CN102520882A - Static random memory and implementation method thereof - Google Patents
Static random memory and implementation method thereof Download PDFInfo
- Publication number
- CN102520882A CN102520882A CN2011104041948A CN201110404194A CN102520882A CN 102520882 A CN102520882 A CN 102520882A CN 2011104041948 A CN2011104041948 A CN 2011104041948A CN 201110404194 A CN201110404194 A CN 201110404194A CN 102520882 A CN102520882 A CN 102520882A
- Authority
- CN
- China
- Prior art keywords
- data
- storage
- access
- static random
- implementation method
- 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.)
- Pending
Links
Abstract
The invention provides a static random memory and an implementation method thereof. A working principle of data classified storage in the method is based on locality of data access. Classified storage includes that data are respectively stored on storage equipment with different performances by different storage modes according to indexes such as importance, access frequency, retention time, performances and the like of the data, and automatic transfer of a data object among the storage equipment is realized by means of classified storage management. The data which are not accessed frequently are automatically transferred to a low storage level, storage spaces with high cost are released for data accessed more frequently, and accordingly better cost performance can be obtained.
Description
Technical field
The present invention relates to the Computer Storage field, be specifically related to a kind of SRAM and its implementation.
Technical background
Database is vital for present enterprise, has deposited occurrences in human life, finance, client or the like the data of enterprise here, and in a single day database can not visit, can't estimate influence and economic loss that enterprise causes, or even destructive.Whether popular in the market database monitoring software and some high available software can accomplish to serve the monitoring with process-level, are exactly the supervision through database service and process life or death, come the judgment data storehouse also in running status.But there is leak in such supervision, can't monitor for ossified this special state.So-called ossified state is meant database because the visit of big handling capacity or database server configuration are lower; Cause data software ossified (being similar to the image that crashes); At this time serve and all be alive; So monitoring software can not reported to the police yet, but database can not have been visited in fact.The present invention solves similar this situation exactly, realizes a kind of monitoring profound more to database.
Summary of the invention
The principle of work of data staging storage is based on the locality of data access.Classification storage is indexs such as the importance, access frequency, retention time, performance according to data; Take different storage modes to be stored in respectively on the memory device of different performance data, realize the Autonomic Migration Framework of data object between memory device through hierarchical storage management.Through moving on to level lower in the memory hierarchy automatically without the data that frequentation is asked, the storage space that discharges higher cost is given the more data of frequent access, can obtain better cost performance.Like this, can significantly reduce non-importance data in the shared space of one-level local disk on the one hand, also can accelerate the memory property of total system.
In this structure; Memory device generally has tape library, disk or disk array etc.; And that disk can be divided into FC disk, scsi disk, SATA disk etc. according to its performance is multiple, and flash memory storage medium (non-volatile random access memory (NVRAM)) is also because higher performance can be used as one-level higher in the ranked data storage organization.Generally, costs such as disk or disk array are high, fireballing equipment, be used for storing the important information of frequent visit, and lower-cost storage resources such as tape library are used for depositing the lower information of access frequency.Wherein, High-end storage mainly is the memory device that disk system (like scsi disk, FC disk, SSD disk array) is at a high speed formed, and is fit to the program and the file of the frequent and fast access of those needs of storage, and its access speed is fast; Performance is good, and the storage price is relatively costly.High-end storage is the storage of work level, and its maximum characteristic is that memory device keeps " online " state constantly with the data of being stored, and can read at any time and revise, to satisfy front end application server or the database rate request to the data visit.The middle-end storage generally is some access speeds and the low side disk unit of price between hyperdisk and tape.Middle-end storage extension is relatively extensive, mainly is positioned the application between online storage of client and the offline storage.Just be meant with those to be not often to use (the for example archive that is of little use of some long preservation), visit capacity and little deposit data are on the lower memory device of performance in other words.But the requirement to these equipment is that addressing is rapid, transfer rate is high, and therefore, the middle-end storage is not high comparatively speaking to performance requirement, but requires access performance relatively preferably.In most cases because the data that are of little use will account for the larger specific gravity of total amount of data, this also just requires the middle-end memory device relatively large on the needs capacity simultaneously.The middle-end memory device mainly contains equipment such as SATA disk array, DVD-RAM CD tower and CD server.
The low side storage then refers to data are backuped on tape or the tape library.The data that in most cases are mainly used in high-end storage or middle-end storage back up, and to take precautions against contingent data disaster, therefore claim the storage of backup level again.The low side offline storage adopts tape as storage medium usually, and its access speed is low, but cheap mass memory.
The hierarchical storage management software of this system through combining with the storage hardware product, according to the rule in data activity cycle, the position that the rational deployment data are preserved.Adopt the data storage device distribution principle of " earlier data are migrated in the middle-end storage from high-end storage, again data are finally filed to the low side storage ", help the user set up one reasonably, data management platform efficiently.The rule of data Autonomic Migration Framework, promptly the Data Position choice function is following.
Data Position choice function Location (Data)=
Wherein
is the parameters such as importance, access frequency, retention time, performance requirement of data,
be the selectivity factor of corresponding
.When the value of Location (Data) was big more, its memory location was forward more, and the equipment of storage is also good more.After Location (Data) value diminishes, will carry out data migtation to the equipment of relatively low level.
