CN111309476A - Method for automatically adjusting resources of push system and storage medium - Google Patents
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Abstract
The invention provides a method for automatically adjusting resources of a push system and a storage medium, wherein the method comprises the following steps: counting the resource occupation condition of each access service according to a preset period; if the total resource occupation condition of all the access services is greater than or equal to the preset upper limit of the resources, executing a capacity expansion strategy: expanding the capacity according to the first percentage of the maximum total access quantity of the latest preset days; if the total resource occupation situation of all the access services is lower than the resource upper limit, and the access services exist, wherein the access number of the access services is less than or equal to a second percentage of the maximum accessible number of a single access service, and the total number of normal service message types sent in the last period is lower than a third percentage of the total number of all the message types, executing a capacity reduction strategy: and transferring the client of the access service to other access services, and deleting the access service. The invention can realize automatic resource adjustment of the pushing system, realize rationalization of resource utilization and optimize resources; and the regulation and control precision is accurate, and the regulation and control mode has rationality.
Description
Technical Field
The invention relates to the field of message pushing, in particular to a method for automatically adjusting resources by a pushing system and a storage medium.
Background
Today, most mobile phone APPs provide a message pushing function. Such as hot news recommendations for news clients, chat message reminders for IM tools, e-commerce product promotions, notification and approval processes for enterprise applications, and the like. The push plays an important role in improving the activity of products, the utilization rate of functional modules, the viscosity of users and the retention rate of users.
In the application of the existing push system, a routing cluster exists, a client accesses an interface of the routing cluster in advance to acquire a routing list, then selects one address of the routing cluster, and is connected to a certain access service in the routing cluster to establish a long link. After the long link is established, the server and the client keep a long link, and all messages are transmitted through the long link. The above is a flow performed by a general push system. In the existing push system, basically, each client has a corresponding long link with the server on the basis of smooth network, so that the deployment of the access service application in the server can predict the corresponding user number, and the subsequent server can deploy the related access application number. For example, each access service application can support at most 5W of access user number, and if the number of users is estimated to be 100W, at least 20 access service applications need to be deployed. However, sometimes, when business activities are done or products are sold well, the number of users can be increased suddenly, so that the load of the system is increased, and normal use is affected; sometimes, the user does not use the product or the network is not good, and the access is performed for some users without corresponding access service applications, which may result in the unreasonable use of resources. Whether a scheme capable of automatically evaluating and analyzing according to history and real-time quantity exists or not and further automatically adjusting resources is adopted to solve the problems.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: a method and a storage medium for automatically adjusting resources of a push system are provided, so that the resource allocation of the push system is more reasonable, and the resource utilization rate is improved.
In order to solve the technical problems, the invention adopts the technical scheme that:
a method for automatically adjusting resources by a push system comprises the following steps:
counting the resource occupation condition of each access service according to a preset period;
if the total resource occupation condition of all the access services is larger than or equal to the preset upper limit of resources, executing a capacity expansion strategy, wherein the capacity expansion strategy is to expand the capacity according to the first percentage of the maximum total access quantity of the latest preset days;
and if the total resource occupation condition of all the access services is lower than the resource upper limit, the second percentage of the maximum accessible number of the access services exists, and the total number of the normal service message types sent in the previous period is lower than the third percentage of the total number of all the message types, executing a capacity reduction strategy, wherein the capacity reduction strategy is to transfer the client accessed to the access services to other access services and delete the access services.
The invention provides another technical scheme as follows:
a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, is capable of implementing the steps included in the method for automatically adjusting resources by a push system.
The invention has the beneficial effects that: the invention monitors and analyzes the resource occupation condition of each access service, and automatically sends out the command of capacity expansion or capacity reduction of the access service by combining historical data and real-time data, thereby realizing the automatic capacity expansion/reduction function given by a push system, effectively improving the resource utilization rate and optimizing the system resources.
Drawings
Fig. 1 is a schematic flowchart illustrating a method for automatically adjusting resources of a push system according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for automatically adjusting resources in a push system according to an embodiment of the present invention.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
The most key concept of the invention is as follows: and monitoring and analyzing the resource occupation condition of each access service, and automatically sending out an expansion or contraction command of the access service by combining historical data and real-time data.
Referring to fig. 1, the present invention provides a method for automatically adjusting resources in a push system, including:
counting the resource occupation condition of each access service according to a preset period;
if the total resource occupation condition of all the access services is larger than or equal to the preset upper limit of resources, executing a capacity expansion strategy, wherein the capacity expansion strategy is to expand the capacity according to the first percentage of the maximum total access quantity of the latest preset days;
and if the total resource occupation condition of all the access services is lower than the resource upper limit, the second percentage of the maximum accessible number of the access services exists, and the total number of the normal service message types sent in the previous period is lower than the third percentage of the total number of all the message types, executing a capacity reduction strategy, wherein the capacity reduction strategy is to transfer the client accessed to the access services to other access services and delete the access services.
