Cloud resource redistribution method and system based on peak usage rate

Abstract

The invention provides a cloud resource redistribution method and system based on a peak usage rate. The method comprises the following steps: an EC recommendation value obtaining step: obtaining an EC recommendation value of a virtual machine based on the peak usage rate; and a judgment step: based on the obtained EC recommendation value of the virtual machine, judging the resource distribution condition of a resource pool physical server, the resource distribution condition of each node of application load balance and the resource distribution condition of each virtual machine of the same application system. According to the invention, through cloud resource redistribution of a high-performance and high-availability minicomputer, based on the peak usage rate of one year in the past, the contradiction between the large demand of online resources of the system and the fact that the distributed resources are not fully utilized actually is solved from the perspective of resource ratio, so that the optimization of the overall bearing capacity of the resource pool is realized; from the perspective of resource distribution, the contradiction of unbalanced distribution of each virtual machine among physical servers of a resource pool is solved, so that maximization of performance and high availability is guaranteed.

Description

technical field [0001] The present invention relates to the technical field of redistribution of cloud resources, in particular, to a method and system for redistribution of cloud resources based on peak utilization rate, especially to a method for reallocation of cloud resource redistribution of minicomputers based on peak utilization rate . Background technique [0002] In the data centers of the financial industry, minicomputers are still responsible for ensuring the safe and stable operation of important information systems by virtue of their powerful high reliability and strong performance advantages. With the development of resource pool cloudification, that is, the traditional architecture of a single minicomputer is transformed into a cloud architecture consisting of multiple minicomputers connected as a cluster, which not only improves the computing power of the information system, but also realizes the ability to optimize resource allocation. . [0003] The Chine...

AI Technical Summary

Problems solved by technology

However, in practice, we found that this one-size-fits-all approach often leads to the contradiction between "the system requires a lot of online resources" and "the allocated resources are not actually fully utilized".

In addition, with the expansion of the resource pool scale, the contradiction of uneven distribution of each virtual machine among the physical servers in the resource pool becomes more and more prominent, which not only affects the performance maximization of computing power of the information system, but also weakens cloud resources to a certain extent. high availability

At present, there is no efficient redistribution method for the above two contradictions in the industry

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