CN116166495A - An out-of-band hard disk failure prediction system, method, device and readable storage medium - Google Patents

Abstract

A kind of out-of-band hard disk fault prediction system, method, device and readable storage medium that the present invention proposes, described system comprises PC end, BMC, expansion card and hard disk backboard, and a plurality of hard disks are connected on hard disk backboard; PC end It is connected to the BMC through the network data, and the expansion card is respectively connected to the BMC and the hard disk backplane data; the PC side accesses the BMC through the preset access method, and obtains the original SMART data of the hard disk and the fault warning data processed by the BMC; the BMC is used to access the expansion The card obtains the original SMART data of the hard disk from the expansion card by polling; the expansion card is used to read the SMART Data data and SMART Threshold data of the hard disk, and feeds the read data back to the BMC according to the interaction rules when the BMC polls . The invention obtains the SMART information of the hard disk in an out-of-band manner based on the SAS Expander, and realizes hard disk failure prediction and early warning.

Description

An out-of-band hard disk failure prediction system, method, device and readable storage medium

Technical Field

The present invention relates to the field of computer technology, and more particularly to an out-of-band hard disk failure prediction system, method, device and readable storage medium.

Background Art

A server is a type of computer that runs faster, has a higher load, and is more expensive than an ordinary computer. A server provides computing or application services to other clients (such as PCs, smartphones, ATMs, and even large devices such as train systems) in the network. A server has high-speed CPU computing power, long-term reliable operation, powerful I/O external data throughput, and better scalability.

Servers can be divided into two categories according to their use: general-purpose servers and dedicated servers. General-purpose servers are servers that are not specially designed for a particular service and can provide a variety of service functions. Most of the current servers are general-purpose servers. Dedicated (or "functional") servers are servers that are specially designed for one or several functions. They are different from general-purpose servers in some aspects. For example, storage servers are servers that carry a large number of special services, including storage management software, additional hardware to ensure high flexibility, RAID configuration types, and additional network connections to ensure that more desktop users are connected to them. Not only do the performance requirements differ from those of general-purpose servers, but they also have special requirements for storage space.

Currently, due to the total number of hard disks directly output from the CPU, SAS Expander is used in storage servers to expand a large number of high-capacity mechanical hard disks to achieve massive storage. However, once the hard disk is damaged, data recovery is required, which may cause data loss in serious cases. Therefore, it is very meaningful to conduct fault warning and reliability assessment of enterprise-level hard disks, and then provide effective guidance for enterprise storage operation and maintenance to prevent data damage or loss.

Summary of the invention

In view of the above problems, the purpose of the present invention is to provide an out-of-band hard disk fault prediction system, method, device and readable storage medium, which obtains the SMART information of the hard disk in an out-of-band manner based on SAS Expander and realizes hard disk fault prediction and warning.

To achieve the above-mentioned purpose, the present invention is implemented through the following technical solutions: an out-of-band hard disk fault prediction system, comprising: a PC end, a BMC, an expansion card and a hard disk backplane, wherein a plurality of hard disks are connected to the hard disk backplane; the PC end is connected to the BMC through network data, and the expansion card is respectively connected to the BMC and the hard disk backplane data; the PC end accesses the BMC through a preset access method, and obtains the original SMART data of the hard disk and the fault warning data processed by the BMC; the BMC is used to access the expansion card, and obtains the original SMART data of the hard disk from the expansion card through polling; the expansion card is used to read the SMART Data data and SMARTThreshold data of the hard disk, and feeds back the read data to the BMC according to the interaction rule when the BMC polls.

Furthermore, the preset access modes include: ipmitool, redfish and web interface.

Furthermore, the BMC is connected to the expansion card data via the I2C bus, and the expansion card is connected to the hard disk backplane data via the SATA interface.

Furthermore, 12 hard disks are connected to the hard disk backplane, and the SMART data of each hard disk includes no more than 30 groups of attributes and corresponding attribute values.

