A parallel-sequenced cloud monitoring system and construction method based on load balancing

Abstract

The present invention provides a parallel-sequence cloud monitoring system based on load balancing, including a computing cluster, a monitoring module, and a parallel-sequencing module; wherein, both the monitoring module and the parallel-sequencing module are connected to the computing cluster, The monitoring module is also connected to the monitored device through the network, the computing cluster includes at least one physical node, and the serialization module is used to obtain the number of the physical nodes, the hardware type of the physical nodes and each The hardware parameters of the physical nodes, and construct at least one virtual machine on at least one of the physical nodes according to the preset parameters and the hardware parameters of each of the physical nodes; the present invention also provides a parallel sequence based on load balancing The construction method of the cloud monitoring system can distribute a virtual machine on multiple physical nodes according to the score of the physical nodes and the preset weight coefficient, so as to realize the load balance between each physical node and enable users to more flexibly and efficiently Provision the virtual machine.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a parallel-sequenced cloud monitoring system and construction method based on load balancing. 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-mentioned resources with little management work and little int...

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 node to deteriorate due to long-term overloaded operation. damaged

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