CN1480850A - Method for dynamic transferring data and its storing system - Google Patents
Method for dynamic transferring data and its storing system Download PDFInfo
- Publication number
- CN1480850A CN1480850A CNA021543925A CN02154392A CN1480850A CN 1480850 A CN1480850 A CN 1480850A CN A021543925 A CNA021543925 A CN A021543925A CN 02154392 A CN02154392 A CN 02154392A CN 1480850 A CN1480850 A CN 1480850A
- Authority
- CN
- China
- Prior art keywords
- data object
- data
- memory block
- probability
- access
- 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
Links
Images
Abstract
The method includes following steps. Based on access probability, data object is stored in first storage area and second storage area. When request of external device accesses data object, data object is searched in first storage area first. If the data object is not in the first storage area, then search is carried out in the second storage area. Result of accessing data object is recorded, and probability of accessing data object is calculated. If the said probability is larger than or equal to preset threshold, then the relevant data object is held in the first storage area or the relevant data object is moved from the second storage area to the first storage area. If the said probability is less than preset threshold, then the relevant data object is held in the second storage area or the relevant data object is moved from the first storage area to the second storage area. Moreover, the invention also discloses devices for dynamic transferring data.
Description
Technical field
The present invention relates to a kind of method and apparatus of dynamic migration data, specifically, relate to a kind of variation according to the accessed frequency of data object, dynamically migration data is pressed the access probability of data object the data object subregion is stored to accelerate the method and apparatus of data access speed.
Background technology
Data backup memory technology and storage administration come from terminal/main frame computation schema of the seventies, at that time since data centralization on main frame, therefore, manageable mass memory unit, tape library are indispensable at that time equipment.After the eighties, because the development of PC, especially the most widely used Client of the nineties popularizes and networks development, file server and the database server place of key data centralization often on this moment network, and also having accumulated a certain amount of data on the client computer, the distribution of data causes the complicated of data storage management.
Development of Internet makes memory technology that revolutionary variation is taking place, wherein the most outstanding variation is exactly the rapid increase of data volume, how to store, access and management every day be all in the mass data that sharply increases, be related to can let us the network digital world keep normal operation.
Data mass memory over-borrowing now helps following storage solution:
A kind of is that (Network Attached Storage, NAS), this is a kind of network file storage and file backup equipment of specialty to network additive storage device, or is called network direct connection memory device, net-raid.NAS is based on LAN (Local Area Network) LAN's, communicates according to ICP/IP protocol, and the message-oriented transmission is carried out data transmission in the I/O mode of file.
Another kind is that (Storage Area Network, support technology SAN) are Fibre Channel (FC) technology to the storage area network network, and this is that ANSI is that a standard setting up of network and passage I/O interface is integrated.AN independently goes out a data storage networking, and the data transmission rate of network internal is very fast, but operating system still rests on server end, and the user is not at the network of directly visiting SAN.
The data object and the external world mainly contain two kinds alternately, and a kind of is the interpolation and the renewal of data, and another kind is the visit of data.Discover that two kinds of above-mentioned solutions are all stored equally and managed all data objects, and the operation of data object often concentrates on the sub-fraction data object in the reality.That is to say that in a period of time, the probability that each data object is taken place in operation is different, i.e. the access times difference of each data.It is actual that what be concerned about is a very little subclass in the whole set of data objects.Do not consider above-mentioned factor in the prior art, so in effective time, safeguard to whole set of data objects at whole storage space.To be safeguarded equally for the data object that those data manipulation probability are extremely low, cause like this and wasted a large amount of system resource.Make the efficient of various operations of data object reduce.
