CN105677516A - Method for efficient and reliable backup recovery in calculation approach storage cloud platform - Google Patents

Method for efficient and reliable backup recovery in calculation approach storage cloud platform Download PDF

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Publication number
CN105677516A
CN105677516A CN201610012607.0A CN201610012607A CN105677516A CN 105677516 A CN105677516 A CN 105677516A CN 201610012607 A CN201610012607 A CN 201610012607A CN 105677516 A CN105677516 A CN 105677516A
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virtual machine
server
backup
snapshot
cloud platform
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CN201610012607.0A
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CN105677516B (en
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邹同亮
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Chengdu Seadee Technology Co Ltd
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Chengdu Seadee Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1448Management of the data involved in backup or backup restore
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1479Generic software techniques for error detection or fault masking
    • G06F11/1482Generic software techniques for error detection or fault masking by means of middleware or OS functionality
    • G06F11/1484Generic software techniques for error detection or fault masking by means of middleware or OS functionality involving virtual machines

Abstract

The invention discloses a method for efficient and reliable backup recovery in a calculation approach storage cloud platform. The problems of performance lowering and poor data reliability and system availability caused by data backup recovery in the calculation approach storage cloud platform are solved. The method of combining real-time backup and snapshot and combining local backup and cross-server backup is utilized, the difference snapshot is performed locally, and the snapshot is synchronized to a backup server when primary and standby server resources are idle. For a virtual machine which is high in real-time requirements, backup is performed locally in a file mode through monitoring of virtual machine file changes, and the backup is synchronized to the backup server after a certain time or when primary and standby resources are idle. Thus, not only is running and backup consumption reduced, but also virtual machine and primary and standby server abnormalities can be quickly recovered to a current or specified time point, and the problem of system crash and even complete data loss caused by crash of a distributed file system is solved. Integral performance and high reliability of the cloud platform are greatly improved, and the goal of calculation approach storage is achieved genuinely.

