CN113360250B

CN113360250B - Application service resource control method, device, equipment and medium

Info

Publication number: CN113360250B
Application number: CN202110909437.7A
Authority: CN
Inventors: 傅明洲
Original assignee: Lianbao Hangzhou Information Technology Co ltd
Current assignee: Lianbao Hangzhou Information Technology Co ltd
Priority date: 2021-08-09
Filing date: 2021-08-09
Publication date: 2021-12-14
Anticipated expiration: 2041-08-09
Also published as: CN113360250A

Abstract

The application discloses a method, a device, equipment and a medium for controlling application service resources, wherein an application capacity expansion event and an application capacity reduction event are monitored, when the application capacity expansion event is monitored, an operating system identifier and an application identifier corresponding to a target service are determined, based on the operating system identifier and the application identifier corresponding to the target service, target operating system mirror image data are obtained from an operating system mirror database, target application data are obtained from cloud storage, a target virtual server is started by using the target operating system mirror image data, and target application is installed and started by using the target application data; when an application capacity reduction event is monitored, a target capacity reduction virtual server identifier and a target capacity reduction application identifier are determined, and the target capacity reduction application and the target capacity reduction virtual server are shut down based on the target capacity reduction virtual server identifier and the target capacity reduction application identifier, so that the capacity expansion and the release of application service resources can be realized, the timeliness of capacity expansion and capacity reduction is improved, and resources are saved.

Description

Application service resource control method, device, equipment and medium

Technical Field

The invention relates to the technical field of cloud computing, in particular to an application service resource control method, device, equipment and medium.

Background

In the application lifecycle, application service resource control is an important component in development or business implementation. In the current cloud computing technology, a new virtual machine server needs to be added manually, then a new application is deployed on the virtual machine server, and after a complicated, repeated and error-prone configuration verification process, the capacity expansion work is completed, otherwise, the capacity reduction work is also completed. For example, in a payment reconciliation system, a third-party payment company can reconcile transactions in a certain period and settle accounts with an e-commerce platform, the demand for application service resources is obviously improved in the reconciliation period, and the demand for application service resources is low outside the period, so that expansion and contraction are frequently performed if the application service resources are controlled by a manual means, the processing efficiency is low, the labor consumption is high, and errors are easy to occur; for another example, for some social software, when a large event occurs, background staff are required to perform capacity expansion in time, and the capacity is reduced after the heat is reduced, which often has a high requirement on timeliness of capacity expansion and capacity reduction.

Therefore, the capacity expansion and the capacity reduction of the application service resources are controlled by using a manual means, when the capacity expansion or the capacity reduction of the application service resources are determined to be needed, deployment and configuration verification are needed for a period of time, and the problems of slow manual response, untimely starting of the capacity expansion and the capacity reduction of the application service resources, low processing efficiency, high labor consumption and high error probability exist.

Disclosure of Invention

In order to solve the technical problems, the invention provides an application service resource control method, device, equipment and medium, which can greatly improve the timeliness of the starting response of application service resources, improve the efficiency of the expansion and contraction of the application service resources and save the resources.

In order to achieve the purpose of the above application, the present application provides an application service resource control method, including:

monitoring an application capacity expansion event and an application capacity reduction event;

when the application capacity expansion event is monitored, determining an operating system identifier and an application identifier corresponding to a target service;

acquiring target operating system mirror image data from an operating system mirror database and acquiring target application data from cloud storage based on the operating system identifier and the application identifier corresponding to the target service;

starting a target virtual server by using the mirror image data of the target operating system, and installing and starting a target application by using the target application data;

when the application capacity reduction event is monitored, determining a target capacity reduction virtual server identifier and a target capacity reduction application identifier;

based on the target capacity reduction application identification, shutting down the target capacity reduction application;

and shutting down the target capacity reduction virtual server based on the target capacity reduction virtual server identification.

In one possible implementation, the method further includes:

acquiring a system index and/or a service index;

the monitoring of the application capacity expansion event and the application capacity reduction event comprises the following steps:

and monitoring the application capacity expansion event and the application capacity reduction event based on the system index and/or the service index.

In one possible implementation, the method further includes:

acquiring a first preset system index threshold value and/or a first preset service index threshold value, and acquiring a second preset system index threshold value and/or a second preset service index threshold value;

the step of monitoring the application capacity expansion event and the application capacity reduction event based on the system index and/or the service index comprises:

monitoring whether the system index reaches the first preset system index threshold value, whether the service index reaches the first preset service index threshold value, and monitoring whether the system index reaches the second preset system index threshold value, and whether the service index reaches the second preset service index threshold value;

when the application capacity expansion event is monitored, determining the operating system identifier and the application identifier corresponding to the target service includes:

when the system index is monitored to reach the first preset system index threshold value and/or the service index reaches the first preset service index threshold value, determining an operating system identifier and an application identifier corresponding to the target service;

when the application capacity reduction event is monitored, determining the target capacity reduction virtual server identifier and the target capacity reduction application identifier comprises:

and when the system index is monitored to reach the second preset system index threshold value and/or the service index reaches the second preset service index threshold value, determining the target capacity reduction virtual server identifier and the target capacity reduction application identifier.