Existing large-scale database technology is greatly improved data storage and management aspect.By the application of various index and search algorithm, improved the efficient of data storage and visit greatly.But, the index structure of the various complexity that database is set up for the expedited data access efficiency be experience by in the past or statistics when data storage with regard to appointment.And the access probability of discovering data object can change along with the time, even variation is very fast.Existing database can not reflect this variation of data object visit, data object has been in case stored with regard to rare change, and database also is based on entire database storage all set of data objects are carried out to administering and maintaining of data object.Therefore, a large amount of system resource waste is arranged administering and maintaining to the low data of those access probabilities.
In view of the above problems, need a kind of actual probability of use that can reflect data, and the technology of data being carried out storage administration according to the actual operating position of data, be used for data storage, the system resource of aspect such as administer and maintain with saving.
Summary of the invention
The purpose of this invention is to provide a kind of according to the accessed probability dynamic migration data of data so that the subregion data storing method, method of the present invention can be according to data object accessed probability or number of times, storage area to the data object is dynamically adjusted, to improve data access speed, save the system management resource, and reduce carrying cost.
Another object of the present invention provide a kind of according to the accessed probability dynamic migration data of data so that data are carried out the system of subregion storage, device of the present invention can be according to data object accessed probability or number of times, storage area to the data object is dynamically adjusted, to improve data access speed, save the system management resource, and reduce carrying cost.
According to a first aspect of the invention, provide a kind of method of dynamic migration data, comprise step: whether the accessed probability of judgment data object is more than or equal to predetermined threshold; Access probability is stored in first memory block more than or equal to the data object of predetermined threshold; Access probability is stored in second memory block less than the data object of predetermined threshold.
According to a second aspect of the invention, provide a kind of method of dynamic migration data, comprise step: the access probability according to data object is stored in first memory block and second memory block respectively with data object; When external unit request visit data object, at first in first memory block, search data object; If the data object of being asked not in first memory block, is then searched the data object of being asked in second memory block; The visit result of record data object, the access probability of computational data object; If the access probability of data object more than or equal to predetermined threshold value, then is retained in described data object described first memory block, or moves to first memory block from second memory block; If with the access probability of data object less than predetermined threshold value, then described data object is retained in described second memory block, or moves to second memory block from first memory block.
In addition, regularly detect the access probability of described data object; If the access probability of data object more than or equal to predetermined threshold value, then is retained in described data object described first memory block, or moves to first memory block from second memory block; If with the access probability of data object less than predetermined threshold value, then described data object is retained in described second memory block, or moves to second memory block from first memory block.
According to a third aspect of the invention we, provide a kind of system of dynamic migration data, comprising: first memory storage, be used to store probability greater than with the data object that equals predetermined threshold; Second memory storage is used to store the data object of probability less than predetermined threshold; Data recording control apparatus is used to control the data access operation of described first memory storage and second memory storage, and writes down the visit result of external unit to described data object, calculates the access probability of described data object; Wherein said data recording control apparatus is externally during device request visit data object, at first in described first memory storage, search data object, if the described data object of being asked not at described second memory storage, is then searched the data object of being asked in described second memory storage.
Description of drawings
By below in conjunction with the accompanying drawing detailed description of the present invention, will make purpose of the present invention, feature and advantage clearer.
Fig. 1 is the structural drawing according to the storage system of the dynamic migration data object of the embodiment of the invention;
Fig. 2 is the process flow diagram according to the dynamic migration data object of the embodiment of the invention; With
Fig. 3 is the processing flow chart according to the memory block of the dynamic migration data object of the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing embodiments of the invention are described.
Along with popularizing of high-speed interconnect net, the appearance that high-speed Internet inserts, pervasive multimedia and information are greatly abundant, and memory capacity is with speed increment at double in every year.NAS equipment is data-centered fully, memory device thoroughly separated with server, and the centralized management data, thus effectively discharge bandwidth, improved overall performance of network greatly, also can effectively reduce TCO.Present data storage software is more and more ripe,
The present invention considers according to the accessed probability of data object accessed data object is divided into hot spot data and unexpected winner data.Wherein the data object of data manipulation often takes place to liking in the time period of investigating in hot spot data; The unexpected winner data object is in the time period of investigating, and the data object of data manipulation or rare data manipulation takes place hardly.Can determine that it still is the unexpected winner data that certain data object belongs to hot spot data according to multiple factor, for example, investigate time period to the number of times of data Object Operations or running time etc. at certain.
