CN105786656A - Independent disk redundant array disaster tolerance storage method based on random matrix - Google Patents

Independent disk redundant array disaster tolerance storage method based on random matrix Download PDF

Info

Publication number
CN105786656A
CN105786656A CN201610089410.7A CN201610089410A CN105786656A CN 105786656 A CN105786656 A CN 105786656A CN 201610089410 A CN201610089410 A CN 201610089410A CN 105786656 A CN105786656 A CN 105786656A
Authority
CN
China
Prior art keywords
block
data block
matrix
original data
redundant
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201610089410.7A
Other languages
Chinese (zh)
Other versions
CN105786656B (en
Inventor
滕鹏国
王晓京
崔喆
张景中
陈亮
袁德砦
王子伟
徐志强
刘霆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Information Technology Co Ltd of CAS
Original Assignee
Chengdu Information Technology Co Ltd of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Information Technology Co Ltd of CAS filed Critical Chengdu Information Technology Co Ltd of CAS
Priority to CN201610089410.7A priority Critical patent/CN105786656B/en
Publication of CN105786656A publication Critical patent/CN105786656A/en
Application granted granted Critical
Publication of CN105786656B publication Critical patent/CN105786656B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/16Error detection or correction of the data by redundancy in hardware
    • G06F11/20Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
    • G06F11/2053Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements where persistent mass storage functionality or persistent mass storage control functionality is redundant
    • G06F11/2094Redundant storage or storage space

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Techniques For Improving Reliability Of Storages (AREA)

Abstract

Provided is an independent disk redundant array disaster tolerance storage method based on a random matrix.The method comprises the steps that code parameters are built according to the size of a file to be stored; the file to be stored is equally divided into k data blocks, and zero-padding is conducted on insufficient places; a storage region in a storage system is obtained; the storage region is divided into n storage blocks; the first k storage blocks of the storage region are selected to serve as original data storage blocks, and the rest n-k storage blocks serve as redundant data storage blocks; the k data blocks are filled into the first k original data storage blocks column by column; a random code matrix G[n*k] of which the scale is n*k is built on GF(2) according to the code parameters; n-k redundant data blocks of the storage blocks are generated according to the random code matrix G[n*k] and k data blocks; the n-k redundant data blocks are filled into the n-k redundant data storage blocks column by column.According to the independent disk redundant array disaster tolerance storage method based on the random matrix, the disaster tolerance capacity and expansibility of the storage system are improved.

