CN109039714A - The management method and device of resource in cloud computing system - Google Patents

Abstract

The invention discloses a resource management method and device in a cloud computing system. The method includes: acquiring resource management information of each resource, wherein the resource management information includes resource identifiers and resource performance parameters; collecting the real-time status of performance parameters corresponding to each resource identifier according to a preset time strategy; The preset resource performance monitoring strategy judges whether the real-time status of the performance parameter corresponding to each resource identifier is in a healthy working state, and obtains a judgment result; according to the judgment result, the resource is managed.

Description

Resource management method and device in cloud computing system

technical field

The invention relates to the field of information processing, in particular to a resource management method and device in a cloud computing system.

Background technique

Cloud Computing (Cloud Computing) is the growth, use and delivery model of Internet-based related services, usually involving the provision of dynamically scalable and often virtualized resources through the Internet. Cloud is a metaphor for network, internet. In the past, the cloud was often used to represent the telecommunications network in the figure, and later it was also used to represent the abstraction of the Internet and the underlying infrastructure. Therefore, cloud computing can even allow you to experience the computing power of 10 trillion times per second. With such powerful computing power, you can simulate nuclear explosions, predict climate change and market development trends. Users access the data center through computers, notebooks, mobile phones, etc., and perform calculations according to their own needs.

The definition of cloud computing is widely accepted at this stage by the National Institute of Standards and Technology definition: Cloud computing is a pay-per-use model that provides available, convenient, and on-demand network access. Access to a shared pool of configurable computing resources, including networks, servers, storage, applications, and services, that can be provisioned quickly with little management effort or interaction with service providers . In the initial stage of data center construction, it is mainly to complete the construction of network, computing, and storage, build a unified resource management platform, and complete the unified management of resources and independent services; in the subsequent development process, users gradually pay attention to the actual use of resources, so that Better planning of resources and control over resource usage.

With the development of cloud computing, it is often necessary to manage multiple cloud resources in the cloud platform. However, various abnormalities will inevitably occur during the use of cloud resources. How to manage the health of multiple cloud resources has become a problem that needs to be solved. The problem. In the current cloud platform, the processing of cloud resource abnormalities often needs to be done manually, and when the number of cloud resources is relatively large, the processing efficiency will decrease, thereby reducing the availability of the cloud platform.

Contents of the invention

In order to solve the above technical problems, the present invention provides a resource management method and device in a cloud computing system to improve the efficiency of exception handling.

In order to achieve the object of the present invention, the present invention provides a resource management method in a cloud computing system, including:

Acquiring resource management information of each resource, where the resource management information includes resource identifiers and resource performance parameters;

Collect the real-time status of the performance parameters corresponding to each resource identifier according to the preset time strategy;

According to the preset resource performance monitoring strategy, judge whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state, and obtain the judgment result;

According to the judgment result, the resources are managed.

Wherein, the method also has the following characteristics: the method also includes:

receiving a management request for a resource performance monitoring policy, wherein the management request includes at least one operation of adding, modifying, deleting, opening and closing the performance monitoring policy;

The performance monitoring policy is processed according to the management request.

Wherein, the method also has the following characteristics: the judging whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state, and obtaining the judging result includes:

Judging whether the real-time state of the performance parameter corresponding to the resource identifier is a preset normal working state; and/or,

It is judged whether the real-time state of the performance parameter corresponding to the resource identifier is within a preset threshold range.

Wherein, the method also has the following characteristics: the management of the resource according to the judgment result includes:

When the judging result is that the resource is not in a healthy working state, an alarm message of resource abnormality is issued, and the alarm information is recorded.

Wherein, the method also has the following characteristics: when the result of the judgment is that it is not in a healthy working state, after sending out an alarm message of resource abnormality and recording the alarm information, the method further includes:

According to the alarm processing strategy corresponding to each performance information stored in advance, obtain the processing strategy corresponding to the abnormal performance information;

Process the resource by using the processing strategy to obtain a processing result;

If the processing result is successful, the alarm operation is stopped, and the record of the alarm information is deleted.

