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

Abstract

The present invention provides a parallel-sequence cloud service system based on load balancing, including a computing cluster and a parallel-sequencing module; wherein, the computing cluster includes at least one physical node, and the parallel-sequencing module is used to obtain preset parameters, the parallel serialization module is also used to obtain the number of physical nodes, the hardware type of the physical nodes and the hardware parameters of each physical node, and the parallel serialization module is also used to obtain the number of physical nodes according to the preset The parameters set and the hardware parameters of each of the physical nodes are used to construct at least one virtual machine on at least one of the physical nodes; the present invention also provides a method for constructing a load-balancing parallel cloud service system. The scores and preset weight coefficients distribute a virtual machine on multiple physical nodes, realizing load balancing among physical nodes and enabling users to deploy virtual machines more flexibly and efficiently.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a parallel-sequenced cloud service 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 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; moreover, in this way, the performance of the virtual machine is limited by the single physical machine itself. It may cause the virtual machine to be overloaded and cause downtime, and it may even cause damage to the performance of the physical node due to long-term overloaded operation

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