CN104331345A - Data recovery method - Google Patents
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- CN104331345A CN104331345A CN201410674819.6A CN201410674819A CN104331345A CN 104331345 A CN104331345 A CN 104331345A CN 201410674819 A CN201410674819 A CN 201410674819A CN 104331345 A CN104331345 A CN 104331345A
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Abstract
The invention provides a data recovery method, and aims to realize network data recovery in a cloud environment. The method comprises the following steps: providing a data backup area by each network node in the cloud environment for storing backup data of other network nodes; when the other network nodes issue data recovery requests, recovering data from the data backup area of the target network node for the network nodes issuing the data recovery requests; performing redundant backup and recovery of network data under a specific condition through a disaster tolerant redundant storage center; performing global control on network data recovery through a cloud control center in the cloud environment, and periodically rating and sieving the capability of providing data recovery of all network nodes in order to increase the efficiency of network database recovery in the cloud environment.
Description
Technical field
The present invention relates to field of cloud computer technology, particularly relate to a kind of network data recovery method under cloud environment.
Background technology
Cloud environment, refer to cloud computing environment, cloud computing (Cloud Computing) is the development of Distributed Calculation (Distrbuted Computing), parallel computation (Parallel Computing) and grid computing (Grid Computing), its ultimate principle is performed to multiple stage computing machine by network allocation by calculation task, and every platform computing machine is called a network node of system for cloud computing.
Date restoring as its name suggests, is exactly under system generation disaster scenario, restores the data to a nearest state, with the normal operation of safeguards system.Data are retained by data backup exactly in some way, to wreck or under other particular cases in system, and the process be again used.
Along with the rise of cloud computing, date restoring, data backup are supplied to numerous clients as a kind of mode of service and use more and more by the welcome of user, this recovery and backup services can be described as network data recovery under cloud environment, data backup.Compare with backup with traditional recovery, the network data recovery under cloud environment, data backup have plurality of advantages.First, the network data recovery under cloud environment, the installation of data backup, use, maintenance all than traditional recovery and backup software easier.Usual user only needs to install exquisite client or plug-in unit at modem, after task is set, both can recover and backup file data according to every day or backup interval weekly, also can carry out date restoring and backup in real time according to the actual demand of user.Secondly, as a kind of network service, the network data recovery under cloud environment, data backup itself solve the long-distance disaster problem of data, solve the technical barrier that user builds disaster tolerant backup system voluntarily., compare with backup with general recovery, the network data recovery under cloud environment, data backup more focus on the security of data transmission and data storage meanwhile.Data are usually at the process encrypts of transmission, and the data backed up are responsible for safeguarding that it stores and access security by professional service manufacturer.In addition, user only pays according to asked for recovery and backup services, when user's free time does not need service, the hardware and software expense that waste is extra need not be paid, and the retractility of service is very strong, and user can ask different services in different, and need not worry the upgrade problem of software and hardware, these problems are administered and maintained by the service facility of specialty, and user only carries out paying according to service.
Because cloud environment is a complicated network environment, and network data recovery under cloud environment and data backup procedure also often more complicated, it relates to coordination to all-network node and control, also will take into account efficiency and cost simultaneously.
Summary of the invention
In order to be optimized the network data recovery process under cloud environment, the Cooperation controlling problem under solution cloud environment between all-network node, the disaster tolerance redundancy backup problem of data under solution cloud environment; And in order to improve the efficiency of cloud environment lower network date restoring:
The present invention proposes a kind of data reconstruction method, and the method can realize the network data recovery under cloud environment.Wherein:
Network data recovery process under described cloud environment comprises the steps:
Step I: the data recovery request receiving user's local node, comprises the filename of data to be restored in described data recovery request;
Step II: file to be restored, as the destination node for date restoring, is downloaded from selected destination node and returned to user's local node by the network node under selection cloud environment;
Step II I: by the decrypt data to be restored downloaded;
Step IV: the data of deciphering are decompressed;
Step V: according to deciphering and the data after decompressing, obtain the file in data to be restored;
Wherein, described compression algorithm, decipherment algorithm are all predefined, and by the all-network nodes sharing under cloud environment.
Further, after described step I, further comprising the steps of before Step II:
The validity of identifying user identity and operating right; Wherein, described operating right comprises: upload, download, create, revise, copy, delete, check and search for;
If user identity empirical tests is invalid, then lock all operations authority of user;
If user identity empirical tests is effectively, but do not possess download permission, then forbid user carry out cloud environment under network data recovery, send prompting to user.
Further, each network node under cloud environment has a data backup area and a backup list;
Described data backup district is for backing up the backup data files from other network nodes, and all backup data files in described data backup district all store with the form of the Backup Data block of fixed size;
When the residual memory space in the data backup district of described network node is less than or equal to threshold value T_node, forbid carrying out data backup to this network node;
The value of threshold value T_node can be 10% of the data backup district total memory capacity of current network node;
Described backup list have recorded the BACKUP TIME of each file in described data backup district, fileinfo and proof test value, and described fileinfo comprises the filename of this file, file size and blocking information;
The described destination node for date restoring carries out following operation to Backup Data block to be restored:
Step a1: described Backup Data block to be restored is compressed;
Step a2: the Backup Data block of compression is encrypted;
Step a3: the Backup Data block after compression and encryption is sent to the user's local node needing to recover data;
Described user's local node carries out following operation after receiving the Backup Data block from described destination node:
Step b1: the Backup Data block from target node accepts is decrypted;
Step b2: the Backup Data block of deciphering is decompressed;
Step b3: according to deciphering and the Backup Data block after decompressing, obtain the file in data to be restored;
Wherein, the compression algorithm of data block, encryption/decryption algorithm are all predefined, and by the all-network nodes sharing under cloud environment.
