CN103559115A - SSD intelligent monitoring system based on SMART - Google Patents
SSD intelligent monitoring system based on SMART Download PDFInfo
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Abstract
The invention is adaptable to the technical field of storage, and provides an SSD intelligent monitoring system based on SMART. The SSD intelligent monitoring system is mainly used for monitoring the usage condition of an SSD and comprises a user behavior monitoring module, a user behavior analyzing module, a self-detecting module, a display module and an early warning module. The user behavior monitoring module is used for monitoring using behaviors a user upon the SSD and counting using habits, including data writing amount in a unit period, on the SSD by the user; the user behavior analyzing module is used for analyzing user's using habits, acquiring the current performance state of the SSD and pre-estimating the remaining life of the SSD; the self-detecting module is used for monitoring the performance states of the SSD, such as the number of failed Flash blocks; the display module is used for humanely displaying data acquired by the intelligent monitoring system to the user; the early warning module is used for sending early warning reminders when user's using behavior is abnormal or the remaining life of the SSD declines sharply. The invention further provides an SSD life predicting method realized through the modules correspondingly. Thus, by the aid of the system, usage condition of the SSD can be monitored effectively.
Description
Technical field
The present invention relates to technical field of memory, relate in particular to a kind of intelligent monitor system of solid state hard disc.
Background technology
The memory device of current SSD is on the market mainly NAND Flash, and SSD has than the fast a lot of reading and writing data speed of traditional mechanical hard disk, but is subject to the impact of NAND Flash particle performance characteristic, and the life-span of SSD is limited.NAND Flash mainly contains three types, is respectively single layer cell (Single-Level Cell is called for short SLC), multilevel-cell (Multi-Level Cell is called for short MLC) and three-layer unit (Triple-Level Cell is called for short TLC).Wherein SLC can store 1bit/cell, and feature is that storage speed is fast, the life-span long (approximately 100,000 times erasable), but can storage space little and price is super expensive; TLC can store 3bit/cell, be characterized in that storage space is large, low price, but storage speed is slow and the life-span short (only erasable 500-3000 time); MLC can store 2bit/cell, and the features such as its storage space, price, storage speed and life-span (approximately 10,000 times erasable) are all between SLC and TLC, and cost performance is relatively high.
The erasable number of times positive correlation of the life-span of SSD and NAND Flash, when all NAND Flash in SSD are can not be more erasable, SSD also just can not re-use.Because the erasable number of times of NAND Flash is limited, so be limited the serviceable life of SSD.User in the use procedure of SSD, if cannot know in advance the serviceable life of SSD, the risk that the SSD that likely occurs suddenly to cause because of SSD end-of-life cannot be used.In addition, the life-span of SSD is directly related with user's use habit, in order effectively to extend the serviceable life of SSD, when user's use habit abnormal (writing in a short time excess data), is necessary that reminding user corrects use habit, and provides suitable use suggestion.
Current existing SSD supervisory system function singleness, only to adopt NAND Flash to remain the ratio value representation SSD remaining life of erasable number of times and total erasable number of times, this ratio is percentage, very not humane, domestic consumer generally cannot intuitivism apprehension SSD remaining serviceable life.In addition, in the use procedure of SSD, user also needs to understand the current performance condition of SSD, and as working temperature and the bad piece number of Flash, and when SSD is used appearance abnormal, reply user has early warning.
In summary,, obviously there is in actual use inconvenience and defect in existing SSD supervisory system, so be necessary to be improved.
Summary of the invention
For above-mentioned defect, the object of the present invention is to provide a kind of SSD intelligent monitor system based on SMART.
To achieve these goals, the invention provides a kind of SSD intelligent monitor system based on SMART, comprise five modules such as user behavior monitoring modular, user behavior analysis module, selftest module, display module and warning module.The system that described five modules form has following function:
1) automatically calculate and show that by SMART estimating of SSD remains service time;
2) automatically calculate and show the performance condition of SSD;
3) automatically detect and show the bad piece of Flash of SSD;
4) automatically detect and show that other are abnormal;
5) SSD occurs when abnormal obtaining early warning.
According to intelligent monitor system of the present invention, the monitored object of described system is solid state hard disc.
According to SSD intelligent monitor system of the present invention, described user behavior monitoring modular is for the usage behavior of monitor user ' to SSD, and the use habit of counting user to SSD comprises the amount of writing of data in unit period.
According to SSD intelligent monitor system of the present invention, described user behavior analysis module is for analysis user use habit, the residual life that obtains the current performance condition of SSD and estimate SSD.