The present invention is directed to hot spot data and unexpected winner data data storage device is divided into DAA and data backup device or data access district and data backup district.Wherein DAA is stored the hot spot data in the current slot, the unexpected winner data in the data backup device storage current slot.
Fig. 1 illustrates the structure according to the storage system of the adjustment data object of the embodiment of the invention.As an example, this storage system can be the media services storage system, wherein deposits contents such as various original multimedia files, voice data and video data.Media server is received user's playing request, can operate corresponding data object.As shown in Figure 1, storage system according to the dynamic migration data of the embodiment of the invention, data storage controller 1 comprising the control data object, raw data is carried out the data manipulation devices 2 of data processing, the data backup device 4 of the DAA 3 of storage hot spot data and storage unexpected winner data.Wherein DAA 3 can be used as first memory storage, and data backup device 4 can be used as second memory storage.Memory controller 1 is connected with data manipulation devices 2, DAA 3 and data backup device 4 respectively by bus.Data manipulation devices 2, DAA 3 and data backup device 4 can pass through bus Data transmission object under the control of data storage controller 1.Data storage controller 1 is collected extraneous visit situation to the data object.Externally during the relevant data object in the device access DAA 3, will the operational circumstances of the visit situation of this data object and accessed data object be recorded in the data storage controller 1, and the access probability of computational data object.
Be equipped with in the data storage controller 1 and be used to carry out the control program of various processing and carry out the required various data of these processing.Data storage controller 1 detect certain data object accessed after, call wherein the operating result of corresponding this data object of process analysis.And judge according to analysis result whether this data object has become the unexpected winner data.When the hot spot data object has become the unexpected winner data object, it is moved out of DAA 3, backup to data backup device 4.In the present invention, DAA 3 adopts access speed memory device faster, so that the user provides zero access to the frequent access of these data objects.Data backup device 4 can adopt access speed relatively low, lower-cost memory device, and disk drive etc. for example is to save the cost and the resource of system.
The original material of the outside various programs of gathering enters data manipulation devices 2 simultaneously with the original multimedia programming relevant with gathering next data.The data and the multimedia file of 2 pairs of receptions of data manipulation devices are processed, and the montage of program, and arrangement generates data object.Because newly-generated data object all has higher access probability in the near future, therefore newly-generated data object is defaulted as the hot spot data object, deposit DAA 3 in.The operational circumstances of data storage controller 1 monitor data object.After a period of time, the demand of user's program request reduces, and when reducing to a certain degree, data storage controller 1 backups to the data memory node of file backup to this program, promptly in the data backup device 4.
The parameter of the access probability of specified data object can be the accessed number of times of data object in the given time, or the running time of data object determine because the data volume of some data object is very big.Therefore, though these data objects accessed number of times may be less relatively since its running time longer, must be stored in the fast memory storage of access speed in order to accelerate its access speed.
Below with reference to the process flow diagram of Fig. 2 explanation according to the dynamic migration data object of the embodiment of the invention.At first at step S201, whether the probability of judgment data object accesses is more than or equal to predetermined threshold.Can be based on multiple factor judgment data object accesses situation.For example, investigate the number of times of time period data object operation at certain, or the running time etc.If the probability of data object visit is greater than threshold value, then access probability is stored in first memory block more than or equal to the data object of predetermined threshold at step S202.If the probability of data object visit is less than threshold value, then access probability is stored in second memory block less than the data object of predetermined threshold at step S203.Data storage controller 1 can regularly detect the access probability of data object, active data object between first and second memory blocks.Wherein the access speed of first memory block is faster than the storage speed of second memory block.