Further, described step b3 comprises the following steps:
Step b3.1: carry out security sweep to each file that user obtains, if find containing the content of forbidding in certain file, then by the interception of this file and mark, sends prompting to user;
Described content of forbidding comprises: unlawful data, bad data, harmful data and/or may reveal the data of individual subscriber privacy;
Step b3.2: the log information of the network data recovery behavior of recording user, described log information comprises:
The network identity of user node, user name, operating right, recovery start time, recover the end time, whether complete the mark of full recovery and the fileinfo of each recovery file;
Wherein, the fileinfo of each recovery file comprises: the mark that filename, file layout, file size, file download recover address, source, whether the proof test value of file, file access pattern start time, file access pattern end time, file complete recovery.
Further, utilize the cloud control center C_center under cloud environment and disaster tolerance redundant storage center S_center to carry out the overall situation to the date restoring under cloud environment to control;
Described disaster tolerance redundant storage center S_center all sizes of redundancy backup can be greater than the file of threshold value T_max;
Wherein, described threshold value T_max represents in the data backup district of network node the maximal value allowing the Single document stored to take up space;
If there is the file that size is greater than threshold value T_max in described data to be restored, then user's local node directly will be downloaded from described disaster tolerance redundant storage center S_center and recover this file;
Described cloud control center C_center carries out overall control procedure to the date restoring under cloud environment and comprises the following steps:
Step QR1: after described cloud control center C_center receives the data recovery request of user, according to each filename in the data to be restored comprised in described data recovery request, inquire about the data backup that whether there is this file in described disaster tolerance redundant storage center S_center; If existed, then download from described disaster tolerance redundant storage center S_center and recover described file;
Step QR2: for the non-recovery file in described data recovery request, described cloud control center C_center, according to the filename of each non-recovery file comprised in described data recovery request, inquires about the data backup that whether there is this non-recovery file in the data backup district of every other network node successively;
If find to there is the data backup of this non-recovery file in the data backup district of a network node, then by user's local node that the BACKUP TIME of this file recorded in the address information of this network node and the backup list of this network node sends to request msg to recover;
Step QR3: the address information of the network node at non-recovery file place described in described user's local node sends according to described cloud control center C_center, downloads non-recovery file described in recovery, until complete described data recovery request from described network node;
Wherein, in step QR3, if non-recovery file has time different multiple data backups, then point out user according to this file of BACKUP TIME selective recovery of this file; If user does not make one's options, then acquiescence selects the up-to-date backup recovering this file automatically.
Further, in Step II, described download from selected destination node file to be restored returns to user's local node and comprises:
The All Files piecemeal of each file in the data to be restored of user's local node download user successively, particularly:
Step II .1: user's local node open up one piece of byte number be S internal memory as reception Buffer Pool, for storing the data block of reception;
Step II .2: the data block that user's local node receives is successively stored in reception Buffer Pool, and the length of described data block is all fixed word joint number L0;
Step II .3: read block from reception Buffer Pool, recovers each file in described data to be restored successively;
Wherein, in described Step II .2:
The span of the size L0 of data block is: 16KB≤L0≤8MB;
The span receiving the length S of Buffer Pool is as follows:
As 16KB≤L0≤256KB, S=32*L0;
As 256KB<L0≤1MB, S=16*L0;
As 1MB<L0≤4MB, S=8*L0;
As 4MB<L0≤16MB, L=4*L0.
Further, described cloud control center C_center dynamically has the Resume service quality list QR_list of a network node, and this Resume service quality list QR_list comprises the Resume service quality score of the date restoring that all n network node can provide; The all n of a described cloud control center C_center routine test network node can provide the Resume service quality score of date restoring, Resume service quality list QR_list described in updating maintenance, and the Resume service quality score of date restoring can be provided from height to low sequence by it all n network node;
When recovering data, if there is the identical data backup of identical file in described data to be restored in multiple network node, then the preferential network node higher from Resume service quality score recovers this file.
Further, the Resume service quality score ri of described network node i is calculated as follows:
Ri=r*c*s* (1-f)
2/ p formula (a)
In above-mentioned variable, for network node i:r for recovering access frequency, c is cpu calculation processing power, and s is network transfer speeds, and f is file access pattern mortality, and p is services pay standard.
Beneficial effect of the present invention is: optimize the network data recovery process under cloud environment, the control cooperation problem under solution cloud environment between all-network node; Solve disaster tolerance redundancy backup and the recovery problem of cloud environment lower network data simultaneously; Also can improve the efficiency of cloud environment lower network date restoring.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the present invention is further described:
Fig. 1 is the system construction drawing of the network data recovery under cloud environment of the present invention;
Fig. 2 is the process flow diagram of the network data recovery under cloud environment of the present invention.
