Cloud desktop system quality control method based on software definition

Abstract

The invention discloses a cloud desktop system quality control method based on software definition, which belongs to the field of cloud desktops, and comprises the following steps of: constructing an expansion service of a cloud desktop based on software definition in the aspect of quality control, and around a quality association model on the expansion service, processing quality related data obtained by a quality related template closely related to a subdivision service mode, achieving flexible and efficient quality control, and forming a system quality management module by respectively adding corresponding components of quality control on an application layer, a control layer, an infrastructure layer and a data layer of a cloud desktop system infrastructure; specifically, a quality strategy module and a quality associated data template are added to an application layer, a data summarization module, a pre-judgment analysis module and a quality control model training module are added to a control layer, a quality sensing module and a task adjustment module are added to an infrastructure layer, and quality associated parameters are added to a data layer.

Description

technical field [0001] The invention relates to the field of cloud desktops, in particular to a software-defined cloud desktop system quality control method. Background technique [0002] The cloud desktop system is a terminal operating system based on virtualization technology. It usually consists of three infrastructures: access terminals, cloud servers, and virtual machine management software. It can customize standardized system templates according to application scenarios. The desktop transfer protocol realizes the localization of templates, effectively improving the efficiency of terminal operating system deployment and operation and maintenance. [0003] Existing cloud desktop systems are generally deployed in the form of server clusters, distributing control nodes, computing nodes, storage nodes, and network nodes on different servers. This separate cluster architecture can effectively reduce the coupling between cloud services , and supports incremental expansion. ...

AI Technical Summary

Problems solved by technology

[0005] However, the existing cloud desktop system architecture adopts customized and standardized system templates, one-click deployment and delivery, and the storage, network, computing, transmission and other links involved in the quality control of the cloud desktop system cannot be implemented in the system according to the different needs of users. Therefore, it is difficult to ensure the high quality and high performance of the system, especially when the system is abnormal or faulty, it will inevitably affect the consistency and integrity of the data to a certain extent, and will eventually greatly affect the efficiency and performance of the cloud desktop service. quality

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