According to SSD intelligent monitor system of the present invention, described selftest module is used for monitoring the performance conditions such as the bad piece number of SSD self Flash;
According to SSD intelligent monitor system of the present invention, described display module for data hommization that described intelligent monitor system is obtained present to user.
According to SSD intelligent monitor system of the present invention, described warning module sends early warning while reducing sharply for the residual life of or SSD abnormal at user's usage behavior.
The present invention is by using the monitoring of SSD behavior to user, statistics analysis user use habit, by the method for machine learning, estimate the remaining life of SSD, and can obtain SSD current performance situation, if the information such as the bad piece number of working temperature and Flash.When the remaining life of SSD is less than a certain threshold value or user's usage behavior when abnormal, the present invention can be in time for user provides early warning.
In sum, the present invention is the SSD intelligent monitor system based on SMART, and it can monitor the behaviour in service of SSD effectively.
Accompanying drawing explanation
Fig. 1 is the SSD intelligent monitor system structural representation that the present invention is based on SMART;
Fig. 2 is the SSD intelligent monitor system functional block diagram that the present invention is based on SMART.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.Referring to Fig. 1, the invention provides a kind of SSD intelligent monitor system based on SMART, its monitored object is solid state hard disc, concrete, this intelligent monitor system comprises user behavior monitoring modular, user behavior analysis module, display module and warning module.
In concrete application, user behavior monitoring modular is responsible for detecting and the use habit of counting user to SSD.User behavior analysis module will be analyzed user's use habit, estimate the residue service time of SSD by prediction algorithm.Selftest module can scan SSD current performance parameter, as current SSD working temperature and the bad piece number of Flash.The data that all analysis and calculations obtain all can be presented to user by display module.When SSD user's usage behavior occurs that abnormal or residue is less than a certain threshold value and is service time, estimate that module can send early warning to user in time.
In a specific embodiment of the present invention, participate in Fig. 1, the SSD intelligent monitor system based on SMART is comprised of five modules such as user behavior monitoring modular, user behavior analysis module, selftest module, display module and warning modules.
In practical application, user behavior monitoring modular counting user is the information such as data writing amount to SSD in unit period, by the statistical information input user behavior analysis module of these user habits, then the statistical information of user behavior analysis module based on these user habits, in conjunction with Forecasting Methodology, estimate just SSD and remain service time, and will specifically remain and be transferred to display module service time, finally by display module, the information such as residual life are presented to computer terminal, are convenient to user and understand at a glance SSD current residual serviceable life.
Selftest module mainly scans and records the bad block message of NAND Flash of SSD bottom, and the performance information of working temperature, then these communications that get is shown to display module, thereby is convenient to the performance condition that user understands current SSD.
When there is unusual condition in SSD, comprise that the abnormal and SSD remaining life of user's usage behavior is less than a certain threshold value, warning module can be started by SSD intelligent monitor system of the present invention, to user, provides early warning information.
Referring to Fig. 2, SSD intelligent monitor system of the present invention mainly can be monitored SSD and remain service time, disk performance situation, the bad piece number of Flash and other abnormal informations.The information of above-mentioned monitoring is all aggregated into the SSD intelligent monitor system based on SMART of the present invention, and by systematic unity of the present invention, exports to computer terminal and show.
In sum, the present invention passes through effectively in conjunction with effects such as user behavior monitoring modular, user behavior analysis module, selftest module, display module and warning modules, can effectively obtain SSD and remain service time, disk performance situation, the bad piece number of Flash and other abnormal informations, effectively monitor the performance condition in SSD use procedure.
Certainly; the present invention also can have other various embodiments; in the situation that not deviating from spirit of the present invention and essence thereof; those of ordinary skill in the art are when making according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to the protection domain of the appended claim of the present invention.
Claims (7)
1. the SSD intelligent monitor system based on SMART, is characterized in that, described intelligent monitor system comprises user behavior monitoring modular, user behavior analysis module, selftest module, display module and warning module.
2. intelligent monitor system according to claim 1, is characterized in that, the monitored object of described intelligent system is solid state hard disc.
3. intelligent monitor system according to claim 1, is characterized in that, described user behavior monitoring modular can be added up and the use habit of recording user to SSD.
4. intelligent monitor system according to claim 1, is characterized in that, described user behavior analysis module can be estimated the remaining life of SSD.
5. intelligent monitor system according to claim 1, is characterized in that, described selftest module can detect the bad piece of Flash of SSD automatically, and the performance condition of the current SSD of automatic acquisition.