Embodiment
The present invention proposes a kind of data reconstruction method, the method can realize the network data recovery under cloud environment.
Below in conjunction with the drawings and specific embodiments, the present invention is further described in detail, but not as a limitation of the invention.
Fig. 1 is the system construction drawing of the network data recovery under cloud environment of the present invention, and the system architecture of the network data backup under cloud environment is identical therewith.
As shown in Figure 1, the present invention proposes a kind of data reconstruction method, the network data recovery under cloud environment can be realized, particularly: system of the present invention is primarily of the network node passed through under the interconnective cloud environment of network and cloud control center C_center, disaster tolerance redundant storage center S_center tri-part composition.
In order to realize disaster tolerance redundancy backup and the recovery of overall monitoring and data, the present invention utilizes the cloud control center C_center in cloud environment and disaster tolerance redundant storage center S_center to control the data backup and resume under cloud environment.On the whole, due to the function that described cloud control center C_center and described disaster tolerance redundant storage center S_center has Relatively centralized, only for completing specific control, backup tasks, therefore both too huge storage space can not be consumed; And the back up memory space of network data backup under cloud environment and date restoring, mainly realized by the data backup district in the numerous network nodes under cloud environment.
The preferred network position of the network data backup of user's local node under cloud environment and date restoring is destination node, in order to improve the efficiency of network data backup under cloud environment and date restoring, the present invention employs service quality scoring in the process of data backup and date restoring, by the backup services quality list QB_list of network node and the Resume service quality list QR_list of network node, routine test all-network node can provide the backup services quality score of data backup, backup services quality list QB_list described in updating maintenance and Resume service quality list QR_list, and the backup/restoration service quality scoring of data backup/date restoring can be provided from height to low sequence by it all-network node.
Described cloud control center C_center can to network node each other and the network data transmission of network node and disaster tolerance redundant storage center S_center control; Can also copy, move or delete the copy of described data backup according to the situation of change of network node.
Cloud control center C_center in the present invention is different from general high in the clouds backup server, and its major function is not for store backup data, and has just concentrated the controlling functions of cloud environment lower network.For the data disaster tolerance redundancy under cloud environment, then processed by disaster tolerance redundant storage center S_center.
The effect of described disaster tolerance redundant storage center S_center is not that it is mainly used in the redundancy backup of some special datas by the complete mirrored-redundant of all-network Backup Data (demand like this for storage space is huge, is also to be difficult to realize).Such as, redundancy backup is carried out to the file of some super larges, or when some network nodes are not suitable for the destination node as data backup, the Backup Data in such network node can be copied to described disaster tolerance redundant storage center S_center.
All-network node under described cloud environment all has identical or similar structure.Described data backup and date restoring both can be regular or automatic, can carry out in real time again by the actual demand of user.The present invention mainly utilizes the network node under cloud environment to carry out data backup and date restoring to the data of user node.
In order to state conveniently, in data backup and data recovery procedure, the target network node of the network data backup under cloud environment, date restoring is called destination node.Obviously, the set of destination node is a subset of other all-network nodes composition set except user's local node.And user's local node is identical with the physical arrangement of all destination nodes, network site residing under cloud environment is also complete equity, and user's local node also may carry out the destination node of data backup under cloud environment, date restoring as other network nodes.
Network node under cloud environment in the present invention refers to all terminal devices that can network and server under cloud environment, and concrete networking mode both can be by wired connection, also can be pass through wireless connections.
In order to ensure the security of data transmission in Internet Transmission, carry out network data backup under cloud environment before, need the file in Backup Data to be carried out successively compress and encrypt; Correspondingly, under cloud environment during restoring user data, the file to receiving in data is needed to be decrypted successively and to decompress.
In the present invention, the data backup under cloud environment and the logic unit of date restoring are all Single documents; And in the Internet Transmission of reality, file block is transmitted, be the data block of fixed size by file division.When carrying out the data backup under cloud environment, in order to improve parallel efficiency, the operating system of user's local node can be arranged multiplely uploads thread, and each Thread control one of uploading uploads queue, and eachly uploads the backup of uploading that queue can control multiple file; In like manner, when carrying out the date restoring under cloud environment, the operating system of user's local node can arrange multiple download thread, and each download thread controls one and downloads queue, and the download that each download queue can control multiple file recovers.
In described data backup and data recovery procedure, provide separately a storage area at each network node, for storing the Backup Data of other network nodes; When other network nodes propose data recovery request, recover data from this storage area to the network node of filing a request.Certainly, in some cases, described disaster tolerance redundant storage center S_center also can as the destination address of network data backup and date restoring.
What each network node under cloud environment had can provide the storage area of data backup function to be called data backup district, and each network node also has a backup list.
Described data backup district is for backing up the backup data files from other network nodes, and all backup data files in described data backup district all store with the form of the Backup Data block of fixed size;
When the residual memory space in the data backup district of described network node is less than or equal to threshold value T_node, forbid carrying out data backup to this network node;
The value of threshold value T_node can be 10% of the data backup district total memory capacity of current network node;
Described backup list have recorded the BACKUP TIME of each file in described data backup district, fileinfo and proof test value, and described fileinfo comprises the filename of this file, file size and blocking information.
