CN115733771B - Storage module detection method, device, equipment and storage medium - Google Patents
Storage module detection method, device, equipment and storage medium Download PDFInfo
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Abstract
The application provides a storage module detection method, a device, equipment and a storage medium, wherein the method comprises the following steps: responding to the storage module detection request, and acquiring a target device cluster corresponding to the storage module detection request; driving each cluster device in the target device cluster and the corresponding distributed storage module of the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module; positioning an abnormal storage module and associated abnormal cluster equipment according to the detection feedback information and the storage type of the distributed storage module; and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree. The abnormal storage module and the abnormal cluster equipment in the equipment cluster are rapidly positioned, the equipment detection results of the abnormal storage module and the abnormal cluster equipment are accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.
Description
Technical Field
The application relates to the technical field of the internet of things, in particular to a storage module detection method, a storage module detection device, storage module detection equipment and storage media.
Background
Currently, with the development of digital technology, many enterprises need to perform various services by deploying various service systems. Various subsystems exist under the existing financial system, a plurality of entity servers or virtual servers are built to form a server cluster to operate together to execute various functions of the subsystems, the back-end servers depend on various storage devices as storage media of data files, however, under the scenes of large-scale edition release, online application, machine room shutdown maintenance and the like of the subsystems, whether connection conditions between the servers and the storage media are healthy or not is caused due to lack of effective heartbeat mechanisms, and if an individual server is in a condition of having a problem with access between the servers, such potential problems directly lead to program running errors and cause abnormal problems.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for detecting a storage module, which aim to solve the technical problem that the connection condition of the storage module in a service system cannot be checked effectively and rapidly in the prior art.
In one aspect, an embodiment of the present application provides a method for detecting a storage module, where the method for detecting a storage module includes the following steps:
Responding to a storage module detection request, and acquiring a target device cluster corresponding to the storage module detection request;
driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;
positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;
and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree.
In one possible implementation manner of the present application, the positioning the abnormal storage module and the associated abnormal cluster device in the target device cluster according to the detection feedback information and the storage type of the distributed storage module includes:
Acquiring a storage type of the distributed storage module and a device type of cluster devices corresponding to the distributed storage module, and generating a cluster state image of the target cluster according to the storage type, the device type and the detection feedback information;
Inputting the cluster state image into a preset storage detection model for feature extraction to obtain cluster state features of the cluster state image;
and positioning the abnormal storage module and the abnormal cluster equipment corresponding to the abnormal storage module according to the cluster state characteristics.
In one possible implementation manner of the present application, the determining, according to the storage connection characteristic, a storage connection state of the distributed storage module and the abnormal cluster device includes:
inputting the cluster state characteristics into a full connection layer in the storage detection model to perform characteristic classification processing to obtain storage connection characteristics in the cluster state characteristics;
Calculating the feature similarity of the stored connection feature and a preset disconnection feature, and comparing the feature similarity with a preset disconnection threshold;
And acquiring an abnormal storage module and abnormal cluster equipment corresponding to the storage connection characteristics with the characteristic similarity larger than the preset disconnection threshold value.
In one possible implementation manner of the present application, the positioning the abnormal storage module and the associated abnormal cluster device in the target device cluster according to the detection feedback information and the storage type of the distributed storage module includes:
Acquiring a preset detection verification code and a preset feedback time threshold;
Acquiring a detection check code of a preset target field in the detection feedback information and detection feedback time corresponding to the detection feedback information;
if the detection check code is not matched with the detection check code and/or the detection feedback time is greater than the feedback time threshold, setting a distributed storage module corresponding to the detection feedback information as an abnormal storage module, and setting cluster equipment corresponding to the abnormal storage module as abnormal cluster equipment.
In one possible implementation manner of the present application, the calculating the storage connection health degree of the abnormal storage module and the abnormal cluster device, and outputting the device detection result corresponding to the storage connection health degree, includes:
Acquiring feedback characteristic parameters in the detection feedback information and characteristic weights of the feedback characteristic parameters;
Inputting the feedback characteristic parameters into a preset health degree model for health degree calculation to obtain the characteristic health degree of the feedback characteristic parameters;
And carrying out weighted summation on the characteristic health degrees according to the characteristic weights to obtain the storage connection health degrees of the abnormal storage module and the abnormal cluster equipment, and outputting the equipment detection results corresponding to the storage connection health degrees.
In one possible implementation manner of the present application, the outputting the device detection result corresponding to the storage connection health degree includes:
acquiring a preset health degree detection interval and a health detection threshold value of the health degree detection interval;
if the stored connection health degree does not exceed the health detection threshold, setting the connection health grade corresponding to the health degree detection interval as an abnormal connection grade of the stored connection health degree;
And acquiring a device detection result corresponding to the abnormal connection level, and outputting the device detection result.