Further, the resource occupation condition includes memory occupation, a CPU, a current access quantity, and a current message sending quantity of each accessed application.
As can be seen from the above description, the monitored and analyzed data about the resource occupation details are comprehensive enough, so that the monitoring result and the control of the expansion/contraction capacity are more accurate.
Further, still include:
performing ascending arrangement on each access service according to the accessed quantity, and sending an arrangement result to the routing cluster;
and the routing cluster updates the routing address list according to the received arrangement result.
As can be seen from the above description, the routing address lists are arranged in an ascending order according to the number of accesses, and when the routing cluster allocates the access objects, the routing cluster can more quickly point to the access service with a smaller number of accesses, so that the routing cluster can more reasonably and more efficiently allocate the link objects of the clients.
Further, the capacity reduction strategy specifically includes:
sending a first capacity reduction command to the routing cluster;
the routing cluster eliminates the address of the access service according to the first capacity reduction command;
sending a second capacity reduction command to the access service in the access cluster;
the access service sends a command for reestablishing the long link to a client side accessed to the local machine according to the second capacity reduction command;
the client requests a routing cluster to obtain a latest routing address list again according to the command;
and when the number of the clients accessing the access service is 0, deleting the access service.
According to the description, the routing address is proposed first, so that the access of a new client can be effectively prevented; and then the accessed client is transferred, and the access service is deleted, so that the capacity reduction mode has rationality and integrity.
Further, the upper limit of the resource is 70-90%; the number of days is 3-10 days; the first percentage is 15-50%; the second percentage is 0% -5%; the third percentage is 15-50%.
From the above description, it can be seen that the setting of the threshold range is more reasonable, and can be used as an effective reference for the actual use of the user.
The invention provides another technical scheme as follows:
a computer-readable storage medium, on which a computer program is stored, where the program, when executed by a processor, is capable of implementing the following steps included in a method for a push system to automatically adjust resources:
counting the resource occupation condition of each access service according to a preset period;
if the total resource occupation condition of all the access services is larger than or equal to the preset upper limit of resources, executing a capacity expansion strategy, wherein the capacity expansion strategy is to expand the capacity according to the first percentage of the maximum total access quantity of the latest preset days;
and if the total resource occupation condition of all the access services is lower than the resource upper limit, the second percentage of the maximum accessible number of the access services exists, and the total number of the normal service message types sent in the previous period is lower than the third percentage of the total number of all the message types, executing a capacity reduction strategy, wherein the capacity reduction strategy is to transfer the client accessed to the access services to other access services and delete the access services.
Further, the resource occupation condition includes memory occupation, a CPU, a current access quantity, and a current message sending quantity of each accessed application.
Further, still include:
performing ascending arrangement on each access service according to the accessed quantity, and sending an arrangement result to the routing cluster;
and the routing cluster updates the routing address list according to the received arrangement result.
Further, the capacity reduction strategy specifically includes:
sending a first capacity reduction command to the routing cluster;
the routing cluster eliminates the address of the access service according to the first capacity reduction command;
sending a second capacity reduction command to the access service in the access cluster;
the access service sends a command for reestablishing the long link to a client side accessed to the local machine according to the second capacity reduction command;
the client requests a routing cluster to obtain a latest routing address list again according to the command;
and when the number of the clients accessing the access service is 0, deleting the access service.
Further, the upper limit of the resource is 70-90%; the number of days is 3-10 days; the first percentage is 15-50%; the second percentage is 0% -5%; the third percentage is 15-50%.
As can be understood from the above description, those skilled in the art can understand that all or part of the processes in the above technical solutions can be implemented by instructing related hardware through a computer program, where the program can be stored in a computer-readable storage medium, and when executed, the program can include the processes of the above methods. After the process is executed, the beneficial effects corresponding to the methods can be realized.
The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Example one
Referring to fig. 2, the present embodiment provides a method for automatically adjusting resources of a push system, which can automatically expand/contract a push system according to historical data and real-time data, thereby improving the utilization rate of resources and optimizing system resources.
The method is characterized in that the following contents are added on the basis of the existing pushing system (a client side obtains a routing address list by accessing an interface for obtaining the routing address list in a routing cluster; one address is selected according to a set rule for establishing a long link):
s1: counting the resource occupation condition of each access service according to a preset period;
the resource occupation condition comprises data such as memory occupation, CPU, current access quantity, current message sending quantity of each accessed application and the like.
