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Cloud computing data center energy saving method based on ANN (artificial neural network)

An artificial neural network and data center technology, applied in the field of cloud computing data center energy saving based on artificial neural network, to achieve the effect of reducing management costs, reducing the probability of errors, and reducing the process of manual intervention

Inactive Publication Date: 2014-03-19
LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an energy-saving method for cloud computing data centers based on artificial neural networks for the current energy-saving management problems of cloud data centers

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  • Cloud computing data center energy saving method based on ANN (artificial neural network)

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Embodiment

[0022] In the energy-saving management system of the present invention, the acquisition and monitoring system is composed of an operating system kernel task counter, an operating system kernel scheduler monitor, an operating system kernel load balancing program monitor, an operating system kernel memory allocation program monitor, and an operating system kernel interrupt routing monitor. The acquisition system consists of a processor load monitor, a system memory load monitor, and a system storage load monitor. And system network load monitor and other components.

[0023] The system's key resource load information obtained by the monitoring system and the acquisition system and the operating status data of each key resource management subsystem of the operating system are used as the input of the automatic policy derivation system, and the disturbance of random factors is effectively reduced to suppress the system's operating strategy. Jitter is a necessary condition for term...

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Abstract

The invention provides a cloud computing data center energy saving method based on an ANN (artificial neural network), and designs an energy saving technology based on the ANN so as to solve problems of variable energy consumption, load and power dissipation load of a cloud computing data center. According to the energy saving technology, collected various data are input into the ANN, and an energy saving strategy applicable to a current system state is automatically generated. A system comprises three parts of a collection control system, an automatic strategy derivation system and an energy-saving master control system, load and power dissipation data in the system are input into the ANN, an energy saving strategy according with a current system operating state is automatically generated by means of the processing advantages of the ANN to nonlinear complex data, operating modes of components in the system are automatically adjusted according to the strategy, and loads of a whole monitored system are allocated in a more concentrated manner on the premise that system stability and application performance requirements are guaranteed, so that energy consumption is reduced at a higher degree.

Description

technical field [0001] The invention relates to the technical field of server energy saving, in particular to an artificial neural network-based energy saving method for a cloud computing data center. Background technique [0002] Cloud computing is an important form of information infrastructure and application service models in the Internet age, and an important trend in the intensive development of a new generation of information technology. The mode provides high-efficiency, low-cost, low-power computing and data services to support various information applications. Cloud computing is an innovation of computing mode and application service mode, which will change the pattern of the information industry, and will also have a wide-ranging and profound impact on the national economy and social life. [0003] Our government attaches great importance to energy saving, emission reduction and energy efficiency improvement. As the fifth largest energy-intensive industry, the i...

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Application Information

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IPC IPC(8): G06F1/32G06F9/50G06N3/02
CPCY02D10/00
Inventor 刘璧怡谢若鸿何志平吴楠
Owner LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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