In one possible implementation manner of the present application, the responding to a storage module detection request, and obtaining a target device cluster corresponding to the storage module detection request, includes:
acquiring equipment dimension parameters in the storage module detection request, wherein the equipment dimension parameters comprise at least one of equipment identification, application identification, machine room dimension identification and equipment sub-environment identification;
inputting the equipment dimension parameters into a preset equipment database for inquiring to obtain cluster equipment corresponding to the equipment dimension parameters;
And summarizing the abnormal cluster equipment to generate a target equipment cluster corresponding to the storage module detection request.
In another aspect, the present application provides a storage module detection apparatus, including:
the cluster acquisition module is configured to respond to the storage module detection request and acquire a target device cluster corresponding to the storage module detection request;
the detection interaction module is configured to drive each cluster device in the target device cluster to carry out connection detection interaction with the distributed storage module corresponding to the cluster device, so as to obtain detection feedback information of the distributed storage module;
the abnormality locating module is configured to locate an abnormality storage module and associated abnormality cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;
The connection analysis module is configured to calculate the storage connection health degree of the abnormal storage module and the abnormal cluster equipment and output an equipment detection result corresponding to the storage connection health degree.
In another aspect, the present application further provides a storage module detection apparatus, including:
one or more processors;
A memory; and
One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the memory module detection method.
In another aspect, the present application also provides a computer readable storage medium having stored thereon a computer program, the computer program being loaded by a processor to perform the steps of the storage module detection method.
According to the method, a target equipment cluster corresponding to a storage module detection request is obtained by responding to the storage module detection request; driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module; positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module; and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree. The abnormal storage module and the abnormal cluster equipment in the equipment cluster are rapidly positioned, the equipment detection results of the abnormal storage module and the abnormal cluster equipment are accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a detection method of a storage module according to an embodiment of the present application;
FIG. 2 is a flow chart of an embodiment of a method for detecting a memory module according to an embodiment of the application;
FIG. 3 is a flowchart illustrating an embodiment of locating an abnormal memory module in a memory module detection method according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating an embodiment of determining a device detection result in the storage module detection method according to the embodiment of the present application;
FIG. 5 is a schematic diagram illustrating a structure of an embodiment of a memory module detecting device according to an embodiment of the present application;
Fig. 6 is a schematic structural diagram of an embodiment of a memory module detection device according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the present application, the term "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described as "exemplary" in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
Currently, with the development of digital technology, many enterprises need to perform various services by deploying various service systems. Various subsystems exist under the existing financial system, a plurality of entity servers or virtual servers are built to form a server cluster to operate together to execute various functions of the subsystems, the back-end servers depend on various storage devices as storage media of data files, however, under the scenes of large-scale edition release, online application, machine room shutdown maintenance and the like of the subsystems, whether connection conditions between the servers and the storage media are healthy or not is caused due to lack of effective heartbeat mechanisms, and if an individual server is in a condition of having a problem with access between the servers, such potential problems directly lead to program running errors and cause abnormal problems.
Based on the above, the application provides a method, a device, equipment and a computer readable storage medium for detecting a storage module, so as to solve the technical problem that the prior art cannot quickly and accurately check the connection condition of the storage module in a service system.
The storage module detection method in the embodiment of the invention is applied to a storage module detection device, the storage module detection device is arranged in storage module detection equipment, one or more processors, a memory and one or more application programs are arranged in the storage module detection equipment, wherein the one or more application programs are stored in the memory and are configured to be executed by the processors to implement the storage module detection method; the storage module detection equipment can be an intelligent terminal, such as a mobile phone, a tablet computer, an intelligent television, network equipment, an intelligent computer and the like; optionally, the storage module detecting device may also be one device, or a service cluster formed by multiple devices.
As shown in fig. 1, fig. 1 is a schematic view of a scenario of a storage module detection method according to an embodiment of the present application, where the storage module detection scenario includes a storage module detection device 100 (a storage module detection apparatus is integrated in the storage module detection device 100), a plurality of cluster devices 200, and a storage module 300 connected to the cluster devices in data, and a computer readable storage medium corresponding to the storage module detection method is run in the storage module detection device 100 to execute steps of the storage module detection method. The cluster device 200 may be a virtual server or an entity server, and the distributed storage module 300 is a distributed storage module such as Ceph or Sftp.
It should be understood that the storage module detecting device in the scenario of the storage module detecting method shown in fig. 1, or the apparatus included in the storage module detecting device, is not limited to the embodiment of the present invention, that is, the number of devices and the type of devices included in the scenario of the storage module detecting method, or the number of apparatuses and the type of apparatuses included in each device do not affect the overall implementation of the technical solution in the embodiment of the present invention, and may be calculated as equivalent replacement or derivative of the technical solution claimed in the embodiment of the present invention.