Correspondingly, the present invention also discloses an out-of-band hard disk fault prediction method, comprising: the BMC sends an information acquisition request to the expansion card;

After receiving the request, the expansion card polls the original SMART data of all hard disks in turn, and feeds the aggregated SMART data back to the BMC;

The BMC cooperates with the PC to predict hard disk failures based on SMART data and provide data feedback through a preset transmission method.

Further, after receiving the request, the expansion card sequentially polls the original SMART data of all hard disks, and feeds back the aggregated SMART data to the BMC, including: after receiving the request, the expansion card sequentially polls the original SMART data of all hard disks, aggregates the original SMART data in a hard disk raw data table, and sends the hard disk raw data table to the BMC; wherein the hard disk raw data table includes hard disk ID information and corresponding SMARTID information.

Furthermore, the BMC cooperates with the PC to perform hard disk failure prediction processing according to SMART data, and feeds back the data through a preset transmission method, including: after the BMC obtains the SMART data, the preset hard disk failure prediction algorithm is started on the BMC to perform hard disk failure warning analysis and processing, and the analysis results are sent to the PC through ipmitool, redfish or web.

Furthermore, the BMC cooperates with the PC to perform hard disk failure prediction processing according to SMART data, and feeds back the data through a preset transmission method, including:

After BMC obtains SMART data, it sends the SMART data to the PC through ipmitool, redfish or web. After the PC receives the data, it uses a customized hard disk failure prediction and processing tool to perform hard disk failure warning analysis on the SMART data and display the analysis results.

Accordingly, the present invention discloses an out-of-band hard disk failure prediction device, comprising:

A memory for storing an out-of-band hard disk failure prediction program;

A processor is used to implement the steps of the out-of-band hard disk failure prediction method as described in any one of the above items when executing the out-of-band hard disk failure prediction program.

Accordingly, the present invention discloses a readable storage medium, on which an out-of-band hard disk fault prediction program is stored. When the out-of-band hard disk fault prediction program is executed by a processor, the steps of the out-of-band hard disk fault prediction method as described in any of the above items are implemented.

Compared with the prior art, the beneficial effect of the present invention lies in: the present invention discloses an out-of-band hard disk fault prediction system, method, device and readable storage medium, which obtains the SMART information of the hard disk in an out-of-band manner based on SAS Expander, does not need to install software under the system OS, can realize hard disk fault prediction and early warning without the system user's perception, and facilitates the realization of centralized management of server hard disk fault prediction monitoring.

It can be seen that compared with the prior art, the present invention has outstanding substantive features and significant progress, and the beneficial effects of its implementation are also obvious.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

FIG. 1 is a system structure diagram of a specific implementation mode of the present invention.

FIG. 2 is a method flow chart of a specific embodiment of the present invention.

FIG3 is a schematic diagram of a flow chart of a specific embodiment of the present invention.

DETAILED DESCRIPTION

The core of the present invention is to provide an out-of-band hard disk failure prediction method. In the prior art, due to the total number of hard disks directly output from the CPU, SAS Expander is used in storage servers to expand a large number of high-capacity mechanical hard disks to achieve mass storage. However, once the hard disk is damaged, data recovery is required, which may cause data loss in severe cases. The prior art cannot achieve fault warning and reliability assessment of enterprise-level hard disks.

The out-of-band hard disk fault prediction method provided by the present invention is as follows: first, the BMC sends an information acquisition request to the expansion card. Then, after receiving the request, the expansion card sequentially polls the original SMART data of all hard disks, and feeds back the aggregated SMART data to the BMC. Finally, the BMC cooperates with the PC to perform hard disk fault prediction processing based on the SMART data, and feeds back the data through a preset transmission method. It can be seen that the present invention uses an out-of-band method based on SAS Expander to obtain the SMART information of the hard disk, and realizes hard disk fault prediction and early warning.