Claims (1)
1. a SRAM and its implementation; It is characterized in that high capacity, the expansion of level and smooth memory capacity, the high extendible storage administration ability in the whole enterprise-wide is provided, reduce online high-end storage data volume; Optimize the performance of high-end storage; Rational deployment data storage, reduce the system burden that a large amount of historical datas cause, thus the elevator system overall performance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011104041948A CN102520882A (en) | 2011-12-08 | 2011-12-08 | Static random memory and implementation method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011104041948A CN102520882A (en) | 2011-12-08 | 2011-12-08 | Static random memory and implementation method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102520882A true CN102520882A (en) | 2012-06-27 |
Family
ID=46291827
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011104041948A Pending CN102520882A (en) | 2011-12-08 | 2011-12-08 | Static random memory and implementation method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102520882A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103064914A (en) * | 2012-12-20 | 2013-04-24 | 曙光信息产业(北京)有限公司 | Data processing system and method |
| CN104298475A (en) * | 2014-10-13 | 2015-01-21 | 合一网络技术(北京)有限公司 | Data storage optimization method |
| CN104869140A (en) * | 2014-02-25 | 2015-08-26 | 阿里巴巴集团控股有限公司 | Multi-cluster system and method for controlling data storage of multi-cluster system |
| CN109558461A (en) * | 2018-10-23 | 2019-04-02 | 平安医疗健康管理股份有限公司 | A kind of medical data classification storage method and apparatus |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101361048A (en) * | 2006-02-03 | 2009-02-04 | 国际商业机器公司 | Restoring a file to its proper storage tier in an information lifecycle management environment |
| CN102508789A (en) * | 2011-10-14 | 2012-06-20 | 浪潮电子信息产业股份有限公司 | Grading storage method for system |
-
2011
- 2011-12-08 CN CN2011104041948A patent/CN102520882A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101361048A (en) * | 2006-02-03 | 2009-02-04 | 国际商业机器公司 | Restoring a file to its proper storage tier in an information lifecycle management environment |
| CN102508789A (en) * | 2011-10-14 | 2012-06-20 | 浪潮电子信息产业股份有限公司 | Grading storage method for system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103064914A (en) * | 2012-12-20 | 2013-04-24 | 曙光信息产业(北京)有限公司 | Data processing system and method |
| CN104869140A (en) * | 2014-02-25 | 2015-08-26 | 阿里巴巴集团控股有限公司 | Multi-cluster system and method for controlling data storage of multi-cluster system |
| CN104869140B (en) * | 2014-02-25 | 2018-05-22 | 阿里巴巴集团控股有限公司 | The method of the data storage of multi-cluster system and control multi-cluster system |
| CN104298475A (en) * | 2014-10-13 | 2015-01-21 | 合一网络技术(北京)有限公司 | Data storage optimization method |
| CN109558461A (en) * | 2018-10-23 | 2019-04-02 | 平安医疗健康管理股份有限公司 | A kind of medical data classification storage method and apparatus |
| CN109558461B (en) * | 2018-10-23 | 2023-08-18 | 深圳平安医疗健康科技服务有限公司 | Medical data classified storage method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102508789A (en) | Grading storage method for system | |
| US8909887B1 (en) | Selective defragmentation based on IO hot spots | |
| US9665282B2 (en) | Facilitation of simultaneous storage initialization and data destage | |
| US9569457B2 (en) | Data processing method and apparatus for distributed systems | |
| CN100419664C (en) | Incremental backup operations in storage networks | |
| US11656803B2 (en) | Tiering data strategy for a distributed storage system | |
| CN104272386A (en) | Reducing power consumption by migration of data within tiered storage system | |
| CN102207830B (en) | Cache dynamic allocation management method and device | |
| CN103761053B (en) | A kind of data processing method and device | |
| US7596657B2 (en) | Increased storage capacity for solid state disks using data compression | |
| JP5330503B2 (en) | Optimize storage performance | |
| US20140108723A1 (en) | Reducing metadata in a write-anywhere storage system | |
| US9612758B1 (en) | Performing a pre-warm-up procedure via intelligently forecasting as to when a host computer will access certain host data | |
| CN1770114A (en) | Copy operations in storage networks | |
| WO2015015550A1 (en) | Computer system and control method | |
| US20090240881A1 (en) | System and Method for Information Handling System Operation With Different Types of Permanent Storage Devices | |
| US20180025055A1 (en) | Fault-tolerant database query execution plans using non-volatile memories | |
| CN104375954B (en) | The method and computer system for based on workload implementing that the dynamic of cache is enabled and disabled | |
| CN1770115A (en) | Recovery operations in storage networks | |
| CN107615254A (en) | The cache memory architectures and algorithm of blending objects storage device | |
| CN102520882A (en) | Static random memory and implementation method thereof | |
| US20160179379A1 (en) | System and method for data management across volatile and non-volatile storage technologies | |
| WO2020016649A2 (en) | Pushing a point in time to a backend object storage for a distributed storage system | |
| US11609910B1 (en) | Automatically refreshing materialized views according to performance benefit | |
| US11182077B1 (en) | Systems, devices and methods using a solid state device as a caching medium with an SSD filtering or SSD pre-fetch algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20120627 |