Particularly, the size in the data backup district of each network node carries out setting according to the actual conditions of this network node.Such as: if network node is a file server with a large amount of storage space, so obviously, this network node can provide the data backup district of a larger capacity, for other network nodes numerous under cloud environment carry out data backup service; And for some personal network's terminals, such as PC or notebook computer, its storage space is more limited, and that can provide one compared with the data backup district of low capacity.
Although the size in the data backup district of each network node is not quite similar, but its process of carrying out data backup is identical, the data backup district of each network node is for backing up the backup data files from other network nodes, and all backup data files in described data backup district all store with the form of the Backup Data block of fixed size.
And in order to prevent when Backup Data, space as the data backup district of the network node of destination node is overflowed, each network node can be that its data backup district arranges a threshold value T_node preventing from overflowing according to actual conditions, when other network nodes are to this network node Backup Data, be less than or equal to once the residual memory space found as the data backup district of the network node of the destination node of data backup the threshold value T_node preset, then forbid carrying out data backup to this network node.The value of described threshold value T_node can be set to 5% ~ 15% of the data backup district total memory capacity into current network node, preferably, can be set to 10%.
In addition, in order to carry out record to the process of data backup, each network node also has a backup list, described backup list have recorded the BACKUP TIME of each file in described data backup district, fileinfo and proof test value, and described fileinfo comprises the filename of this file, file size and blocking information.
Network data backup process under described cloud environment comprises the steps:
Data backup step 1: the data backup requests receiving user's local node, described data backup requests carries the up-to-date modification time of each file in data to be backed up and up-to-date BACKUP TIME;
Data backup step 2: in filtering data to be backed up, up-to-date modification time is early than the file of up-to-date BACKUP TIME;
Data backup step 3: data to be backed up are compressed;
Data backup step 4: the data of compression are encrypted;
Data backup step 5: select the network node under cloud environment as the destination node of data backup, by data upload to be backed up to selected destination node;
Data after decompressing are stored in the data backup district of this destination node by data backup step 6: after selected target node accepts to data to be backed up, be decrypted successively and decompress to data.
Compression algorithm in above-mentioned steps, cryptographic algorithm are all predefined, and by the all-network nodes sharing under cloud environment.
Fig. 2 describes the basic procedure of the network data recovery under cloud environment of the present invention.
As shown in Figure 2, a kind of data reconstruction method that the present invention proposes can realize the network data recovery under cloud environment, and the network data recovery process under described cloud environment comprises the steps:
Data restoration step I: the data recovery request receiving user's local node, comprises the filename of data to be restored in described data recovery request;
Data restoration step II: data to be restored, as the destination node for date restoring, are downloaded to user's local node from selected destination node by the network node under selection cloud environment;
Data restoration step III: by the decrypt data to be restored downloaded;
Data restoration step IV: the data of deciphering are decompressed;
Data restoration step V: according to deciphering and the data after decompressing, obtain the file in data to be restored;
Decipherment algorithm in above-mentioned steps, decompression algorithm are all predefined, and by the all-network nodes sharing under cloud environment.
More than just simply describe the most basic procedure of network data backup under cloud environment and date restoring, below above-mentioned data backup and data recovery procedure are further limited.
In network data backup process under described cloud environment, further comprising the steps of:
Step M1: the validity of identifying user identity and operating right; Wherein, described operating right comprises: upload, download, create, revise, copy, delete, check and search for;
If user identity empirical tests is invalid, then lock all operations authority of user;
If user identity empirical tests is effectively, but do not possess upload permissions, then forbid user carry out cloud environment under network data backup, send prompting to user;
Step M2: carry out security sweep to each file in the data to be backed up of user, if find containing the content of forbidding uploading in certain file, then by the interception of this file and mark, sends prompting to user; Forbid simultaneously this file carry out cloud environment under network data backup;
Describedly forbid that the content uploaded comprises: unlawful data, bad data, harmful data, or the data being not suitable for network backup due to safe and secret reason;
Step M3: the backup log information of the network data backup behavior of recording user, described backup log information comprises:
Network identity, user name, the operating right of user node, whether complete the mark of full backup and the fileinfo of each backup file;
Wherein, the fileinfo of each backup file comprises: whether mark, file that whether the BACKUP TIME of filename, file, file layout, file size, the proof test value of file, file are forbidden uploading complete the mark of backup.
In network data recovery process under described cloud environment, further comprising the steps of:
Step N1 (after described step I, before Step II): the validity of identifying user identity and operating right; Wherein, described operating right comprises: upload, download, create, revise, copy, delete, check and search for;
If user identity empirical tests is invalid, then lock all operations authority of user;
If user identity empirical tests is effectively, but do not possess download permission, then forbid user carry out cloud environment under network data recovery, send prompting to user;
Step N2: carry out security sweep to each file that user obtains, if find containing the content of forbidding in certain file, then by the interception of this file and mark, sends prompting to user;
Described content of forbidding comprises: unlawful data, bad data, harmful data and/or may reveal the data of individual subscriber privacy;
Step N3: the recovery log information of the network data recovery behavior of recording user, described recovery log information comprises:
The network identity of user node, user name, operating right, recovery start time, recover the end time, whether complete the mark of full recovery and the fileinfo of each recovery file;
Wherein, the fileinfo of each recovery file comprises: the mark that filename, file layout, file size, file download recover address, source, whether the proof test value of file, file access pattern start time, file access pattern end time, file complete recovery.