In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

Embodiment 1:

As shown in FIG1 , this embodiment provides an out-of-band hard disk fault prediction system, including: a PC end, a BMC, an expansion card, and a hard disk backplane, and a plurality of hard disks are connected to the hard disk backplane.

The PC is connected to the BMC through network data, and the expansion card is connected to the BMC and the hard disk backplane data respectively; the PC accesses the BMC through the preset access method and obtains the original SMART data of the hard disk and the fault warning data processed by the BMC. The BMC is used to access the expansion card and obtain the original SMART data of the hard disk from the expansion card through polling. The expansion card is used to read the SMART Data and SMART Threshold data of the hard disk, and feeds the read data back to the BMC according to the interaction rules when the BMC polls.

Among them, the preset access methods include: ipmitool, redfish and web interface.

As an example, the BMC is connected to the expansion card data through the I2C bus, and the expansion card is connected to the hard disk backplane data through the SATA interface. There are 12 hard disks connected to the hard disk backplane, and the SMART data of each hard disk includes no more than 30 groups of attributes and corresponding attribute values.

It should be noted that in this system, the PC remotely accesses the BMC through the network and obtains the original SMART data of the hard disk and the fault warning data processed by the BMC. The access method may be ipmitool, redfish or web interface. Customers can directly use the hard disk fault warning information of the BMC (a numerical information that identifies the health status), or perform customized fault warning processing through the original SMART data. The BMC accesses the expansion card (Expander) through the I2C bus and obtains the original SMART data of the hard disk from the Expander through polling. Specifically, the SMART data of each hard disk is polled in turn. According to the specification, the SMART data of each hard disk consists of no more than 30 groups of attributes and attribute values. Expander reads the original SMART Data and SMART Threshold data of the hard disk through the SATA interface. These data are necessary for hard disk fault prediction. When the BMC polls, the Expander will feed back these data to the BMC according to the interaction specification.

This embodiment provides an out-of-band hard disk fault prediction system, which obtains the SMART information of the hard disk in an out-of-band manner based on SAS Expander. It does not need to install software under the system OS, can implement hard disk fault prediction and early warning without the system user's awareness, and facilitates the implementation of centralized management of server hard disk fault prediction monitoring.

Embodiment 2:

Based on the first embodiment, as shown in FIG2 , the present invention further discloses an out-of-band hard disk failure prediction method, comprising the following steps:

S1: BMC sends an information acquisition request to the expansion card.

S2: After receiving the request, the expansion card polls the original SMART data of all hard disks in turn, and feeds back the aggregated SMART data to the BMC.

Specifically, after receiving the request, the expansion card polls the original SMART data of all hard disks in turn, summarizes the original SMART data in the hard disk original data table, and sends the hard disk original data table to the BMC. The hard disk original data table includes hard disk ID information and corresponding SMARTID information.

S3: The BMC cooperates with the PC to predict hard disk failures based on SMART data and provide data feedback through a preset transmission method.

In this step, the hard disk failure prediction process can be carried out in the following two ways:

1. After the BMC obtains the SMART data, it starts the preset hard disk failure prediction algorithm on the BMC side to perform hard disk failure warning analysis and processing, and sends the analysis results to the PC side through ipmitool, redfish or web.

2. After BMC obtains SMART data, it sends the SMART data to the PC through ipmitool, redfish or web. After the PC receives the data, it uses a customized hard disk failure prediction processing tool to perform hard disk failure warning analysis on the SMART data and display the analysis results.

Embodiment three:

Based on the above embodiment, as shown in FIG3 , this embodiment further discloses an out-of-band hard disk failure prediction method, including a BMC part and an Expander part.

As the master of I2C, the BMC part obtains the original SMART data of the hard disk from the Expander. It uses a polling method and polls multiple times, polling the SMART data of one or more hard disks each time until all the SMART data of all hard disks are returned. After the BMC obtains the SMART data, it can perform hard disk failure prediction processing on the BMC side and send the processed data to the client; it can also directly send the original SMART data to the client and have the client customize the hard disk failure prediction processing. The BMC port can pass this data to the client through ipmitool, redfish, or web and other methods.