In one possible implementation, the method further includes:

acquiring a first preset system index trend threshold and/or a first preset service index trend threshold, and acquiring a second preset system index trend threshold and/or a second preset service index trend threshold;

generating system index trend data based on the system index and/or generating business index trend data based on the business index;

monitoring whether the system index trend data reaches the first preset system index trend threshold value and/or whether the service index trend data reaches the first preset service index trend threshold value;

when it is monitored that the system index trend data reaches the first preset system index trend threshold value and/or the service index trend data reaches the first preset service index trend threshold value, determining an operating system identifier and an application identifier corresponding to the target service;

In one possible implementation, the system metrics include: cpu utilization rate, load rate, memory occupancy rate, system I/O utilization rate and time;

the service indexes comprise: traffic request volume and traffic response time.

In one possible implementation, the method further includes:

determining third-party programs and configuration files corresponding to different applications;

generating corresponding operating system mirror image data based on the third-party programs and the configuration files corresponding to the different applications;

and generating the operating system mirror database based on the operating system mirror data corresponding to the different applications.

In one possible implementation, the method further includes:

monitoring an application update event;

when the application updating event is monitored, acquiring the latest target application data from the cloud storage;

and updating the corresponding target application by using the latest target application data.

In another aspect, the present application further provides an application service resource control apparatus, including:

the event monitoring module is used for monitoring an application capacity expansion event and an application capacity reduction event;

the first identification determining module is used for determining an operating system identification and an application identification corresponding to a target service when the application capacity expansion event is monitored;

the data acquisition module is used for acquiring target operating system mirror image data from an operating system mirror database and acquiring target application data from cloud storage based on the operating system identifier and the application identifier corresponding to the target service;

the capacity expansion module is used for starting a target virtual server by using the mirror image data of the target operating system and installing and starting a target application by using the target application data;

the second identification determining module is used for determining a target capacity reduction virtual server identification and a target capacity reduction application identification when the application capacity reduction event is monitored;

the first capacity reduction module is used for shutting down the target capacity reduction application based on the target capacity reduction application identifier;

and the second capacity reduction module is used for shutting down the target capacity reduction virtual server based on the target capacity reduction virtual server identifier.

In one possible implementation, the apparatus further includes:

the index acquisition module is used for acquiring system indexes and/or service indexes;

the event monitoring module is further configured to monitor the application capacity expansion event and the application capacity reduction event based on the system index and/or the service index.

In one possible implementation, the apparatus further includes:

the threshold value acquisition module is used for acquiring a first preset system index threshold value and/or a first preset service index threshold value and acquiring a second preset system index threshold value and/or a second preset service index threshold value;

the event monitoring module is further configured to monitor whether the system index reaches the first preset system index threshold, whether the service index reaches the first preset service index threshold, and whether the system index reaches the second preset system index threshold, and whether the service index reaches the second preset service index threshold;

the first identifier determining module is further configured to determine an operating system identifier and an application identifier corresponding to the target service when it is monitored that the system index reaches the first preset system index threshold value and/or the service index reaches the first preset service index threshold value;

and the second identifier determining module is further configured to determine the target capacity reduction virtual server identifier and the target capacity reduction application identifier when it is monitored that the system index reaches the second preset system index threshold value and/or the service index reaches the second preset service index threshold value.

In one possible implementation, the apparatus further includes:

the trend threshold value acquisition module is used for acquiring a first preset system index trend threshold value and/or a first preset service index trend threshold value and acquiring a second preset system index trend threshold value and/or a second preset service index trend threshold value;

the trend data generation module is used for generating system index trend data based on the system indexes and/or generating business index trend data based on the business indexes;

the event monitoring module is further configured to monitor whether the system index trend data reaches the first preset system index trend threshold and/or whether the service index trend data reaches the first preset service index trend threshold;

the first identifier determining module is further configured to determine an operating system identifier and an application identifier corresponding to the target service when it is monitored that the system index trend data reaches the first preset system index trend threshold and/or the service index trend data reaches the first preset service index trend threshold;

the second identifier determining module is further configured to determine the target capacity reduction virtual server identifier and the target capacity reduction application identifier when it is monitored that the system index reaches the second preset system index threshold value and/or the service index reaches the second preset service index threshold value.