The storage module detection device 100 in the embodiment of the present invention is mainly used for: responding to a storage module detection request, and acquiring a target device cluster corresponding to the storage module detection request; driving each cluster device in the target device cluster to perform detection interaction to an associated distributed storage module, and generating detection feedback information; positioning a target storage module in the target equipment cluster and target cluster equipment associated with the target storage module according to the storage load data and the interaction record data in the detection feedback information; and acquiring a candidate storage module associated with the target storage module, and driving the target cluster equipment to perform data interaction with the candidate storage module to obtain a storage module detection result.
The storage module detection device 100 in the embodiment of the present invention may be an independent storage module detection device, for example, an intelligent terminal such as a mobile phone, a tablet computer, an intelligent television, a network device, a device, and an intelligent computer, or may be a storage module detection network or a storage module detection cluster formed by a plurality of storage module detection devices.
The embodiment of the application provides a storage module detection method, a storage module detection device, storage module detection equipment and a computer readable storage medium, and the method, the device and the equipment are respectively described in detail below.
It will be understood by those skilled in the art that the application environment shown in fig. 1 is only one application scenario related to the present disclosure, and is not limited to the application scenario of the present disclosure, and other application environments may further include more or fewer storage module detection devices than those shown in fig. 1, or a storage module detection network connection relationship, for example, only one storage module detection device is shown in fig. 1, and it is understood that the scenario of the storage module detection method may further include one or more storage module detection devices, which is not limited herein; the storage module detection device 100 may also include a memory for storing cluster device information and other data.
It should be noted that, the schematic view of the scenario of the storage module detection method shown in fig. 1 is only an example, and the scenario of the storage module detection method described in the embodiment of the present invention is for more clearly describing the technical solution of the embodiment of the present invention, and does not constitute a limitation to the technical solution provided by the embodiment of the present invention.
Based on the above-mentioned scenario of the storage module detection method, various embodiments of the storage module detection method disclosed in the present invention are provided.
As shown in fig. 2, fig. 2 is a flowchart of one embodiment of a method for detecting a storage module according to an embodiment of the present application, where the method for detecting a storage module includes steps 201 to 204 as follows:
201. Responding to a storage module detection request, and acquiring a target device cluster corresponding to the storage module detection request;
The storage module detection method in this embodiment is applied to a storage module detection device, and the type and number of the storage module detection devices are not specifically limited, that is, the storage module detection device may be one or more intelligent terminals or devices, and in a specific embodiment, the storage module detection device is an intelligent computer.
The storage module detection device is configured to determine a target device cluster to be diagnosed according to the multidimensional device information, and perform fault diagnosis on cluster devices in the target device cluster and storage modules connected with the cluster devices, so as to obtain a storage module detection result of the target device cluster. The cluster device can be a server or other intelligent devices for supporting the operation of a service system; the storage module is a distributed storage device such as Ceph or Sftp which is in communication connection with the designated cluster device.
Specifically, the storage module detection device receives a storage module detection request in the operation process. The storage module detection request is an operation instruction for requesting the storage module detection device to perform fault diagnosis on the cluster device and the storage module in the target cluster. The triggering mode of the storage module detection request is not particularly limited, that is, the storage module detection request can be actively triggered by a user, for example, the user is an operation and maintenance person, the device information of the target device cluster to be detected is input into the storage module detection device, and the storage module detection request is actively triggered; in addition, the storage module detection request can be automatically triggered by the storage module detection device, for example, the storage module detection device sets a timing cluster diagnosis process in advance, and the storage module detection request for performing fault diagnosis on the target device cluster is automatically triggered in a preset time period.
Specifically, after the storage module detection device acquires the storage module detection request, acquiring device information carried in the device fault diagnosis request, where the device information is a query instruction of the multi-dimensional determination target device, and optionally, the device information at least includes at least one or more of an application identifier, device environment information, device room information and a storage space identifier.
After the cluster fault competing device acquires the device information, accessing a preset content management database, inputting information such as application identification, device environment information, device room information, storage space identification and the like carried by the device information, and inquiring the cluster devices associated with the device information in the content management database, so as to obtain a target device cluster associated with the device information in the content management database.
202. Driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;
After the storage module detection equipment acquires the target equipment cluster corresponding to the equipment fault diagnosis request, the storage module detection equipment drives the distributed storage modules associated with all cluster equipment in the target equipment cluster to carry out detection interaction, and detection feedback information is generated.
Specifically, the storage module detection device sends a device fault detection instruction to each cluster device in each target device cluster, and drives the cluster device to perform detection interaction to the associated distributed storage module. And driving the cluster equipment to send equipment detection instructions to the associated distributed storage modules, so as to carry out detection interaction on the distributed storage modules.
Specifically, the storage module detection device acquires storage feedback information returned by the distributed storage module according to the detection interaction and device feedback information of the cluster device, gathers the storage feedback information and the device feedback information to generate detection feedback information of the cluster device and the distributed storage module, and performs fault diagnosis on the cluster device and the distributed storage module through the detection feedback information. Optionally, the detection feedback information includes a detection check code, a detection feedback time and other feedback characteristic parameters for representing the connection state of the device.
203. Positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;
After the detection feedback information of the distributed storage modules is obtained, the storage module detection equipment locates the abnormal storage modules in the target equipment cluster and the abnormal cluster equipment associated with the abnormal storage modules according to the detection feedback information.
Specifically, the storage module detection device acquires a storage type of each distributed storage module in the target device cluster and a device type of the cluster device corresponding to the distributed storage module. Generating a cluster state image of the target equipment cluster according to the storage type, the equipment type and the detection feedback information, and inputting the cluster state image into a preset storage detection model for encoding, so as to obtain cluster state characteristics of the target equipment cluster.
Specifically, the storage module detects equipment to analyze the equipment feedback information, acquires equipment types of all cluster equipment, generates equipment nodes corresponding to the equipment types, and inputs the equipment feedback information and the equipment nodes in an associated mode into a preset cluster image template, so that a cluster state image is generated. The cluster state image is a node connection image representing the operation connection relation of each cluster device in the device cluster. The connection relation is used for representing that interactive communication operation can be carried out among all the cluster devices, the cluster devices and the storage module detection devices. Alternatively, the cluster-state image can also be presented in a contiguous matrix.
After the cluster state image is generated, the storage module detection equipment inputs the cluster state image into a preset storage detection model for feature extraction, so that cluster state features corresponding to the cluster state image are obtained. The storage detection model may be a feature extraction model, the storage module detection device inputs the cluster state image into the storage detection model, and feature extraction is performed on the adjacent matrix in the cluster state image through the storage detection model, so as to obtain cluster state features of the cluster state image.
After the storage module detection equipment acquires the cluster state characteristics of each cluster device and the distributed storage module in the cluster state image, the abnormal storage module and the abnormal cluster device corresponding to the abnormal storage module are positioned according to the cluster state characteristics.
Specifically, the storage module detection equipment inputs the cluster state characteristics into a full-connection layer in the storage detection model to perform characteristic classification processing to obtain storage connection characteristics of each cluster equipment and the distribution storage module in the cluster state characteristics;
After the storage module detection device acquires the storage connection characteristics of each cluster device and the distributed storage module in the cluster state characteristics, the storage module detection device also acquires preset disconnection characteristics, wherein the preset disconnection characteristics are characteristic parameters representing abnormal connection between the cluster device and the distributed storage module. The storage module detection equipment calculates the feature similarity of the storage connection feature and the preset disconnection feature, and compares the feature similarity with a preset disconnection threshold;
Optionally, if the feature similarity is greater than the preset similarity, the storage module detection device determines that the storage connection feature with the feature similarity greater than the preset disconnection threshold is an abnormal connection feature, and sets a distributed storage module and cluster device corresponding to the abnormal connection feature as an abnormal storage module and an abnormal cluster device.
Optionally, the storage module detection device can also locate the abnormal storage module and the abnormal cluster device by acquiring the detection check code and the detection feedback time in the detection feedback information.
204. And calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree.
After the storage module detection device locates each abnormal storage module and the abnormal cluster device in the target device cluster, the storage module detection device also calculates the storage connection health degree between the abnormal storage module and the abnormal cluster device, and outputs a device detection result corresponding to the storage connection health degree.
Specifically, the storage module detection device acquires detection feedback information of the abnormal storage module and the abnormal cluster device, and acquires feedback characteristic parameters in the detection feedback information. After the storage module detection equipment acquires the feedback characteristic parameters in the detection feedback information, the storage module detection equipment also accesses a preset weight database to acquire the characteristic weights corresponding to the feedback characteristic parameters in the weight database.
After the storage module detection equipment acquires the feedback characteristic parameters and the corresponding characteristic weights of the detection feedback information, inputting the feedback characteristic parameters into a preset health degree module for health degree calculation to obtain the characteristic health degrees of the feedback characteristic parameters, weighting the characteristic health degrees through the characteristic weights, acquiring the sum of each weighted characteristic health degree, and generating the storage connection health degree between the abnormal storage module and the abnormal cluster equipment.
After the storage connection health degree is obtained, the storage module detection device also obtains a device detection result corresponding to the storage connection health degree, wherein the device detection result is prompt information representing the abnormal state degree of the connection state between the abnormal storage module and the abnormal cluster device.
After the device detection results of the abnormal storage module and the abnormal cluster device are obtained, the storage module detection device outputs the device detection results in a preset display area.
In this embodiment, a storage module detection device obtains a target device cluster corresponding to a storage module detection request by responding to the storage module detection request; driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;
Positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module; and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree. The abnormal storage module and the abnormal cluster equipment in the equipment cluster are rapidly positioned, the equipment detection results of the abnormal storage module and the abnormal cluster equipment are accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.
