Adaptive Snapshot Timing for Multi-Simulator Time Alignment
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Solution Overview
Problem
Existing methods face challenges in creating snapshots at an appropriate frequency during simulations, leading to increased processing time, load, and storage usage due to unnecessary snapshots or high re-execution costs.
Innovation Solution
An information processing method that acquires the probability of data communication between simulators and determines snapshot creation timings based on this probability, optimizing the frequency by creating snapshots before events are likely to occur, thereby reducing unnecessary snapshots and lowering re-execution costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If snapshots are created periodically during simulation, then time alignment between simulators can be achieved, but processing time and storage usage increase due to unnecessary snapshots
Solution Approach 1:
The system performs preliminary analysis of communication patterns before the main simulation to identify critical sections where data communication is likely to occur. Snapshot creation timings are predetermined based on this analysis, allowing the simulation to efficiently create snapshots only when necessary for time alignment, rather than periodically throughout the entire simulation.
Solution Approach 2:
The system dynamically adjusts snapshot creation parameters based on simulated communication patterns. By analyzing probability of occurrence of data communication in different sections, the system changes the snapshot creation frequency and timing parameters to match actual communication needs, reducing unnecessary snapshots while maintaining time alignment accuracy.
2Reliability
If snapshots are created frequently to ensure time alignment, then time alignment accuracy improves, but storage usage and re-execution costs increase
Solution Approach 1:
The system performs preliminary analysis of communication patterns before the main simulation to identify critical sections where data communication is likely to occur. Snapshot creation timings are predetermined based on this analysis, allowing the simulation to efficiently create snapshots only when necessary for time alignment, rather than periodically throughout the entire simulation.
Solution Approach 2:
The system dynamically adjusts snapshot creation parameters based on simulated communication patterns. By analyzing probability of occurrence of data communication in different sections, the system changes the snapshot creation frequency and timing parameters to match actual communication needs, reducing unnecessary snapshots while maintaining time alignment accuracy.
3Ease of manufacture
If snapshots are created at fixed intervals, then implementation simplicity is maintained, but re-execution costs increase due to mismatched snapshot timings
Solution Approach 1:
The system performs preliminary analysis of communication patterns before the main simulation to identify critical sections where data communication is likely to occur. Snapshot creation timings are predetermined based on this analysis, allowing the simulation to efficiently create snapshots only when necessary for time alignment, rather than periodically throughout the entire simulation.
Solution Approach 2:
The system transitions from static, fixed-interval snapshot creation to dynamic, adaptive snapshot creation. The snapshot creation process adapts to the actual communication patterns observed during preliminary analysis, making the timing flexible and responsive to actual simulation needs rather than following a rigid schedule.
Data Source
AI summary
An information processing method includes acquiring by a computer, in a simulation that is executed by a target simulator in cooperation with another simulator, a probability of occurrence of data communication from the other simulator to the target simulator, for each of sections obtained by dividing a simulation time of the target simulator, and determining timings of creation of a snapshot of the target simulator in the simulation, based on the acquired probability of occurrence of the data communication in each of the sections.