Optionally, the period is 5-20 minutes; the optimal time is 15 minutes, so that the burden of the system due to frequent statistics can be avoided, and the accuracy of the statistical data can be ensured.
S2: and according to the statistical result of each time, synchronously performing ascending arrangement on each access service according to the accessed quantity, and sending the arrangement result to the routing cluster. That is, each access service is ordered from small to large according to the number of accessed clients. And the routing cluster updates the routing address list according to the received arrangement result. That is, the order of the routing addresses of the access services in the routing address list corresponds to the above arrangement result.
Therefore, after each counting is finished, the routing address list is synchronously updated to be sorted, and the access quantity is small, so that the routing cluster can quickly point the clients which subsequently request to access to the access services with small access quantity, link objects of the access clients are more reasonably distributed, and the load balance of each access service is realized as much as possible; meanwhile, the distribution efficiency can be improved, and the distribution mode is optimized.
S3: and judging whether the total resource occupation situation of all the access services is greater than or equal to a preset resource upper limit or not according to the statistical result.
Here, the total maximum access number is used as the most critical criterion of the total resource occupation situation. Meanwhile, the preset upper limit of the resources can be 70-90%, and can be flexibly selected according to actual requirements. This embodiment will be described with an upper limit of 80% as an example.
Assuming a total of 20 access services, each access service has a maximum accessible number of 5W; when the total maximum access number of 80% is generally reached (namely about 80W), the capacity expansion needs to be considered; and the access quantity of a single access application is only about 5% of the maximum accessible quantity of a single application service, and capacity reduction processing can be considered.
S4: and if so, executing a capacity expansion strategy.
The capacity expansion strategy is to expand the capacity according to the first percentage of the maximum total access quantity of the latest preset days. The maximum total access quantity is the maximum total access quantity of all the access services in the preset days. Alternatively, the number of days is 3-10 days; the first percentage is 15-50%; the preferred number of days is 7 days; the first percentage is 25%.
Corresponding to the above assumption, the capacity expansion operation of the access application is performed by 25% based on the maximum total access number of the last 7 days. After capacity expansion, the access service is started, and preferably, the order of each access service in the routing address list is re-ordered according to step S2, so as to implement load balancing of the access service.
S5: if not, further judging whether the access service exists in a second percentage of which the access quantity is less than or equal to the maximum accessible quantity of the single access service and the total number of normal service message types sent in the previous period is less than a third percentage of the total number of all message types (including heartbeat message types, service push message types and the like);
if yes, judging that the access service is a capacity reduction object, and executing a capacity reduction strategy; if not, returning to execute S1;
optionally, the second percentage is 0% -5%; the third percentage is 15-50%. Preferably, the second percentage is 5%; the third percentage is 30%.
The capacity reduction strategy specifically comprises the following steps: sending a first capacity reduction command to a routing cluster, and eliminating the address of a capacity reduction object in a routing address list by the routing cluster so as to prevent a new client from accessing; meanwhile, a second capacity reduction command is sent to a capacity reduction object located in the access cluster, and the capacity reduction object sends a command for reestablishing the long link to a client (namely the client on line on the local machine) accessed to the local machine; after receiving the command, the clients request the routing cluster to acquire the latest routing address list again, and the routing cluster redistributes the linked access service; when the access number of the capacity object is 0, the capacity object can be deleted. And recycling of resources is realized.
The automatic capacity reduction and expansion operation can be automatically processed according to the number of users, so that the manpower is saved, the reasonable utilization rate of resources can be improved, and the system resources are optimized.
Example two
This embodiment provides a specific application scenario corresponding to the first embodiment:
assuming that the maximum accessible number of each access application service is 5W, and generally reaches 80% of the total maximum accessible number (i.e. about 80W), capacity expansion needs to be considered, and generally, the access number of a single access application is only about 5% of the maximum accessible number of a single application service (i.e. about 0.25W), and capacity reduction processing may be considered.
During capacity expansion, that is, according to the statistical analysis result, it is found that the total access number of all 20 access application services exceeds 80W, and capacity expansion needs to be performed at this time. The expansion cardinality can be selected by self. When the ratio of reaching the capacity expansion condition is 80%, because the ratio is already high, the capacity expansion cardinal number can directly use the total access number of all the access application services as the cardinal number, and the capacity expansion is performed by about 25% (namely, the capacity expansion is 25 w). In a specific example, when the ratio of reaching the capacity expansion condition is 60%, the capacity expansion is also performed, at this time, the ratio is not very high, and the capacity expansion base number may use the maximum total access number of the last 7 days in the statistical data as the base number, so as to perform the capacity expansion by about 25%. For example, if the maximum total access number is 80w in the last 7 days, the capacity expansion is performed by 25% based on the maximum total access number.
