Log-management optimizing method for clustered storage system

Abstract

The invention provides a log-management optimizing method for a clustered storage system, wherein the method comprises the following steps of: carrying out centralized management and analysis by sending the log of each node onto a log server by adopting two real-time modes, storing a log file according to an analyzing result, establishing a compressed strategy, establishing a log-index table for the logs by utilizing a database, and finally showing the log-inquiring result of each module to a user through a log-viewing strategy; and the method comprises a log-centralizing strategy module, a log-analyzing strategy module, a log-storing strategy module and a log-displaying strategy module, the method is used for carrying out centralization, analysis and collection and optimizing log storage for the logs dispersed at each clustered node, the mistaken log information of the clustered storage system can be rapidly positioned by a system manager by providing the log-viewing strategy, the useful log information is clearly obtained, the integral operating condition of each application module is known, the log record of the system is effectively tracked in time, and the safety of the system is guaranteed.

Description

[0001] technical field [0002] The invention relates to the technical field of cluster storage management. Cluster storage is a storage method that distributes data to each node in the cluster, and provides a single interface and interface, so that users can conveniently use and manage all data in a unified manner. Cluster storage management is to implement software deployment configuration and environment monitoring for the cluster nodes that make up the cluster storage system, so that it can meet the deployment requirements of the cluster storage system. When a cluster node fails, the cluster system must respond quickly, and the distributed Storage space is transferred to other nodes. It is particularly important to detect abnormal information about node failures and to detect the transfer of cluster storage system resources. Background technique [0003] In the era of explosive growth of information, the file size and data scale have become a reality, and the number of ...

AI Technical Summary

Problems solved by technology

In the actual operation of the cluster storage system, one of the more popular cluster storage system log management methods is to send system logs regularly or in real time, which realizes the centralized transmission of logs, but without analyzing and managing the logs, it is impossible to understand the entire system as a whole. The operation status of the cluster storage system cannot quickly locate the error message

However, as the number of cluster nodes increases, the management of the cluster system becomes more and more complicated, and it becomes more and more difficult to accurately locate the error log information of the cluster nodes

The traditional log management method is to send system logs regularly or in real time, which realizes the centralized transmission of logs, but does not analyze and organize the logs. As the number of nodes increases, the number of application modules increases, the amount of log information is huge, and the entire cluster cannot be understood globally The operation status of the storage system cannot quickly locate the error message

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