An energy-saving deployment device for an architecture-oriented application system in a cloud environment

Abstract

The invention relates to an architecture-oriented application system energy-saving deployment device in a cloud environment. The architecture-oriented application system energy-saving deployment device is erected on a server of a cloud data centre; and strategy scheduling of a virtual machine of the cloud data centre is carried out, so that the purpose of saving energy and increasing efficiency of the cloud data centre is achieved. The device comprises an architecture module generation module, an application system generation module, a monitoring evaluation module and a system scheduling module, wherein the architecture module generation module is used for generating an architecture template, and encapsulating information of the architecture template; the application system generation module is used for performing parameter configuration and instantiation of the architecture template generated and encapsulated by the architecture module generation module, so that an application system architecture is obtained; the monitoring evaluation module is used for performing acquisition of monitoring data and application system evaluation of the application system architecture obtained by the application system generation module; and the system scheduling module is used for performing configuration of an energy-saving strategy according to a system evaluation result of the monitoring evaluation module, and performing deployment and scheduling of various components of the application system according to the configured energy-saving strategy. Compared with the prior art, the architecture-oriented application system energy-saving deployment device disclosed by the invention has the advantages of being energy-saving, high in energy efficiency, free from hardware limitation and the like.

Description

technical field [0001] The invention relates to the field of automatic monitoring, operation and maintenance of a cloud computing data center, in particular to an energy-saving deployment device for an architecture-oriented application system in a cloud environment. Background technique [0002] Energy efficiency is a major cost driver in data centers, and energy use is an increasingly important factor in data center design. However, traditional data centers often only focus on wind, fire, water and electricity during the design process, considering geographical location, power supply, and redundancy level, etc., and rarely pay attention to the characteristics of the IT equipment carried, let alone the specific business applications on the upper layer. However, with the evolution of IT technology architecture, traditional data centers are gradually transitioning to cloud data centers. In the cloud data center environment, the supported computing scale and storage scale are s...

AI Technical Summary

Problems solved by technology

However, in the design process of traditional data centers, they often only focus on wind, fire, water, electricity, geographical location, power supply, and how many levels of redundancy, etc., and rarely pay attention to the characteristics of the IT equipment carried, let alone the specific business applications of the upper layer.

However, with the evolution of IT technology architecture, traditional data centers are gradually transitioning to cloud data centers. In the cloud data center environment, the supported computing scale and storage scale are significantly different from those of traditional data centers, even by several orders of magnitude. Therefore, The current data center generally has problems such as slow rack supply, poor expansion capability, and low energy efficiency.

[0003] At present, most manufacturers mainly improve their overall energy efficiency by optimizing the design of data centers and server hardware. However, this improvement method has certain limitations. After achieving a certain degree of energy efficiency improvement, the chance of further improving efficiency will be low. If you want to continue to improve energy efficiency, you can only rely on software for coordinated improvement

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