CN116166495A - Out-of-band hard disk fault prediction system, method and device and readable storage medium - Google Patents

Out-of-band hard disk fault prediction system, method and device and readable storage medium Download PDF

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CN116166495A
CN116166495A CN202211574304.XA CN202211574304A CN116166495A CN 116166495 A CN116166495 A CN 116166495A CN 202211574304 A CN202211574304 A CN 202211574304A CN 116166495 A CN116166495 A CN 116166495A
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hard disk
data
bmc
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刘波
宋成磊
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Suzhou Inspur Intelligent Technology Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3037—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a memory, e.g. virtual memory, cache
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3055—Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
    • G06F11/3093—Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/324—Display of status information
    • G06F11/327—Alarm or error message display
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466—Performance evaluation by tracing or monitoring
    • G06F11/3476—Data logging
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract

The invention provides an out-of-band hard disk fault prediction system, a method, a device and a readable storage medium, wherein the system comprises a PC (personal computer) end, a BMC (baseboard management controller), an expansion card and a hard disk backboard, and 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. The invention acquires SMART information of the hard disk in an out-of-band mode based on the SAS Expander, and realizes hard disk fault prediction and early warning.

Description

Out-of-band hard disk fault prediction system, method and device and readable storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a system, a method, an apparatus, and a readable storage medium for predicting an out-of-band hard disk failure.
Background
A server is a type of computer that runs faster, is more loaded, and is more expensive than a normal computer. The server provides computing or application services to other clients in the network (e.g., terminals such as PCs, smartphones, ATM, and even large devices such as train systems). The server has high-speed CPU operation capability, long-time reliable operation, strong I/O external data throughput capability and better expansibility.
Servers can be divided into general-purpose servers and special-purpose servers according to purposes. The general-purpose server is a server which is not specially designed for a specific service and can provide various service functions, and most of the current servers are general-purpose servers. A dedicated (or "functional") server is a server specifically designed for a certain function or functions. In some respects, unlike a general-purpose server. Such as a storage server, which is a server that can 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 it, and has different performance requirements than a general-purpose server, and special requirements for storage space.
Currently, because of the limitation of the total number of hard disks directly output by a CPU, a large number of high-capacity mechanical hard disks are expanded by using an SAS Expander in a storage server, so that mass storage is realized. However, once the hard disk is damaged, data recovery is required, and data loss may be caused when the hard disk is severe. Therefore, how to perform fault early warning and reliability evaluation on the enterprise-level hard disk, and further provide effective guidance for storage operation maintenance of enterprises, and prevent data from being damaged or lost is very significant.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an out-of-band hard disk failure prediction system, an out-of-band hard disk failure prediction method, an out-of-band hard disk failure prediction device and a readable storage medium, which acquire SMART information of a hard disk in an out-of-band mode based on an SAS Expander and realize hard disk failure prediction and early warning.
The invention aims to achieve the aim, and the aim is achieved by the following technical scheme: 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.
Further, the preset access mode includes: ipmitool, redfish and a web interface.
Further, the BMC is in data connection with the expansion card through an I2C bus, and the expansion card is in data connection with the hard disk backboard through a SATA interface.
Further, 12 hard disks are connected to the hard disk back plate, and SMART data of each hard disk includes no more than 30 groups of attributes and corresponding attribute values.
Correspondingly, the invention also discloses a method for predicting the out-of-band hard disk faults, which comprises the following steps: 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.
Further, after receiving the request, the expansion card sequentially polls original SMART data of all hard disks, and feeds back the SMART data after data aggregation to the BMC, including: 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.
Further, the BMC cooperates with the PC end to perform hard disk fault prediction processing according to SMART data, and performs data feedback through a preset transmission mode, and the method comprises the following steps: 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.
Further, the BMC cooperates with the PC end to perform hard disk fault prediction processing according to SMART data, and performs data feedback through a preset transmission mode, and the method comprises the following steps:
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.
Correspondingly, the invention discloses an out-of-band hard disk fault prediction device, which comprises:
the memory is used for storing out-of-band hard disk fault prediction programs;
and the processor is used for realizing the steps of the out-of-band hard disk fault prediction method when executing the out-of-band hard disk fault prediction program.