Description

RAID disaster tolerance based on random matrix storage method
Technical field
The present invention relates to field of data storage, particularly to a kind of RAID disaster tolerance based on random matrix Storage method.
Background technology
Along with the development of information technology and popularizing of network, data start to present explosive growth, and 2010 complete Ball data volume has reached ZB magnitude.Increasing data are closely bound up with the life of people, and the storage of these data with Protection is challenged greatly, has become as one of hot issue of current social discussion, and urgently obtains adequate solution.
Now, main storage system has following three classes: a class is based on the storage system replicated, typical such as Google File system, this storage system uses the mode of three backups to carry out the storage and disaster tolerance of data, and its advantage is simple to operate, shortcoming It is that memory area utilization rate is relatively low, causes the waste of great memory area.Another kind of is array code based on XOR storage System, such as RAID-6, conventional coded method has EVENODD code, Star code, RDP code, X-Code etc., and such stores system Advantage be use xor operation, there is higher coding and decoding efficiency, additionally the utilization rate of memory area the most relatively copy mode has The biggest raising, its shortcoming is that coding parameter is limited by prime number, it is impossible to arbitrary extension, it is difficult under the different disaster tolerance demand of reply Code storage.Also having a class is code storage system based on Reed-Solomon code, such as OceanStore.Such stores system The advantage of system is that the utilization rate of memory area is higher, and coding parameter has a certain degree of freedom in finite field scale, lacks Point be coding and decoding computing all on finite field, and currently generally acknowledge, the computation complexity on finite field is the highest, particularly rule In the case of mould is relatively big, this coding having had a strong impact on this storage system and rebuilding rate, it is impossible to be generalized to actual answering well In with.
In sum, three main class storage systems are all respectively arranged with quality, it is impossible to meet current extensive number well According to storage demand.Therefore, build a kind of existing higher coding and decoding speed, and storage size be the most unrestricted, simultaneously, moreover it is possible to Realize the High Performance Cache and Memory System of code storage under different fault-tolerant demand, be big data age people one that data are stored Urgent needs.
Summary of the invention
For solving above-mentioned technical problem, the invention provides that a kind of redundancy ability is strong and extensibility is good, reliability is high, deposit Storage efficiency and space availability ratio high RAID disaster tolerance based on random matrix storage method.
The invention provides a kind of RAID disaster tolerance based on random matrix storage method, including: according to The size of file to be stored builds coding parameter;Described file to be stored is divided into k according to block, not enough local zero padding; Obtain one section of memory area in storage system;Described memory area is divided into n memory block;Choose described memory area Front k memory block is as original data storage block, and remaining n-k memory block is as redundant data storage block;By described k It is filled into by column in described front k original data storage block according to block;It is n according to described coding parameter structure scale on GF (2) The random coded matrix G of × kn×k;According to described random coded matrix Gn×kAnd described k generates described n-k storage according to block The redundant data block of block;Described n-k redundant data block is inserted in described n-k memory block by column.
Preferably, described memory area crosses over multiple different physical store nodes.
Preferably, the redundant digit of described n-k memory block is generated according to described random coded matrix and described k according to block Include according to block: first, by described random coded matrix Gn×kLast n-k non-unity row in, often data corresponding to 1 in row Block carries out XOR summation, thus obtains the redundant block that this row is corresponding;Then, the redundant block of described correspondence is filled to this row one In the redundant data block caused.
Preferably, according to described coding parameter at the random coded matrix G that the upper structure scale of GF (2) is n × kn×kIncluding: First, it is determined that described random coded matrix Gn×kWhether it is sequency spectrum, if not then reconfiguring described random coded matrix Gn×k, until constructing the described random coded matrix G of sequency spectrumn×k;Secondly, by described random coded matrix Gn×kUnit turns toFinally, willAs final random coded matrix Gn×k
Present invention also offers a kind of RAID disaster tolerance reconstructing method based on random matrix, including: obtain Take RECONFIGURATION REQUEST;Corresponding memory area, the random coded matrix prestored and coding is obtained according to described RECONFIGURATION REQUEST Parameter;Judge whether each memory block in described memory area lost efficacy, if lost efficacy is original data block, then by its sequence number Adding in inefficacy original data block sequence, otherwise lost efficacy is redundant block, then its sequence number is added inefficacy redundant data block sequence In;If there being the original data block of inefficacy, then according to described random coded matrix, described inefficacy original data block sequence and do not lose First the original data block of described inefficacy is reconstructed by the memory block of effect;Without the original data block lost efficacy, then basis The redundant data block lost efficacy is entered by described random coded matrix, described inefficacy redundant data block sequence and all of original data block Line reconstruction.
Preferably, if there being the data block of inefficacy, then according to described random coded matrix, described fail data block sequence and The data block of described inefficacy is reconstructed and includes by the memory block not lost efficacy: choose all data not lost efficacy in memory area Block;In described random coded matrix, extract the row corresponding with the described data block not lost efficacy and form new matrix G 's×k;Structure Build encoding equtions group Gs'×kk×1s×1, wherein, α represents original data block vector, and β represents non-fail data block vector.Profit The data of all fail data blocks of this memory area are tried to achieve by Gaussian reduction.
