Data Processing With Time-Based Service Platform Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data processing devices require reconfiguration when switching between different service objects or platforms, leading to inefficiency and poor user experience.
Innovation Solution
A method and apparatus that associate service objects with service time periods and platforms, allowing data processing to be performed on different platforms during corresponding time periods, utilizing faultless units to replace faulty ones, and optimizing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the data processing device is connected to different service platforms or performs processing for different service objects, then the service coverage is improved, but the reconfiguration requirement increases processing time and reduces efficiency
Solution Approach 1:
The patent implements dynamic service object switching by allowing the data processing device to be controlled by different client devices at different time periods. The service object is dynamically changed through time-period-based allocation rather than physical reconfiguration, enabling the same hardware to serve multiple clients sequentially without downtime.
Solution Approach 2:
The patent introduces a time dimension to service object allocation, where different clients are assigned to the data processing device during different time periods. This temporal dimension allows multiple service objects to be supported without spatial reconfiguration, resolving the contradiction between versatility and reconfiguration time.
2Reliability
If fault detection and replacement mechanisms are implemented, then the reliability of data processing is improved, but the system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where client devices monitor the operational status of the data processing device and provide feedback to determine when switching between service objects is necessary. This feedback-driven approach enables automatic fault detection and replacement without complex centralized control systems.
Solution Approach 2:
The system enables self-service fault management where the data processing device and client devices automatically detect faults and perform replacement operations without external intervention. The device continues to operate with alternative processing units when faults are detected, maintaining reliability without complex manual intervention systems.
Data Source
Figure 1~2
Figure 3
Figure 4~5
AI summary
Provided are a data processing method and apparatus, an electronic device, and a system. The data processing method comprises: determining a target service object; according to the correspondence among a service object, a service time period and a service platform, determining a target service time period and a target service platform for providing data processing for the target service object; and controlling a data processing device to perform data processing for the target service object within the target service time period and on the basis of the target service platform. Controlling a data processing device by means of the correspondence can not only improve user experience, but also facilitates the reasonable planning of the processing capacity of the data processing device, and correspondingly, can improve data processing efficiency.