In one possible implementation, the apparatus further includes:

the updating configuration data determining module is used for determining the third-party programs and the configuration files corresponding to different applications;

the mirror image data determining module is used for generating corresponding operating system mirror image data based on the third-party programs and the configuration files corresponding to the different applications;

and the mirror database generation module is used for generating the operating system mirror database based on the operating system mirror image data corresponding to the different applications.

In one possible implementation, the apparatus further includes:

the update event monitoring module is used for monitoring an application update event;

the application data acquisition module is used for acquiring the latest target application data from the cloud storage when the application update event is monitored;

and the updating module is used for updating the corresponding target application by using the latest target application data.

In another aspect, the present application further provides an electronic device, which includes a processor and a memory, where at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the application service resource control method.

In another aspect, the present application further provides a computer-readable storage medium, where at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the application service resource control method described above.

The application has the following beneficial effects:

the application can improve the objectivity and timeliness of elastic expansion and contraction of application resources by monitoring application capacity expansion events and application capacity contraction events, when the application capacity expansion events are monitored, operating system identification and application identification corresponding to a target service are determined, target operating system mirror image data are obtained from an operating system mirror database and target application data are obtained from cloud storage based on the operating system identification and the application identification corresponding to the target service, a target virtual server is started by utilizing the target operating system mirror image data, and target application is installed and started by utilizing the target application data, so that the application resources can be expanded in time; when an application capacity reduction event is monitored, a target capacity reduction virtual server identifier and a target capacity reduction application identifier are determined, the target capacity reduction application is shut down based on the target capacity reduction application identifier, and the target capacity reduction virtual server is shut down based on the target capacity reduction virtual server identifier, so that unnecessary application resources can be released, the timeliness of capacity reduction is improved, and resources are saved.

Drawings

In order to more clearly illustrate the technical solutions of the present application, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a schematic diagram of an application environment provided in an embodiment of the present application;

fig. 2 is a schematic flowchart of an application service resource control method according to an embodiment of the present application;

fig. 3 is a flowchart illustrating an application service resource control method according to another embodiment of the present application;

fig. 4 is a flowchart illustrating an application service resource control method according to another embodiment of the present application;

fig. 5 is a flowchart illustrating an application service resource control method according to another embodiment of the present application;

fig. 6 is a flowchart illustrating an application service resource control method according to another embodiment of the present application;

fig. 7 is a flowchart illustrating an application service resource control method according to another embodiment of the present application;

fig. 8 is a flowchart illustrating an application service resource control method according to another embodiment of the present application;

fig. 9 is a block diagram of an application service resource control apparatus according to an embodiment of the present application.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In order to implement the technical solution of the present application, so that more engineering workers can easily understand and apply the present application, the working principle of the present application will be further described with reference to specific embodiments.

Referring to fig. 1, fig. 1 is a schematic diagram illustrating an application environment according to an exemplary embodiment, which may include a server 01 and a terminal 02, as shown in fig. 1.

In an alternative embodiment, the server 01 may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers, at least one virtual machine server may be built in one physical server, and at least one application may be built on each virtual machine server. The server 01 may be used to control application service resources, and may also provide basic services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, and security services.

In an alternative embodiment, the terminal 02 may include at least one terminal through which a user may access an application in a virtual server to develop a service. In particular, the terminal 02 may include, but is not limited to, a smartphone, a desktop computer, a laptop computer, a digital assistant, a smart wearable device, and the like. Optionally, the operating system running on the terminal 02 may include, but is not limited to, Windows, Linux, android system, IOS system, and the like.

An embodiment of an application service resource control method according to the present application is described below, and fig. 2 is a schematic flowchart of an application service resource control method according to an embodiment of the present application, where the present specification provides the method operation steps described in the embodiment or the flowchart, but more or less operation steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. Specifically, as shown in fig. 2, the method may include:

s101: and monitoring an application capacity expansion event and an application capacity reduction event.

In this embodiment of the present specification, the application capacity expansion event may include an event that elastically expands the underlying application service resource, and the application capacity reduction event may include an event that releases the underlying application service resource. Specifically, an application service resource refers to a service resource on which a user in business needs to access a target application depends.

In practical application, the application capacity expansion event and the application capacity reduction event can be monitored based on some indexes, and the objectivity and timeliness of monitoring behaviors are improved.

S103: and when an application capacity expansion event is monitored, determining an operating system identifier and an application identifier corresponding to the target service.

