International Business Machines Corporation

Andrew D Naumann

Curtis E Hrischuk

David Neal Brauneis, Jr

Jeffrey Eaton Care

Optimizing an application to reduce local memory usage. At least one executable class file of the application can be instrumented with analysis code, the executable class file including bytecode. The class file can be executed on a virtual machine, wherein during execution the analysis code generates data related to the application's use of local memory. The data related to the application's use of the local memory can be analyzed to generate a memory profile analysis. Based on the memory profile analysis, at least one portion of the bytecode can be automatically revised to reduce an amount of the local memory used by the application.

Optimization of an application to reduce local memory usage

A method of optimizing an application to reduce local memory usage. The method can include instrumenting at least one executable class file of the application with analysis code, the executable class file including bytecode. The method also can include executing the class file on a virtual machine, wherein during execution the analysis code generates data related to the application's use of local memory. The method further can include, via a processor, analyzing the data related to the application's use of the local memory to generate a memory profile analysis. The method further can include, based on the memory profile analysis, automatically revising at least one portion of the bytecode to reduce an amount of the local memory used by the application.

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Austin, TX, United States of America

Andrew D Naumann