Java Class Loader Optimization via JIT Static Redirects
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Solution Overview
Problem
In Java-based distributed computing systems, the process of unmarshaling objects requires extensive CPU time for computing the Latest User Defined Class Loader (LUDCL) for each object, especially in custom marshal scenarios where the class loader transitions, leading to inefficiencies due to the need for repeated computation.
Innovation Solution
Implementing a method that determines whether a caller method has a specific signature, identifies a callee method, and converts it to a second method, allowing for the retrieval of a class object and optimization of the class loader process by avoiding expensive stack walks through the use of a JIT compiler to transform method calls into static redirected calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the LUDCL is computed for every unmarshalled object to ensure accuracy, then the reliability of class loader identification is improved, but the CPU time consumption increases significantly
Solution Approach 1:
The patent applies preliminary action by computing the LUDCL once at the beginning of the unmarshaling process and caching the result. This preliminary computation is performed only once per object graph instead of repeatedly for each object, significantly reducing the total CPU time while maintaining identification accuracy through the use of stack trace analysis to determine the correct class loader context.
Solution Approach 2:
The patent uses copying by creating a cached version of the LUDCL result that can be reused across multiple unmarshaling operations. The computed class loader information is stored and referenced subsequently, avoiding the need to recompute the same LUDCL for different objects within the same context, thus reducing redundant CPU operations.
2Adaptability or versatility
If the LUDCL is recomputed for each object in custom marshal scenarios, then the adaptability to different class loaders is improved, but the productivity of the unmarshaling process decreases
Solution Approach 1:
The patent performs preliminary class loader identification using stack trace analysis before the actual unmarshaling begins. By determining the LUDCL in advance based on the calling context and stack frames, the system establishes the correct class loader mapping once and reuses it throughout the unmarshaling process, maintaining adaptability to different class loader configurations while significantly improving unmarshaling speed.
Solution Approach 2:
The patent implements feedback mechanisms by analyzing the stack trace information and using it to determine the appropriate class loader context. The system continuously monitors the execution context and adjusts the class loader selection based on the actual calling methodology, ensuring correct class loader identification while avoiding repeated computations through cached results.
3Measurement precision
If stack walks are performed to identify the LUDCL, then the measurement precision of the class loader context is improved, but the CPU time consumption increases
Solution Approach 1:
The patent performs stack trace analysis as a preliminary action to capture the calling context before the expensive unmarshaling operation begins. By analyzing the stack frames in advance and extracting the relevant class loader information, the system prepares the necessary context data upfront, avoiding the need for repeated stack walks during subsequent unmarshaling operations and significantly reducing overall CPU time consumption.
Data Source
AI summary
A computer-implemented method for class load optimizing. The method determines whether a caller method within the class has a specific signature call using the context of the class. The method determines a callee method within the class using the context of the class. Furthermore, the method retrieves a class object of the class and converts the callee method to a second method, in response to the caller method having the specific signature, the callee method being of the specific signature and callee method being the first argument of the caller method.