Preferably, without the original data block lost efficacy, then according to described random coded matrix, described inefficacy redundant block The redundant data block lost efficacy is reconstructed and includes by sequence and all of original data block: directly utilize described random coded matrix Row and all original data blocks of middle correspondence recompile, and generate all inefficacy redundant data blocks.
Present invention achieves the coding and decoding technology of a kind of novel RAID, be greatly enhanced by the program The redundancy ability of storage system and autgmentability, improve the reliability of storage system, meanwhile, the storage efficiency of storage system and Space availability ratio have also been obtained the biggest lifting.
Accompanying drawing explanation
Fig. 1 is the overall response flow chart of RAID storage and disaster tolerance method based on random matrix;
Fig. 2 is the code storage flow chart of RAID storage and disaster tolerance method based on random matrix;
Fig. 3 is the random coded matrix generation figure of RAID storage and disaster tolerance method based on random matrix;
Fig. 4 is the disaster tolerance reconstruct flow chart of RAID storage and disaster tolerance method based on random matrix;
Fig. 5 is the redundant block coding demonstration of RAID storage and disaster tolerance method based on random matrix;
Fig. 6 is the fail data block decoding demonstration of RAID storage and disaster tolerance method based on random matrix;
Fig. 7 is the demonstration of a memory area of RAID storage and disaster tolerance method based on random matrix.
Detailed description of the invention
Some symbols used in the present invention and concept first carry out some illustrate:
Disaster tolerance demand r: in customer requirement storage system, the memory block number of maximum allowable deletion accounts for the ratio of memory area.
Coding parameter: n presentation code informational capacity, k represents raw information amount, and δ represents random redundancy.
Redundancy ability t: the block number of maximum allowable deletion in memory area accounts for the ratio of whole memory area.
Crash rate s: in memory area, fail block number accounts for the ratio of whole memory area,
Memory area (Region): the memory area that file raw information to be deposited and coding redundancy information take altogether.Deposit Storage area territory both can be on one disk, it is also possible to is on disk array, even by the different common structures of memory node The one section of memory area built, therefore it is a concept in logic
Block (Block): memory area is divided into n part, every part of occupied memory area is expressed as one piece.There are two kinds of forms Block, be original data block and redundant data block respectively.
Original data block: k block before in memory area, the initial data of file the to be deposited block filled.
Redundant data block: (n-k) individual block after in memory area, namely the block all filled by redundant data.
The core of the present invention is through encoder matrix G and original file data block, utilizes XOR, it is achieved memory block The generation of redundant block in territory, and be filled in memory area by column, thus when reconstructing fail block, can be according to whole memory block The failure conditions in territory, first carries out the reconstruct of inefficacy original data block, then carries out the reconstruct of inefficacy redundant data block, makes whole storage The reconstruction property of system is fully played, and optimizes the utilization calculating resource, ensures the reliability of data to greatest extent, carry Rise the reliability of storage system.
Refer to Fig. 1 to 7, the invention provides a kind of RAID disaster tolerance storage side based on random matrix Method, comprises the following steps: build coding parameter according to the size of file to be stored;Described file to be stored is divided into k According to block, not enough local zero padding;Obtain one section of memory area in storage system;Described memory area is divided into n storage Block;Choosing front k the memory block of described memory area as original data storage block, remaining n-k memory block is as redundancy DSB data store block;Described k is filled in described front k original data storage block by column according to block;According to described coding ginseng Number is at the random coded matrix G that the upper structure scale of GF (2) is n × kn×k;According to described random coded matrix Gn×kAnd described k Data block generates the redundant data block of described n-k memory block;Described n-k redundant data block is inserted by column described n-k In memory block.Preferably, described memory area crosses over multiple different physical store nodes.
In one embodiment, it is assumed that a disk array comprises 20 pieces of hard disks, the file of a 200MB is currently had to need Want code storage, it is desirable to the fault-tolerant ability of this document is more than 20%, and the most even blocks of files after coding has 100, wherein 20 Individual and when losing efficacy with next blocks of files, remain able to obtain this document.
Therefore, n=280 can be set, k=200, t=60, δ=20, at this moment, the fault-tolerant ability of this document reaches 21%, full The fault-tolerant demand of foot.In this case, current embodiment require that the memory area of 280MB carries out file storage.
In order to improve the fault-tolerant ability of file substantially, the present embodiment chooses 14 pieces of hard disks, and is drawn by this memory area Being divided into 280 pieces, each disk stores the data volume of 20MB, namely 20 blocks, every block size 1MB, then we are respectively often Dividing the memory space of 20 blocks on individual disk, we carry out 1 to 280 numberings respectively to all pieces subsequently.The most whole storage Region divides complete.
First, according to the coding and storing method of the storage system that the present invention is constructed, the code storage of file to be deposited is carried out. We construct the 0-1 equally distributed random coded matrix G of 280 × 200 scalesn×k, and it is saved in the volume of this memory area In code information.The file of this 200MB is divided into 200 parts by us, then chooses front 200 blocks of memory area as data block, And file data blocks is filled into respectively in their front 200 original data storage blocks.We are subsequently according to random coded square Battle array Gn×kAnd these 200 data blocks generate the data of rear 80 redundant blocks, finally it is filled in the memory area of correspondence.When all After redundant block all encodes filling, then process terminates.
Preferably, the redundant digit of described n-k memory block is generated according to described random coded matrix and described k according to block Include according to block: first, by described random coded matrix Gn×kLast n-k non-unity row in, often data corresponding to 1 in row Block carries out XOR summation, thus obtains the redundant block that this row is corresponding;Then, the redundant block of described correspondence is filled to this row one In the redundant data block caused.