Description

A kind of calculate the back-up restoring method of high efficient and reliable in storage cloud platform
Technical field
The present invention relates to a kind of calculating near storing the back-up restoring method of high efficient and reliable in cloud platform.
Background technology
Development along with the Internet and mobile Internet, cloud computing technology based on the technology such as virtualization has goed deep into all trades and professions, it is polymerized demand assigned feature by its resource and just progressively replaces existing IT architecture, systematic function and High Availabitity in cloud platform, data are safe and highly reliable is the emphasis index paid close attention to.
Being generally adopted high-end SAN and distributed file system does data storage for ensureing that data are highly reliable, main preserve virtual machine associated documents, the former price, reliability is high, dynamic scalability is poor, is just progressively replaced by the latter. ServerSAN or vSAN of the latter and current trend, main method is the distributed file system (such as Ceph, GlusterFS etc.) that superposition is increased income on local file system basis, virtual machine file is put into distributed file system, server accesses as distributed type file system client side, the copy mechanism utilizing distributed file system ensures that data are highly reliable, the one station server machine of delaying can be delayed the virtual machine machine server from other startup of server, thus ensureing virtual machine High Availabitity. Additionally in cloud platform, IO is maximum performance bottleneck, for reducing IO loss, makes virtual machine operate in the server at its data place as far as possible, namely calculates near storage. But distributed file system mode perfection can not reach this purpose, because itself being determine data storage location according to memory space, calculate and be difficult to consistent with storage resource, particularly distributed file system is that balanced storage adopts burst memory mechanism, virtual-machine data is big file, can be sliced different server and preserve. This mode adds intermediate link, and performance loss also ratio is more serious, and particularly IO performance can be greatly reduced near storage than real calculating. Reason is to calculate and be spaced distributed file system between storage, in the access of distributed file system, client to first pass through distributed file system server and find document location (memory node), again through storage node accesses data, may there is multiple node in data, these nodes not necessarily with client at same server, if so requiring over network to access, increasing the time delay of IO undoubtedly, network I/O performance is a poor order of magnitude than this locality.Additionally for ensureing High Availabitity, data variation to backup in copy, how no matter Current resource all can constantly be backed up if taking, particularly copy to write the hard disk of other server by network, and after receiving response, just can carry out I/O operation next time, middle time delay can be relatively larger, when particularly running into obstruction, this can affect very much virtual machine response speed, and the application this kind of I/O resource of virtual desktop taking height, Consumer's Experience requirement high is mortal wound.
It addition, the reliability of distributed file system is relative, once distributed file system collapse cannot recover to cause that Servers-all data are all lost, this will be catastrophic consequence; And virtual-machine data is lost (as deleted, attacking by mistake) its copy and is also lost in real time, and copy is unreliable on the contrary.
Summary of the invention
For above-mentioned situation, there is provided herein the virtual machine file backup method based on difference snapshot in a kind of cloud platform, combining with difference snapshot in real time, local backup and cross-server are backed up and combines, difference snapshot is first done in this locality, the resynchronisation of active/standby server resource space idle shines backup server soon, compares distributed file system mode and is not substantially reducing under system high-available premise, is effectively improved systematic function and data reliability.
To achieve these goals, the technical solution used in the present invention is as follows:
A kind of calculating the back-up restoring method of high efficient and reliable in storage cloud platform, back up including virtual machine, step is as follows:
(1) in distributing server, virtual machine file, to other servers, sets up virtual machine and the belonging relation of main frame, backup server in data base, and principal and subordinate is one to one or one-to-many;
(2) virtual machine being carried out incremental snapshot, form read-only and read-write snapshot document, the former is used for recovering virtual machine to the appointment time, and the latter is used for depositing current update content;
(3) snapshot is synchronized to the backup server that virtual machine is corresponding;
(4) timing merges snapshot, and snapshot and virtual machine file are merged.
Further, also include virtual machine and recover, operate as follows: when backup server detect main frame delay machine time, then delay the virtual machine on machine server in locally initiating backup.
Yet further, also include the switching of virtual machine master slave mode, operate as follows:
When server damages, when data cannot be recovered, backup virtual machine is set to main frame, then backups at other server;
Add server when newly, it is necessary to partial virtual machine is moved to wherein, and during as the master server of this virtual machine, utilize static migrating virtual machine (vm) migration to new server for off-duty virtual machine, then change master slave relation; For operating virtual machine, it is necessary to new server of backing up in realtime, on legacy server, close virtual machine after completing backup, restart virtual machine at new server.
Further, described step (3) synchronizing process is: Timing Synchronization snapshot document is to backup server, or real-time synchronization snapshot document is to backup server.
It addition, when real-time synchronization snapshot document to backup server, it is necessary to whether detection active/standby server resource occupation amount is idle, and time idle, then synchronisation snapshot file is in backup server.
Additionally, when real-time synchronization snapshot document to backup server, it is necessary to the monitoring read-write file change of virtual machine automatically, once update, adopt difference form file synchronization to backup server.
The present invention compared with prior art, has the following advantages and beneficial effect:
Present invention reduces system cost, improve virtual machine performance and virtual desktop user is experienced, ensured that data are reliable and system High Availabitity.The restriction of main backup operation completes at one's leisure, backs up in realtime and also limits resource consumption. Virtual machine runs and backup all needs not move through distributed file system special secondary school, it is not required that each renewal both passes through network and achieves by backup server and confirm, it is thus only necessary to snapshot confirms once and backs up in realtime confirmation, greatly reduces the resource consumptions such as IO.
Virtual machine file takies dispersion backup by server resource, do not have distributed file system collapse cause whole system to work that even data all lose is great hidden. Run into the machine of delaying and on other server, quickly can start all virtual machines, though run into server damage completely cause data cannot recover can also on other server again disperse backup. And both can pass through to back up in realtime to return to currently, it is also possible to return to certain time point by snapshot, meet different requirements.
Accompanying drawing explanation
Fig. 1 is virtual machine of the present invention backup schematic flow sheet.
Fig. 2 is that virtual machine of the present invention recovers schematic flow sheet.
Fig. 3 is virtual machine master slave mode switching flow schematic diagram of the present invention.
Detailed description of the invention
Below in conjunction with drawings and Examples, the invention will be further described, and embodiments of the present invention include but not limited to the following example.
Embodiment
Calculating the back-up restoring method of high efficient and reliable in storage cloud platform as it is shown in figure 1, a kind of, back up including virtual machine, step is as follows:
(1) in distributing server, virtual machine file, to other servers, sets up virtual machine and the belonging relation of main frame, backup server in data base;
(2) virtual machine is carried out incremental snapshot; Such as 10 minutes or 30 minutes snapshots once, specifically can dynamically arrange as required. The catenulate file combination of virtual-machine data shape after snapshot, each snapshot produces a new file and is used for preserving real-time update data, and file above is read-only status, forms multiple read-only file and a read-write file after such multiple snapshots.
(3) snapshot is synchronized to the backup server that virtual machine is corresponding;
(4) timing merges snapshot, snapshot and virtual machine file is merged, reduces snapshot number, to reduce memory space and to improve virtual machine performance.
Specifically, step (3) synchronizing process is: Timing Synchronization snapshot document is to backup server, or real-time synchronization snapshot document is to backup server; When real-time synchronization snapshot document to backup server, it is necessary to detection synchronizes priority and whether active/standby server resource occupation amount is idle, generally during the free time, synchronisation snapshot file is in backup server, if requirement of real-time height, real-time synchronization is preferential.
It addition, the virtual machine that needs are backed up in realtime, it is necessary to the monitoring read-write file change of virtual machine automatically, once update, adopt difference form file synchronization to backup server
Recover as in figure 2 it is shown, present invention additionally comprises virtual machine, operate as follows:
When virtual machine place server is normal, passing through when being only virtual-machine fail backs up in realtime file or impinge upon the machine automatic or manual soon resumes operation.
When virtual machine place server is delayed machine, can recover according to the automatic or manual reforestation practices of configuration. For automatic mode, whether backup server detects main frame machine of delaying automatically true, determine true after delay the virtual machine on machine server in locally initiating backup, manual mode is then completed by manager, no matter manually or automatically all can first forbid startup virtual machine on other server.The machine server of delaying need to detect virtual machine running status to run virtual machine on it after resuming operation, and being in stopped status could run.
As it is shown on figure 3, present invention additionally comprises the switching of virtual machine master slave mode, operate as follows:
When server damages, when data cannot be recovered, it is necessary to backup virtual machine is set to main frame, and backups at other server; Whether concrete can lose by first artificial judgment server data, if losing, arranging master-slave swap, starting automated back-up after setting, and virtual machine is distributed to different server backup.
Add server when newly, it is necessary to partial virtual machine is moved to wherein, and during as the master server of this virtual machine, utilize static migrating virtual machine (vm) migration to new server for off-duty virtual machine, then change master slave relation; For operating virtual machine, it is necessary to new server of backing up in realtime, on legacy server, close virtual machine after completing backup, restart virtual machine at new server.
According to above-described embodiment, the present invention just can be realized well. What deserves to be explained is; under premise based on said structure design, for solving same technical problem, even if some making in the present invention are without substantial change or polishing; the essence of the technical scheme adopted is still the same with the present invention, therefore it should also be as in protection scope of the present invention.

