International Business Machines Corporation

Railway Engineering Research Institute, China Academy of Railway Sciences Co., Ltd.

China Academy of Railway Sciences Co., Ltd.

Yong Yao

Yu Zhang

Tan Jiang

Liang Wang

Gang Huang

Li Yi

Ling Lan

Xue Xiang Cui

Xin Li

Xin Peng Liu

Jian Li

Bo Liu

Lei Zhang

Hong Yu Chen

Xi Ning Wang

Xuan Zhang

Zhao Liu

Zehua Dong

Tao Jia

Yu Cheng

Yang Che

Jian Cui

Yufang Zhang

Kun Yuan

Jiawei Fan

Pan Chen

Zhen Xin Jiao

Tao Wei

Gongming Chen

Xiaobing Li

Shuangquan Lei

Shiwen Huang

Hao Lan

Shengyong Zeng

Fei Xian

Wenxin Tan

Ning Xuan

Junjie Zeng

Wenchao Zhang

Lining Du

Provided are a system and a method for impact testing and monitoring of a high-energy flexible net. The system includes a vertical impact testing unit, a slope impact testing unit, an impact simulation unit, and an impact monitoring unit. The vertical impact testing unit includes a vertically positioned gravity wall. The slope impact testing unit includes a wall slope positioned perpendicularly to a second side of the gravity wall. A first side of the gravity wall and a slope surface of the wall slope are securely provided with a flexible net, respectively. The impact simulation unit includes an impact assembly and a lifting assembly. The impact monitoring unit is configured to monitor a deformation result and an internal force change result of the flexible net.

Systems and methods for impact testing and monitoring of high-energy flexible nets

One or more processors acquire dependency metadata, where the dependency metadata is used for representing dependency on data among at least two components of an application. The processor(s) acquire error information and data output, where the error information is used for describing errors that occur while running the application, and where the data output includes data output by the at least two components while running the application. The processor(s) analyze, based on the error information, dependency metadata and data output relevant to the error information, where the analyzing includes determining, based on a null pointer exception in the error information and dependency metadata corresponding to the null pointer exception, that corresponding data has not been output by a component corresponding to the null pointer exception. The processor(s) then use an analysis result to improve the operation of a computer that is running the application.

Adjusting an operation of a computer using generated correct dependency metadata

One or more processors acquire dependency metadata, where the dependency metadata is used for representing dependency on data among at least two components of an application. The processor(s) acquire error information and data output, where the error information is used for describing errors that occur while running the application, and where the data output includes data output by the at least two components while running the application. The processor(s) analyze, based on the error information, dependency metadata and data output relevant to the error information, where the analyzing includes determining, based on a null pointer exception in the error information and data output of a component corresponding to the null pointer exception, that there is an error in dependency metadata corresponding to the null pointer exception. The processor(s) then provide an analysis result to improve the operation of a computer that is running the application.

One or more processors acquire dependency metadata, where the dependency metadata is used for representing dependency on data among at least two components of an application. The processor(s) acquire error information and data output, where the error information is used for describing errors that occur while running the application, and where the data output includes data output by the at least two components while running the application. The processor(s) analyze, based on the error information, dependency metadata and data output relevant to the error information, where the analyzing includes determining, based on a null pointer exception in the error information and data output of a component corresponding to the null pointer exception, correct dependency metadata corresponding to the null pointer exception. The processor(s) then provide an analysis result to improve the operation of a computer that is running the application.

A method, apparatus, and/or computer program product analyzes data processing. Dependency metadata, which is used for representing dependency on data among at least two components of an application, is acquired. Error information, which is used for describing errors that occurred while running the application, and data output, which includes data output by components used to run the application, are acquired. Based on the error information, dependency metadata and data output relevant to the error information are analyzed to provide an analysis result. The analysis result includes at least one of: a prompt for an error correction method, a relevant dependency metadata leading to an occurrence of an error, and relevant data output leading to an occurrence of an error.

In one embodiment, a method includes a processor deploying one or more scripts in a first deployment instance, where the first deployment instance is deployed from a first shared computing environment. The processor determines a difference between the first deployment instance at deployment and the first deployment instance at runtime and based on this determination, selects a first script from the one or more scripts. The processor captures a representation of the first deployment instance and selects a second script, where second script sets up relationships between resources of the first deployment instance in a subsequently deployed deployment instance. The processor utilizes the representation, the first script, and the second script to deploy a second deployment instance from a second shared computing environment.

Deployment of instances amid configuration changes

The present invention relates to mechanisms for managing VM instances. More specifically, the mechanisms provide at least one VM instance in a resource pool. A configuration requirement is provided with respect to a virtual machine, the configuration requirement describing a first amount of application resources to be installed on the virtual machine. Based on the configuration requirement, a resource tree is built describing a dependency relation between the first amount of application resources. At least one VM instance corresponding to a sub-path of the resource tree is provided in the resource pool, where on each VM instance in the at least one VM instance there are installed application resources included in the sub-path.

Managing a virtual machine instance

A method, apparatus, and/or computer program product analyzes data processing. Dependency metadata, which is used for representing dependency on data among at least two components of an application, is acquired. Error information, which is used for describing errors that occurred while running the application, and data output, which includes data output by components used to run the application, are acquired. Based on the error information, dependency metadata and data output relevant to the error information are analyzed to provide an analysis result. The analysis result includes at least one of: a reason why an error occurs, a prompt for an error correction method, a relevant dependency metadata leading to an occurrence of an error, and relevant data output leading to an occurrence of an error.

Data processing analysis using dependency metadata associated with error information

Growing community of inventors

Beijing, China

Yong Yao