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    • 4. 发明授权
    • Optimizing application performance through data mining
    • 通过数据挖掘优化应用程序性能
    • US07975256B2
    • 2011-07-05
    • US10881968
    • 2004-06-30
    • Steven Edward AtkinMargot Bruce CaseyTyron Jerrod Stading
    • Steven Edward AtkinMargot Bruce CaseyTyron Jerrod Stading
    • G06F9/44G06F9/45
    • G06F8/73G06F8/443
    • Metadata describing common Java classes is extracted and utilized to optimize a Java program's performance based on the code requirements of the application. Data mining techniques extract metadata and other information about different sets of JVM byte code written by multiple vendors to determine the design choices and optimizations made by each vendor in implementing their JVM. Then, byte code in a Java application being programmed is analyzed in comparison to each vendor's JVM metadata and information. Based upon the application's requirements (for example footprint, performance, etc.), recommendations are generated that yield a newly compiled rt.jar that combines the best practices of each vendor together or recommends a particular vendor's standard JVM that is best suited for the application.
    • 提取和使用描述常见Java类的元数据,以根据应用程序的代码要求优化Java程序的性能。 数据挖掘技术提取关于由多个供应商编写的不同JVM字节代码集的元数据和其他信息,以确定每个供应商在实现其JVM时所做的设计选择和优化。 然后,与每个供应商的JVM元数据和信息进行比较,分析正在编程的Java应用程序中的字节码。 根据应用程序的要求(例如,脚印,性能等),会生成一个产生新编译的rt.jar的建议,该rt.jar将每个供应商的最佳实践结合在一起,或者推荐一个最适合应用程序的特定供应商的标准JVM 。