Resource distribution method, device and terminal based on super-fusion storage system

Abstract

The invention discloses a resource distribution method, device and terminal based on a super-fusion storage system, relates to the technical field of storage, and aims to solve the problems that in the prior art, a distribution mode is not reasonable enough when storage resources are distributed for data, and thus, the storage resource distribution efficiency under the super-fusion storage systemis low. The method comprises the following steps: calculating storage requirements of to-be-stored data according to storage information of the to-be-stored data; acquiring a storage resource list; filtering the corresponding storage resources in the storage resource list by a preset rule and classification labels of the storage resources according to the storage requirements to obtain an available storage resource list, wherein the classification labels are used for classifying the storage resources according to different dimensions, and at least comprise one or more of position labels and performance labels; and distributing the storage resources corresponding to the available storage resource list for the to-be-stored data. The method is suitable for distributing the storage resources in the super-fusion storage system.

Description

technical field [0001] The present invention relates to the field of storage technology, in particular to a resource allocation method, device and terminal based on a hyper-converged storage system. Background technique [0002] With the continuous advancement of network technology, the amount of data in the network continues to grow, and the amount of data in the hyper-converged storage system is also gradually increasing. Among them, the hyper-converged storage system is an object-oriented distributed storage system, which aims to realize the integration of resources such as computing, network, storage and virtualized servers in the system, so as to aggregate multiple nodes through the network, Realize modular seamless horizontal expansion, and form the effect of a unified resource pool. When faced with the increasing amount of data in hyper-converged storage systems, the storage resources used to store data are often limited. Therefore, how to reasonably allocate storag...

AI Technical Summary

Problems solved by technology

However, in practical applications, the random allocation method cannot effectively realize the reasonable utilization of storage resources

At the same time, because storage resources of different attributes and locations will affect the access efficiency of data stored therein, for example, the access speed of data in a storage resource of type Solid State Disk (SSD) is faster than that of a mechanical hard disk. (Hard Disk Drive, referred to as HDD) in the storage resources of the data access speed is fast, so if the storage resources are allocated randomly, it is likely to store the data with a higher access rate in the storage resources with a slower response speed, and this obviously inappropriate

Therefore, when the existing technology allocates storage resources for data, the allocation method is not reasonable enough, resulting in low storage resource allocation efficiency under the hyper-converged storage system

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