In this embodiment of the present specification, the operating system identifier is used to represent an operating system environment in which applications corresponding to different services run, and the application identifier represents types and version numbers of applications corresponding to different services. The application service may run in a virtual server. To facilitate control of application service resources, it may be set to deploy a target application in a virtual server. Specifically, the target application in this embodiment may include a stateless application, where the stateless application refers to an application that does not save terminal data required in the next session in the session. The deployment of stateless applications enables the target application to respond in a new service session independent of historical data, that is, any access request to the target application, where the access request itself includes the total information, such as authentication information, required by the target application to respond to the access request.

Optionally, the operating system of the virtual machine server may include a Windows operating system, a Linux operating system, a UNIX operating system, and the like, and the application may include applications corresponding to different services, and specifically, the application may include multiple versions.

In practical application, when an application capacity expansion event is monitored, the amount of application resources required to be expanded can be determined according to actual needs, and specifically, the analysis of the expansion capacity can be performed according to system monitoring indexes and/or service monitoring indexes, for example, 3 virtual servers are currently built, each virtual server is loaded with an application resource a, the application resource a loaded in each virtual server can realize 100 ten thousand simultaneous online accesses, when the application capacity expansion event is monitored, the amount of application resources required to be expanded can be determined according to the current access amount, when 50 ten thousand simultaneous online accesses of the application resources a loaded in each virtual server are preset, the next application resource loaded with 50 ten thousand loads needs to be expanded, that is, when the current access amount is 300 ten thousand, 6 virtual servers loaded with the application resources a are needed, based on this, it is possible to determine the 3 virtual servers hosting the application resources that need to be expanded. The load of each target application in the virtual server is not limited in the application resource amount loaded by each virtual server.

Optionally, after determining the application resource amount required to be expanded, the operating system identifier and the application identifier corresponding to the target service are determined according to the application resource amount required to be expanded.

S105: and acquiring target operating system mirror image data from an operating system mirror database and acquiring target application data from cloud storage based on the operating system identifier and the application identifier corresponding to the target service.

In this embodiment of the present specification, the operating system identifier may have a mapping relationship with operating system mirror data in an operating system mirror database, and the application identifier may have a mapping relationship with application data in cloud storage. The operating system mirror image data can include data such as system files, boot files, partition table information and the like, and based on the data, according to the operating system identifier corresponding to the target service, the data such as the system files, the boot files, the partition table information and the like corresponding to the operating system identifier can be obtained from the operating system mirror image database.

Optionally, based on the operating system identifier corresponding to the target service, corresponding operating system image data in the IOS format may be obtained from the operating system image database, and based on the application identifier corresponding to the target service, target application data in the exe format may be obtained from the cloud storage, and the formats of the obtained operating system image data and the obtained target application data are not limited in this application. Specifically, the application data can be uploaded to the cloud storage through an automatic publishing platform or other manners.

S107: and starting the target virtual server by using the mirror image data of the target operating system, and installing and starting the target application by using the target application data.

In practical application, a server can be configured in advance to start an executed shell script, and the script is implanted into an operating system image file. The script is configured to pull target application data from the cloud storage and perform installation and startup of the target application during startup of the target virtual server using the target operating system image data. The application is not limited as to how to start the target virtual server and install and start the target application.

S104: and when the application capacity reduction event is monitored, determining a target capacity reduction virtual server identifier and a target capacity reduction application identifier.

In this embodiment of the present specification, the target capacity reduction virtual server identifier represents an identifier of a target virtual server that needs to perform resource release, and the target capacity reduction application identifier represents an identifier of a target application that needs to perform resource release.

Optionally, the target capacity reduction virtual server identifier and the target capacity reduction application identifier may be determined according to the application resource amount of the required capacity reduction.

S106: and stopping the target capacity reduction application based on the target capacity reduction application identification.

S108: and shutting down the target capacity reduction virtual server based on the target capacity reduction virtual server identifier.

In practical application, a shell script executed by a server can be preset, the shell script can assign a target capacity reduction virtual server identifier and a target capacity reduction application identifier to a variable corresponding to the target capacity reduction virtual server and the target capacity reduction application in the shell script when the target capacity reduction virtual server identifier and the target capacity reduction application identifier are determined, and the target capacity reduction application and the target capacity reduction virtual server are shut down based on the assigned shell script. The present application does not limit the shutdown mode of the target capacity reduction application and the target capacity reduction virtual server.

The objectivity and timeliness of elastic expansion and contraction of application resources can be improved by monitoring application capacity expansion events and application capacity contraction events, when the application capacity expansion events are monitored, operating system identification and application identification corresponding to a target service are determined, target operating system mirror image data are obtained from an operating system mirror database based on the operating system identification and the application identification corresponding to the target service, target application data are obtained from cloud storage, a target virtual server is started by utilizing the target operating system mirror image data, and target application is installed and started by utilizing the target application data, so that the application resources can be expanded in time; when an application capacity reduction event is monitored, a target capacity reduction virtual server identifier and a target capacity reduction application identifier are determined, the target capacity reduction application is shut down based on the target capacity reduction application identifier, and the target capacity reduction virtual server is shut down based on the target capacity reduction virtual server identifier, so that unnecessary application resources can be released, the timeliness of capacity reduction is improved, and resources are saved.