Below with reference to the process flow diagram of Fig. 3 description according to the processing of dynamic adjusting data of the present invention memory block.As shown in Figure 3,, raw data and the Backup Data of gathering relevant with raw data carried out data processing and arrangement, make it become data object at step S301.Newly-generated data object is defaulted as hot spot data object (newly-generated data object all has higher access probability in the near future), deposits the DAA 3 that can carry out quick access in.DAA 3 is deposited access probability higher data object at no distant date.At step S302, judge whether to receive extraneous request of data.At step S303, data storage controller 1 is searched the data of being visited whether in DAA 3.If the data object of visit then offers external unit at step S304 with accessed data object in DAA 3.And write down the accessed situation of this data object at step S307, and after the pending data Object Operations finishes, the operating result of this data object is stored in the data storage controller 1, revise the data access probability.If do not find the data object that will visit at DAA 3 at step S303, this process then forwards step S305 to, sends request of data by DAA 3 to data backup device 4.Call requested data object from data backup device 4.Under the request case of successful, the data object in the data backup device 4 is offered external unit at step S306.After this, flow process forwards step S307 to, writes down the accessed situation of this data object, after the pending data Object Operations finishes, the operating result of this data object is stored in the data storage controller 1, revises the data access probability.At step S308, the operational circumstances of data storage controller 1 periodic inspection data object, whether the access probability of judgment data object is more than or equal to predetermined threshold value.If the judged result of step S307 then continues this data object to be retained in the DAA 3 in step 309, or transfers to the DAA 3 from data backup device 4 for certainly.If the judged result of step S308 determines then that for negating this data object has become the unexpected winner data, continue it is retained in data backup device 4, or, finish the backup functionality of data from DAA 3 Autonomic Migration Framework to data backup device 4.In the superincumbent description, DAA 3 can be used as first memory block, and data backup device 4 can be used as second memory block.
By with data object according to access probability subregion storage, and the regular access probability according to data object constantly carries out the data object storage and adjusts, and improves data access speed
Adopt the advantage of method of the present invention to be: owing to adopted the dynamic development adjustment of data storage in implementing, user's program request response speed is greatly improved.Owing to reduce for the rate request of storing, can adopt a large amount of cheap data storage mediums to store simultaneously at data machining area and storage backup zone.Make this systemic price ratio obtain increasing substantially.
So far in conjunction with the preferred embodiments of the present invention the present invention is had been described in detail, those skilled in the art can make various improvement and variation under the situation of the scope and spirit essence that does not break away from claims.
Claims (14)
1. the method for dynamic migration data comprises step:
Whether the accessed probability of judgment data object is more than or equal to predetermined threshold;
Access probability is stored in first memory block more than or equal to the data object of predetermined threshold;
Access probability is stored in second memory block less than the data object of predetermined threshold.
2. the method for dynamic migration data according to claim 1 is asked when wherein the accessed probability of judgment data object comprises number of times that the specified data object is accessed in the given time and/or operation.
3. the method for dynamic migration data according to claim 1 and 2 is characterized in that the access speed of described first memory block is faster than the access speed of described second memory block.
4. the method for dynamic migration data comprises step:
Access probability according to data object is stored in first memory block and second memory block respectively with data object;
When external unit request visit data object, at first in first memory block, search data object;
If the data object of being asked not in first memory block, is then searched the data object of being asked in second memory block;
The visit result of record data object, the access probability of computational data object;
If the access probability of data object more than or equal to predetermined threshold value, then is retained in described data object described first memory block, or moves to first memory block from second memory block; With
If the access probability of data object less than predetermined threshold value, then is retained in described data object described second memory block, or moves to second memory block from first memory block.
5. the method for dynamic migration data according to claim 4 is characterized in that the access speed of described first memory block is faster than the access speed of described second memory block.
