A Parallel Cloud Monitoring System and Construction Method Based on Performance Requirements

Abstract

The present invention provides a parallel-sequence cloud monitoring system based on performance requirements, including: a computing cluster, a monitoring module, and a parallel-sequencing module; wherein, the computing cluster includes at least one physical node; and the parallel-sequencing module Set parameters, hardware parameters of each of the physical nodes, and preset virtual machine construction instructions to construct at least one virtual machine on at least one of the physical nodes; the present invention also provides a parallel cloud monitoring based on performance requirements The construction method of the system can distribute the virtual machine on multiple physical nodes in various ways according to the preset virtual machine construction instructions, so that the performance of the virtual machine can better meet the user's task requirements, and the user can be more flexible and efficient. The placement of the virtual machine.

Description

technical field [0001] 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 [0002] 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. [0003] The cloud computing platform provides users with available, convenient, and on-demand network access. Users enter a configurable shared pool of computing resources (resources include networks, servers, storage, application software, and services), and can quickly obtain the above resources with little management work and little intera...

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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