Management method and device for distributed system

Abstract

The invention discloses a management method and device for a distributed system. The distributed system comprises meta data service nodes and data nodes; the method comprises the following steps: grouping all disks in the distributed system to obtain multiple service groups and multiple energy saving groups; transferring read-write businesses of the multiple energy saving groups to the multiple service groups, and performing deceleration or dormancy on the disks in the multiple energy saving groups; enabling the multiple service groups to run the businesses at full speed. According to the management method and device, all the disks in the distributed system are divided into the plurality of service groups and the plurality of energy saving groups, the read-write businesses of the multiple energy saving groups are transferred into the multiple service groups, deceleration or dormancy is performed on the disks in the energy saving groups, and the service groups are enabled to rotate at full speed and normally serve; the problem of long business switching time caused by whole node shutdown for energy conservation is avoided, and energy conservation processing on the system can be effectively performed by using business characteristics.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a distributed system management method and device. Background technique [0002] A distributed file system generally includes a client, a metadata server and a data server. The client is responsible for formulating the access interface of the file data, the metadata server handles the layout and attributes of the file, and the data server stores the data content of the file. [0003] For the distributed file system, the ability to store massive data is its most important feature, and massive data is accompanied by the existence of a large number of disks and data nodes, and the energy consumption of disks in data nodes is very large, and the business of the system The pressure is often different according to the time period. When the business pressure is small, a large number of data disks are in an empty state, which generates a lot of unnecessary power consumption and directly ...

AI Technical Summary

Problems solved by technology

[0003] For the distributed file system, the ability to store massive data is its most important feature, and massive data is accompanied by the existence of a large number of disks and data nodes, and the energy consumption of disks in data nodes is very large, and the business of the system The pressure is often different according to the time period. When the business pressure is small, a large number of data disks are in the no-load state, which generates a lot of unnecessary power consumption and directly increases the cost of using the distributed file system.

[0004] For this problem, the solution adopted by the prior art is to divide different nodes into different physical partitions, shut down the nodes in the partitions or save energy for the whole machine, but since the whole node is in the shutdown and energy-saving state in this method, then When the business needs to access the data on it, the switching time from the shutdown or energy-saving state to the full-speed working state will be too long, which will directly lead to the delay of the access time of the upper layer.

[0005] For the above-mentioned problems in related technologies, no effective solution has been proposed yet

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