6. according to the method for claim 4 or 5 described dynamic migration data, it is characterized in that further comprising step:
Regularly detect the access probability of described data object;
If the access probability of data object more than or equal to predetermined threshold value, then is retained in described data object described first memory block, or moves to first memory block from second memory block; With
If the access probability of data object less than predetermined threshold value, then is retained in described data object described second memory block, or moves to second memory block from first memory block.
7. according to the method for claim 4 or 5 described dynamic migration data, it is characterized in that the access probability that calculates described data object comprises number of times and/or the running time that described specified data object is accessed in the given time.
8. the method for dynamic migration data according to claim 6 is characterized in that the access probability that detects described data object comprises definite accessed in the given time number of times and/or running time of described data object.
9. according to the method for claim 4 or 5 described dynamic migration data, it is characterized in that if the described data object that will not visit in described first memory block, then directly send request of data, call requested described data object from described second memory block to described second memory block by described first memory block.
10. according to the method for claim 4 or 5 described dynamic migration data, it is characterized in that handling and being stored in first memory block increasing and at first described new data being carried out montage during new data.
11. the device of dynamic migration data comprises:
First memory storage, be used to store probability greater than with the data object that equals predetermined threshold;
Second memory storage is used to store the data object of probability less than predetermined threshold;
Data recording control apparatus is used to control the data access operation of described first memory storage and second memory storage, and writes down the visit result of external unit to described data object, calculates the access probability of described data object
Wherein said data recording control apparatus is externally during device request visit data object, at first in described first memory storage, search data object, if the described data object of being asked not at described first memory storage, is then searched the data object of being asked in described second memory storage.
12. the device of dynamic migration data according to claim 11, wherein said data storage controller is at the access probability of described data object during more than or equal to described predetermined threshold, described data object is retained in described first memory storage, or moves to described first memory storage from described second memory storage; With when the access probability of described data object less than described predetermined threshold, described data object is retained in described second memory storage, or moves to described second memory storage from described first memory storage.
13. according to the device of claim 11 or 12 described dynamic migration data, the access speed of wherein said first memory storage is faster than the access speed of described second memory storage.
14. the device of dynamic migration data according to claim 11, wherein also comprise to raw data carry out the data manipulation devices of data processing and will process after data object be stored in first memory storage.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB021543925A CN1182465C (en) | 2002-12-04 | 2002-12-04 | Method for dynamic transferring data and its storing system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB021543925A CN1182465C (en) | 2002-12-04 | 2002-12-04 | Method for dynamic transferring data and its storing system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN1480850A true CN1480850A (en) | 2004-03-10 |