Fig. 3 is a flow chart illustrating a method for application service resource control in accordance with an example embodiment. In one possible implementation, the method may further include:

s200: and acquiring a system index and/or a service index.

Optionally, the system index may include: cpu utilization, load rate, memory occupancy, system I/O utilization and time, and the service indicators may include: traffic request volume and traffic response time. In some examples, the system index and/or the service index may be obtained according to a preset period, or the system index and/or the service index may be collected in real time.

Step S101 may be replaced with S201: and monitoring an application capacity expansion event and an application capacity reduction event based on the system index and/or the service index.

The method comprises the steps of obtaining a system index and/or a service index, monitoring an application capacity expansion event and an application capacity reduction event based on the system index and/or the service index, enabling the elastic expansion and contraction time of the application resource to be more accurate, and meanwhile improving the response efficiency of the elastic expansion and contraction of the application resource.

Fig. 4 is a flowchart illustrating an application service resource control method according to an example embodiment. In one possible implementation, the method may further include:

s301: and acquiring a first preset system index threshold value and/or a first preset service index threshold value, and acquiring a second preset system index threshold value and/or a second preset service index threshold value.

In this embodiment of the present specification, the first preset system index threshold and the first preset service index threshold correspond to an application capacity expansion event, and the second preset system index threshold and the second preset service index threshold correspond to an application capacity reduction event.

Step S201, monitoring the application capacity expansion event and the application capacity reduction event based on the system index and/or the service index may include:

s2011: monitoring whether the system index reaches a first preset system index threshold value and/or whether the service index reaches a first preset service index threshold value, monitoring whether the system index reaches a second preset system index threshold value and/or whether the service index reaches a second preset service index threshold value.

Step S103, when the application capacity expansion event is monitored, determining that the operating system identifier and the application identifier corresponding to the target service include:

s303: when the system index reaches a first preset system index threshold value and/or the service index reaches a first preset service index threshold value, determining an operating system identifier and an application identifier corresponding to the target service.

Step S104, when the application capacity reduction event is monitored, determining the target capacity reduction virtual server identifier and the target capacity reduction application identifier may include:

s304: and when the system index reaches a second preset system index threshold value and/or the service index reaches a second preset service index threshold value, determining a target capacity reduction virtual server identifier and a target capacity reduction application identifier.

In practical applications, it may be monitored whether system indexes including cpu usage, load rate, memory occupancy, system I/O usage, and time reach the corresponding first threshold, and/or whether service indexes including service request volume and service response time reach the corresponding first threshold. As shown in table 1, the first thresholds corresponding to the cpu utilization rate, the load rate, the memory occupancy rate, the system I/O utilization rate, and the time are respectively 80%, and the YYYY year, MM month DD day, and the first thresholds corresponding to the service request volume and the service response time are respectively 100 ten thousand and 0.1 second. The system index and the service index, and the first preset index threshold corresponding to each of the system index and the service index are only examples, and the application is not limited by this comparison.

TABLE 1

In the above table, it may be set that when any one of the cpu usage rate, the load rate, the memory occupancy rate, the system I/O usage rate, and the time reaches the corresponding first preset system index threshold, and any one or more of the service request amount and the service response time reaches the corresponding first preset service index threshold, it is determined that the application capacity expansion event is monitored, for example, when the cpu usage rate reaches 80% and the service request amount reaches 100 ten thousand, the application capacity expansion event is monitored. Based on one or more indexes in the system indexes and one or more indexes in the service indexes, the application capacity expansion event is monitored, and the fault tolerance rate of monitoring the application capacity expansion event can be improved. In addition, it may also be set that when any one of the cpu utilization rate, the load rate, the memory occupancy rate, the system I/O utilization rate, and the time reaches the corresponding first preset system index threshold, or any one or more of the service request amount and the service response time reaches the corresponding first preset service index threshold, it is determined that the application capacity expansion event is monitored, for example, when the service response time reaches 0.1 second, the application capacity expansion event is monitored. Based on one or more indexes in the system indexes or one or more indexes in the service indexes, the application capacity expansion event is monitored, and timeliness and efficiency of monitoring the application capacity expansion event can be improved.