The capacity expansion is carried out by setting different capacity expansion cardinality according to different occupation ratios, so that the accurate capacity expansion can be realized, the expanded capacity can better meet the requirement, and resources are not wasted.
Meanwhile, after capacity expansion, the accessed number of each access application is sent to the routing cluster as usual, and the access application addresses are reordered by the routing cluster, so that load balance is realized.
When capacity is reduced, namely the total maximum access number does not reach 80% of the total accessible number (namely 80W), meanwhile, the access number of some single access application services is less than or equal to 5% of the maximum accessible number of the single application services (namely 0.25W), meanwhile, in data statistics of the last moment of the access application services (namely statistical data before 15 minutes), the proportion of the message sending number of the normal service type to the total message is low, and the specific proportion can be determined according to the service and is generally about 30%; the messages are classified into types, and generally comprise a heartbeat message type, a service push message type and the like. The capacity reduction operation may be initiated.
During capacity reduction operation, a capacity reduction command is sent to the routing cluster, and the routing cluster eliminates the routing address of the access application service needing capacity reduction, so that a new client is prevented from accessing. Meanwhile, a capacity reduction command is sent to the capacity reduction application service accessed to the cluster, and the accessed application service sends a command for reestablishing new connection to an online client on the local machine; after receiving the command, the client requests the routing cluster to obtain the latest routing address list again, and establishes long links to other access services. At this time, when the client re-acquires the routing address, since the access application service requiring the capacity reduction is already removed from the routing address list, no new client accesses to the capacity reduction application. And when the access quantity of the application service to be subjected to capacity reduction is 0, the application can be deleted, so that the resources are saved.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, which stores a computer program, where the computer program is capable of implementing the steps included in the method for automatically adjusting resources of a push system according to the first embodiment or the second embodiment when the computer program is executed by a processor.
In summary, the method and the storage medium for automatically adjusting resources of a push system provided by the present invention can realize automatic resource adjustment of the push system, realize rationalization of resource utilization, and optimize resources; the regulation and control precision is accurate, and the regulation and control mode has rationality; further, the access allocation speed and the access allocation rationality can be improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (6)
1. A method for automatically adjusting resources by a push system is characterized by comprising the following steps:
counting the resource occupation condition of each access service according to a preset period;
if the total resource occupation condition of all the access services is larger than or equal to the preset upper limit of resources, executing a capacity expansion strategy, wherein the capacity expansion strategy is to expand the capacity according to the first percentage of the maximum total access quantity of the latest preset days;
and if the total resource occupation condition of all the access services is lower than the resource upper limit, the second percentage of the maximum accessible number of the access services exists, and the total number of the normal service message types sent in the previous period is lower than the third percentage of the total number of all the message types, executing a capacity reduction strategy, wherein the capacity reduction strategy is to transfer the client accessed to the access services to other access services and delete the access services.
2. The method as claimed in claim 1, wherein the resource occupation status includes memory occupation, CPU, current access quantity, and current message sending quantity of each accessed application.
3. The method of claim 1, further comprising:
performing ascending arrangement on each access service according to the accessed quantity, and sending an arrangement result to the routing cluster;
and the routing cluster updates the routing address list according to the received arrangement result.
4. The method for automatically adjusting resources of a push system according to claim 1, wherein the capacity reduction policy specifically includes:
sending a first capacity reduction command to the routing cluster;
the routing cluster eliminates the address of the access service according to the first capacity reduction command;
sending a second capacity reduction command to the access service in the access cluster;
the access service sends a command for reestablishing the long link to a client side accessed to the local machine according to the second capacity reduction command;
the client requests a routing cluster to obtain a latest routing address list again according to the command;
and when the number of the clients accessing the access service is 0, deleting the access service.
5. The method as claimed in claim 1, wherein the upper limit of the resource is 70-90%; the number of days is 3-10 days; the first percentage is 15-50%; the second percentage is 0% -5%; the third percentage is 15-50%.
6. A computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, is capable of implementing the steps included in a method for automatically adjusting resources by a push system according to any one of claims 1 to 5.
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| CN111796768B (en) * | 2020-06-30 | 2023-08-22 | 中国工商银行股份有限公司 | Distributed service coordination method, device and system |
| CN113806010A (en) * | 2021-08-13 | 2021-12-17 | 济南浪潮数据技术有限公司 | Dynamic adjustment method, device and medium for service personalized configuration |
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