A resource management device in a cloud computing system, comprising:

An acquisition module, configured to acquire resource management information of each resource, wherein the resource management information includes resource identifiers and resource performance parameters;

The collection module is used to collect the real-time status of the performance parameters corresponding to each resource identifier according to the preset time strategy;

The judging module is used to judge whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state according to the preset resource performance monitoring strategy, and obtain the judgment result;

A management module, configured to manage the resource according to the judgment result.

Wherein, the device also has the following characteristics: the device also includes:

A receiving module, configured to receive a management request for a performance monitoring policy of a resource, wherein the management request includes at least one operation of adding, modifying, deleting, opening and closing the performance monitoring policy;

A processing module, configured to process the performance monitoring policy according to the management request.

Wherein, the device also has the following characteristics:

The judging module is specifically used to judge whether the real-time state of the performance parameter corresponding to the resource identifier is a preset normal working state; and/or judge whether the real-time state of the performance parameter corresponding to the resource identifier is in the preset within the threshold range.

Wherein, the device also has the following characteristics: the management module includes:

The alarm unit is configured to send out alarm information about resource abnormality and record the alarm information when the judging result is that the resource is not in a healthy working state.

Wherein, the device also has the following characteristics: the management module also includes:

An acquisition unit, configured to acquire a processing strategy corresponding to abnormal performance information according to a pre-stored alarm processing strategy corresponding to each performance information;

a processing unit, configured to use the processing policy to process the resource to obtain a processing result;

The output unit is configured to stop the alarm operation and delete the record of the alarm information if the processing result is successful.

In the embodiment provided by the present invention, by acquiring the resource management information of each resource, the real-time status of the performance parameter corresponding to each resource identifier is collected, and then the performance parameter corresponding to each resource identifier is judged according to the preset resource performance monitoring strategy Whether the real-time status is in a healthy working state, obtain the judgment result, and manage the resources according to the judgment result, realize the automatic processing of abnormal cloud resources, thereby reducing the adverse effects caused by abnormal cloud resources, Improve the availability of the cloud platform.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Description of drawings

The accompanying drawings are used to provide a further understanding of the technical solution of the present invention, and constitute a part of the description, and are used together with the embodiments of the application to explain the technical solution of the present invention, and do not constitute a limitation to the technical solution of the present invention.

Fig. 1 is the flow chart of the resource management method in the cloud computing system provided by the present invention;

Fig. 2 is a structural diagram of a cloud resource health management system based on a cloud platform provided by the present invention;

FIG. 3 is a structural diagram of a computer-readable storage medium provided by the present invention.

Detailed ways

In order to make the purpose, technical solution and advantages of the present invention more clear, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

The steps shown in the flowcharts of the figures may be performed in a computer system, such as a set of computer-executable instructions. Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

FIG. 1 is a flowchart of a resource management method in a cloud computing system provided by the present invention. The methods shown in Figure 1 include:

Step 101. Obtain resource management information of each resource, wherein the resource management information includes resource identifiers and resource performance parameters;

Specifically, the resource referred to in the present invention can be a running device, such as a host and a virtual machine, or a resource pool; for each type of resource, a corresponding data table is maintained, and each data table includes a resource identification id and performance parameters. For example, for a virtual machine resource, the resource identifier is a virtual machine id, and its performance parameters include at least one of a virtual machine power state, a virtual machine network state, a virtual machine CPU load state, and a virtual machine memory load.

Step 102, according to the preset time strategy, collect the real-time status of the performance parameters corresponding to each resource identifier;

Wherein, the time strategy is periodical or according to a user-defined time strategy, wherein, the user-defined time strategy can be set to have a higher collection frequency during peak operation periods than during low-peak operation periods.

Step 103, according to the preset resource performance monitoring strategy, judge whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state, and obtain the judgment result;

Specifically, since the resource health information can contain information on multiple performance parameters, each performance parameter can be judged one by one during the judgment operation process, and different judgment results can be obtained respectively.