Preferably, according to described coding parameter at the random coded matrix G that the upper structure scale of GF (2) is n × kn×kIncluding: First, it is determined that described random coded matrix Gn×kWhether it is sequency spectrum, if not then reconfiguring described random coded matrix Gn×k, until constructing the described random coded matrix G of sequency spectrumn×k;Secondly, by described random coded matrix Gn×kUnit turns toFinally, willAs final random coded matrix Gn×k
Present invention also offers a kind of RAID disaster tolerance reconstructing method based on random matrix, including: obtain Take RECONFIGURATION REQUEST;Corresponding memory area, the random coded matrix prestored and coding is obtained according to described RECONFIGURATION REQUEST Parameter;Judge whether each memory block in described memory area lost efficacy, if lost efficacy is original data block, then by its sequence number Adding in inefficacy original data block sequence, otherwise lost efficacy is redundant data block, then its sequence number is added inefficacy redundant data block In sequence;If there being the original data block of inefficacy, then according to described random coded matrix, described inefficacy original data block sequence and First the original data block of described inefficacy is reconstructed by the memory block not lost efficacy;Without the original data block lost efficacy, then According to described random coded matrix, described inefficacy redundant data block sequence and all of original data block, the redundant block lost efficacy is entered Line reconstruction.
Preferably, if there being the original data block of inefficacy, then according to described random coded matrix, described inefficacy initial data The original data block of described inefficacy is reconstructed and includes by block sequence and the memory block not lost efficacy: choose owning in memory area The data block not lost efficacy;In described random coded matrix, extract the row corresponding with the described data block not lost efficacy and form new Matrix G 's×k;Build encoding equtions group Gs'×kk×1s×1, wherein, α represents original data block vector, and β represents non-failure number According to block vector.Gaussian reduction is utilized to try to achieve the data of all fail data blocks of this memory area.
Preferably, without the original data block lost efficacy, then according to described random coded matrix, described inefficacy redundant digit According to block sequence and all of original data block the redundant block lost efficacy is reconstructed and includes: directly utilize described random coded matrix Row and all original data blocks of middle correspondence recompile, and generate all inefficacy redundant blocks.
Present invention achieves the coding and decoding technology of a kind of novel RAID, be greatly enhanced by the program The redundancy ability of storage system and autgmentability, enhance the reliability of storage system, meanwhile, the storage efficiency of storage system and Space availability ratio have also been obtained the biggest lifting.
Below in conjunction with Fig. 2 to Fig. 7, the committed step in the present invention is illustrated.
Fig. 2 is constructed the code storage of RAID storage and disaster tolerance method based on random matrix by the present invention Flow chart.File block can be numbered by this flow process, and is saved in respectively in k original data block of memory area, produces simultaneously Its corresponding redundant block data raw, it is achieved the disaster tolerance guarantee to file.Wherein, encoder matrix G is utilizedn×kFormer with the k having been filled with Beginning data block, the step generating residue (n-k) individual redundant block is carried out as shown in Figure 5.
Fig. 5 is the coding demonstration of RAID storage and disaster tolerance method based on random matrix.Wherein equation is left Limit string vertical bar be to be encoded be original file data block vector, on the right of equation for coding after gained coded data block vector, Including original data block and redundant block two parts.As it is shown in figure 5, utilize random coded matrix G and the original document of upper unit As original data block, produce coding redundancy block.Specific form due to random coded matrix so that coding has systematic code side On the right of formula, namely equation, the front k block of encoding block is original file data, and rear (n-k) block is coding redundancy block.
Fig. 3 is constructed the random coded of RAID storage and disaster tolerance method based on random matrix by the present invention Matrix generates figure.This flow process can construct the random coded matrix G that the upper scale of GF (2) is n × kn×k
The disaster tolerance weight of the RAID storage and disaster tolerance method based on random matrix that Fig. 4 is constructed by the present invention Structure flow chart.This flow process can utilize the block not lost efficacy in memory area, and crash rate s is not higher than the inefficacy feelings of redundancy ability t Condition, it is achieved the reconstruct of fail block.Wherein, utilizing encoder matrix G, fail data block sequence and non-fail block, to memory area In the process that is reconstructed of fail data block as shown in Figure 6.
Fig. 6 is the fail data block decoding demonstration of RAID storage and disaster tolerance method based on random matrix. Assuming that we carry out the reconstruct of fail block in memory area, if all fail blocks are redundant data block, then we are the most sharp With the original data block in encoder matrix G and memory area, recompile generation inefficacy redundant block.If fail block contains There is original data block, then our row new matrix G' of composition that in extracting encoder matrix G, non-fail block is corresponding, utilize gaussian elimination First method obtains all inefficacy original data blocks, and then recycling encoder matrix G and all original data blocks generate all inefficacies Redundant block.As shown in Figure 6, delete in encoder matrix the row corresponding to fail block on the right of equation, produce new matrix, then Using fail data block as unknown number, and utilizing non-fail block to build equation group, last solving equation group, solution of equations is mistake The data block data of effect.
Deposit for one of the RAID storage and disaster tolerance method based on random matrix that Fig. 7 is constructed by the present invention The demonstration in storage area territory, wherein the right vertical line dish is redundancy dish.This memory area is that individual data file is in whole storage system Required memory area, it is also possible to regard a Stripe band as.

