CN111309476B - Method for pushing system to automatically adjust resources and storage medium - Google Patents
Method for pushing system to automatically adjust resources and storage medium Download PDFInfo
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- CN111309476B CN111309476B CN202010074824.9A CN202010074824A CN111309476B CN 111309476 B CN111309476 B CN 111309476B CN 202010074824 A CN202010074824 A CN 202010074824A CN 111309476 B CN111309476 B CN 111309476B
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000001174 ascending effect Effects 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims 1
- 230000033228 biological regulation Effects 0.000 abstract description 5
- 230000000694 effects Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000011038 discontinuous diafiltration by volume reduction Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000008602 contraction Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention provides a method and a storage medium for automatically adjusting resources by a push system, 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 resource limit, executing a capacity expansion strategy: expanding the capacity according to a first percentage of the maximum total access number of the latest preset days; if the total resource occupation condition of all the access services is lower than the upper limit of the resources and the second percentage of the maximum accessible quantity of the single access service exists, executing the capacity-shrinking strategy if the total number of the normal service message types sent by the system in the last period is lower than the third percentage of the total number of the message types: 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 push system, rationalize 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, mobile internet is actively developed, and most mobile phone APP provides a message pushing function. Such as hot news recommendations for news clients, chat message reminders for IM tools, e-commerce product promotional information, notification and approval processes for enterprise applications, and the like. The pushing plays an important role in improving the product activity, improving the utilization rate of the functional module, improving the user viscosity and improving the user retention rate.
In the existing pushing system application, a routing cluster exists, a client accesses an interface of the routing cluster in advance to acquire a routing list, then selects one address, and connects to one 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 messaging is transmitted through the long link. The above is a process performed by a general push system. In the existing push system, basically, each client is kept with a corresponding long link with the server on the basis of unblocked network, so that the deployment of the access service application in the server can estimate the corresponding number of users, and the subsequent server can deploy the related number of access applications. For example, each access service application can support a maximum of 5W of access users, and if the number of users of 100W is estimated, at least 20 access service applications need to be deployed. However, sometimes, when business activities are performed or the product sales are good, the number of users is suddenly increased, so that the burden of a pushing system is large, and normal use is affected; sometimes, users do not use products or the network is not good, and access is performed for some access service applications without corresponding users, which can lead to unreasonable use of resources. Whether a scheme capable of automatically evaluating and analyzing according to histories and real-time quantity and further automatically adjusting resources exists is adopted to solve the problems.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the method and the storage medium for automatically adjusting the resources of the pushing system are provided, so that the resource allocation of the pushing system is more reasonable, and the resource utilization rate is improved.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method for a push system to automatically adjust resources, comprising:
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 resources, executing a capacity expansion strategy, wherein the capacity expansion strategy is to expand the capacity according to a first percentage of the maximum total access number of the latest preset days;
and if the total resource occupation condition of all the access services is lower than the upper limit of the resources and the second percentage of the maximum accessible quantity of the single access service exists, and the total number of the normal service message types sent by the access service is lower than the third percentage of the total number of the message types in the last period, executing a capacity reduction strategy, wherein the capacity reduction strategy is to transfer the client accessing the access service to other access services, and deleting the access service.
The other technical scheme provided by the invention is as follows:
a computer readable storage medium having stored thereon a computer program which, when executed by a processor, is capable of performing the steps comprised in a method for automatically adjusting resources of a push system as described above.
The invention has the beneficial effects that: the invention monitors and analyzes the resource occupation condition of each access service, and combines the historical data and the real-time data to automatically send out the command of expanding or shrinking the capacity of the access service, thereby realizing the automatic expanding/shrinking function given by the push system, effectively improving the resource utilization rate and optimizing the system resource.
Drawings
FIG. 1 is a flow chart of a method for automatically adjusting resources in a pushing system according to an embodiment of the present invention;
fig. 2 is a flow chart of a method for automatically adjusting resources by a push system according to an embodiment of the present invention.
Detailed Description
In order to describe the technical contents, the achieved objects and effects of the present invention in detail, the following description will be made with reference to the embodiments in conjunction with the accompanying drawings.
The most critical concept of the invention is as follows: and monitoring and analyzing the resource occupation condition of each access service, and automatically sending out the command of expanding or shrinking the capacity of the access service by combining the historical data and the real-time data.