As shown in fig. 3, fig. 3 is a schematic flow chart of one embodiment of locating an abnormal memory module in the memory module detection method according to the embodiment of the present application, specifically, the method includes steps 301 to 303:
301. Acquiring a preset detection verification code and a preset feedback time threshold;
302. Acquiring a detection check code of a preset target field in the detection feedback information and detection feedback time corresponding to the detection feedback information;
303. If the detection check code is not matched with the detection check code and/or the detection feedback time is greater than the feedback time threshold, setting a distributed storage module corresponding to the detection feedback information as an abnormal storage module, and setting cluster equipment corresponding to the abnormal storage module as abnormal cluster equipment.
Based on the above embodiment, in this embodiment, the storage module detecting device sets in advance a detection verification code and a feedback time threshold for detecting the device connection state. After the detection feedback information of the cluster equipment and the corresponding distributed storage equipment is obtained, the storage module detection equipment locates the abnormal storage module and the abnormal cluster equipment by obtaining the detection check code and the detection feedback time in the detection feedback information.
Specifically, the storage module detection device acquires a detection check code of a preset target field in the detection feedback information and a detection feedback time of the detection feedback information. The storage module detection equipment performs matching through detecting the check code and detecting the check code to obtain a check matching result. And the storage module detection equipment also compares the detection feedback time with a feedback time threshold value to obtain a time comparison result, thereby determining the equipment connection state of the distributed storage modules and the cluster equipment.
Optionally, if the detection check code is the same as the detection check code and the detection feedback time is less than the feedback time threshold, the storage module detection device determines that the detection matching result is successful, and the time comparison result is that the feedback is not overtime, and the storage module detection device determines that the device connection state of the distributed storage module and the cluster device is a normal connection state.
Optionally, if the detection check code and the detection check code are different or the detection feedback time is greater than the feedback time threshold, the storage module detection device determines that the detection matching result is a matching failure or the time comparison result is that feedback has timed out, the storage module detection device determines that the device connection state of the distributed storage module and the cluster device is an abnormal connection state, and the storage module detection device marks the distributed storage module in the abnormal connection state as an abnormal storage module and marks the cluster device corresponding to the abnormal storage module as an abnormal cluster device.
After the storage module detection device locates each abnormal storage module and the abnormal cluster device in the target device cluster, the storage module detection device also calculates the storage connection health degree between the abnormal storage module and the abnormal cluster device, and outputs a device detection result corresponding to the storage connection health degree.
In this embodiment, the storage module detecting device obtains a preset detection verification code and a preset feedback time threshold; acquiring a detection check code of a preset target field in the detection feedback information and detection feedback time corresponding to the detection feedback information; if the detection check code is not matched with the detection check code and/or the detection feedback time is greater than the feedback time threshold, setting a distributed storage module corresponding to the detection feedback information as an abnormal storage module, and setting cluster equipment corresponding to the abnormal storage module as abnormal cluster equipment. And the abnormal cluster equipment and the abnormal storage module in the target equipment cluster are rapidly positioned.
As shown in fig. 4, fig. 4 is a schematic flow chart of an embodiment of determining a device detection result in the storage module detection method according to the embodiment of the present application, specifically, the method includes steps 401 to 403:
401. Acquiring a preset health degree detection interval and a health detection threshold value of the health degree detection interval;
402. if the stored connection health degree does not exceed the health detection threshold, setting the connection health grade corresponding to the health degree detection interval as an abnormal connection grade of the stored connection health degree;
403. And acquiring a device detection result corresponding to the abnormal connection level, and outputting the device detection result.
Based on the above embodiment, in this embodiment, after the storage module detection device calculates the storage connection health degrees of the abnormal storage module and the abnormal cluster device, the device detection results of the abnormal storage module and the abnormal cluster device are further determined according to the storage connection health degrees.
Specifically, the storage module detection device establishes health detection intervals corresponding to different device evaluation states in advance. And different health detection thresholds are set for different health detection intervals. The health detection threshold value of each health detection interval comprises a first detection threshold value and a second detection threshold value, and the first detection threshold value is smaller than the second detection threshold value.
Specifically, the storage module detection device compares the storage connection health degrees of the abnormal storage module and the abnormal cluster device with health detection thresholds of all health detection intervals, so as to determine the health detection interval where the storage connection health degrees are located, and further determine the abnormal connection grade of the abnormal storage module and the abnormal cluster device.
Optionally, if the stored connection health degree is greater than a first detection threshold of a health degree detection interval and less than a second detection threshold of the health degree detection interval, determining that the stored connection health degree does not exceed the health detection threshold of the health degree detection interval, and setting the connection health level corresponding to the health degree detection interval as an abnormal connection level of the stored connection health degree. The abnormal connection level is a quantization level for representing the device connection states of the abnormal storage module and the abnormal cluster device. Optionally, in a specific application scenario, the abnormal connection class is classified into a normal abnormal class and an emergency abnormal class.