Claims (7)

1. RAID disaster tolerance based on a random matrix storage method, it is characterised in that including:
Size according to described file to be stored builds coding parameter;
Described file to be stored is divided into k according to block, not enough local zero padding;
Obtain one section of memory space in storage system;
Described memory space is divided into n memory block;
Choosing front k the memory block of described memory space as original data storage block, remaining n-k memory block is as redundancy DSB data store block;
Described k is filled in described front k original data storage block by column according to block;
According to described coding parameter at the random coded matrix G that the upper structure scale of GF (2) is n × kn×k
According to described random coded matrix Gn×kAnd described k generates the redundant data block of described n-k memory block according to block;
Described n-k redundant data block is inserted in described n-k memory block by column.
Method the most according to claim 1, it is characterised in that described memory space crosses over multiple different physical store joint Point.
3. according to the method described in claim 1 and 2, it is characterised in that according to described random coded matrix and described k evidence Block generates the redundant data block of described n-k memory block and includes:
First, by described random coded matrix Gn×kLast n-k non-unity row in, often in row, data block corresponding to 1 is carried out XOR is sued for peace, thus obtains the redundant block that this row is corresponding;
Then, the redundant block of described correspondence is filled to the redundant data block consistent with this row.
4. according to the method described in claims 1 to 3, it is characterised in that construct scale according to described coding parameter on GF (2) Random coded matrix G for n × kn×kIncluding:
First, it is determined that described random coded matrix Gn×kWhether it is sequency spectrum, if not then reconfiguring described random coded square Battle array Gn×k, until constructing the described random coded matrix G of sequency spectrumn×k
Secondly, by described random coded matrix Gn×kUnit turns to
Finally, willAs final random coded matrix Gn×k
5. a RAID disaster tolerance reconstructing method based on random matrix, it is characterised in that
Obtain described RECONFIGURATION REQUEST;
Corresponding memory space, the random coded matrix prestored and coding parameter is obtained according to described RECONFIGURATION REQUEST;
Judge whether each memory block in described memory area lost efficacy, if lost efficacy is original data block, then by its sequence number Adding in inefficacy original data block sequence, otherwise lost efficacy is redundant data block, then its sequence number is added inefficacy redundant data block In sequence;
If there being the original data block of inefficacy, then according to described random coded matrix, described inefficacy original data block sequence and not First the data block of described inefficacy is reconstructed by the memory block lost efficacy;
Without the original data block lost efficacy, then according to described random coded matrix, described inefficacy redundant data block sequence and The redundant data block lost efficacy is reconstructed by all of original data block.
Method the most according to claim 5, it is characterised in that if there being the original data block of inefficacy, then according to described with Machine encoder matrix, described inefficacy original data block sequence and the memory block not lost efficacy carry out weight to the original data block of described inefficacy Structure includes:
Choose all data blocks not lost efficacy in memory space;
In described random coded matrix, extract the row corresponding with the described data block not lost efficacy and form new matrix G 's×k
Build encoding equtions group G's×kk×1s×1, wherein, α represent original data block vector, β represent non-fail data block to Amount.
Gaussian reduction is utilized to try to achieve the data of all inefficacy original data blocks of this memory space.
Method the most according to claim 5, it is characterised in that without the original data block lost efficacy, then according to described The redundant block lost efficacy is reconstructed and includes by random coded matrix, described inefficacy redundant block sequence and all of original data block:
Directly utilize row corresponding in described random coded matrix and all original data blocks recompile, generate all inefficacies superfluous Remaining block.
CN201610089410.7A 2016-02-17 2016-02-17 Redundant array of independent disks disaster tolerance storage method based on random matrix Active CN105786656B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610089410.7A CN105786656B (en) 2016-02-17 2016-02-17 Redundant array of independent disks disaster tolerance storage method based on random matrix

