Dynamic energy consumption control method based on multi-objective constraints

Abstract

The invention discloses a dynamic energy consumption control method based on multi-objective constraints. The method comprises the following steps: testing the upper limit average power consumption values of various X86 servers in service operation; dynamically obtaining the detailed information of a service operation resource pool and the detailed information of service operation from a resourcescheduling system; dynamically establishing a service operation energy consumption management group and a non-service operation energy consumption management group, and updating and operating host information of the service operation energy consumption management group and the non-service operation energy consumption management group; and setting an average power consumption upper limit value anda corresponding time region for the service operation energy consumption management group according to the acquired upper limit average power consumption limit values of the various servers, and setting a shutdown strategy for the non-service operation energy consumption management group. By means of the method, the timeliness relation of operation is analyzed, the service operation energy consumption management group and the non-service operation energy consumption management group are dynamically established, and the green and energy-saving effect is achieved to the maximum extent on the premise that the service operation timeliness is not affected.

Description

technical field [0001] The present invention relates to the technical field of green energy saving, in particular to a dynamic energy consumption control method based on multi-objective constraints. Background technique [0002] In the field of green energy saving, Intel chips currently have DCM energy-saving technology, which is mainly divided into three categories: the first category is to establish a shutdown group for servers with low utilization rate to control shutdown; the second category is to realize energy saving through linkage between temperature detection and air conditioning ; The third category is to limit the upper limit of the CPU power consumption of the server with high utilization rate through the Power Capping technology of Intel DCM, so as to realize energy saving. [0003] These three types of technologies can achieve different degrees of energy-saving effects on servers, but these energy-saving technologies do not start from the perspective of satelli...

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Problems solved by technology

[0003] These three types of technologies can achieve different degrees of energy-saving effects on servers, but these energy-saving technologies do not start from the perspective of satellite applications, and combine satellite business operation resource pools, business operation time, and operation timeliness to achieve operational timeliness and server efficiency. Dynamic energy saving method with multi-objective constraints such as power consumption limitation and dynamic power on and off

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