The Expander part will use the SATA interface to poll the SMART information of all hard disks in turn and summarize this information. As shown in Table 1, it is an example of the original SMART data of the hard disk obtained by the Expander. The title of the table is described in the SMART specification "SFF8035-R2". The summarized data is packaged in units of (hard disk ID, SMARTID), that is, one piece of data only stores one piece of SMART attribute information of a hard disk, corresponding to one row of data in the table. Expander will act as the slave end of the I2C of the BMC, and when the BMC issues a request, it will feed back the SMART information of the hard disk to the BMC.

Table 1 - SMART raw data table of a single hard disk

This embodiment provides an out-of-band hard disk fault prediction method, which obtains the SMART information of the hard disk in an out-of-band manner based on SAS Expander. It does not need to install software under the system OS, can implement hard disk fault prediction and warning without the system user's perception, and facilitates the implementation of centralized management of server hard disk fault prediction monitoring.

Embodiment 4:

This embodiment discloses an out-of-band hard disk fault prediction device, including a processor and a memory; wherein the processor implements the following steps when executing an out-of-band hard disk fault prediction program stored in the memory:

1. BMC sends an information acquisition request to the expansion card.

2. After receiving the request, the expansion card polls the original SMART data of all hard disks in turn, and feeds back the aggregated SMART data to the BMC.

3. BMC cooperates with the PC to predict hard disk failures based on SMART data and provide data feedback through a preset transmission method.

Furthermore, the out-of-band hard disk failure prediction device in this embodiment may also include:

The input interface is used to obtain an external hard disk fault prediction program imported from the outside, and save the obtained external hard disk fault prediction program to the memory, and can also be used to obtain various instructions and parameters transmitted by external terminal devices, and transmit them to the processor, so that the processor can use the above various instructions and parameters to carry out corresponding processing. In this embodiment, the input interface can specifically include but is not limited to a USB interface, a serial interface, a voice input interface, a fingerprint input interface, a hard disk reading interface, etc.

The output interface is used to output various data generated by the processor to the terminal device connected thereto, so that other terminal devices connected to the output interface can obtain various data generated by the processor. In this embodiment, the output interface may specifically include but is not limited to a USB interface, a serial interface, etc.

The communication unit is used to establish a remote communication connection between the out-of-band hard disk failure prediction device and the external server so that the out-of-band hard disk failure prediction device can mount the image file to the external server. In this embodiment, the communication unit may specifically include but is not limited to a remote communication unit based on wireless communication technology or wired communication technology.

The keyboard is used to obtain various parameter data or instructions input by the user by tapping the keycaps in real time.

The display is used to display the relevant information of the server power supply line short circuit locating process in real time.

The mouse can be used to assist users in inputting data and simplify user operations.

Embodiment five:

This embodiment also discloses a readable storage medium, and the readable storage medium mentioned here includes random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, hard disk, removable hard disk, CD-ROM or any other form of storage medium known in the technical field. The readable storage medium stores an out-of-band hard disk fault prediction program, and when the out-of-band hard disk fault prediction program is executed by the processor, the following steps are implemented:

1. The BMC sends an information acquisition request to the expansion card.

2. After receiving the request, the expansion card polls the original SMART data of all hard disks in turn, and feeds back the aggregated SMART data to the BMC.

3. BMC cooperates with the PC to predict hard disk failures based on SMART data and provide data feedback through a preset transmission method.

In summary, the present invention obtains the SMART information of the hard disk in an out-of-band manner based on SAS Expander, and realizes hard disk failure prediction and warning.

In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. As for the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

In the several embodiments provided by the present invention, it should be understood that the disclosed systems, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or units, which can be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each module may exist physically separately, or two or more modules may be integrated into one unit.