In practical application, whether system indexes including cpu usage, load rate, memory occupancy, system I/O usage and time reach a corresponding second threshold or not may be monitored, and/or whether service indexes including service request volume and service response time reach a corresponding second threshold or not may be monitored, and when one or more indexes of cpu usage, load rate, memory occupancy, system I/O usage and time and/or one or more indexes of service request volume and service response time reach a corresponding second threshold, it is determined that an application capacity reduction event is monitored.

The embodiment can effectively monitor the application capacity expansion event and the application capacity reduction event in time by acquiring a first preset system index threshold value and/or a first preset service index threshold value and acquiring a second preset system index threshold value and/or a second preset service index threshold value and monitoring whether the system index reaches the first preset system index threshold value and/or whether the service index reaches the second preset service index threshold value, when the system index reaches the first preset system index threshold value and/or the service index reaches the first preset service index threshold value, the operating system identifier and the application identifier corresponding to the target service are determined, when the system index reaches the second preset system index threshold value and/or the service index reaches the second preset service index threshold value, the target capacity reduction virtual server identifier and the target capacity reduction application identifier are determined, the method can greatly improve the corresponding timeliness of the resource starting of the application server, improve the efficiency of the resource expansion and contraction of the application server and save resources.

Fig. 5 is a flowchart illustrating an application service resource control method according to an example embodiment. In one possible implementation, the method may further include:

s4011: and acquiring a first preset system index trend threshold and/or a first preset service index trend threshold, and acquiring a second preset system index trend threshold and/or a second preset service index trend threshold.

In this embodiment of the present specification, the first preset system index trend threshold and the first preset service index trend threshold correspond to an application capacity expansion event, and the second preset system index trend threshold and the second preset service index trend threshold correspond to an application capacity reduction event.

S4013: generating system index trend data based on the system index, and/or generating business index trend data based on the business index.

In this embodiment, the system index trend data may be generated according to the real-time system index and the historical system index, and/or the service index trend data may be generated according to the real-time service index and the historical service index. The system index trend data refers to the trend direction of the system index, and the service index trend data refers to the trend direction of the service index. The system index trend data may include a change speed of the system index, predicted system index data, and the like, and the service index trend data may include a change speed of the service index, predicted service index data, and the like. For example, in fig. 6, before time t1, the historical service request volume is stabilized at 50 ten thousand, and then gradually rises to time t2 to reach 90 ten thousand, it can be determined that the service request volume will reach 100 ten thousand at a subsequent time according to the rising trend of the service access volume in the time period from t1 to t2, in this example, the rate of change of the rising service access volume and the service request volume reaching 90 thousand at time t1 are service access volume trend data.

s2012: and monitoring whether the system index trend data reaches a first preset system index trend threshold value and/or whether the service index trend data reaches a first preset service index trend threshold value, whether the system index trend data reaches a second preset system index trend threshold value and/or whether the service index trend data reaches a second preset service index trend threshold value.

In this embodiment of the present disclosure, the first preset system index trend threshold may include a preset rate of change of system index data rising and a preset maximum threshold of system index before an interval time, the first preset service index trend threshold may include a rate of change of service index data rising and a preset maximum threshold of service index before the interval time, the second preset system index trend threshold may include a preset rate of change of system index data falling and a preset minimum threshold of system index before the interval time, and the second preset service index trend threshold may include a preset rate of change of service index data falling and a preset minimum threshold of service index before the interval time.

Step 103, when an application capacity expansion event is monitored, determining that the operating system identifier and the application identifier corresponding to the target service include:

s403: and when it is monitored that the system index trend data reaches a first preset system index trend threshold value and/or the service index trend data reaches a first preset service index trend threshold value, determining an operating system identifier and an application identifier corresponding to the target service.

s404: and when it is monitored that the system index trend data reaches a first preset system index trend threshold value and/or the service index trend data reaches a first preset service index trend threshold value, determining an operating system identifier and an application identifier corresponding to the target service.

The embodiment detects whether system index trend data reaches a first preset system index trend threshold and/or a first preset service index trend threshold and acquires a second preset system index trend threshold and/or a second preset service index trend threshold, and/or whether service index trend data reaches the first preset service index trend threshold, predictably monitors application capacity expansion events and application capacity contraction events, determines an operating system identifier and an application identifier corresponding to a target service when the system index trend data reaches the first preset system index trend threshold and/or the service index trend data reaches the first preset service index trend threshold, and determines an operating system identifier and an application identifier corresponding to the target service when the system index reaches the second preset system index threshold and/or the service index reaches the second preset service index threshold, the target capacity reduction virtual server identification and the target capacity reduction application identification are determined, so that the corresponding timeliness of resource starting of the application server can be greatly improved, the efficiency of resource expansion and contraction of the application server is improved, and resources are saved.

