International Business Machines Corporation

Ren Fu Ma

Xin Peng Liu

Xiao Liang Hu

Yuan Yuan Li

Guoqing Wang

Peng Fei Tian

Tian Ming Pan

Bo Chen Zhu

Wu Song Fang

Li Xiang

Yang Che

Yan Bin Hu

Li Jing Mu

Jun Yu Zhang

In an approach, a processor obtains a first set of training samples, one of the training samples including values of a plurality of performance indicators of a target system observed at a historical point in time. A processor determines whether the first set of training samples are qualified for training a prediction model, the prediction model predicting an operational status of the target system at a target point in time based on values of the plurality of performance indicators observed at the target point in time. A processor, in response to determining that the first set of training samples are qualified for training the prediction model, trains, the prediction model based on the first set of training samples.

Predicting operational status of system

Implementations of the present disclosure relate a method, system and computer program products that dynamically compile conditional statements. According to the method, a first number of times that a first conditional statement of a plurality of conditional statements has been satisfied during execution of the plurality of conditional statements for a time period is obtained, wherein the plurality of conditional statements are compiled in a first order during the execution. Based on the first number of times and the first order, a determination is made whether the plurality of conditional statements are to be reordered. In response to a determination that the plurality of conditional statements are to be reordered, a second order of the plurality of conditional statements is determined, wherein the second order being different from the first order. The plurality of conditional statements are then compiled in the second order.

Dynamic compiling for conditional statements during execution

This disclosure provides a computer-implemented method for monitoring an application at runtime. The method comprises building up a calling relationship graph for at least one type of system method called at runtime, by checking a stack trace generated when the application is running. An application method of the application that directly or indirectly calls this type of system method is represented as a node in the calling relationship graph. The method further comprises determining one or more target nodes in the calling relationship graph by analyzing the structure of the calling relationship graph. The method further comprises inserting callback methods into application method(s) of the application corresponding to the one or more target nodes only in a calling side. The method further comprises monitoring the application at runtime by using said callback methods.

Optimization for application runtime monitoring

Growing community of inventors

Beijing, China

Ren Fu Ma