Step 104: Manage the resource according to the judgment result.

Specifically, if the judgment results of the real-time status of the performance parameters corresponding to the resource ID are all in a healthy working state, then it is determined that the resource is working normally; if there are performance parameters that are not in a healthy working state in the judgment results , it is determined that the resource is working abnormally.

In the method embodiment provided by the present invention, by acquiring the resource management information of each resource, the real-time status of the performance parameters corresponding to each resource identifier is collected, and then the performance corresponding to each resource identifier is judged according to the preset resource performance monitoring strategy Whether the real-time status of the parameters is in a healthy working state, get the judgment result, and manage the resources according to the judgment result, realize automatic processing of abnormal cloud resources, thereby reducing the adverse effects caused by abnormal cloud resources , to improve the availability of the cloud platform.

The method embodiment provided by the present invention is described further below:

When performing the judgment operation, the real-time status of each performance parameter of the resource is compared with the information in the corresponding performance monitoring policy to judge whether the performance parameter is abnormal. In practical applications, in order to ensure that the performance monitoring strategy can more accurately match the actual situation and meet the individual requirements of users, in a method embodiment provided by the present invention, the method further includes:

receiving a management request for a resource performance monitoring policy, wherein the management request includes at least one operation of adding, modifying, deleting, opening and closing the performance monitoring policy;

The performance monitoring policy is processed according to the management request.

Specifically, when a performance information of the resource is added to the performance parameter information of the resource, correspondingly, it is necessary to establish a new policy by adding an operation in the performance monitoring policy to monitor the performance information ;

When it is detected that the existing performance monitoring strategy does not meet the current operating conditions, the existing performance monitoring strategy needs to be modified, and the existing performance monitoring strategy can be adjusted through the modification operation to better match the current operating condition;

When the performance information of a resource is deleted from the resource health information, correspondingly, the corresponding existing policy needs to be deleted through a delete operation in the performance monitoring policy.

When a resource corresponds to multiple performance monitoring strategies, in actual application, one can be enabled, and the other remaining performance monitoring strategies need to be turned off. Therefore, it is possible to control the existing performance monitoring strategies to be enabled or disabled. Therefore, you can pass Turn on or off the operation to achieve the above purpose.

Through the above method, it can be effectively ensured that the performance monitoring strategy can more accurately match the actual situation, and at the same time meet the personalized requirements of the user.

Among them, there are two cases of resource abnormality judgment value, one is the case of binary value, that is, there are only two values corresponding to cloud resource attributes, such as the power state of the virtual machine includes on and off; the other is the case of setting the threshold , such as the disk usage of the virtual machine.

In view of the above situation, in a method embodiment provided by the present invention, the judging whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state, and obtaining the judging result includes:

Judging whether the real-time status of the performance parameter corresponding to the resource identifier is a preset normal working status; and/or judging whether the real-time status of the performance parameter corresponding to the resource identifier is within a preset threshold range.

If the real-time state of the performance parameter corresponding to the resource identifier is in a normal working state, it means that the resource health information is in a healthy working state; otherwise, it means that the resource health information is not in a healthy working state, that is, an abnormality occurs;

If the real-time state of the performance parameter corresponding to the resource identifier is within the threshold range, it means that the resource health information is in a healthy working state; otherwise, it means that the resource health information is not in a healthy working state, that is, an abnormality occurs ;

Through the above method, the performance information can be compared in a targeted manner, the identification of abnormal cloud resources can be completed, and the management efficiency can be improved.

When an abnormal cloud resource occurs, an alarm operation can be performed on the resource, which is convenient for users to manage the abnormal cloud resource. In the method embodiment provided by the present invention, the management of the resource according to the judgment result includes:

When the judging result is that the resource is not in a healthy working state, an alarm message of resource abnormality is issued, and the alarm information is recorded.

Specifically, the alarm method can be to send out sound and light reminders or push them to the user's terminal through the network, and record the description information of the alarm, such as the description of the problem and processing suggestions, which is convenient for users to maintain and manage, and provides management reference for subsequent management.