6. one kind is passed through the SSD remaining life Forecasting Methodology that supervisory system realizes as claimed in claim 1, it is characterized in that, described user behavior monitoring modular inputs to user behavior analysis module by the data of obtaining, the latter is according to user's use habit, adopt machine learning algorithm, estimate out SSD remaining life, estimation results is shown by display module.
7. life-span prediction method according to claim 6, is characterized in that, when SSD remaining life sharply reduces or is less than a certain threshold value, described intelligent monitor system starts warning module, exports and shows early warning information.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105824576A (en) * | 2015-01-23 | 2016-08-03 | 国际商业机器公司 | Deduplication tracking method and system for accurate lifespan prediction |
| CN106250064A (en) * | 2016-08-19 | 2016-12-21 | 深圳大普微电子科技有限公司 | Solid state hard disc controls device and solid state hard disc data access method based on study |
| CN106528377A (en) * | 2016-11-11 | 2017-03-22 | 合肥联宝信息技术有限公司 | Solid state drive health status monitoring method and device |
| CN106779008A (en) * | 2015-11-23 | 2017-05-31 | 杭州海康威视数字技术股份有限公司 | SD card, video camera and SD card reliability early warning system |
| CN106991031A (en) * | 2017-03-07 | 2017-07-28 | 记忆科技(深圳)有限公司 | A kind of implementation method of SMART information monitorings |
| CN107017025A (en) * | 2016-01-28 | 2017-08-04 | 瑞昱半导体股份有限公司 | The solid state hard disc control circuit of Ssd apparatus and correlation with alarming device |
| US10235056B2 (en) | 2014-09-26 | 2019-03-19 | Western Digital Technologies, Inc. | Storage device health diagnosis |
| CN109558287A (en) * | 2018-12-13 | 2019-04-02 | 腾讯科技（深圳）有限公司 | A kind of solid-state disk service life prediction technique, device and system |
| CN110515752A (en) * | 2019-08-23 | 2019-11-29 | 浪潮(北京)电子信息产业有限公司 | A kind of disk unit life-span prediction method and device |
| CN110554936A (en) * | 2018-06-04 | 2019-12-10 | 记忆科技(深圳)有限公司 | SSD (solid State disk) testing method and system |
| CN111309513A (en) * | 2020-02-07 | 2020-06-19 | 北京海博思创科技有限公司 | Data storage system and management method |
| CN112083873A (en) * | 2019-06-14 | 2020-12-15 | 北京忆芯科技有限公司 | Method and device for intelligently identifying unreliable blocks of nonvolatile storage medium |
| CN112684973A (en) * | 2019-10-18 | 2021-04-20 | 建兴储存科技股份有限公司 | Server system with solid-state storage and related control method thereof |
| CN114327288A (en) * | 2021-12-31 | 2022-04-12 | 深圳忆联信息系统有限公司 | Prediction method and device for SSD (solid State disk) residual user use time, computer equipment and storage medium |
| CN114817860A (en) * | 2022-05-20 | 2022-07-29 | 深圳市金胜电子科技有限公司 | Data statistics method and device, solid state disk and medium |
| WO2022127944A3 (en) * | 2022-03-24 | 2022-09-15 | 苏州佳世达电通有限公司 | Monitoring method and apparatus for electronic device, and electronic device |
| US11994934B2 (en) | 2021-11-09 | 2024-05-28 | Samsung Electronics Co., Ltd. | Failure prediction method and device for a storage device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100223510A1 (en) * | 2006-01-20 | 2010-09-02 | Panasonic Corporation | Nonvolatile memory device, nonvolatile memory system, and defect management method for nonvolatile memory device |
| CN101826367A (en) * | 2009-06-02 | 2010-09-08 | 深圳市朗科科技股份有限公司 | Method and device for monitoring reliability of semiconductor storage device |
| US20120144145A1 (en) * | 2010-12-06 | 2012-06-07 | Shin Young-Kyun | Apparatus and method for measuring lifespan of memory device |
| US20120179942A1 (en) * | 2006-11-30 | 2012-07-12 | Kabushiki Kaisha Toshiba | Memory system |
-
2013
- 2013-09-29 CN CN201310455055.7A patent/CN103559115A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100223510A1 (en) * | 2006-01-20 | 2010-09-02 | Panasonic Corporation | Nonvolatile memory device, nonvolatile memory system, and defect management method for nonvolatile memory device |