Fig. 7 is a flowchart illustrating an application service resource control method according to an example embodiment. In one possible implementation, the method may further include:

s501: and determining the third-party programs and the configuration files corresponding to different applications.

In this embodiment of the present specification, the third-party program and the configuration file corresponding to different applications refer to the third-party program and the configuration file that are required when the application is installed and started.

S503: and generating corresponding operating system image data based on the third-party programs and the configuration files corresponding to different applications.

In this embodiment of the present description, a third-party program and a configuration file corresponding to different applications may be packaged and converted in format to generate corresponding operating system image data.

S505: and generating an operating system mirror database based on the operating system mirror data corresponding to different applications.

In the embodiment of the present specification, the operating system image data corresponding to different applications is stored in the operating system image database, so that the operating system image data corresponding to the target service is obtained during subsequent capacity expansion and capacity reduction.

In the embodiment, by determining the third-party programs and the configuration files corresponding to different applications, generating corresponding operating system mirror image data based on the third-party programs and the configuration files corresponding to the different applications, and then generating an operating system mirror database based on the operating system mirror image data corresponding to the different applications, services of the different applications can be used as templates, installation and starting of subsequent template applications can be guaranteed to the greatest extent, the efficiency of expansion and contraction of application service resources is improved, and errors in the expansion or contraction process are avoided.

Fig. 8 is a flowchart illustrating an application service resource control method according to an example embodiment. In one possible implementation, the method may further include:

s601: application update events are monitored.

In this embodiment of the present specification, the application update event may include an updated version of the target application or patch data in the cloud storage, and may also include a set application update time.

S603: when an application update event is monitored, the latest target application data is acquired from the cloud storage.

In an embodiment of the present specification, when an application update event is that an update version or patch data occurs in a target application in cloud storage, it is monitored that the update version or patch data occurs in the target application in the cloud storage, and latest target application data is acquired from the cloud storage. And when the application updating event is the set application updating time and the set application updating time is monitored, acquiring the latest target application data from the cloud storage.

S605: and updating the corresponding target application by using the latest target application data.

In this embodiment, by monitoring an application update event, when the application update event is monitored, the latest target application data is acquired from the cloud storage, and then the corresponding target application is updated by using the latest target application data, so that the application service resources after expansion or contraction can be updated while the application service resource expansion and contraction function is realized, and the update requirements of the target application corresponding to the service are met.

Fig. 9 is a block diagram illustrating an application service resource control apparatus according to an example embodiment. Referring to fig. 9, the apparatus may include:

the event monitoring module 701 is configured to monitor an application capacity expansion event and an application capacity reduction event.

The first identifier determining module 703 is configured to determine, when an application capacity expansion event is monitored, an operating system identifier and an application identifier corresponding to a target service.

The data obtaining module 705 is configured to obtain, based on the operating system identifier and the application identifier corresponding to the target service, target operating system mirror image data from an operating system mirror database, and obtain target application data from a cloud storage.

And the capacity expansion module 707 is configured to start the target virtual server using the target operating system image data, and install and start the target application using the target application data.

The second identifier determining module 709 is configured to determine, when an application capacity reduction event is monitored, a target capacity reduction virtual server identifier and a target capacity reduction application identifier.

The first capacity reduction module 711 is configured to shut down the target capacity reduction application based on the target capacity reduction application identifier.

A second capacity reduction module 713, configured to shut down the target capacity reduction virtual server based on the target capacity reduction virtual server identifier.

In one possible implementation, the apparatus further includes:

and the index acquisition module is used for acquiring system indexes and/or service indexes.

The event monitoring module is further used for monitoring an application capacity expansion event and an application capacity reduction event based on the system index and/or the service index.

In one possible implementation, the apparatus further includes:

the threshold value obtaining module is used for obtaining a first preset system index threshold value and/or a first preset service index threshold value and obtaining a second preset system index threshold value and/or a second preset service index threshold value.

The event monitoring module is further used for monitoring whether the system index reaches a first preset system index threshold value, whether the service index reaches a first preset service index threshold value, whether the system index reaches a second preset system index threshold value and whether the service index reaches a second preset service index threshold value.

The first identifier determining module is further configured to determine an operating system identifier and an application identifier corresponding to the target service when it is monitored that the system index reaches a first preset system index threshold value and/or the service index reaches a first preset service index threshold value.

And the second identifier determining module is further used for determining the target capacity reduction virtual server identifier and the target capacity reduction application identifier when the system index reaches a second preset system index threshold value and/or the service index reaches a second preset service index threshold value.

In one possible implementation, the apparatus further includes:

and the trend threshold acquisition module is used for acquiring a first preset system index trend threshold and/or a first preset service index trend threshold and acquiring a second preset system index trend threshold and/or a second preset service index trend threshold.

