and switch to degraded modes, maintaining robustness while preserving scheduling accuracy through multiple verification points.
Solution Approach 2:
The patent prepares degraded operation modes in advance that can be activated when specific operation dimensions are found to be abnormal. This beforehand cushioning ensures the system maintains robustness by having pre-planned fallback options, while still allowing full scheduling accuracy when all dimensions are functioning normally.
3Measurement precision
If the system performs comprehensive verification on all operation dimensions, then the fault detection accuracy improves, but the processing time increases
Solution Approach 1:
The patent divides the verification process into separate, independent checks for each operation dimension. This segmentation allows the system to verify multiple dimensions in parallel rather than sequentially, improving fault detection accuracy across all dimensions while reducing total processing time through concurrent execution.
4Reliability
If the scheduling system uses a standard operation mode with all dimensions, then the service quality is optimized, but the adaptability to failures decreases
Solution Approach 1:
The patent implements dynamic switching between standard operation mode (with all dimensions) and degraded operation modes (with subset of dimensions). This dynamic adaptability allows the system to optimize service quality when all dimensions are available while automatically adapting to failures by switching to appropriate degraded modes, thereby maintaining both high service quality and failure adaptability.
Data Source
AI summary
A scheduling scheme configuration method includes performing state verification on a plurality of operation dimensions involved in generating a scheduling scheme, and, in response to one or more of the operation dimensions being abnormal, removing the one or more abnormal operation dimensions to generate a new scheduling scheme.


