Distributed system capable of implementing energy saving and consumption lowering, and control method for energy saving and consumption lowering

Abstract

The invention discloses a distributed system which is capable of realizing control of energy saving and consumption reducing and a method thereof. The distributed system comprises a master control set and at least two business processing devices. The control method includes the following steps: A. the master control set configures an energy saving and consumption reducing mode for each business processing device, and the energy saving and consumption reducing mode includes at least one of a resting energy saving mode and a lower electric energy saving mode; B. according to the business load of each business processing device, the master control set decides the energy saving and consumption reducing rule of each business processing device and controls each business processing device to adjust the working state according to the decided energy saving and consumption reducing rule. The distributed system and the method of the invention have the advantages that the load equipartition principle of the distributed system is not changed, good energy saving effect and simple and convenient energy saving and consumption reducing treatment of the whole system.

Description

technical field [0001] The invention relates to a distributed system capable of implementing energy-saving and consumption-reducing control and an energy-saving and consumption-reducing control method thereof. Background technique [0002] At present, the method of energy saving and consumption reduction in the distributed system is mainly solved by reducing the main frequency of the central processing unit (CPU). There are mainly two actual processing methods. One method is to regard the entire distributed system as a whole , when consumption reduction is required, the CPU frequency of all processing nodes is reduced at the same time. The processing strategy of this method is relatively simple, and the level of frequency reduction cannot be determined according to the actual load capacity of the system. In the process of reducing consumption, if an unexpected event occurs, the processing load will suddenly increase, and the processing capacity of the system cannot be recove...

AI Technical Summary

Problems solved by technology

This results in that the processing loads of the business processing devices of the same status in the distributed system are not the same. Some business processing devices have extremely heavy processing loads, such as business processing device 1, and some business processing devices have extremely light loads, such as business processing Device 2, which violates the processing principle of load sharing in distributed systems

[0004] In addition to being unbalanced, the load distribution strategy of this method is also relatively complicated. The main control device needs to comprehensively calculate and predict the future load status of the system, and the burden is heavy.

If the business processing device 1 fails, the traffic analysis device needs to immediately count, calculate, and distribute business traffic, and redistribute energy-saving commands, so it cannot send relevant commands in time to adjust business load distribution, which may cause system packet loss and business failure

In addition, the energy-saving strategy of this distributed system is too simple. In any case, all devices are in working state, and the energy-saving effect is not obvious.

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