Further, the described destination node for date restoring carries out following operation to Backup Data block to be restored:
Step a1: described Backup Data block to be restored is compressed;
Step a2: the Backup Data block of compression is encrypted;
Step a3: the Backup Data block after compression and encryption is sent to the user's local node needing to recover data;
Described user's local node carries out following operation after receiving the Backup Data block from described destination node:
Step b1: the Backup Data block from target node accepts is decrypted;
Step b2: the Backup Data block of deciphering is decompressed;
Step b3: according to deciphering and the Backup Data block after decompressing, obtain the file in data to be restored;
Wherein, the compression algorithm of data block, encryption/decryption algorithm are all predefined, and by the all-network nodes sharing under cloud environment.
Preferably, described step b3 comprises the following steps:
Step b3.1: carry out security sweep to each file that user obtains, if find containing the content of forbidding in certain file, then by the interception of this file and mark, sends prompting to user;
Described content of forbidding comprises: unlawful data, bad data, harmful data and/or may reveal the data of individual subscriber privacy;
Step b3.2: the log information of the network data recovery behavior of recording user, described log information comprises:
The network identity of user node, user name, operating right, recovery start time, recover the end time, whether complete the mark of full recovery and the fileinfo of each recovery file;
Wherein, the fileinfo of each recovery file comprises: the mark that filename, file layout, file size, file download recover address, source, whether the proof test value of file, file access pattern start time, file access pattern end time, file complete recovery.
In the present invention, by the cloud control center C_center in cloud environment and disaster tolerance redundant storage center S_center, the overall situation is carried out to the data backup and resume under cloud environment and control.Described disaster tolerance redundant storage center S_center can carry out redundancy backup to the large files in data backup procedure, particularly, represents in the data backup district of network node the maximal value allowing the Single document stored to take up space with threshold value T_max.If the file size in the data described to be backed up of user exceedes this threshold value T_max, then described disaster tolerance redundant storage center S_center will carry out synchronous redundancy backup.
Particularly, for the data backup procedure under cloud environment:
Described cloud control center C_center dynamically has the backup services quality list QB_list of a network node, and this backup services quality list QB_list comprises the backup services quality score of the data backup that all n network node can provide; The all n of a described cloud control center C_center routine test network node can provide the backup services quality score of data backup, backup services quality list QB_list described in updating maintenance, and the backup services quality score of data backup can be provided from height to low sequence by it all n network node.
Described cloud control center C_center carries out overall control procedure to the data backup under cloud environment and comprises the following steps:
Step QB1: after described cloud control center C_center receives the data backup requests of user, performs following repeatability to each file in described data to be backed up successively and filters:
First, the proof test value of current file in data to be backed up is calculated;
Secondly, inquire about in the data backup district of every other network node whether there is file of the same name;
If exist, then the proof test value of the proof test value of this file in user's local node with the file of the same name in the data backup district of other network nodes inquired is compared;
If proof test value is identical, represents that two files are identical, do not need to back up this file;
Described proof test value can be cryptographic hash or MD5 value;
Step QB2: described cloud control center C_center inquires about described backup services quality list QB_list, the backup services quality score of data backup can be provided to mark from height to low select progressively the destination node of a highest network node as data backup according to network node;
Step QB3: if the capacity in the data backup district of current target node can ensure the backup of All Files in described data backup requests, then the All Files in described data backup requests has been backed up to current target node, then terminate; Otherwise, forward step QB4 to;
Step QB4: when the residual memory space in the data backup district finding current target node is less than or equal to threshold value T_node, stop carrying out data backup to current target node, delete the file backing up interruption in current target node; Then, according to network node can provide the backup services quality score of data backup from height to low select progressively next network node as next destination node, the file backing up interruption in current target node is backed up to next destination node again, and remaining non-backup file is continued back up to next destination node described;
Step QB5: by that analogy, until the backup completing All Files in described data backup requests;
Described disaster tolerance redundant storage center S_center in conjunction with the multilevel iudge of threshold value T_max, can carry out synchronous redundancy backup to the large files in the data described to be backed up of user, particularly:
If there is the file that size is greater than threshold value T_max in described data to be backed up, then while backing up this file to the network node of the destination node as data backup, this file synchronous mirror is copied to described disaster tolerance redundant storage center S_center;
Particularly, for the data recovery procedure under cloud environment:
Described disaster tolerance redundant storage center S_center in conjunction with the multilevel iudge of threshold value T_max, can recover the large files in the data described to be restored of user, comprising:
If there is the file that size is greater than threshold value T_max in described data to be restored, then user's local node directly will be downloaded from described disaster tolerance redundant storage center S_center and recover this file;
Described cloud control center C_center carries out overall control procedure to the date restoring under cloud environment and comprises the following steps:
Step QR1: after described cloud control center C_center receives the data recovery request of user, according to each filename in the data to be restored comprised in described data recovery request, inquire about the data backup that whether there is this file in described disaster tolerance redundant storage center S_center; If existed, then download from described disaster tolerance redundant storage center S_center and recover described file;
Step QR2: for the non-recovery file in described data recovery request, described cloud control center C_center, according to the filename of each non-recovery file comprised in described data recovery request, inquires about the data backup that whether there is this non-recovery file in the data backup district of every other network node successively;
If find to there is the data backup of this non-recovery file in the data backup district of a network node, then by user's local node that the BACKUP TIME of this file recorded in the address information of this network node and the backup list of this network node sends to request msg to recover;
Step QR3: the address information of the network node at non-recovery file place described in described user's local node sends according to described cloud control center C_center, downloads non-recovery file described in recovery, until complete described data recovery request from described network node;
Wherein, in step QR3, if non-recovery file has time different multiple data backups, then point out user according to this file of BACKUP TIME selective recovery of this file; If user does not make one's options, then acquiescence selects the up-to-date backup recovering this file automatically.
