Hypercube Caching for Planning Computation Speed
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Planning systems face significant computation time issues due to complex multidimensional data spaces, requiring efficient methods to reduce calculation times for interactive use.
Innovation Solution
Implementing a caching system that identifies and caches distinct terms within hypercubes, optimizing performance by storing and indexing frequently repeated operations, and utilizing strategic caching to reduce computation time despite additional overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large multidimensional data space is used to represent complex systems, then the planning system can handle complex calculations, but the computation time becomes significantly longer
Solution Approach 1:
The system performs preliminary actions by pre-calculating and caching values for frequently accessed cells before they are actually needed during planning operations. This includes pre-computing aggregate values, intermediate calculations, and optimizing the evaluation order of formulas, so that when planning operations are executed, the system can retrieve cached values instead of performing full calculations from scratch, thereby reducing computation time while maintaining the ability to handle complex multidimensional data spaces
2Measurement precision
If all computations are performed to ensure accurate planning results, then the planning system provides accurate results, but the time required for interactive use becomes too long
Solution Approach 1:
The system applies local quality by differentiating the computation requirements for different cells based on their accessibility and usage patterns. Highly accessible cells that are frequently referenced in formulas are prioritized for caching and pre-computation, while less accessible cells maintain full computation accuracy. This selective approach ensures that the most critical calculations are performed with full accuracy while less critical ones can use optimized cached values, thereby maintaining interactive responsiveness without sacrificing essential planning accuracy
Solution Approach 2:
The system performs preliminary computation and caching of cell values before planning operations are executed. By pre-calculating and storing aggregate values, intermediate results, and optimized formula evaluations in a cache structure, the system can retrieve these pre-computed values during interactive planning operations rather than performing full calculations in real-time, thus maintaining both accuracy and interactivity
Data Source
AI summary
A system for caching includes an interface to receive a portion of a hypercube to evaluate. The hypercube includes cells with a set of the cells having a formula. The system includes a processor to determine term(s) in the formula for each cell of the set of cells; remove from consideration a time dimension and/or a primary dimension for the term(s) in the formula for each cell of the set of cells; determine a set of distinct terms using the term(s); determine whether a total number of terms in the set of cells is larger than a number of distinct terms in the set of distinct terms; and in response to determining that the total number of terms in the set of cells is larger than the number of distinct terms in the set of distinct terms, indicate to cache the set of distinct terms during evaluation.