| US20120179942A1 (en) * | 2006-11-30 | 2012-07-12 | Kabushiki Kaisha Toshiba | Memory system |
| CN101826367A (en) * | 2009-06-02 | 2010-09-08 | 深圳市朗科科技股份有限公司 | Method and device for monitoring reliability of semiconductor storage device |
| US20120144145A1 (en) * | 2010-12-06 | 2012-06-07 | Shin Young-Kyun | Apparatus and method for measuring lifespan of memory device |
Cited By (23)
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| US10235056B2 (en) | 2014-09-26 | 2019-03-19 | Western Digital Technologies, Inc. | Storage device health diagnosis |
| CN105824576A (en) * | 2015-01-23 | 2016-08-03 | 国际商业机器公司 | Deduplication tracking method and system for accurate lifespan prediction |
| CN105824576B (en) * | 2015-01-23 | 2018-12-14 | 国际商业机器公司 | Duplicate removal tracking and system for Accurate Prediction service life |
| CN106779008A (en) * | 2015-11-23 | 2017-05-31 | 杭州海康威视数字技术股份有限公司 | SD card, video camera and SD card reliability early warning system |
| CN107017025A (en) * | 2016-01-28 | 2017-08-04 | 瑞昱半导体股份有限公司 | The solid state hard disc control circuit of Ssd apparatus and correlation with alarming device |
| CN106250064A (en) * | 2016-08-19 | 2016-12-21 | 深圳大普微电子科技有限公司 | Solid state hard disc controls device and solid state hard disc data access method based on study |
| CN106528377A (en) * | 2016-11-11 | 2017-03-22 | 合肥联宝信息技术有限公司 | Solid state drive health status monitoring method and device |
| CN106991031A (en) * | 2017-03-07 | 2017-07-28 | 记忆科技(深圳)有限公司 | A kind of implementation method of SMART information monitorings |
| CN110554936A (en) * | 2018-06-04 | 2019-12-10 | 记忆科技(深圳)有限公司 | SSD (solid State disk) testing method and system |
| CN109558287A (en) * | 2018-12-13 | 2019-04-02 | 腾讯科技（深圳）有限公司 | A kind of solid-state disk service life prediction technique, device and system |
| CN109558287B (en) * | 2018-12-13 | 2020-10-30 | 腾讯科技（深圳）有限公司 | Method, device and system for predicting service life of solid state disk |
| CN112083873B (en) * | 2019-06-14 | 2023-06-20 | 北京忆芯科技有限公司 | Method and device for intelligently identifying unreliable blocks of nonvolatile storage medium |
| CN112083873A (en) * | 2019-06-14 | 2020-12-15 | 北京忆芯科技有限公司 | Method and device for intelligently identifying unreliable blocks of nonvolatile storage medium |
| WO2020248798A1 (en) * | 2019-06-14 | 2020-12-17 | 北京忆芯科技有限公司 | Method and device for intelligently identifying unreliable block in non-volatile storage medium |
| CN110515752B (en) * | 2019-08-23 | 2022-04-22 | 浪潮(北京)电子信息产业有限公司 | Disk equipment service life prediction method and device |
| CN110515752A (en) * | 2019-08-23 | 2019-11-29 | 浪潮(北京)电子信息产业有限公司 | A kind of disk unit life-span prediction method and device |
| CN112684973A (en) * | 2019-10-18 | 2021-04-20 | 建兴储存科技股份有限公司 | Server system with solid-state storage and related control method thereof |
| CN111309513A (en) * | 2020-02-07 | 2020-06-19 | 北京海博思创科技有限公司 | Data storage system and management method |
| US11994934B2 (en) | 2021-11-09 | 2024-05-28 | Samsung Electronics Co., Ltd. | Failure prediction method and device for a storage device |
| CN114327288A (en) * | 2021-12-31 | 2022-04-12 | 深圳忆联信息系统有限公司 | Prediction method and device for SSD (solid State disk) residual user use time, computer equipment and storage medium |
| CN114327288B (en) * | 2021-12-31 | 2024-02-20 | 深圳忆联信息系统有限公司 | Method and device for predicting use time of SSD (solid State disk) residual user, computer equipment and storage medium |
| WO2022127944A3 (en) * | 2022-03-24 | 2022-09-15 | 苏州佳世达电通有限公司 | Monitoring method and apparatus for electronic device, and electronic device |
| CN114817860A (en) * | 2022-05-20 | 2022-07-29 | 深圳市金胜电子科技有限公司 | Data statistics method and device, solid state disk and medium |
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Application publication date: 20140205 |