Content-Based Caching in Managed Runtime Environments
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Solution Overview
Problem
Managed runtime computing environments face inefficiencies due to time-consuming and resource-intensive processing of source code at runtime, particularly when dynamic code generation is required, leading to performance degradation.
Innovation Solution
Implementing a content-based caching system within the runtime environment that compares input data with cached entries, using message digests or direct comparisons to retrieve or generate transformations, thereby reducing the need for repeated processing and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If source code is dynamically processed at runtime, then system flexibility and adaptability are improved, but processing time and computing resource usage increase significantly
Solution Approach 1:
The patent pre-processes source code into an intermediate representation (IR) format before runtime execution. This IR format is a compiled, optimized form that can be quickly loaded and executed without requiring full compilation at runtime. By performing the heavy compilation work in advance and storing the results in cache, the system achieves both flexibility (can load different IR representations dynamically) and efficiency (avoid repeated full compilation).
Solution Approach 2:
The patent transforms source code into different representation formats with varying levels of optimization and compilation. The system can select appropriate representation parameters based on runtime needs - using fully compiled IR for performance-critical paths while maintaining the ability to generate IR on-demand for new functionality. This parameter transformation approach balances processing overhead with execution speed.
2Adaptability or versatility
If source code is dynamically processed at runtime, then system adaptability is improved, but computing resource consumption increases
Solution Approach 1:
The system performs computationally intensive source code compilation in advance and caches the intermediate representations. This preliminary action eliminates the need for repeated full compilation cycles during runtime, dramatically reducing CPU usage and energy consumption when loading and executing code dynamically. The cache stores pre-processed IR that requires minimal processing to load and execute.
Solution Approach 2:
The patent creates and stores copies of source code in optimized intermediate representation format. Instead of re-compiling source code each time it needs to be executed, the system loads cached IR copies that have already been processed. This copying approach preserves the ability to adapt to new code while avoiding the expensive compilation process, thus reducing computing resource usage.
3Productivity
If source code preprocessing is performed, then code execution efficiency is improved, but additional processing steps and complexity are introduced
Solution Approach 1:
The patent divides the code processing pipeline into distinct segments: source code compilation to intermediate representation, IR optimization, and runtime execution. By segmenting the process, the system can cache the IR representation separately from the execution engine, allowing independent optimization of each stage. The segmentation enables the runtime system to load and execute IR without requiring the full compilation pipeline, reducing operational complexity while maintaining execution efficiency.
Solution Approach 2:
The intermediate representation serves as an intermediary format between source code and executable code. This IR layer acts as a mediator that decouples the compilation process from runtime execution, allowing the system to cache and reuse compiled representations without re-invoking the full compilation pipeline. The intermediary IR format simplifies runtime operations by providing a standardized, pre-processed input format that requires minimal additional processing steps.
Data Source
AI summary
A computer-implemented method of caching data in a managed runtime computing environment can include loading source data and comparing content of the source data with at least one of a plurality of cache entries. Each cache entry can include a representation of previously received source data and a transformation of the previously received source data. A transformation for the source data from a cache entry can be selected or a transformation for the source data can be generated according to the comparison. The transformation for the source data can be output.