CN1182465C CN1182465C (en) | 2004-12-29 |
Family
ID=34148800
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CNB021543925A Expired - Fee Related CN1182465C (en) | 2002-12-04 | 2002-12-04 | Method for dynamic transferring data and its storing system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN1182465C (en) |
Cited By (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN100356343C (en) * | 2004-07-15 | 2007-12-19 | 株式会社日立制作所 | Computer system and method for migrating from one storage system to another |
CN102156738A (en) * | 2011-04-13 | 2011-08-17 | 成都市华为赛门铁克科技有限公司 | Method for processing data blocks, and data block storage equipment and system |
CN102323898A (en) * | 2011-09-02 | 2012-01-18 | 深圳中兴网信科技有限公司 | Cache calling method and system |
CN102609508A (en) * | 2012-02-05 | 2012-07-25 | 四川大学 | High-speed access method of files in network storage |
WO2012167535A1 (en) * | 2011-11-02 | 2012-12-13 | 华为技术有限公司 | Method and equipment for controlling file scheduling |
CN102968278A (en) * | 2012-10-25 | 2013-03-13 | 浪潮电子信息产业股份有限公司 | Method for improving effective availability of storage space |
CN103365987A (en) * | 2013-07-05 | 2013-10-23 | 北京人大金仓信息技术股份有限公司 | Clustered database system and data processing method based on shared-disk framework |
CN103838681A (en) * | 2012-11-27 | 2014-06-04 | 联想(北京)有限公司 | Storage device and data file access method |
CN104461389A (en) * | 2014-12-03 | 2015-03-25 | 上海新储集成电路有限公司 | Automatically learning method for data migration in mixing memory |
CN104536904A (en) * | 2014-12-29 | 2015-04-22 | 杭州华为数字技术有限公司 | Data management method, equipment and system |
CN104657234A (en) * | 2015-02-04 | 2015-05-27 | 北京神州云科数据技术有限公司 | Backup method for superblock of raid (redundant array of independent disks) |
CN105138422A (en) * | 2015-08-10 | 2015-12-09 | 联想(北京)有限公司 | Control method and electronic device |
CN105718223A (en) * | 2011-12-27 | 2016-06-29 | 英特尔公司 | Method and device for managing distribution of workload memories |
CN105786401A (en) * | 2014-12-25 | 2016-07-20 | 中国移动通信集团公司 | Data management method and device in server cluster system |
CN105808443A (en) * | 2014-12-29 | 2016-07-27 | 华为技术有限公司 | Data migration method, apparatus and system |
CN106055272A (en) * | 2016-05-20 | 2016-10-26 | 乐视控股(北京)有限公司 | Selection method and apparatus of storage medium |
CN106302634A (en) * | 2016-07-25 | 2017-01-04 | 乐视控股(北京)有限公司 | A kind of data migration method and system |
CN106294440A (en) * | 2015-05-27 | 2017-01-04 | 阿里巴巴集团控股有限公司 | The method and apparatus of data real-time migration |
CN106371762A (en) * | 2016-08-19 | 2017-02-01 | 浪潮(北京)电子信息产业有限公司 | Optimization method and system of storage data |
CN107430528A (en) * | 2015-03-09 | 2017-12-01 | 亚马逊科技公司 | Opportunistic resource migration is placed with optimizing resource |
WO2018137257A1 (en) * | 2017-01-27 | 2018-08-02 | Intel Corporation | Dynamic code execution location in heterogeneous memory |
CN109947665A (en) * | 2017-12-20 | 2019-06-28 | 阿里巴巴集团控股有限公司 | A kind of caching method and device |
CN110109614A (en) * | 2019-03-22 | 2019-08-09 | 浙江工商大学 | Data migration method based on probability towards PRAM/DRAM mixing memory |
CN110175206A (en) * | 2019-05-24 | 2019-08-27 | 江西尚通科技发展股份有限公司 | Intellectual analysis operational approach, system and medium for multiple database separation |
CN112631517A (en) * | 2020-12-24 | 2021-04-09 | 北京百度网讯科技有限公司 | Data storage method and device, electronic equipment and storage medium |
US11822789B2 (en) | 2011-12-27 | 2023-11-21 | Intel Corporation | Methods and apparatus to manage workload memory allocation |
-
2002
- 2002-12-04 CN CNB021543925A patent/CN1182465C/en not_active Expired - Fee Related
