Synthetic Grouping of Processing Tasks to Reduce Processor Cycles
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Solution Overview
Problem
Existing software performance patterns are inadequate for efficiently reducing processor cycles when performing processing tasks that involve transforming a set of discrete inputs to a set of discrete outputs, particularly in cloud computing environments.
Innovation Solution
A computer-implemented method that identifies unique input values from a set of discrete inputs, performs the processing task for these unique values to generate discrete outputs, and assigns these outputs to processing tasks with the same discrete inputs, thereby reducing the number of processing cycles required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If processing tasks are performed for all discrete inputs individually, then completeness of processing is ensured, but processor cycles are excessively consumed
Solution Approach 1:
The patent merges processing tasks that share identical core logic requirements into a single execution. By identifying tasks with the same core logic (e.g., same Java or C# processing logic) and grouping them together, the system executes the core logic once and reuses the result for all merged tasks, thereby reducing processor cycles while maintaining processing completeness
Solution Approach 2:
The patent performs preliminary analysis to identify and group tasks with identical core logic before execution. By pre-categorizing tasks based on their core logic requirements and preparing the grouping structure in advance, the system avoids redundant processing during execution, thus reducing overall processor cycle consumption
2Use of energy by moving object
If processing tasks are grouped by unique input values, then processor cycles are reduced, but system complexity increases
Solution Approach 1:
The patent creates simplified copies or representations of task groupings based on unique input values. By copying the processing result for a unique input value and assigning it to all tasks sharing that input value, the system reduces complex individual processing into simpler replicated operations, thereby reducing processor cycles while managing complexity through systematic copying rather than intricate logic
3Reliability
If core logic is executed for every processing task, then accuracy of transformation is ensured, but computational intensity increases
Solution Approach 1:
The patent makes the core logic execution universal by identifying tasks that share the same core logic and executing it once for all such tasks. The single execution serves multiple functions (processing multiple tasks with identical logic requirements), ensuring transformation accuracy is maintained while dramatically reducing computational intensity through this multi-functional approach
Data Source
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AI summary
A computer-implemented method for reducing processor cycles when performing a set of processing tasks, the set of processing tasks involving transforming a set of discrete inputs to a set of discrete outputs, the method comprising: identifying a unique input value from the set of discrete inputs among the set of processing tasks; performing the processing task with the unique input value to generate a discrete output; and assigning the discrete output to the processing tasks of the set of processing tasks having the same discrete input as the unique input value. Preferably, the processing tasks are assigned to a plurality of synthetic groups. The method may be used for batch processing and/or may be implemented in a cloud computing environment.