Ordering cloud monitoring system based on performance requirement and construction method thereof

Abstract

The invention provides an ordering cloud monitoring system based on a performance requirement. The system comprises a computing cluster, a monitoring module, and an ordering module, wherein the computing cluster comprises at least one physical node, and the ordering module constructs at least one virtual machine in at least one physical node according to a preset parameter, the hardware parameter of each physical node and a preset virtual machine construction instruction. The invention also provides a construction method of the ordering cloud monitoring system based on a performance requirement, virtual machines can be distributed in multiple physical nodes through multiple modes according to the preset virtual machine construction instruction, thus the task requirement of a user is satisfied by the performance of the virtual machine, and thus the user can flexibly and efficiently set the virtual machines.

Description

[0001] This application claims the priority of the Chinese patent application with the application number 201611088969.4 submitted to the China Patent Office on December 1, 2016. The contents are incorporated by reference in this application. technical field [0002] The invention relates to the field of cloud computing, in particular to a performance requirement-based parallel sequence cloud monitoring system and a construction method. Background technique [0003] Cloud computing is another great change after the big change from mainframe computer to client-server in the 1980s. It is Distributed Computing, Parallel Computing, Utility Computing and Network Storage. Storage Technologies), virtualization (Virtualization), load balancing (Load Balance), hot backup redundancy (High Available) and other traditional computer and network technology development and fusion products. [0004] The cloud computing platform provides users with available, convenient, and on-demand netwo...

AI Technical Summary

Problems solved by technology

Using this method, firstly, the user does not know the specific performance of the physical machine, and does not have a good control over the performance of the virtual machine; secondly, the cloud service provider does not know the specific task requirements of the user, and the physical The performance of the virtual machine may not be able to meet the user's task requirements well; moreover, in this way, the performance of the virtual machine is limited by the single physical machine itself. When a large-scale fault occurs on the monitored server, the task demand of the disaster transfer service will increase sharply, which may cause the virtual machine to be overloaded and cause downtime, and may even cause the performance of the physical machine to deteriorate due to long-term overloaded operation. damaged

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