Similarly, each processing unit in each embodiment of the present invention may be integrated into one functional module, or each processing unit may exist physically, or two or more processing units may be integrated into one functional module.

The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

The above is a detailed introduction to the out-of-band hard disk failure prediction method, system, device and readable storage medium provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims (10)

1. An out-of-band hard disk failure prediction system, comprising: the system comprises a PC end, a BMC, an expansion card and a hard disk backboard, wherein a plurality of hard disks are connected to the hard disk backboard;

the PC end is connected with the BMC through network data, and the expansion card is respectively connected with the BMC and the hard disk backboard through data;

the PC side accesses the BMC through a preset access mode, and acquires original SMART data of the hard disk and fault early warning data processed by the BMC;

the BMC is used for accessing the expansion card and acquiring original SMART data of the hard disk from the expansion card in a polling mode; the expansion card is used for reading SMART Data and SMART Threshold Data of the hard disk and feeding back the read Data to the BMC according to the interaction rule when the BMC polls.

2. The out-of-band hard disk failure prediction system according to claim 1, wherein the preset access manner comprises:

ipmitool, redfish and a web interface.

3. The out-of-band hard disk failure prediction system of claim 1, wherein the BMC is in data connection with an expansion card via an I2C bus, and the expansion card is in data connection with a hard disk backplane via a SATA interface.

4. The out-of-band hard disk failure prediction system of claim 1, wherein 12 hard disks are connected to the hard disk backplane, and wherein SMART data for each hard disk includes no more than 30 sets of attributes and corresponding attribute values.

5. The out-of-band hard disk fault prediction method is characterized by comprising the following steps of:

the BMC sends an information acquisition request to the expansion card;

after receiving the request, the expansion card sequentially polls the original SMART data of all hard disks, and feeds back the SMART data after data aggregation to the BMC;

and the BMC is matched with the PC end to perform hard disk fault prediction processing according to the SMART data, and the data is fed back through a preset transmission mode.

6. The out-of-band hard disk failure prediction method according to claim 5, wherein the extended card sequentially polls original SMART data of all hard disks after receiving the request, and feeds back the SMART data after data aggregation to the BMC, comprising:

after receiving the request, the expansion card sequentially polls the original SMART data of all the hard disks, gathers the original SMART data in an original hard disk data table, and sends the original hard disk data table to the BMC;

the hard disk original data table comprises hard disk ID information and corresponding SMARTID information.

7. The method for predicting out-of-band hard disk failure according to claim 5, wherein the BMC cooperates with the PC side to perform hard disk failure prediction processing according to SMART data, and performs data feedback through a preset transmission mode, and the method comprises:

after the BMC acquires the SMART data, a preset hard disk fault prediction algorithm is started at the BMC end to perform hard disk fault early warning analysis processing, and an analysis result is sent to the PC end through ipmitool, redfish or a web mode.

8. The method for predicting out-of-band hard disk failure according to claim 5, wherein the BMC cooperates with the PC side to perform hard disk failure prediction processing according to SMART data, and performs data feedback through a preset transmission mode, and the method comprises:

after the BMC acquires the SMART data, the SMART data is sent to the PC end through ipmitool, redfish or a web mode; after the PC receives the data, the SMART data is subjected to hard disk fault early warning analysis processing by using a customized hard disk fault prediction processing tool, and an analysis result is displayed.

9. An out-of-band hard disk failure prediction apparatus, comprising:

the memory is used for storing out-of-band hard disk fault prediction programs;

a processor for implementing the steps of the out-of-band hard disk failure prediction method according to any one of claims 4 to 8 when executing the out-of-band hard disk failure prediction program.

10. A readable storage medium, characterized by: the readable storage medium has stored thereon an out-of-band hard disk failure prediction program which, when executed by a processor, implements the steps of the out-of-band hard disk failure prediction method of any of claims 4 to 8.

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