And the trend data generation module is used for generating system index trend data based on the system indexes and/or generating business index trend data based on the business indexes.

And the event monitoring module is also used for monitoring whether the system index trend data reaches a first preset system index trend threshold value and/or whether the service index trend data reaches a first preset service index trend threshold value.

The first identifier determining module is further configured to determine an operating system identifier and an application identifier corresponding to the target service when it is monitored that the system index trend data reaches a first preset system index trend threshold and/or the service index trend data reaches a first preset service index trend threshold.

In one possible implementation, the apparatus further includes:

and the update configuration data determining module is used for determining the third-party programs and the configuration files corresponding to different applications.

And the mirror image data determining module is used for generating corresponding operating system mirror image data based on the third-party programs and the configuration files corresponding to different applications.

And the mirror database generation module is used for generating an operating system mirror database based on the operating system mirror image data corresponding to different applications.

In one possible implementation, the apparatus further includes:

and the update event monitoring module is used for monitoring the application update event.

And the application data acquisition module is used for acquiring the latest target application data from the cloud storage when the application update event is monitored.

It will be appreciated by those skilled in the art that the foregoing embodiments are merely block diagrams of some structures related to the present disclosure, and do not constitute a limitation on the electronic devices to which the present disclosure may be applied, and a particular electronic device may include more or less components than those shown in the drawings, or may combine certain components, or have a different arrangement of components.

In an exemplary embodiment, there is also provided an electronic device including: the application service resource control method comprises a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or at least one program is loaded by the processor and executed to realize the application service resource control method according to any one of the above embodiments.

In an exemplary embodiment, there is also provided a computer-readable storage medium, in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform a multimedia data processing method and a multimedia data tag identification method in the embodiments of the present disclosure. The computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, a computer program product containing instructions is also provided, which when run on a computer causes the computer to perform the method of multimedia data processing and the multimedia data tag identification method in the embodiments of the present application.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that although embodiments described herein include some features included in other embodiments, not other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims of the present invention, any of the claimed embodiments may be used in any combination.

The present invention may also be embodied as apparatus or system programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps or the like not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several systems, several of these systems may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering and these words may be interpreted as names.

Claims

1. An application service resource control method, the method comprising:

when the application capacity expansion event is monitored, determining an operating system identifier and an application identifier corresponding to a target service; the application identification represents the type and version number of the application corresponding to different services;

starting a target virtual server by using the mirror image data of the target operating system, and installing and starting a target application by using the target application data so as to respond to an access request to the target application and establish a new service session, wherein the target application comprises a stateless application which is an application not storing terminal data required in the next session in the session;

2. The method of claim 1, further comprising: acquiring a system index and/or a service index;

3. The method of claim 2, further comprising:

the monitoring the application capacity expansion event and the application capacity reduction event based on the system index and/or the service index includes:

monitoring whether the system index reaches the first preset system index threshold value, and/or whether the service index reaches the first preset service index threshold value, and monitoring whether the system index reaches the second preset system index threshold value, and/or whether the service index reaches the second preset service index threshold value;

4. The method of claim 2, further comprising:

monitoring whether the system index trend data reaches a first preset system index trend threshold value, and/or whether the service index trend data reaches a first preset service index trend threshold value, and whether the system index trend data reaches a second preset system index trend threshold value, and/or whether the service index trend data reaches a second preset service index trend threshold value;

and when the system index is monitored to reach the second preset system index trend threshold value and/or the service index reaches the second preset service index trend threshold value, determining the target capacity reduction virtual server identifier and the target capacity reduction application identifier.

5. The method of claim 2, wherein the system metrics comprise: cpu utilization rate, load rate, memory occupancy rate, system I/O utilization rate and time;

the service indexes comprise: traffic request volume and traffic response time.

6. The method of claim 1, further comprising:

7. The method of claim 1, further comprising:

monitoring an application update event;

8. An apparatus for application service resource control, the apparatus comprising:

the first identification determining module is used for determining an operating system identification and an application identification corresponding to a target service when the application capacity expansion event is monitored; the application identification represents the type and version number of the application corresponding to different services;

the capacity expansion module is used for starting a target virtual server by using the mirror image data of the target operating system, and installing and starting a target application by using the target application data so as to respond to an access request to the target application and establish a new service session, wherein the target application comprises a stateless application, and the stateless application is an application which does not save terminal data required in the next session in the session;

9. An electronic device, comprising a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded by the processor and executed to implement the application service resource control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, in which at least one instruction or at least one program is stored, the at least one instruction or the at least one program being loaded and executed by a processor to implement the application service resource control method according to any one of claims 1 to 7.