Cited By (44)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN100356343C (en) * | 2004-07-15 | 2007-12-19 | 株式会社日立制作所 | Computer system and method for migrating from one storage system to another |
CN101149667B (en) * | 2004-07-15 | 2013-04-17 | 株式会社日立制作所 | Disk array system |
CN102156738A (en) * | 2011-04-13 | 2011-08-17 | 成都市华为赛门铁克科技有限公司 | Method for processing data blocks, and data block storage equipment and system |
CN102156738B (en) * | 2011-04-13 | 2012-12-19 | 成都市华为赛门铁克科技有限公司 | Method for processing data blocks, and data block storage equipment and system |
CN102323898A (en) * | 2011-09-02 | 2012-01-18 | 深圳中兴网信科技有限公司 | Cache calling method and system |
CN103503409A (en) * | 2011-11-02 | 2014-01-08 | 华为技术有限公司 | Method and equipment for controlling file scheduling |
WO2012167535A1 (en) * | 2011-11-02 | 2012-12-13 | 华为技术有限公司 | Method and equipment for controlling file scheduling |
CN103503409B (en) * | 2011-11-02 | 2016-04-06 | 华为技术有限公司 | File dispatch control method and equipment |
CN105718223B (en) * | 2011-12-27 | 2019-11-12 | 英特尔公司 | The method and apparatus of management work load memory distribution |
US11822789B2 (en) | 2011-12-27 | 2023-11-21 | Intel Corporation | Methods and apparatus to manage workload memory allocation |
CN105718223A (en) * | 2011-12-27 | 2016-06-29 | 英特尔公司 | Method and device for managing distribution of workload memories |
CN102609508A (en) * | 2012-02-05 | 2012-07-25 | 四川大学 | High-speed access method of files in network storage |
CN102609508B (en) * | 2012-02-05 | 2013-12-25 | 四川大学 | High-speed access method of files in network storage |
CN102968278A (en) * | 2012-10-25 | 2013-03-13 | 浪潮电子信息产业股份有限公司 | Method for improving effective availability of storage space |
CN103838681A (en) * | 2012-11-27 | 2014-06-04 | 联想(北京)有限公司 | Storage device and data file access method |
CN103838681B (en) * | 2012-11-27 | 2017-10-27 | 北京联想核芯科技有限公司 | Storage device and data file access method |
CN103365987A (en) * | 2013-07-05 | 2013-10-23 | 北京人大金仓信息技术股份有限公司 | Clustered database system and data processing method based on shared-disk framework |
CN104461389A (en) * | 2014-12-03 | 2015-03-25 | 上海新储集成电路有限公司 | Automatically learning method for data migration in mixing memory |
CN104461389B (en) * | 2014-12-03 | 2017-10-13 | 上海新储集成电路有限公司 | A kind of method of the self study of Data Migration in mixing memory |
CN105786401A (en) * | 2014-12-25 | 2016-07-20 | 中国移动通信集团公司 | Data management method and device in server cluster system |
CN104536904A (en) * | 2014-12-29 | 2015-04-22 | 杭州华为数字技术有限公司 | Data management method, equipment and system |
CN105808443B (en) * | 2014-12-29 | 2019-01-18 | 华为技术有限公司 | A kind of method, apparatus and system of Data Migration |
CN105808443A (en) * | 2014-12-29 | 2016-07-27 | 华为技术有限公司 | Data migration method, apparatus and system |
CN104536904B (en) * | 2014-12-29 | 2018-01-09 | 杭州华为数字技术有限公司 | A kind of method of data management, equipment and system |
CN104657234B (en) * | 2015-02-04 | 2018-05-22 | 深圳神州数码云科数据技术有限公司 | A kind of backup method of the superblock superblock of disk array raid |
CN104657234A (en) * | 2015-02-04 | 2015-05-27 | 北京神州云科数据技术有限公司 | Backup method for superblock of raid (redundant array of independent disks) |
CN107430528B (en) * | 2015-03-09 | 2021-06-04 | 亚马逊科技公司 | Opportunistic resource migration to optimize resource placement |
CN107430528A (en) * | 2015-03-09 | 2017-12-01 | 亚马逊科技公司 | Opportunistic resource migration is placed with optimizing resource |
CN106294440A (en) * | 2015-05-27 | 2017-01-04 | 阿里巴巴集团控股有限公司 | The method and apparatus of data real-time migration |
CN106294440B (en) * | 2015-05-27 | 2019-06-07 | 阿里巴巴集团控股有限公司 | The method and apparatus of data real-time migration |
CN105138422B (en) * | 2015-08-10 | 2018-09-21 | 北京联想核芯科技有限公司 | Control method and electronic equipment |
CN105138422A (en) * | 2015-08-10 | 2015-12-09 | 联想(北京)有限公司 | Control method and electronic device |
