Cloud computing virtual machine migration method based on load curve similarity

Abstract

The invention provides a cloud computing virtual machine migration method based on load curve similarity. obtaining residual resource utilization rate curves of all physical machines and resource utilization rate curves of all virtual machines to be migrated, according to a Pearson correlation coefficient formula, a similarity vector composed of the similarity of each type of resources is obtained, and finally the Euclidean distance is obtained according to the similarity vector and the average resource utilization rate so as to determine the virtual machine and the target physical machine needing to be migrated. According to the invention, the load of the overload physical machine within a period of time is taken as the standard of migration instead of paying close attention to the load condition at the moment of overload, so that the target physical machine is effectively prevented from overload within a period of time after migration, the migration frequency is reduced, and the energy consumption is reduced. Meanwhile, the similarity of the curves is used as one of migration standards, so that the virtual machine to be migrated and the target physical machine are complementary as much as possible, and the load of the target physical machine is more balanced.

Description

technical field [0001] The invention belongs to the related fields of cloud computing and virtualization, and in particular relates to a cloud computing virtual machine migration method based on load curve similarity. Background technique [0002] The initial goal of cloud computing is to strengthen the management of resources, mainly in three aspects: computing resources, network resources and storage resources. The main way to strengthen management is to improve the flexibility of time and space. Time flexibility, that is, services can be provided at any time when users need them. The flexibility of space, that is, to provide services according to the amount of resources required by each user. The combination of time and space flexibility is the elasticity of cloud computing. [0003] In order to improve the elasticity of cloud computing, many solutions have been proposed. The initial solution is to provide physical equipment capabilities, that is, to increase the hard...

AI Technical Summary

Problems solved by technology

[0005] In real life, it is often necessary to migrate an overloaded physical host, but many live migration algorithms only consider the resource usage of the virtual machine on the physical machine at the moment of overload to select the target physical machine

However, the resource utilization of different virtual machines usually changes over time, which may cause the virtual machine to be migrated to the target host for a period of time and cause the target host to be overloaded again, requiring migration again, which not only increases the number of migrations, but also Increased energy consumption, reduced virtual machine performance

Images