Runtime Bytecode Call Transformation for Java Map Performance
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Solution Overview
Problem
Existing Java APIs, such as Map and ConcurrentMap, require clients to wait for return values during put operations even if they are not needed, leading to unnecessary slowdowns in application code, especially in scenarios where data is distributed across multiple machines.
Innovation Solution
A method and system that analyze application code at runtime to determine if return values are used, transforming calls to either a fast implementation that does not return values or an alternative slow implementation that avoids monitoring operations, optimizing performance by eliminating unnecessary waits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the client invokes the put operation that returns a previous value, then the client can obtain the correct previous value, but the client experiences unnecessary wait time even when the return value is not needed
Solution Approach 1:
The system dynamically transforms the put operation implementation at runtime based on whether the return value is needed. The bytecode transformation agent analyzes the call site and replaces calls to the returning put operation with calls to a non-returning put operation when the return value is not used, making the system adaptive to runtime conditions.
Solution Approach 2:
The invention changes the operational parameters of the put operation by providing two versions: one that returns the previous value and one that does not. The bytecode transformation selectively invokes the appropriate version based on runtime analysis of whether the return value will be used, effectively changing the behavior parameter of the operation.
2Ease of operation
If the API is designed to always return a previous value, then the API maintains consistency and simplicity, but the application performance deteriorates due to unnecessary waits
Solution Approach 1:
The bytecode transformation agent acts as an intermediary between the client code and the put operation implementation. It analyzes the client code to determine whether the return value is needed and automatically selects the appropriate put operation version, shielding the client from the complexity of having to choose between different API versions.
Solution Approach 2:
The system performs self-optimization by automatically analyzing its own execution patterns and transforming its behavior. The bytecode transformation agent monitors runtime behavior and autonomously replaces put operation calls with optimized versions without requiring external intervention or code modification from the client.
3Productivity
If the client code is re-written to be parameterized for Infinispan cache, then the performance can be optimized by choosing different put operations, but the code loses portability and requires proprietary modifications
Solution Approach 1:
The bytecode transformation agent provides universal optimization that works with any Map implementation, not just Infinispan cache. It uses reflection and runtime analysis to identify put operation calls and transform them appropriately, making the optimization technique applicable across different data structures and implementations without requiring proprietary code modifications.
Data Source
AI summary
A method and system for optimizing application code via transformation of calls made by the application code during runtime. A computer system loads the application code that has been intermediately compiled into bytecode. The computer system then compiles and executes the application code. During runtime, the application code makes a call from a call site to an implementation of an operation that returns a value to the application code. The computer system runs an implementer of the implementation and an agent that operates independently of a compiler. The agent receives a notification of the call, performs an analysis on the application code during runtime to determine whether the value is used by the application code, and optimizes the application code by transforming the call site based on a result of the analysis.