Energy consumption optimization resource scheduling method for heterogeneous cloud data center

Abstract

The invention relates to an energy consumption optimization resource scheduling method for a heterogeneous cloud data center. The method comprises the following steps that 1, resource load information of a heterogeneous physical server and resource load information of a virtual machine are collected; 2, the resource load information and energy consumption parameters of the heterogeneous physical server are sent to a resource rescheduling decision maker; 3, the resource rescheduling decision maker obtains a resource rescheduling result with optimal energy consumption; 4, the resource rescheduling decision maker obtains resource rescheduling decision information, and sends the resource rescheduling decision information to a VM rescheduling actuator; 5, the VM rescheduling actuator conducts resource rescheduling according to the rescheduling decision information, namely, whether processing of rescheduling of the physical server is finished is judged, if yes, the step 1 is executed again, and if not, the step 6 is executed; 6, the mode of starting the physical server is executed according to the rescheduling decision information, and the step 5 is executed. The energy consumption optimization resource scheduling method for the heterogeneous cloud data center has the advantages of being capable of saving energy, and reducing the running cost of the cloud data center.

Description

technical field [0001] The present invention relates to a cloud data center energy management technology, in particular to an energy consumption optimization resource scheduling method for heterogeneous cloud data centers. Background technique [0002] In recent years, the high energy consumption of data centers has gradually become a prominent problem, especially with the advent of the cloud computing era, more computing resources and storage resources are concentrated in the cloud, which brings greater challenges to the efficient management of energy consumption. According to statistics, in 2006, about 6,000 data centers in the United States consumed about 61 billion kWh of electric energy, with a total value of 4.5 billion US dollars, exceeding the total energy consumption of all color TV sets in the United States that year. Data from the U.S. Department of Energy show that data center energy consumption accounts for 1.5% of all energy consumption in the United States, an...

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Problems solved by technology

[0004] Although a lot of research work has been carried out in the energy management direction of cloud computing in recent years, the current research on energy consumption scheduling of cloud data centers is mainly aimed at the scheduling of homogeneous servers, assuming that the energy consumption of physical servers in cloud data centers is The same, however, the actual cloud data center servers have heterogeneity such as different procurement time, different service life and different brands, even physical servers with the same physical resource size have different energy consumption

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