Preferably, in Step II, described download from selected destination node file to be restored returns to user's local node and comprises:
The All Files piecemeal of each file in the data to be restored of user's local node download user successively, particularly:
Step II .1: user's local node open up one piece of byte number be S internal memory as reception Buffer Pool, for storing the data block of reception;
Step II .2: the data block that user's local node receives is successively stored in reception Buffer Pool, and the length of described data block is all fixed word joint number L0;
Step II .3: read block from reception Buffer Pool, recovers each file in described data to be restored successively;
Further, in described Step II .2:
The span of the size L0 of data block is: 16KB≤L0≤8MB;
The span receiving the length S of Buffer Pool is as follows:
As 16KB≤L0≤256KB, S=32*L0;
As 256KB<L0≤1MB, S=16*L0;
As 1MB<L0≤4MB, S=8*L0;
As 4MB<L0≤16MB, L=4*L0.
Further, described cloud control center C_center dynamically has the Resume service quality list QR_list of a network node, and this Resume service quality list QR_list comprises the Resume service quality score of the date restoring that all n network node can provide; The all n of a described cloud control center C_center routine test network node can provide the Resume service quality score of date restoring, Resume service quality list QR_list described in updating maintenance, and the Resume service quality score of date restoring can be provided from height to low sequence by it all n network node;
When recovering data, if there is the identical data backup of identical file in described data to be restored in multiple network node, then the preferential network node higher from Resume service quality score recovers this file.
Particularly, the Resume service quality score ri of described network node i is calculated as follows:
Ri=r*c*s* (1-f)
2/ p formula (a)
In above-mentioned variable, for network node i:r for recovering access frequency, c is cpu calculation processing power, and s is network transfer speeds, and f is file access pattern mortality, and p is services pay standard.
Be described above the network data backup process of network data recovery process under described cloud environment and correspondence.
The network data backup process under described cloud environment will be introduced further below:
Preferably, in steps of 5, described data upload to be backed up to be comprised to selected destination node: the All Files piecemeal of each file in the data to be backed up of user is uploaded to the network node of the destination node as data backup by user's local node successively, particularly:
Step 5.1: user's local node open up one piece of byte number be L internal memory as transmission Buffer Pool, for storing data block to be sent;
Step 5.2: successively each file in the data to be backed up of user is divided into file block according to fixed word joint number L0 and forms data block, by described data block successively stored in transmission Buffer Pool; If last blocks of data byte number of certain file is less than L0, also read as a data block;
Step 5.3: read block from transmission Buffer Pool, is sent to the network node of the described destination node as data backup, successively until described data to be backed up are all sent.
Preferably, in step 5.2:
The span of the size L0 of described data block is: 16KB≤L0≤8MB;
The span of the length L of described transmission Buffer Pool is as follows:
As 16KB≤L0≤256KB, L=32*L0;
As 256KB<L0≤1MB, L=16*L0;
As 1MB<L0≤4MB, L=8*L0;
As 4MB<L0≤16MB, L=4*L0.
For the network data backup process under cloud environment, the backup services quality score si of described network node i is calculated as follows:
Si=f_b*v*c*s* (1-m)
2/ p formula (1)
In above-mentioned variable, be backup access frequency for network node i:f_b, v is the free memory capacity in the data backup district of network node, and c is cpu calculation processing power, and s is network transfer speeds, and m is file backup mortality, and p is services pay standard.The initial value of the backup services quality score si of described network node i can be set to 0.
Described cloud control center C_center uses the method based on probability statistics, the backup services quality score of data backup can be provided using the network node of the fixing each destination node as data backup of cycle T periodic detection, to screen out the network node of backup services quality score exception, thus improve the network data backup efficiency under cloud environment.Suppose that si represents the backup services quality score of network node i, network node add up to n, the method comprises the following steps:
Step B1: the backup services quality score s1 that all n network node can be provided data backup, s2 ... si ..., sn be configured to backup services quality score vector S=(s1, s2 ... si ..., sn);
As mentioned above, all-network node can provide the initial value of the backup services quality score of data backup to be all 0, and described backup services quality score can change along with the change of time.
Under cloud environment, may there is change in the sum of network node, for the network node increase newly/exited, can increase/delete the backup services quality score corresponding to this network node in real time in described backup services quality score vector S; Network node quantity under making the quantity of the component in described backup services quality score vector S equal cloud environment.Particularly, if a network node exits cloud environment, then should delete this network node backup services quality score corresponding in rhythmic backup services quality score vector S.
