Energy saving method based on distributed management

Abstract

The invention discloses an energy saving method based on distributed management. The method comprises local management and overall management, management tasks are distributed to the local management of all nodes through the distributed management, and the overall management is only used for collecting the information of the local management and making decisions. The local management is mainly used for monitoring abnormal conditions, and migration is carried out by selecting a virtual machine with a too high or too low cpu use ratio at the physical node with abnormality. The overall management is mainly used for judging and evaluating all the physical nodes, and at last, the physical node which the virtual machine should be migrated to is obtained. A data center with a distributed virtual machine management method is adopted in a large-scale cloud computing system, reliable service quality can be guaranteed, and meanwhile the high efficiency and energy saving of the data center are achieved.

Description

technical field [0001] The invention relates to the technical field of cloud computing virtualization, in particular to a method for saving energy consumption based on distributed management. technical background [0002] Cloud computing, in simple terms, is to use system architecture technology to integrate thousands of servers to provide users with flexible resource allocation and task scheduling capabilities. [0003] In recent years, cloud computing has become a research and application hotspot of computing models. The cloud computing model requires large-scale computing infrastructure to support it. However, these large-scale computing infrastructures consume a large amount of power resources, and this power consumption is increasing year by year. According to IDC's estimate, from the perspective of operating cost control, in the IT industry, energy consumption costs have reached 25% of hardware procurement costs. However, the data is rising at an average annual grow...

AI Technical Summary

Problems solved by technology

Although the centralized management method can achieve a certain energy-saving effect, there are still some problems: (1) Since the centralized management method adopts continuous optimization, and each optimization is a recombination of all virtual machines, it is bound to occur during the management process. cause a large number of virtual machine migrations

(2) The centralized management method is only suitable for small-scale clusters. When the system expands to a large-scale cloud computing system, the centralized management method will be difficult to manage

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