Of course, in order to further reduce labor costs and improve the processing efficiency of abnormal resources, when the result of the judgment is that they are not in a healthy working state, sending out alarm information about resource exceptions and recording the alarm information, the method further includes:

According to the alarm processing strategy corresponding to each performance information stored in advance, obtain the processing strategy corresponding to the abnormal performance information;

Process the resource by using the processing strategy to obtain a processing result;

If the processing result is successful, the alarm operation is stopped, and the record of the alarm information is deleted.

Specifically, the alarm processing policy corresponding to the pre-stored resource health information, wherein the alarm processing policy is marked with performance information, by determining the performance information of the alarm, and then determining the corresponding alarm processing policy according to the performance information, according to the alarm The processing strategy performs the repair work. After the repair operation is completed, the processing result is output. If the repair is successful, the alarm information is deleted and the user is notified that the alarm has been resolved. If the repair is unsuccessful, the alarm information is kept and the user is automatically notified. Repair was unsuccessful.

Through the above method, automatic processing and maintenance of abnormal cloud resources can be realized, and the cost of human management can be effectively reduced.

FIG. 2 is a structural diagram of a cloud resource health management system based on a cloud platform provided by the present invention. The system shown in FIG. 2 includes a resource information collection device, a cloud resource health evaluation device, a cloud resource health evaluation rule device, an abnormal cloud resource processing device, and an abnormal cloud resource processing policy device. Wherein, the cloud resource information collection device is responsible for acquiring health information of various cloud resources through an API (Application Programming Interface, Application Programming Interface) of the cloud platform. The cloud resource health evaluation rule device is responsible for saving evaluation criteria for the health of various cloud resources. The cloud resource health evaluation device is responsible for judging whether the cloud resource is abnormal, and obtaining information about the abnormality of the cloud resource. The abnormal cloud resource processing strategy device is responsible for maintaining the strategy on how to handle abnormal cloud resources. The device for processing abnormal cloud resources is responsible for completing the processing of abnormal cloud resources.

The system's processing ideas include: after obtaining different types of cloud resource information, use the cloud resource health assessment rules to evaluate the cloud resource information, obtain the detailed information of abnormal cloud resources, and then use the abnormal cloud resource processing strategy to analyze the abnormal cloud resources resources are processed.

The specific implementation process of the system is as follows:

1) The cloud resource information collection device regularly calls the cloud resource information acquisition API of the cloud platform to obtain the health information of cloud resources of different resource types, and stores them in the database. The cloud resource health information data table will maintain a data table for each type of resource, and each data table includes resource id and resource health information fields. For example, for virtual machine resources, the fields of the resource health information table will include virtual machine id, virtual machine power status, virtual machine network status, virtual machine CPU load, virtual machine memory load, and the like.

2) Maintaining cloud resource health assessment rules in the cloud resource health assessment rule device. Add, modify, delete, enable, and disable cloud resource evaluation rules. The cloud resource evaluation rule will maintain a data table for each type of cloud resource, and each data table includes the resource evaluation attribute, whether it is enabled, and the resource exception judgment value.

There are two cases of resource abnormality judgment value, one is the case of binary value, that is, there are only two values corresponding to cloud resource attributes, for example, the power state of the virtual machine includes on and off; the other is the case of setting the threshold, such as The disk usage of the virtual machine.

Operations on resource evaluation rules include adding, opening, closing, and modifying.

3) The cloud resource evaluation device comprehensively judges cloud resource evaluation rules and cloud resource health information to obtain abnormal cloud resource information. The exception cloud resource data table will include resource type, resource id, and resource exception attributes.

4) The abnormal cloud resource processing policy device maintains the abnormal cloud resource processing policy, and the data table of the cloud resource abnormal processing policy includes cloud resource type, cloud resource abnormal attribute, and abnormal cloud resource processing policy. The abnormal cloud resource processing policies are some predefined policies, and the cloud resource abnormal processing device will be able to call the corresponding cloud resource processing API through the cloud resource processing policies.