Step B2: the time series S (1) regularly generating described backup services quality score vector S according to cycle T, S (2), S (j) ... wherein, S (j)=(s1 (j), s2 (j), si (j), sn (j)), S (j) represents the backup services quality score vector in a jth cycle, and si (j) represents the backup services quality score of network node i in a jth cycle;
Step B3: regularly perform following steps according to cycle T:
In formula below, symbol " " represents coefficient and multiplication of vectors, is namely multiplied by each component in vector with coefficient; Symbol " | " expression takes absolute value to each component in vector.
Step B3.1: for backup services quality score vector S (j) in a jth cycle, the predicted vector of definition S (j) is the one-level error vector of PS (j), S (j) is EB (j), is calculated as follows:
PS (j)=λ 1S (j)+(1-λ 1) PS (j-1) formula (2)
EB (j)=| S (j)-PS (j-1) | formula (3)
Wherein, one-level error coefficient λ 1 is preferably 0.25, also can arrange according to concrete actual conditions; PS (0)=S (1);
Step B3.2: the one-level error vector according to the S (j) in a jth cycle is EB (j), secondary error vector EB_2 (j) calculating S (j) is as follows:
EB_2 (j)=| λ 2EB (j)+(1 – λ 2) EB_2 (j-1) | formula (4)
Wherein, secondary error coefficient λ 2 is preferably 0.15, also can arrange according to concrete actual conditions; EB_2 (0)=0;
Step B3.3: according to secondary error vector EB_2 (j) of the S (j) in a jth cycle, the three grades of error vector EB_3 (j) calculating S (j) are as follows:
EB_3 (j)=| λ 3EB_2 (j)+(1 – λ 3) EB_3 (j-1) | formula (5)
Wherein, three grades of error coefficient λ 3 are preferably 0.05, also can arrange according to concrete actual conditions; EB_3 (0)=0;
Step B3.4: by each component in three grades of error vector EB_3 (j) of the S (j) in a jth cycle compared with the backup services error threshold T_EB preset;
If there is the component exceeding backup services error threshold T_EB, then determine that the backup services quality score of network node corresponding to this component in this cycle is for abnormal; And
If the backup services quality score in network node continuous two cycles is abnormal, then this network node is added backup node blacklist list B_black; Meanwhile, the Backup Data in the data backup district of this network node is copied to described disaster tolerance redundant storage center S_center.
In the present invention, by the calculating of three grades of error vectors, the error that direct, simple error vector compares can be reduced, improve the degree of accuracy detected.
For above-mentioned backup services error threshold T_EB, specifically can set according to actual conditions, concrete setting principle is: by the setting of this backup services error threshold, make under cloud environment in all-network node, backup services quality score is that abnormal number of nodes controls in a rational scope.Such as, abnormal network node quantity is made to control all the time within 20% of this cloud environment lower network node total number.
Described step B3 can further include:
Step B3.5: described cloud control center C_center is with backup node blacklist list B_black described in cycle T periodic scanning, if find that backup services quality score is higher than the network node of threshold value TB_out, then delete this network node from described backup node blacklist list B_black.
Similarly, for above-mentioned threshold value T_EB, also specifically can set according to actual conditions, concrete setting principle is: by the setting of this threshold value, under making cloud environment, the number of nodes in described backup node blacklist list B_black controls in a rational scope.Such as, the number of nodes in described backup node blacklist list B_black is made to control all the time within 10% of this cloud environment lower network node total number.
Above embodiment is only for illustration of the present invention; and be not limitation of the present invention; the those of ordinary skill of relevant technical field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (8)
1. a data reconstruction method, can realize the network data recovery under cloud environment, it is characterized in that: the method comprises the following steps:
Step I: the data recovery request receiving user's local node, comprises the filename of data to be restored in described data recovery request;
Step II: file to be restored, as the destination node for date restoring, is downloaded from selected destination node and returned to user's local node by the network node under selection cloud environment;
Step II I: by the decrypt data to be restored downloaded;
Step IV: the data of deciphering are decompressed;
Step V: according to deciphering and the data after decompressing, obtain the file in data to be restored;
Wherein, described compression algorithm, decipherment algorithm are all predefined, and by the all-network nodes sharing under cloud environment.
2. data reconstruction method according to claim 1, is characterized in that: further comprising the steps of after described step I, before Step II:
The validity of identifying user identity and operating right; Wherein, described operating right comprises: upload, download, create, revise, copy, delete, check and search for;
If user identity empirical tests is invalid, then lock all operations authority of user;
If user identity empirical tests is effectively, but do not possess download permission, then forbid user carry out cloud environment under network data recovery, send prompting to user.
