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Performance prediction method for application software in manufacturing environment

A technology of application software and production environment, applied in the direction of software testing/debugging, etc., can solve the problems of failing to meet the verification of new version application software, avoiding performance risks, and large limitations, so as to eliminate the limitations of version verification and avoid performance risks performance, avoiding hardware investment, and improving investment effectiveness

Active Publication Date: 2008-07-02
CHINA TELECOM CORP LTD
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Problems solved by technology

[0006] Existing capacity planning cases are all based on online production application software, and need to obtain the performance data of the production environment, which can only meet the situation of equipment selection for online application software capacity expansion, etc., with relatively large limitations, and cannot meet the requirements of new version application software on-line Pre-validation, performance risk avoidance, etc.

Method used

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  • Performance prediction method for application software in manufacturing environment
  • Performance prediction method for application software in manufacturing environment
  • Performance prediction method for application software in manufacturing environment

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Embodiment Construction

[0020] Before describing the embodiments of the present invention in detail, the following terms are first defined:

[0021] business load model : Refers to the results of modeling the load supporting application software from a business perspective, including key business parameters that affect application software performance and their combination relationships, which can be used to define performance requirements or business forecast analysis. The main input of modeling is business volume statistics Wait.

[0022] capacity planning : Refers to the process of matching the system load to the most suitable server hardware required to support the load in order to ensure that the application software can work efficiently in the future, and is used to guide capacity design and investment to ensure the rationality of IT spending. Capacity planning requires corresponding technical means to predict the service level that the application software can provide under the assumed har...

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Abstract

A method for predicting performance of an application software under production environment based on low-end stimulation environment performance test and capacity planning comprises the following steps: establishing a service load model of an application software to be tested according to service load information; converting the service load model of the application software to be tested to a service load pressure model of the application software based on Little law; making a performance test plan of the application software under a low-end stimulation environment according to the service load pressure model of the application software and a deduced scene; carrying out the performance test of the application software by stimulating the pressure of a real service load under the low-end stimulation environment and collecting performance data of the application software; and inputting the performance data of the application software into a capacity planning tool and predicting the performance of the application software under the production environment based on the capacity planning prediction.

Description

technical field [0001] The invention relates to computer application software performance testing and performance evaluation, more specifically, relates to a performance prediction method of application software in a production environment based on low-end simulation environment performance testing and capacity planning. Background technique [0002] At present, software performance issues are getting more and more attention. The 2002 report of Newport Group, which is engaged in independent technology market surveys, shows that: 53% of CIOs (Chief Information Officers) often pay attention to application software performance. 5 times; In addition, 75% of CIOs expressed concern about whether the application performance can reach the expected level, and this figure has also increased by 30% compared with 1999. [0003] Considering many reasons such as cost, many production application software lack a simulation environment that is completely consistent with the deployment of th...

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Application Information

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IPC IPC(8): G06F11/36
Inventor 杨润华宋平波蔡坚铮徐雄张玉忠胡欣欣
Owner CHINA TELECOM CORP LTD
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