Specifically, the storage module detection device presets device detection results corresponding to different abnormal connection levels, obtains the device detection results corresponding to the abnormal connection levels after obtaining the abnormal connection levels of the abnormal storage module and the abnormal cluster device, and outputs the device detection results. The equipment evaluation result is a quantification result and maintenance suggestion information of the connection state of the abnormal storage module and the abnormal cluster equipment. In a specific embodiment, the abnormal connection level is an emergency abnormal level, the equipment evaluation result is that the health condition is poor, obvious or middle-late abnormal fault symptoms appear, and the equipment needs to be overhauled immediately.
In this embodiment, the storage module detecting device obtains a preset health detection interval and a health detection threshold of the health detection interval; if the stored connection health degree does not exceed the health detection threshold, setting the connection health grade corresponding to the health degree detection interval as an abnormal connection grade of the stored connection health degree; and acquiring a device detection result corresponding to the abnormal connection level, and outputting the device detection result. The device detection results of the abnormal storage module and the abnormal cluster device are accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.
In order to better implement the method for detecting a memory module according to the embodiment of the present application, based on the method for detecting a memory module, the embodiment of the present application further provides a device for detecting a memory module, as shown in fig. 5, and fig. 5 is a schematic structural diagram of an embodiment of the device for detecting a memory module according to the embodiment of the present application. The storage module detecting apparatus 500 includes:
A cluster obtaining module 501, configured to respond to a storage module detection request and obtain a target device cluster corresponding to the storage module detection request;
The detection interaction module 502 is configured to drive each cluster device in the target device cluster to perform connection detection interaction with a distributed storage module corresponding to the cluster device, so as to obtain detection feedback information of the distributed storage module;
an anomaly locating module 503 configured to locate an anomaly storage module and associated anomaly cluster devices in the target device cluster according to the detection feedback information and the storage type of the distributed storage module;
The connection analysis module 504 is configured to calculate the storage connection health degrees of the abnormal storage module and the abnormal cluster device, and output a device detection result corresponding to the storage connection health degrees.
In some embodiments of the present application, the storage module detecting device locates an abnormal storage module and an associated abnormal cluster device in the target device cluster according to the detection feedback information and the storage type of the distributed storage module, and includes:
Acquiring a storage type of the distributed storage module and a device type of cluster devices corresponding to the distributed storage module, and generating a cluster state image of the target cluster according to the storage type, the device type and the detection feedback information;
Inputting the cluster state image into a preset storage detection model for feature extraction to obtain cluster state features of the cluster state image;
and positioning the abnormal storage module and the abnormal cluster equipment corresponding to the abnormal storage module according to the cluster state characteristics.
In some embodiments of the present application, the storage module detecting device determining, according to the storage connection characteristic, a storage connection state of the distributed storage module and the abnormal cluster device includes:
inputting the cluster state characteristics into a full connection layer in the storage detection model to perform characteristic classification processing to obtain storage connection characteristics in the cluster state characteristics;
Calculating the feature similarity of the stored connection feature and a preset disconnection feature, and comparing the feature similarity with a preset disconnection threshold;
And acquiring an abnormal storage module and abnormal cluster equipment corresponding to the storage connection characteristics with the characteristic similarity larger than the preset disconnection threshold value.
In some embodiments of the present application, the storage module detecting device locates an abnormal storage module and an associated abnormal cluster device in the target device cluster according to the detection feedback information and the storage type of the distributed storage module, and includes:
Acquiring a preset detection verification code and a preset feedback time threshold;
Acquiring a detection check code of a preset target field in the detection feedback information and detection feedback time corresponding to the detection feedback information;
if the detection check code is not matched with the detection check code and/or the detection feedback time is greater than the feedback time threshold, setting a distributed storage module corresponding to the detection feedback information as an abnormal storage module, and setting cluster equipment corresponding to the abnormal storage module as abnormal cluster equipment.
In some embodiments of the present application, the storage module detecting device calculates a storage connection health degree of the abnormal storage module and the abnormal cluster device, and outputs a device detection result corresponding to the storage connection health degree, including:
Acquiring feedback characteristic parameters in the detection feedback information and characteristic weights of the feedback characteristic parameters;
Inputting the feedback characteristic parameters into a preset health degree model for health degree calculation to obtain the characteristic health degree of the feedback characteristic parameters;
And carrying out weighted summation on the characteristic health degrees according to the characteristic weights to obtain the storage connection health degrees of the abnormal storage module and the abnormal cluster equipment, and outputting the equipment detection results corresponding to the storage connection health degrees.
