System and method for automatic load balancing of cluster storage

Abstract

The invention discloses a system and method for automatic load balancing of cluster storage. Based on an event driving mechanism, the method is used for realizing cluster storage data distribution and capacity load balancing and has the characteristics of full automation, intelligentization, online execution and concurrent execution; due to the characteristic of the automation of load balancing, the manual intervention is greatly reduced and the complexity of system management is reduced, and the elastic demand of dynamic extension for a cluster storage system is satisfied; due to the characteristic of online execution, the cluster storage system is enabled to keep the continuity of a business; due to the characteristic of intelligentization, the current work load of the system is taken into full account, and the execution process of load balancing is scheduled so that the influence of load balancing operation to a normal business at the front end is reduced to the maximum extent; and due to the characteristic of concurrency, the system resource of a cluster is utilized to the maximum extent so that high-performance load balancing is realized and the execution time is efficiently shortened. By using the method, the load balancing of cluster storage becomes simpler as well as more efficient and transparent, and high performance, high Qos (Quality of Service) and elastic expansion of the cluster storage system are ensured.

Description

technical field [0001] The invention relates to the technical field of cluster storage management, in particular to a system and method for automatic load balancing of cluster storage. Background technique [0002] With the expansion of computing scale and the emergence of emerging application models (such as cloud computing, Internet of Things), big data applications are increasing day by day. Cluster storage is a scale-out storage architecture that has the advantage of linear expansion in capacity and performance. Load balancing is one of the key technologies for cluster storage to provide high performance. It can ensure the stability of cluster high performance and high QoS service quality, and make the cluster system have good elasticity to adapt to the dynamic expansion of the cluster. [0003] Cluster storage is an open storage architecture that uses a distributed file system to aggregate the storage space in multiple physical storage devices into a storage pool that ...

AI Technical Summary

Problems solved by technology

[0008] The above-mentioned mainstream cluster storage systems basically support the load balancing function to keep the data distribution and capacity of each node in the cluster basically balanced. 2) Offline execution requires the cluster system to suspend services during load balancing, causing business interruption; 3) It affects front-end performance, and the workload of each node is not considered during execution, which may easily lead to system overload and affect normal operation Business access; 4) Single-node execution, a node is responsible for performing load balancing, which cannot be executed concurrently, with low performance and long time-consuming

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