Tracker Object for Data Set State Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Managing data set modifications across multiple observers is challenging, as existing methods struggle to ensure that cached results are recalculated when the data set changes, especially in scenarios where multiple programs have access to the same data set.
Innovation Solution
A method and system for tracking the stability of a data set using a tracker object that sets a reference to null when the data set is modified, allowing for the creation of new tracker objects and caching results based on the current data set state, enabling accurate recalculations and efficient resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a cached result is used to improve efficiency, then productivity increases, but reliability deteriorates because the cached result may be based on an old version of the data set
Solution Approach 1:
The system establishes a feedback mechanism where the tracker object monitors data set modifications and notifies observers when changes occur. The tracker compares current data set state with cached result state, and when mismatches are detected, it triggers recalculation. This feedback loop ensures cached results remain synchronized with the actual data set, maintaining reliability while preserving caching efficiency.
Solution Approach 2:
The system performs preliminary tracking of data set modifications before cached results become invalid. By continuously monitoring data set changes through the tracker object and maintaining state information, the system prepares for potential recalculation needs in advance, ensuring that when observers request results, they receive accurate data without unnecessary recalculation overhead.
2Adaptability or versatility
If multiple observers track data set modifications independently, then each observer can maintain its own cached results, but device complexity increases due to the difficulty of tracking all modifications and observers
Solution Approach 1:
The system merges the tracking functionality into a single centralized tracker object that all observers share. Instead of each observer maintaining separate tracking mechanisms, the tracker object serves as a common resource that monitors data set modifications once and notifies all affected observers. This consolidation reduces complexity while maintaining full multi-observer support, as the tracker maintains state information about which observers are registered and which cached results need updating.
3Reliability
If the tracker object is recreated every time the data set is modified, then the cached result can be accurately invalidated, but resource usage increases due to frequent object creation
Solution Approach 1:
The system performs preliminary tracking of data set modifications using state variables within the existing tracker object. Instead of recreating the tracker on every modification, the tracker maintains state information (such as modification counters or version identifiers) that allows it to detect changes and invalidate cached results appropriately. This approach maintains reliable cache invalidation while avoiding the overhead of frequent object creation and garbage collection.
Data Source
AI summary
One particular implementation conforming to aspects of the present invention takes the form of a method for tracking the stability of a data set for multiple observers. More particularly, a tracker object may be used to both mark a particular state of the data and to query if the data remains unchanged. Code that accesses the data set to calculate a result may fetch a reference to a current tracker object associated with the data set. The code may compare the current tracker object received from the data set against the tracker object associated with the last cached result. In an alternate arrangement, a state may be associated with the data set to indicate some characteristics of the data set. The state value associated with the data set may further simplify the action required by a code accessing the data set to receive an accurate calculation.