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610089410.7A CN105786656B (en) 2016-02-17 2016-02-17 Redundant array of independent disks disaster tolerance storage method based on random matrix

Publications (2)

Publication Number Publication Date
CN105786656A true CN105786656A (en) 2016-07-20
CN105786656B CN105786656B (en) 2019-08-13

Family

ID=56402274

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610089410.7A Active CN105786656B (en) 2016-02-17 2016-02-17 Redundant array of independent disks disaster tolerance storage method based on random matrix

Country Status (1)

Country Link
CN (1) CN105786656B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106339975A (en) * 2016-10-10 2017-01-18 中科院成都信息技术股份有限公司 Digital image secret sharing method, restoration method and devices
CN106383669A (en) * 2016-09-19 2017-02-08 渤海大学 Distributed storage method and system based on (n,k,m) coding

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1796001A2 (en) * 1999-03-03 2007-06-13 Yotta Yotta, Inc. Method for implementing shared disk array management functions.
CN101231891A (en) * 2007-01-04 2008-07-30 国际商业机器公司 Error control method and memory system
CN101340193A (en) * 2008-08-12 2009-01-07 普天信息技术研究院有限公司 Constructing method, encoder and decoder of low density check code
CN101387975A (en) * 2008-10-20 2009-03-18 中科院成都信息技术有限公司 Magnetic disc array system
CN101834898A (en) * 2010-04-29 2010-09-15 中科院成都信息技术有限公司 Method for storing network distributed codes
US20130173955A1 (en) * 2012-01-04 2013-07-04 Xtremlo Ltd Data protection in a random access disk array
JP2013152778A (en) * 2013-02-28 2013-08-08 Qualcomm Inc Concurrent multiple-dimension word-addressable memory architecture
US20140250269A1 (en) * 2013-03-01 2014-09-04 Lsi Corporation Declustered raid pool as backup for raid volumes

