Ceph-based network target range rear-end storage system design method

Abstract

The invention relates to a Ceph-based network target range rear-end storage system design method, and relates to the technical field of information security. The invention provides a construction method of a network target range rear-end storage system under a cloud architecture in order to solve the problems existing in an existing network target range rear-end storage system. According to the method, the Ceph is combined with the OpenStack, the Ceph is used as Nova in the OpenStack; an identity authentication service Keystone of the OpenStack is bound with a Ceph object gateway at a storagerear end of a Glance, Cinder native component, and secondary development of management application is carried out based on a Ceph gateway module. The method can effectively improve the deployment efficiency and the storage security of the network target range. Therefore, the functions of second-speed starting of the virtual machine, real-time migration of the virtual machine, data fragmentation storage, data full backup, data incremental backup and the like in the network target range are achieved.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to a method for designing a back-end storage system of a Ceph-based network shooting range. Background technique [0002] As an important infrastructure for responding to network security threats, testing network countermeasure technology and equipment, practicing network offensive and defensive tactics, and cultivating and generating network offensive and defensive confrontation capabilities, network shooting ranges are used by many network security departments. At present, the construction of network shooting ranges is mostly based on the OpenStack open source cloud computing platform. [0003] The back-end storage in the network shooting range can be divided into virtual machine system storage, mirror (target) storage, and logical volume storage. At present, the back-end storage system of the network range generally relies on the native components of OpenStack. Due...

AI Technical Summary

Problems solved by technology

[0004] The deployment efficiency of the network shooting range is low, and it takes a lot of time to copy the image (target) file between different hosts

[0005] The virtual machines in the shooting range use a single-point storage mode, which poses a security risk of a single point of failure

[0006] The migration efficiency of virtual machines in the shooting range is low and cannot be migrated from time to time

[0007] The virtual machine data backup speed is slow, and the storage capacity of the hardware itself cannot be used for backup, and incremental backup cannot be realized

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