Cloud computing server resource on-line management method and system with energy consumption sensing function

Abstract

The invention provides a cloud computing server resource on-line management method and system with an energy consumption sensing function, and belongs to the field of computer high-performance computing. In the method and system, cloud computing server resources and energy consumption are managed mainly through collaborative operation of load balance control and energy consumption control, wherein according to load balance control, the quantity of resources distributed to different virtual machines is adaptively adjusted to maintain the load balance among the virtual machines so that all the virtual machines can obtain approximately consistent response time; according to energy consumption control, the frequency of a physical CPU is dynamically changed to keep the average response time of all the virtual machines tending to an ideal level so as to achieve the purpose of lowering energy consumption. By means of the method and system, the power consumption of a physical server can be effectively reduced while the performance of Web applications on the virtual machines is guaranteed, and thus the effect of on-line control over the energy consumption and performance of the cloud computing server is achieved.

Description

technical field [0001] The present invention relates to a method and system for improving cloud computing server resource management and energy saving efficiency, specifically an energy consumption-aware cloud computing server resource online management method and system, belonging to the field of computer high-performance computing. Background technique [0002] With the further prosperity of the Internet economy, the scale of the data center is expanding at an alarming rate, especially with the introduction of cloud computing and big data, the scale of the data center has been developed unprecedentedly, how to optimize the resources (especially servers) of the data center Efficient management is a challenging problem. At the same time, while data centers consume a lot of energy, they also bring carbon emissions that cannot be ignored. Therefore, it is of great significance to design an efficient and reasonable server resource control method and system for the resource man...

AI Technical Summary

Problems solved by technology

However, this assumption is often not true, because due to the complexity of the cloud computing server system, the linearization method is usually used for modeling, and the nonlinear factors in the real cloud computing server are often ignored in the modeling process (such as the Limited, and limited by the manufacturing process of the hardware itself; sudden web load can cause unknown fluctuations in the output of the system; the randomness of the internal processing of the computer, etc.)

Therefore, when sudden web loads cause severe perturbations at the output of the system, the performance of the online estimator becomes inaccurate, leading the controller to make wrong control choices), and in some cases, even causing the application's response Oscillations in time

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