3. data reconstruction method according to claim 2, is characterized in that:
Each network node under cloud environment has a data backup area and a backup list;
Described data backup district is for backing up the backup data files from other network nodes, and all backup data files in described data backup district all store with the form of the Backup Data block of fixed size;
When the residual memory space in the data backup district of described network node is less than or equal to threshold value T_node, forbid carrying out data backup to this network node;
The value of threshold value T_node can be 10% of the data backup district total memory capacity of current network node;
Described backup list have recorded the BACKUP TIME of each file in described data backup district, fileinfo and proof test value, and described fileinfo comprises the filename of this file, file size and blocking information;
The described destination node for date restoring carries out following operation to Backup Data block to be restored:
Step a1: described Backup Data block to be restored is compressed;
Step a2: the Backup Data block of compression is encrypted;
Step a3: the Backup Data block after compression and encryption is sent to the user's local node needing to recover data;
Described user's local node carries out following operation after receiving the Backup Data block from described destination node:
Step b1: the Backup Data block from target node accepts is decrypted;
Step b2: the Backup Data block of deciphering is decompressed;
Step b3: according to deciphering and the Backup Data block after decompressing, obtain the file in data to be restored;
Wherein, the compression algorithm of data block, encryption/decryption algorithm are all predefined, and by the all-network nodes sharing under cloud environment.
4. data reconstruction method according to claim 3, is characterized in that: described step b3 comprises the following steps:
Step b3.1: carry out security sweep to each file that user obtains, if find containing the content of forbidding in certain file, then by the interception of this file and mark, sends prompting to user;
Described content of forbidding comprises: unlawful data, bad data, harmful data and/or may reveal the data of individual subscriber privacy;
Step b3.2: the log information of the network data recovery behavior of recording user, described log information comprises:
The network identity of user node, user name, operating right, recovery start time, recover the end time, whether complete the mark of full recovery and the fileinfo of each recovery file;
Wherein, the fileinfo of each recovery file comprises: the mark that filename, file layout, file size, file download recover address, source, whether the proof test value of file, file access pattern start time, file access pattern end time, file complete recovery.
5. data reconstruction method according to claim 4, is characterized in that:
Utilize the cloud control center C_center under cloud environment and disaster tolerance redundant storage center S_center to carry out the overall situation to the date restoring under cloud environment to control;
Described disaster tolerance redundant storage center S_center all sizes of redundancy backup can be greater than the file of threshold value T_max;
Wherein, described threshold value T_max represents in the data backup district of network node the maximal value allowing the Single document stored to take up space;
If there is the file that size is greater than threshold value T_max in described data to be restored, then user's local node directly will be downloaded from described disaster tolerance redundant storage center S_center and recover this file;
Described cloud control center C_center carries out overall control procedure to the date restoring under cloud environment and comprises the following steps:
Step QR1: after described cloud control center C_center receives the data recovery request of user, according to each filename in the data to be restored comprised in described data recovery request, inquire about the data backup that whether there is this file in described disaster tolerance redundant storage center S_center; If existed, then download from described disaster tolerance redundant storage center S_center and recover described file;
Step QR2: for the non-recovery file in described data recovery request, described cloud control center C_center, according to the filename of each non-recovery file comprised in described data recovery request, inquires about the data backup that whether there is this non-recovery file in the data backup district of every other network node successively;
If find to there is the data backup of this non-recovery file in the data backup district of a network node, then by user's local node that the BACKUP TIME of this file recorded in the address information of this network node and the backup list of this network node sends to request msg to recover;
Step QR3: the address information of the network node at non-recovery file place described in described user's local node sends according to described cloud control center C_center, downloads non-recovery file described in recovery, until complete described data recovery request from described network node;
Wherein, in step QR3, if non-recovery file has time different multiple data backups, then point out user according to this file of BACKUP TIME selective recovery of this file; If user does not make one's options, then acquiescence selects the up-to-date backup recovering this file automatically.
6. data reconstruction method according to claim 5, is characterized in that: in Step II, and described download from selected destination node file to be restored returns to user's local node and comprise:
The All Files piecemeal of each file in the data to be restored of user's local node download user successively, particularly:
Step II .1: user's local node open up one piece of byte number be S internal memory as reception Buffer Pool, for storing the data block of reception;
Step II .2: the data block that user's local node receives is successively stored in reception Buffer Pool, and the length of described data block is all fixed word joint number L0;
Step II .3: read block from reception Buffer Pool, recovers each file in described data to be restored successively;
Wherein, in described Step II .2:
The span of the size L0 of data block is: 16KB≤L0≤8MB;
The span receiving the length S of Buffer Pool is as follows:
As 16KB≤L0≤256KB, S=32*L0;
As 256KB<L0≤1MB, S=16*L0;
As 1MB<L0≤4MB, S=8*L0;
As 4MB<L0≤16MB, L=4*L0.
7. data reconstruction method according to claim 6, is characterized in that:
Described cloud control center C_center dynamically has the Resume service quality list QR_list of a network node, and this Resume service quality list QR_list comprises the Resume service quality score of the date restoring that all n network node can provide; The all n of a described cloud control center C_center routine test network node can provide the Resume service quality score of date restoring, Resume service quality list QR_list described in updating maintenance, and the Resume service quality score of date restoring can be provided from height to low sequence by it all n network node;
When recovering data, if there is the identical data backup of identical file in described data to be restored in multiple network node, then the preferential network node higher from Resume service quality score recovers this file.
8. data reconstruction method according to claim 7, is characterized in that:
The Resume service quality score ri of described network node i is calculated as follows:
Ri=r*c*s* (1-f)
2/ p formula (a)
In above-mentioned variable, for network node i:r for recovering access frequency, c is cpu calculation processing power, and s is network transfer speeds, and f is file access pattern mortality, and p is services pay standard.
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