Method and device of online energy-saving dispatching in cloud computing data center

Abstract

The embodiment of the invention discloses a method and a device of online energy-saving dispatching in a cloud computing data center. The method comprises that an application scene which the embodiment aims at is that resources in the data center are dispatched online; that is to say, a dispatching system does not known all the virtual machine requests in the data center, but only can distribute the virtual machines one by one online and in real time. The dispatching system distributes the virtual machines to suitable physic machines based on the specification and service time of the virtual machine task requests and the use condition of the current data center resource. The serial number of the physic servers is regarded as priority when the virtual machine task requests are distributed, and the physic servers with secondary high distribution priority are considered after tasks are sequentially distributed to all physic servers with high priority. Meanwhile, the virtual machine resources on different physic machines are further integrated together in combination with suitable migration every a period of time. Therefore, through reasonable and efficient utilization of resources of the physic machines, the total boot time of the physic servers is reduced and accordingly the purpose of reducing the energy consumption of the data center is reduced.

Description

technical field [0001] The invention relates to the technical field of computer communication, in particular to a method and device for reducing energy consumption of a data center. 1. Background technology [0002] The invention relates to energy-saving technologies for cloud computing data centers. In the era of cloud computing, how to efficiently and economically manage data center resources is a challenging problem. Data centers consume a lot of energy and cause environmental pollution. Therefore, it is of great significance to design a reasonable energy-saving scheduling algorithm to manage the resources of the data center, reduce the energy consumption of the data center, reduce the operating cost, and reduce the environmental pollution caused by energy consumption. Although there are already some data center energy-saving scheduling algorithms such as the round-robin scheduling algorithm and the Modified Best Fit Decreasing (MBFD) algorithm, they do not specifically...

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Problems solved by technology

[0006] In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: 1. The above-mentioned energy-saving scheduling method does not consider the heterogeneous situation of virtual machine task requests and physical machine resources

2. The life cycle of the physical machine and the virtual machine task is not considered, that is, the physical machine and the virtual machine have a certain period of time.

3. The delay of the virtual machine task request is not considered

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