Referring to fig. 1, the present invention provides a method for automatically adjusting resources by a push system, which includes:
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 resources, executing a capacity expansion strategy, wherein the capacity expansion strategy is to expand the capacity according to a first percentage of the maximum total access number of the latest preset days;
and if the total resource occupation condition of all the access services is lower than the upper limit of the resources and the second percentage of the maximum accessible quantity of the single access service exists, and the total number of the normal service message types sent by the access service is lower than the third percentage of the total number of the message types in the last period, executing a capacity reduction strategy, wherein the capacity reduction strategy is to transfer the client accessing the access service to other access services, and deleting the access service.
Further, the resource occupation condition comprises memory occupation, CPU, current access quantity and current message sending quantity of each accessed application.
From the above description, the monitored and analyzed data about the details of the resource occupation are sufficiently comprehensive, so that the monitoring result and the regulation of the expansion/contraction capacity are more accurate.
Further, the method further comprises the following steps:
according to the accessed quantity, each access service is arranged in ascending order, and the arrangement result is sent to a routing cluster;
the routing cluster updates the routing address list according to the received arrangement result.
The above description shows that, when the routing clusters allocate the access objects, the routing address list is arranged in ascending order according to the accessed number, so that the routing clusters can more quickly point to the access service with less access number, and the routing clusters can more reasonably and more efficiently allocate the link objects of the clients.
Further, the capacity reduction strategy specifically comprises the following steps:
sending a first capacity reduction command to a routing cluster;
the routing cluster eliminates the address of the access service according to the first capacity-shrinking 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 the client of the access machine according to the second capacity-shrinking command;
the client requests to acquire the latest routing address list from the routing cluster again according to the command;
and deleting the access service when the number of the clients accessing the access service is 0.
As can be seen from the above description, the routing address is proposed first, which can effectively prevent the access of the new client; and then transferring the accessed client, deleting the access service, and enabling the capacity reduction mode to have rationality and integrity.
Further, the upper limit of the resources 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, the setting of the threshold range is more reasonable, and can be used as an effective reference basis for practical use by users.
The other technical scheme provided by the invention is as follows:
a computer readable storage medium having stored thereon a computer program which, when executed by a processor, is capable of performing the steps of a method for automatically adjusting resources of a push system comprising:
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 resources, executing a capacity expansion strategy, wherein the capacity expansion strategy is to expand the capacity according to a first percentage of the maximum total access number of the latest preset days;
and if the total resource occupation condition of all the access services is lower than the upper limit of the resources and the second percentage of the maximum accessible quantity of the single access service exists, and the total number of the normal service message types sent by the access service is lower than the third percentage of the total number of the message types in the last period, executing a capacity reduction strategy, wherein the capacity reduction strategy is to transfer the client accessing the access service to other access services, and deleting the access service.
Further, the resource occupation condition comprises memory occupation, CPU, current access quantity and current message sending quantity of each accessed application.
Further, the method further comprises the following steps:
according to the accessed quantity, each access service is arranged in ascending order, and the arrangement result is sent to a routing cluster;
the routing cluster updates the routing address list according to the received arrangement result.
Further, the capacity reduction strategy specifically comprises the following steps:
sending a first capacity reduction command to a routing cluster;
the routing cluster eliminates the address of the access service according to the first capacity-shrinking 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 the client of the access machine according to the second capacity-shrinking command;
the client requests to acquire the latest routing address list from the routing cluster again according to the command;
and deleting the access service when the number of the clients accessing the access service is 0.
Further, the upper limit of the resources 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 foregoing description, it will be appreciated by those skilled in the art that the foregoing embodiments may be implemented, in whole or in part, by hardware, by a computer program, where the program may be stored on a computer readable storage medium, where the program, when executed, may include the steps of the methods described above. After the flow 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 (Random Access Memory, RAM), or the like.
Example 1
Referring to fig. 2, the present embodiment provides a method for automatically adjusting resources of a push system, which can automatically expand/contract the push system according to historical data and real-time data, thereby improving the utilization rate of the resources and optimizing the system resources.
The method is based on the existing pushing system (the client acquires a route address list by accessing a route address list acquisition interface in a route cluster; according to a set rule, selects one address to establish a long link), and adds the following contents:
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; preferably 15 minutes, not only can avoid frequent statistics from burdening the system, but also can ensure the accuracy of the statistical data.
S2: according to the statistical result of each time, each access service is arranged in ascending order synchronously according to the accessed quantity, and the arrangement result is sent to the routing cluster. That is, each access service is ordered from small to large by the number of accessed clients. The routing cluster updates the routing address list according to the received arrangement result. That is, the routing addresses of the access services in the routing address list are sorted in correspondence with the sorting result.