Correspondingly, the invention discloses a readable storage medium, wherein an out-of-band hard disk fault prediction program is stored on the readable storage medium, and the out-of-band hard disk fault prediction program realizes the steps of the out-of-band hard disk fault prediction method according to any one of the above steps when being executed by a processor.
Compared with the prior art, the invention has the beneficial effects that: the invention discloses an out-of-band hard disk failure prediction system, a method, a device and a readable storage medium, which adopt a SAS Expander-based method to acquire SMART information of a hard disk in an out-of-band mode, do not need to install software under a system OS, can realize hard disk failure prediction and early warning under the condition that a system user does not feel, and are convenient for the realization of centralized management of server hard disk failure prediction and monitoring.
It can be seen that the present invention has outstanding substantial features and significant advances over the prior art, as well as the benefits of its implementation.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system configuration diagram of an embodiment of the present invention.
Fig. 2 is a flow chart of a method of an embodiment of the present invention.
FIG. 3 is a schematic flow chart of an embodiment of the present invention.
Detailed Description
The core of the invention is to provide a method for predicting out-of-band hard disk faults, wherein in the prior art, because the total number of hard disks which are directly output by a CPU is limited, a large number of high-capacity mechanical hard disks are expanded by using an SAS Expander in a storage server, so that mass storage is realized. However, once the hard disk is damaged, data recovery is required, and data loss may be caused when the hard disk is serious, and fault early warning and reliability evaluation on the enterprise-level hard disk cannot be realized in the prior art.
In the out-of-band hard disk failure prediction method provided by the invention, firstly, the BMC sends an information acquisition request to the expansion card. And then, after receiving the request, the expansion card sequentially polls the original SMART data of all the hard disks, and feeds back the SMART data after data aggregation to the BMC. Finally, the BMC is matched with the PC end to conduct hard disk fault prediction processing according to SMART data, and data feedback is conducted through a preset transmission mode. Therefore, the invention acquires the SMART information of the hard disk in an out-of-band mode based on the SAS Expander, and realizes the prediction and early warning of the hard disk faults.
In order to better understand the aspects of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and detailed description. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
as shown in fig. 1, the present embodiment provides an out-of-band hard disk failure prediction system, including: 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.
The preset access mode comprises the following steps: ipmitool, redfish and a web interface.
As an example, the BMC is in data connection with the expansion card through the I2C bus, and the expansion card is in data connection with the hard disk back plate through the SATA interface. The hard disk backboard is connected with 12 hard disks, and the SMART data of each hard disk comprises no more than 30 groups of attributes and corresponding attribute values.
It should be specifically noted that in the system, the PC side accesses the BMC remotely through a network, and obtains the original SMART data of the hard disk and the fault early warning data processed by the BMC, where the access mode may be ipmitool, redfish or a web interface. The client can directly use the hard disk fault early warning information (numerical information for identifying the health state) of the BMC, or perform self-defined fault early warning processing through original SMART data. The BMC accesses an expansion card (Expander) through an I2C bus, and acquires original SMART data of the hard disk from the Expander in a polling mode. Specifically, the SMART data of each hard disk is sequentially polled, and the SMART data of each hard disk is composed of no more than 30 groups of attributes and attribute values according to specifications. The Expander reads the original SMART Data and SMART Threshold Data of the hard disk through the SATA interface, wherein the Data are necessary for hard disk fault prediction. The Expander, upon polling by the BMC, feeds back the data to the BMC according to the interaction specification.
The embodiment provides an out-of-band hard disk failure prediction system, which acquires SMART information of a hard disk in an out-of-band mode based on an SAS Expander, does not need to install software under a system OS, can realize hard disk failure prediction and early warning under the condition that a system user does not feel, and is convenient for the realization of centralized management of server hard disk failure prediction and monitoring.
Embodiment two:
based on the first embodiment, as shown in fig. 2, the invention also discloses a method for predicting out-of-band hard disk faults, which comprises the following steps:
s1: the BMC sends an information acquisition request to the expansion card.
S2: and after receiving the request, the expansion card sequentially polls the original SMART data of all the hard disks, and feeds back the SMART data after data aggregation to the BMC.
Specifically, after receiving the request, the expansion card sequentially polls the original SMART data of all the hard disks, gathers the original SMART data in the original data table of the hard disks, and sends the original data table of the hard disks to the BMC. The hard disk original data table comprises hard disk ID information and corresponding SMARTID information.
S3: 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.
In this step, the hard disk failure prediction process may employ the following two methods:
1. 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.
2. 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.
Embodiment III:
based on the above embodiment, as shown in fig. 3, this embodiment also discloses a method for predicting out-of-band hard disk failure, including a BMC portion and an Expander portion.