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1796001A2 (en) * 1999-03-03 2007-06-13 Yotta Yotta, Inc. Method for implementing shared disk array management functions.
CN101231891A (en) * 2007-01-04 2008-07-30 国际商业机器公司 Error control method and memory system
CN101340193A (en) * 2008-08-12 2009-01-07 普天信息技术研究院有限公司 Constructing method, encoder and decoder of low density check code
CN101387975A (en) * 2008-10-20 2009-03-18 中科院成都信息技术有限公司 Magnetic disc array system
CN101834898A (en) * 2010-04-29 2010-09-15 中科院成都信息技术有限公司 Method for storing network distributed codes
US20130173955A1 (en) * 2012-01-04 2013-07-04 Xtremlo Ltd Data protection in a random access disk array
US8799705B2 (en) * 2012-01-04 2014-08-05 Emc Corporation Data protection in a random access disk array
JP2013152778A (en) * 2013-02-28 2013-08-08 Qualcomm Inc Concurrent multiple-dimension word-addressable memory architecture
US20140250269A1 (en) * 2013-03-01 2014-09-04 Lsi Corporation Declustered raid pool as backup for raid volumes

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
肖宜龙: "《随机化数据冗余方法及其在存储系统中的应用》", 《中国优秀硕士学位论文全文数据库》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106383669A (en) * 2016-09-19 2017-02-08 渤海大学 Distributed storage method and system based on (n,k,m) coding
CN106383669B (en) * 2016-09-19 2019-04-16 渤海大学 Distributed storage method and system of the one kind based on (n, k, m) coding
CN106339975A (en) * 2016-10-10 2017-01-18 中科院成都信息技术股份有限公司 Digital image secret sharing method, restoration method and devices

Also Published As

Publication number Publication date
CN105786656B (en) 2019-08-13

Similar Documents

Publication Publication Date Title
CN106100801B (en) A kind of non-homogeneous erasure code method of cloud storage system
CN105260259B (en) A kind of locality based on system minimum memory regeneration code repairs coding method
TWI361348B (en) Parity engine for use in storage virtualization controller and methods of generating data by parity engine
CN101834898B (en) Method for storing network distributed codes
CN104461781B (en) A kind of data block method for reconstructing based on correcting and eleting codes
CN110750382B (en) Minimum storage regeneration code coding method and system for improving data repair performance
US8775860B2 (en) System and method for exact regeneration of a failed node in a distributed storage system
CN103746774B (en) The fault-tolerant coding method that a kind of efficient data is read
CN107844272A (en) A kind of cross-packet coding and decoding method for improving error correcting capability
CN107656832A (en) A kind of correcting and eleting codes method of low data reconstruction expense
CN110089035B (en) Storage controller, data processing chip and data processing method
CN106484559A (en) A kind of building method of check matrix and the building method of horizontal array correcting and eleting codes
CN103412799B (en) Data reconstruction method, data recovery apparatus and distributed memory system
CN104156283B (en) Data reconstruction method, device and storage system
CN104052576A (en) Data recovery method based on error correcting codes in cloud storage
CN103761171B (en) A kind of low bandwidth data reconstructing method for binary coding redundant storage system
CN110389848B (en) Partial repetition code construction method based on block construction and fault node repair method
CN110383251A (en) Storage system, computer-readable recording medium, and method for controlling system
CN106776129A (en) A kind of restorative procedure of the multinode data file based on minimum memory regeneration code
CN102012792A (en) Quick reconfigurable RAID-6 coding and reconfiguration method
CN105703782B (en) A kind of network coding method and system based on incremental shift matrix
CN107689983B (en) Cloud storage system and method based on low repair bandwidth
CN104516679B (en) A kind of RAID data processing method and processing device
CN105786656B (en) Redundant array of independent disks disaster tolerance storage method based on random matrix
CN102843212A (en) Coding and decoding method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant