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High performance tiered storage optimization method based on dynamic threshold adjustment in cloud storage system

A cloud storage system and dynamic threshold technology, applied in transmission systems, electrical components, etc.

Active Publication Date: 2021-09-28
XIANGTAN UNIV
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Problems solved by technology

[0005] The invention discloses a high-performance tiered storage optimization method based on dynamic threshold adjustment in a cloud storage system, which jointly determines the storage status of data objects through an optimization algorithm that cooperates with dynamic threshold adjustment and dynamic grading, so that the data objects are based on the optimal The storage strategy optimizes storage offline, so as to solve the problem of data migration jitter in the system and improve system performance

Method used

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  • High performance tiered storage optimization method based on dynamic threshold adjustment in cloud storage system
  • High performance tiered storage optimization method based on dynamic threshold adjustment in cloud storage system

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Embodiment Construction

[0017] like figure 2 Shown, the concrete implementation process step of the inventive method is:

[0018] Step 1. Information collection of each storage node in the cloud storage system:

[0019] 1) Periodically collect the status information of all storage nodes, including the CPU, memory, hard disk, network, read and write speed and other operating status information of the storage nodes, and obtain the data access service information of the storage nodes.

[0020] 2) Add the collected storage node status information to the node ID, process it into a node service status message and send it to the central server.

[0021] Step 2. According to the state information of all storage nodes in the cluster, partition the storage nodes according to the storage performance at the initial level:

[0022] 1) According to the storage node operation status information collected in step 1, the performance value of each storage node is calculated sequentially, which is recorded as SP.

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Abstract

The invention proposes a hierarchical storage method based on dynamic threshold adjustment in a cloud storage system. Firstly, the system storage resources are divided into levels according to performance, and the specific storage hierarchy is determined according to the overall system capabilities. Secondly, regularly scan each storage node of the system to obtain the latest system storage status and data access status, calculate the temperature value of the data, and compare it with the set threshold to generate a data storage level adjustment strategy. Then, dynamically adjust the hierarchical structure and the threshold according to the generated storage policy information. Finally, implement optimal storage placement on data objects. The invention can be applied to cloud storage clusters of different sizes, and has the advantages of reducing migration jitter and improving system performance.

Description

technical field [0001] The present invention mainly relates to the field of cloud computing, in particular to the field of hierarchical storage in cloud storage systems. Background technique [0002] With the explosive growth of data, the demand for storage is increasing day by day. The cloud storage system of large-scale equipment clusters is an effective technical means to solve the problem of efficient storage of massive data. Cloud storage technology is derived from cloud computing. Through cluster integration, distributed file system, network technology and other technologies, many devices in the cluster and application software and other resources work together to provide external data storage services with large throughput. [0003] Each storage node in a cloud storage system often has different storage capacity and storage performance. How to store massive data in these storage nodes with heterogeneous performance can improve the resource utilization of the cloud sto...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08
CPCH04L67/1008H04L67/1097
Inventor 龙赛琴曾令斌刘子浩周思恒幸运
Owner XIANGTAN UNIV
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