The BMC part is used as a master end of the I2C, and acquires original SMART data of the hard disk from the Expander. And polling for a plurality of times by adopting a polling mode, wherein the polling is performed on the SMART data of one or more hard disks each time until all the SMART data of all the hard disks are returned. After the BMC acquires the SMART data, hard disk fault prediction processing can be performed at the BMC end, and the processed data is sent to the client; and the SMART original data can also be directly sent to the client, and the client customized hard disk fault prediction processing is realized. The BMC port may communicate such data to the client in a variety of ways, such as ipmitool, redfish or the web.
The Expander section will poll the SMART information of all hard disks in turn using the SATA interface and aggregate this information. As shown in Table 1, which is an example of hard disk raw SMART data obtained by Expander, the title of the table is described in SMART Specification SFF 8035-R2. The summarized data is packaged in units of (hard disk ID, SMART ID), that is, one piece of data stores only one piece of SMART attribute information of one hard disk, corresponding to one row of data in the table. The Expander is used as a slave end of the I2C of the BMC, and feeds back SMART information of the hard disk to the BMC when the BMC sends a request.
TABLE 1 SMART Primary data Table for Single hard disk
Figure BDA0003989287530000071
Figure BDA0003989287530000081
The embodiment provides an out-of-band hard disk failure prediction method, which adopts a mode of acquiring SMART information of a hard disk in an out-of-band manner based on an SAS Expander, does not need to install software under a system OS, can realize hard disk failure prediction and early warning under the condition that a system user does not feel, and is convenient for the realization of centralized management of server hard disk failure prediction and monitoring.
Embodiment four:
the embodiment discloses an out-of-band hard disk fault prediction device, which comprises a processor and a memory; the processor executes the out-of-band hard disk fault prediction program stored in the memory to realize the following steps:
1. the BMC sends an information acquisition request to the expansion card. .
2. And after receiving the request, the expansion card sequentially polls the original SMART data of all the hard disks, and feeds back the SMART data after data aggregation to the BMC.
3. 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.
Further, the out-of-band hard disk failure prediction apparatus in this embodiment may further include:
the input interface is used for acquiring an external imported out-of-band hard disk fault prediction program, storing the acquired out-of-band hard disk fault prediction program into the memory, and acquiring various instructions and parameters transmitted by external terminal equipment and transmitting the various instructions and parameters into the processor so that the processor can develop corresponding processing by utilizing the various instructions and parameters. In this embodiment, the input interface may 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, and the like.
And the output interface is used for outputting various data generated by the processor to the terminal equipment connected with the output interface so that other terminal equipment connected with the output interface can acquire 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, and the like.
And the communication unit is used for establishing 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 a wireless communication technology or a wired communication technology.
And the keyboard is used for acquiring various parameter data or instructions input by a user by knocking the key cap in real time.
And the display is used for running the related information of the short-circuit positioning process of the power supply line of the server to display in real time.
A mouse may be used to assist a user in inputting data and to simplify user operations.
Fifth embodiment:
the present embodiment also discloses a readable storage medium, where the readable storage medium includes Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. The readable storage medium stores an out-of-band hard disk failure prediction program, which when executed by a processor, performs the steps of:
1. the BMC sends an information acquisition request to the expansion card.
2. And after receiving the request, the expansion card sequentially polls the original SMART data of all the hard disks, and feeds back the SMART data after data aggregation to the BMC.
3. 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.
In summary, the invention acquires the SMART information of the hard disk in an out-of-band mode based on the SAS Expander, and realizes the prediction and early warning of the hard disk faults.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. 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 points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems, and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, system or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of 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 the embodiments of the present invention may be integrated in one processing unit, or each module may exist alone physically, or two or more modules may be integrated in one unit.
Similarly, each processing unit in the embodiments of the present invention may be integrated in one functional module, or each processing unit may exist physically, or two or more processing units may be integrated in one functional module.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The out-of-band hard disk fault prediction method, the out-of-band hard disk fault prediction system, the out-of-band hard disk fault prediction device and the readable storage medium provided by the invention are described in detail above. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.

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.
CN202211574304.XA 2022-12-08 2022-12-08 Out-of-band hard disk fault prediction system, method and device and readable storage medium Pending CN116166495A (en)

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