Operations on abnormal cloud resource processing policies include adding, opening, closing, and modifying.

5) The cloud resource exception processing device will synthesize the abnormal cloud resource information and the abnormal cloud resource processing strategy to obtain the abnormal cloud resource processing method, and call the API of the cloud platform to complete the processing of the abnormal cloud resource. After the abnormal cloud resources are processed, the result of the processing operation is obtained from the cloud platform API, and the processing operation log is recorded.

The system embodiment provided by the present invention is mainly applied to the health management of cloud resources in the cloud platform. Through the health management of the cloud resources in the cloud platform, the abnormal cloud resources can be automatically processed, and the abnormal cloud resources can be realized. Automatic processing, thereby reducing the adverse effects of cloud resource exceptions and improving the availability of the cloud platform. At the same time, this solution supports health management of different types of cloud resources and has good scalability.

Based on the above-mentioned system structure, the method provided by the present invention mainly includes the following steps:

Step 1. Obtain the health information of various cloud resources through the API of the cloud platform;

Step 2. Create cloud resource health assessment rules;

Step 3. The cloud resource assessment device scans the cloud resource health information through the cloud resource health assessment rules created in step 2 to obtain abnormal cloud resource information;

Step 4. Create an abnormal cloud resource processing strategy;

Step 5. The abnormal cloud resource processing device calls the relevant API of the cloud platform to process the abnormal cloud resource according to the abnormal cloud resource processing policy created in step 4.

The method provided by the application example of the present invention automatically scans the cloud resource information of the cloud platform according to the cloud resource health assessment rules to obtain abnormal cloud resource information, and then automatically processes the abnormal resource according to the abnormal cloud resource processing strategy. The resource processing process can automatically process different types of abnormal cloud resources according to cloud resource evaluation rules and abnormal cloud resource processing policies, improve management efficiency, and reduce manual maintenance costs.

FIG. 3 is a structural diagram of a resource management device in a cloud computing system provided by the present invention. The device shown in Figure 3 includes:

An acquisition module 301, configured to acquire resource management information of each resource, wherein the resource management information includes resource identifiers and resource performance parameters;

The collection module 302 is configured to collect the real-time status of the performance parameters corresponding to each resource identifier according to a preset time strategy;

A judging module 303, configured to judge whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state according to a preset resource performance monitoring strategy, and obtain a judging result;

The management module 304 is configured to manage the resource according to the judgment result.

In the device embodiment provided by the present invention, the device further includes:

A receiving module, configured to receive a management request for a performance monitoring policy of a resource, wherein the management request includes at least one operation of adding, modifying, deleting, opening and closing the performance monitoring policy;

A processing module, configured to process the performance monitoring policy according to the management request.

In the device embodiment provided by the present invention, the judging module 303 is specifically configured to judge whether the real-time state of the performance parameter corresponding to the resource identifier is a preset normal working state; and/or judge whether the resource identifier corresponds to Whether the real-time status of the performance parameter is within the preset threshold range.

In the device embodiment provided by the present invention, the management module 304 includes:

The alarm unit is configured to send out alarm information about resource abnormality and record the alarm information when the judging result is that the resource is not in a healthy working state.

In the device embodiment provided by the present invention, the management module 304 further includes:

An acquisition unit, configured to acquire a processing strategy corresponding to abnormal performance information according to a pre-stored alarm processing strategy corresponding to each performance information;

a processing unit, configured to use the processing policy to process the resource to obtain a processing result;

The output unit is configured to stop the alarm operation and delete the record of the alarm information if the processing result is successful.

The device embodiment provided by the present invention acquires the resource management information of each resource, collects the real-time status of the performance parameters corresponding to each resource identifier, and then judges the performance corresponding to each resource identifier according to the preset resource performance monitoring strategy. Whether the real-time status of the parameters is in a healthy working state, the judgment result is obtained, and the resource is managed according to the judgment result, so as to realize the automatic processing of abnormal cloud resources, thereby reducing the adverse effects caused by abnormal cloud resources , to improve the availability of the cloud platform. At the same time, this solution supports health management of different types of cloud resources and has good scalability.