Claims (6)

1. one kind calculates the back-up restoring method of high efficient and reliable in storage cloud platform, it is characterised in that including virtual machine backup, step is as follows:
(1) in distributing server, virtual machine file, to other servers, sets up virtual machine and the belonging relation of main frame, backup server in data base, and principal and subordinate is one to one or one-to-many;
(2) virtual machine being carried out incremental snapshot, form read-only and read-write snapshot document, the former is used for recovering virtual machine to the appointment time, and the latter is used for depositing current update content;
(3) snapshot is synchronized to the backup server that virtual machine is corresponding;
(4) timing merges snapshot, and snapshot and virtual machine file are merged.
2. according to claim 1 a kind of calculate the back-up restoring method of high efficient and reliable in storage cloud platform, it is characterized in that, also include virtual machine to recover, operate as follows: when backup server detect main frame delay machine time, then delay the virtual machine on machine server in locally initiating backup.
3. according to claim 1 a kind of calculate the back-up restoring method of high efficient and reliable in storage cloud platform, it is characterised in that also include the switching of virtual machine master slave mode, operate as follows:
When server damages, when data cannot be recovered, backup virtual machine is set to main frame, then backups at other server;
Add server when newly, it is necessary to partial virtual machine is moved to wherein, and during as the master server of this virtual machine, utilize static migrating virtual machine (vm) migration to new server for off-duty virtual machine, then change master slave relation; For operating virtual machine, it is necessary to new server of backing up in realtime, on legacy server, close virtual machine after completing backup, restart virtual machine at new server.
4. according to claim 1 a kind of calculate the back-up restoring method of high efficient and reliable in storage cloud platform, it is characterized in that, described step (3) synchronizing process is: Timing Synchronization snapshot document is to backup server, or real-time synchronization snapshot document is to backup server.
5. according to claim 4 a kind of calculate the back-up restoring method of high efficient and reliable in storage cloud platform, it is characterized in that, when real-time synchronization snapshot document to backup server, need detection active/standby server resource occupation amount whether idle, time idle, then synchronisation snapshot file is in backup server.
6. according to claim 5 a kind of calculate the back-up restoring method of high efficient and reliable in storage cloud platform, it is characterized in that, when real-time synchronization snapshot document to backup server, need the monitoring read-write file change of virtual machine automatically, once update, adopt difference form file synchronization to backup server.
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CN107705553A (en) * 2017-01-13 2018-02-16 西安艾润物联网技术服务有限责任公司 Pass in and out car data processing method and parking lot controller
CN107705387A (en) * 2017-01-12 2018-02-16 西安艾润物联网技术服务有限责任公司 Pass in and out car data processing method and parking lot controller
CN107957920A (en) * 2017-10-31 2018-04-24 清远恒成智道信息科技有限公司 Database backup system
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CN108958883A (en) * 2018-06-15 2018-12-07 北京奇艺世纪科技有限公司 The restoration methods and system of virtual machine in cloud computing cluster
CN111800476A (en) * 2020-06-14 2020-10-20 洪江川 Data processing method based on big data and cloud computing and cloud big data server

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CN108241743B (en) * 2018-01-04 2020-05-12 杭州复杂美科技有限公司 Block chain snapshot method
CN108241743A (en) * 2018-01-04 2018-07-03 杭州复杂美科技有限公司 A kind of block chain Snapshot Method
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CN108958883A (en) * 2018-06-15 2018-12-07 北京奇艺世纪科技有限公司 The restoration methods and system of virtual machine in cloud computing cluster
CN108958883B (en) * 2018-06-15 2021-04-09 北京奇艺世纪科技有限公司 Recovery method and system for virtual machine in cloud computing cluster
CN108874590A (en) * 2018-06-16 2018-11-23 武汉商启网络信息有限公司 A kind of system of cloud host automated back-up and recovery
CN111800476A (en) * 2020-06-14 2020-10-20 洪江川 Data processing method based on big data and cloud computing and cloud big data server

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