In some embodiments of the present application, the storage module detecting device outputs a device detection result corresponding to the storage connection health, including:
acquiring a preset health degree detection interval and a health detection threshold value of the health degree detection interval;
if the stored connection health degree does not exceed the health detection threshold, setting the connection health grade corresponding to the health degree detection interval as an abnormal connection grade of the stored connection health degree;
And acquiring a device detection result corresponding to the abnormal connection level, and outputting the device detection result.
In some embodiments of the present application, a storage module detection apparatus responds to a storage module detection request, and obtains a target device cluster corresponding to the storage module detection request, including:
acquiring equipment dimension parameters in the storage module detection request, wherein the equipment dimension parameters comprise at least one of equipment identification, application identification, machine room dimension identification and equipment sub-environment identification;
inputting the equipment dimension parameters into a preset equipment database for inquiring to obtain cluster equipment corresponding to the equipment dimension parameters;
And summarizing the abnormal cluster equipment to generate a target equipment cluster corresponding to the storage module detection request.
In this embodiment, the storage module detection device obtains a target device cluster corresponding to a storage module detection request by responding to the storage module detection request; driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;
Positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module; and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree. The abnormal storage module and the abnormal cluster equipment in the equipment cluster are rapidly positioned, the equipment detection results of the abnormal storage module and the abnormal cluster equipment are accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.
The embodiment of the application also provides a storage module detection device, as shown in fig. 6, and fig. 6 is a schematic structural diagram of an embodiment of the storage module detection device provided in the embodiment of the application.
The storage module detection device integrates any one of the storage module detection devices provided by the embodiment of the invention, and the storage module detection device comprises:
one or more processors;
A memory; and
One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to perform the steps of the memory module detection method described in any of the memory module detection method embodiments above.
Specifically, the present invention relates to a method for manufacturing a semiconductor device. The memory module detection device may include one or more processors 601 of a processing core, one or more memories 602 of a computer readable storage medium, a power supply 603, and an input unit 604, among other components. It will be appreciated by those skilled in the art that the memory module detection device structure shown in fig. 6 is not limiting of the memory module detection device and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components. Wherein:
The processor 601 is a control center of the memory module inspection apparatus, connects respective portions of the entire memory module inspection apparatus using various interfaces and lines, and performs various functions and processes of the memory module inspection apparatus by running or executing software programs and/or modules stored in the memory 602 and calling data stored in the memory 602, thereby performing overall monitoring of the memory module inspection apparatus. Optionally, the processor 601 may include one or more processing cores; preferably, the processor 601 may integrate an application processor and a modem processor, wherein the application processor primarily handles operating systems, user interfaces, applications, etc., and the modem processor primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 601.
The memory 602 may be used to store software programs and modules, and the processor 601 may execute various functional applications and data processing by executing the software programs and modules stored in the memory 602. The memory 602 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the storage module detection device, or the like. In addition, the memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 602 may also include a memory controller to provide access to the memory 602 by the processor 601.
The memory module detection device further includes a power supply 603 for supplying power to the respective components, and preferably, the power supply 603 may be logically connected to the processor 601 through a power management system, so that functions of managing charging, discharging, power consumption management, and the like are implemented through the power management system. The power supply 603 may also include one or more of any components, such as a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
The memory module detection device may also include an input unit 604, which input unit 604 may be used to receive entered numeric or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the storage module detecting apparatus may further include a display unit or the like, which is not described herein. In particular, in this embodiment, the processor 601 in the storage module detecting device loads executable files corresponding to the processes of one or more application programs into the memory 602 according to the following instructions, and the processor 601 executes the application programs stored in the memory 602, so as to implement various functions as follows:
Responding to a storage module detection request, and acquiring a target device cluster corresponding to the storage module detection request;
driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;
positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;
and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.
To this end, embodiments of the present invention provide a computer-readable storage medium, which may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like. On which a computer program is stored, which is loaded by a processor to perform the steps of any of the storage module detection methods provided by the embodiments of the present invention. For example, the loading of the computer program by the processor may perform the steps of:
Responding to a storage module detection request, and acquiring a target device cluster corresponding to the storage module detection request;
driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;
positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;
and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and the portions of one embodiment that are not described in detail in the foregoing embodiments may be referred to in the foregoing detailed description of other embodiments, which are not described herein again.
In the implementation, each unit or structure may be implemented as an independent entity, or may be implemented as the same entity or several entities in any combination, and the implementation of each unit or structure may be referred to the foregoing method embodiments and will not be repeated herein.
The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.
The foregoing describes in detail a method for detecting a memory module according to an embodiment of the present application, and specific examples are applied to illustrate the principles and embodiments of the present application, where the foregoing examples are only for helping to understand the method and core ideas of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, the present description should not be construed as limiting the present application.