Those of ordinary skill in the art can understand that all or part of the steps of the above-mentioned embodiments can be implemented using a computer program flow, the computer program can be stored in a computer-readable storage medium, and the computer program can be run on a corresponding hardware platform (such as system, device, device, device, etc.), and when executed, includes one or a combination of the steps of the method embodiment.

Optionally, all or part of the steps in the above embodiments can also be implemented using an integrated circuit, and these steps can be fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module accomplish. As such, the present invention is not limited to any specific combination of hardware and software.

The devices/functional modules/functional units in the above embodiments can be realized by general-purpose computing devices, and they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices.

When each device/functional module/functional unit in the above-mentioned embodiments is realized in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, and the like.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope described in the claims.

Claims (10)

1. A method for managing resources in a cloud computing system, comprising: Acquiring resource management information of each resource, where the resource management information includes resource identifiers and resource performance parameters; Collect the real-time status of the performance parameters corresponding to each resource identifier according to the preset time strategy; According to the preset resource performance monitoring strategy, judge whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state, and obtain the judgment result; According to the judgment result, the resources are managed. 2. The method according to claim 1, characterized in that the method further comprises: receiving a management request for a resource performance monitoring policy, wherein the management request includes at least one operation of adding, modifying, deleting, opening and closing the performance monitoring policy; The performance monitoring policy is processed according to the management request. 3. The method according to claim 1 or 2, wherein said judging whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state, obtaining the judging result includes: Judging whether the real-time state of the performance parameter corresponding to the resource identifier is a preset normal working state; and/or, It is judged whether the real-time state of the performance parameter corresponding to the resource identifier is within a preset threshold range. 4. The method according to claim 1, wherein the managing the resource according to the judgment result comprises: When the judging result is that the resource is not in a healthy working state, an alarm message of resource abnormality is issued, and the alarm information is recorded. 5. The method according to claim 4, characterized in that, when the result of the judgment is that it is not in a healthy working state, sending out an alarm message of resource abnormality, and after recording the alarm information, the method further includes : According to the alarm processing strategy corresponding to each performance information stored in advance, obtain the processing strategy corresponding to the abnormal performance information; Process the resource by using the processing strategy to obtain a processing result; If the processing result is successful, the alarm operation is stopped, and the record of the alarm information is deleted. 6. A resource management device in a cloud computing system, characterized in that it comprises: An acquisition module, configured to acquire resource management information of each resource, wherein the resource management information includes resource identifiers and resource performance parameters; The collection module is used to collect the real-time status of the performance parameters corresponding to each resource identifier according to the preset time strategy; The judging module is used to judge whether the real-time state of the performance parameter corresponding to each resource identifier is in a healthy working state according to the preset resource performance monitoring strategy, and obtain the judgment result; A management module, configured to manage the resource according to the judgment result. 7. The device according to claim 6, further comprising: A receiving module, configured to receive a management request for a performance monitoring policy of a resource, wherein the management request includes at least one operation of adding, modifying, deleting, opening and closing the performance monitoring policy; A processing module, configured to process the performance monitoring policy according to the management request. 8. The device according to claim 6 or 7, characterized in that: The judging module is specifically used to judge whether the real-time state of the performance parameter corresponding to the resource identifier is a preset normal working state; and/or judge whether the real-time state of the performance parameter corresponding to the resource identifier is in the preset within the threshold range. 9. The device according to claim 6, wherein the management module comprises: The alarm unit is configured to send out alarm information about resource abnormality and record the alarm information when the judging result is that the resource is not in a healthy working state. 10. The device according to claim 9, wherein the management module further comprises: An acquisition unit, configured to acquire a processing strategy corresponding to abnormal performance information according to a pre-stored alarm processing strategy corresponding to each performance information; a processing unit, configured to use the processing policy to process the resource to obtain a processing result; The output unit is configured to stop the alarm operation and delete the record of the alarm information if the processing result is successful.