Intelligent cloud desktop performance testing system and method

Abstract

The invention discloses an intelligent cloud desktop performance testing system and method. The intelligent cloud desktop performance testing system includes a scene load collection module, a platform information collection module to be tested, a load generation module, a load scheduling and execution module, and a monitoring module , test result analysis module, user interaction module, and the scene load collection module are used to collect loads in different scenarios; the information collection module of the platform to be tested is used to collect specific information of the platform to be tested, including the number of nodes of the platform to be tested, each node Physical configuration information, operating system information, software version information, network configuration information, etc., and store these information for use by the load generation module. The invention can intelligentize the test process and comprehensively test the scene. The tested cloud desktop can automatically obtain relevant information from the server according to the requirements to generate the test load of the corresponding scene. The process of changing the test scene does not need to manually modify the cloud desktop, which solves the problem of the fixed load test method. There is a large deviation between the test scene and the actual scene.

Description

technical field [0001] The present invention relates to a test system and method, in particular to an intelligent cloud desktop performance test system and method. Background technique [0002] At present, the performance test of cloud desktops is generally to set the cloud desktops to simulate daily business scenarios, and verify the capacity of the cloud desktops that can be carried on the designated server by running a certain number of load desktops; the existing technology has the following defects: 1. Test The desktop loads of different processes have been formed during the initial creation, and cannot be dynamically adjusted and controlled; if the load or business scenario is redesigned, it needs to be reconfigured. Second, when the desktop actually runs the test scenario, the actual load data cannot be collected; it is impossible to judge whether the desktop load meets the user's actual business scenario. Third, when the same batch of desktops changes from low load ...

AI Technical Summary

Problems solved by technology

[0002] At present, the performance test of cloud desktops is generally to set the cloud desktops to simulate daily business scenarios, and verify the capacity of the cloud desktops that can be carried on the designated server by running a certain number of load desktops; the existing technology has the following defects: 1. Test The desktop load of different processes has been formed at the time of initial creation, and cannot be dynamically adjusted and controlled; if the load or business scenario is redesigned, it needs to be reconfigured

2. When the desktop actually runs the test scenario, the actual load data cannot be collected; it is impossible to judge whether the desktop load meets the user's actual business scenario

3. When the same batch of desktops changes from low load to high load, there is no comparison of the capacity of desktops with different loads that the server can carry, and the change of server performance

Fourth, the test process requires a lot of manual intervention, which is time-consuming and labor-intensive, and the subjectivity of manual operation and evaluation will also affect the objectivity of the test results, resulting in inaccurate test results

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