CN106055272A (en) * | 2016-05-20 | 2016-10-26 | 乐视控股(北京)有限公司 | Selection method and apparatus of storage medium |
CN106302634A (en) * | 2016-07-25 | 2017-01-04 | 乐视控股(北京)有限公司 | A kind of data migration method and system |
CN106371762A (en) * | 2016-08-19 | 2017-02-01 | 浪潮(北京)电子信息产业有限公司 | Optimization method and system of storage data |
WO2018137257A1 (en) * | 2017-01-27 | 2018-08-02 | Intel Corporation | Dynamic code execution location in heterogeneous memory |
US10802979B2 (en) | 2017-01-27 | 2020-10-13 | Intel Corporation | Dynamic code execution location in heterogeneous memory |
CN109947665A (en) * | 2017-12-20 | 2019-06-28 | 阿里巴巴集团控股有限公司 | A kind of caching method and device |
CN109947665B (en) * | 2017-12-20 | 2023-06-13 | 阿里巴巴集团控股有限公司 | Caching method and device |
CN110109614B (en) * | 2019-03-22 | 2022-02-18 | 浙江工商大学 | Probability-based data migration method for PRAM/DRAM (random access memory/dynamic random access memory) |
CN110109614A (en) * | 2019-03-22 | 2019-08-09 | 浙江工商大学 | Data migration method based on probability towards PRAM/DRAM mixing memory |
CN110175206A (en) * | 2019-05-24 | 2019-08-27 | 江西尚通科技发展股份有限公司 | Intellectual analysis operational approach, system and medium for multiple database separation |
CN112631517B (en) * | 2020-12-24 | 2021-09-03 | 北京百度网讯科技有限公司 | Data storage method and device, electronic equipment and storage medium |
CN112631517A (en) * | 2020-12-24 | 2021-04-09 | 北京百度网讯科技有限公司 | Data storage method and device, electronic equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN1182465C (en) | 2004-12-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN1182465C (en) | Method for dynamic transferring data and its storing system | |
CN1291304C (en) | External storage device and data recovering method and program for external storage device | |
US6598119B2 (en) | Database management system with a multiple-level cache arrangement | |
US8312063B2 (en) | Method for storing data for retrieval and transfer | |
US6098074A (en) | Storage management system with file aggregation | |
KR100338224B1 (en) | A very efficient technique for dynamically tracking locality of a reference | |
CN103312776A (en) | Method and device for caching contents of videos by edge node server | |
WO2006104698A2 (en) | Streaming media content delivery system and method for delivering streaming content | |
JPH1125059A (en) | Method for operating network library and recording medium storing network library operation program | |
CN101493826A (en) | Database system based on WEB application and data management method thereof | |
EP0571537A1 (en) | System for storing data in backup tape device | |
CN102541990A (en) | Database redistribution method and system utilizing virtual partitions | |
CN101866359A (en) | Small file storage and visit method in avicade file system | |
CN102307234A (en) | Resource retrieval method based on mobile terminal | |
CN1575464A (en) | Segmentation and processing of continuous data streams using transactional semantics | |
CN107633045A (en) | The statistical method and its system of tenant data capacity in a kind of cloud storage service | |
AU2004285241C1 (en) | Tracking space usage in a database | |
CN1126054C (en) | Protocol for synchronizing parallel processors in mobile communiacation system | |
CN101470733A (en) | Data block copy amount regulation method and distributed file system | |
CN110704431A (en) | Hierarchical storage management method for mass data | |
CN1227592C (en) | Method for managing stream media data | |
CN111427843A (en) | File-oriented mass data hierarchical storage method | |
CN115061630A (en) | Data migration method, device, equipment and medium | |
US20200348877A1 (en) | Server and associated computer program product | |
CN1464468A (en) | Data management system in the internet storage system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20041229 Termination date: 20201204 |
|
CF01 | Termination of patent right due to non-payment of annual fee |