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Memory management system and method considering application usage patterns analysis

机译:考虑应用程序使用模式分析的内存管理系统和方法

摘要

The present invention is a frame for generating execution information on when at least one or more applications have been executed and predicting an execution probability for each of the at least one application by learning a long short-term memory (LSTM) network with the generated execution information. It has an effect of utilizing memory more efficiently, including a work module and a kernel module that secures memory by terminating the application in the order of low execution probability of the application based on the predicted execution probability.
机译:本发明是一种框架,该框架用于生成关于何时至少一个或多个应用已被执行的执行信息,以及通过利用所生成的执行来学习长短期存储器(LSTM)网络来预测至少一个应用中的每个应用的执行概率。信息。它具有更有效地利用内存的效果,包括工作模块和内核模块,该模块通过基于预测的执行概率按应用程序的低执行概率顺序终止应用程序来保护内存。

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