Claims (8)
1. A memory module detection method, characterized in that the memory module detection method comprises:
Responding to a storage module detection request, and acquiring a target device cluster corresponding to the storage module detection request;
driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;
Acquiring a storage type of the distributed storage module and a device type of cluster devices corresponding to the distributed storage module, generating a cluster state image of the target device cluster according to the storage type, the device type and the detection feedback information, inputting the cluster state image into a preset storage detection model for feature extraction to obtain cluster state features of the cluster state image, positioning an abnormal storage module and abnormal cluster devices corresponding to the abnormal storage module according to the cluster state features, or acquiring a preset detection check code and a preset feedback time threshold value, acquiring a detection check code of a preset target field in the detection feedback information and detection feedback time corresponding to the detection feedback information, and setting the distributed storage module corresponding to the detection feedback information as an abnormal storage module and the cluster devices corresponding to the abnormal storage module as abnormal cluster devices if the detection check code and the detection check code are not matched and/or the detection feedback time is greater than the feedback time threshold value;
and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree.
2. The storage module detection method as claimed in claim 1, wherein said locating the abnormal storage module and the abnormal cluster device corresponding to the abnormal storage module according to the cluster state characteristics includes:
inputting the cluster state characteristics into a full connection layer in the storage detection model to perform characteristic classification processing to obtain storage connection characteristics in the cluster state characteristics;
Calculating the feature similarity of the stored connection feature and a preset disconnection feature, and comparing the feature similarity with a preset disconnection threshold;
And acquiring an abnormal storage module and abnormal cluster equipment corresponding to the storage connection characteristics with the characteristic similarity larger than the preset disconnection threshold value.
3. The method for detecting a storage module according to claim 1, wherein the calculating the storage connection health of the abnormal storage module and the abnormal cluster device and outputting the device detection result corresponding to the storage connection health includes:
Acquiring feedback characteristic parameters in the detection feedback information and characteristic weights of the feedback characteristic parameters;
Inputting the feedback characteristic parameters into a preset health degree model for health degree calculation to obtain the characteristic health degree of the feedback characteristic parameters;
And carrying out weighted summation on the characteristic health degrees according to the characteristic weights to obtain the storage connection health degrees of the abnormal storage module and the abnormal cluster equipment, and outputting the equipment detection results corresponding to the storage connection health degrees.
4. The method for detecting a storage module according to claim 3, wherein outputting the device detection result corresponding to the storage connection health comprises:
acquiring a preset health degree detection interval and a health detection threshold value of the health degree detection interval;
if the stored connection health degree does not exceed the health detection threshold, setting the connection health grade corresponding to the health degree detection interval as an abnormal connection grade of the stored connection health degree;
And acquiring a device detection result corresponding to the abnormal connection level, and outputting the device detection result.
5. The storage module detection method according to any one of claims 1 to 4, wherein, in response to a storage module detection request, obtaining a target device cluster corresponding to the storage module detection request includes:
acquiring equipment dimension parameters in the storage module detection request, wherein the equipment dimension parameters comprise at least one of equipment identification, application identification, machine room dimension identification and equipment sub-environment identification;
inputting the equipment dimension parameters into a preset equipment database for inquiring to obtain cluster equipment corresponding to the equipment dimension parameters;
And summarizing the abnormal cluster equipment to generate a target equipment cluster corresponding to the storage module detection request.
6. A memory module detection apparatus, characterized in that the memory module detection apparatus comprises:
the cluster acquisition module is configured to respond to the storage module detection request and acquire a target device cluster corresponding to the storage module detection request;
the detection interaction module is configured to drive each cluster device in the target device cluster to carry out connection detection interaction with the distributed storage module corresponding to the cluster device, so as to obtain detection feedback information of the distributed storage module;
The abnormal positioning module is configured to acquire a storage type of the distributed storage module and a device type of cluster devices corresponding to the distributed storage module, generate a cluster state image of the target device cluster according to the storage type, the device type and the detection feedback information, input the cluster state image into a preset storage detection model for feature extraction to obtain cluster state features of the cluster state image, position the abnormal storage module and abnormal cluster devices corresponding to the abnormal storage module according to the cluster state features, or acquire a preset detection check code and a preset feedback time threshold value, acquire a detection check code of a preset target field in the detection feedback information and detect feedback time corresponding to the detection feedback information, and set the distributed storage module corresponding to the detection feedback information as the abnormal cluster devices if the detection check code is not matched with the detection check code and/or the detection feedback time is greater than the feedback time threshold value;
The connection analysis module is configured to calculate the storage connection health degree of the abnormal storage module and the abnormal cluster equipment and output an equipment detection result corresponding to the storage connection health degree.
7. A memory module detection apparatus, characterized in that the memory module detection apparatus comprises:
one or more processors;
A memory; and
One or more applications, wherein the one or more applications are stored in the memory and are configured to be executed by the processor to implement the steps of the memory module detection method of any one of claims 1 to 5.
8. A computer-readable storage medium, having stored thereon a computer program, the computer program being loaded by a processor to perform the steps of the storage module detection method of any of claims 1 to 5.
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