Therefore, after each statistics is finished, the routing address list is synchronously updated, and the access quantity is arranged in front, so that the routing cluster can quickly direct the clients which subsequently request access to access services with the smaller access quantity, thereby more reasonably distributing the link objects of the access clients and realizing the load balance of the access services 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 condition of all the access services is greater than or equal to a preset upper resource limit according to the statistical result.
The total maximum access number is used as the most critical judgment basis of the total resource occupation condition. Meanwhile, the preset upper limit of resources can be 70-90%, and the resources can be flexibly selected according to actual requirements. This embodiment will be described by taking an example in which the upper limit of resources is 80%.
Assuming a total of 20 access services, each access service having a maximum accessible number of 5W; when the total maximum access number is 80 percent (namely about 80W), the capacity expansion is considered; and the number of the access of the single access application is only about 5% of the maximum accessible number of the single application service, and the capacity reduction processing can be considered.
S4: if yes, executing the capacity expansion strategy.
The capacity expansion strategy is to expand capacity according to a first percentage of the maximum total access number of the latest preset days. The maximum total access number is the maximum total access number of all access services in a preset number of days. Alternatively, the number of days is 3-10 days; the first percentage is 15-50%; the preferred days are 7 days; the first percentage was 25%.
Corresponding to the assumption, 25% of access application capacity expansion operation is performed 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 reordered according to the step S2, so as to realize the load balancing of the access service.
S5: if not, further judging whether the access number is smaller than or equal to the second percentage of the maximum accessible number of the single access service, and judging whether the access service with the total number of the normal service message types sent in the last period being lower than the third percentage of the total number of all the message types (including the heartbeat message type, the service push message type and the like) exists;
if yes, judging the access service as a capacity-shrinking object, and executing a capacity-shrinking 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 shrinking command to a routing cluster, and removing the address of the capacity shrinking object in a routing address list by the routing cluster so as to prevent a new client from accessing; meanwhile, sending a second capacity-shrinking command to a capacity-shrinking object positioned in the access cluster, and sending a command for reestablishing a long link to a client of the access machine (namely an online client on the access machine) by the capacity-shrinking object; after receiving the command, the clients request to acquire the latest routing address list from the routing cluster, and the routing cluster redistributes the linked access service; when the access number of the volume reduction object is 0, the volume reduction object can be deleted. The recovery of resources is realized.
The automatic capacity reduction and expansion operation can be performed automatically according to the number of users, so that the labor is saved, the reasonable utilization rate of resources can be improved, and the system resources are optimized.
Example two
In accordance with the first embodiment of the present invention, a specific application scenario is provided:
assuming a total of 20 access application services, the maximum accessible number of each access application service is 5W, and when 80% of the total maximum access number is generally reached (i.e., about 80W), expansion needs to be considered, and typically, the total number of access applications 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 can be considered.
When the capacity is expanded, that is, according to the statistical analysis result, the total access quantity of all 20 access application services is found to exceed 80W, and the capacity expansion is needed at the moment. The base number for expansion can be selected by self. When the ratio of the capacity expansion condition is 80%, the capacity expansion base number can directly use the total access number of all access application services as the base number because the ratio is already high, and the capacity expansion is about 25% (namely, the capacity expansion is 25 w). In a specific example, when the ratio of the capacity expansion condition is 60%, the capacity expansion is also implemented, and the ratio is not very high, and the capacity expansion base number can use the maximum total access number of the last 7 days in the statistical data as the base number, so that the capacity expansion is about 25%. For example, the maximum total access number in the last 7 days is 80w, and 25% capacity expansion is performed based on the maximum total access number.
By expanding the capacity by setting different expansion base numbers corresponding to the unused duty ratio, the accurate expansion can be realized, so that the expanded capacity meets the requirements more 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 to realize load balancing.
When the capacity is reduced, namely when the total maximum access number does not reach 80% of the total accessible number (namely 80W), meanwhile, the access number of certain 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 the data statistics (namely the statistics data before 15 minutes) of the last moment of the access application services, the proportion of the message sending number of the normal service type to the total message is lower, and the specific proportion can be determined according to the service and is generally about 30%; messages are type-differentiated, typically of the heartbeat message type, traffic push message type, etc. The telescoping operation may be initiated.
And during the capacity shrinking operation, sending a capacity shrinking command to the routing cluster, and removing the routing address of the access application service needing capacity shrinking by the routing cluster to prevent the new client from accessing. Meanwhile, sending a capacity shrinking command to the capacity shrinking application service of the access cluster, and then sending a command for reestablishing new connection to an online client on the access application service; and after receiving the command, the client re-requests the routing cluster to acquire the latest routing address list and establishes long links with other access services. At this time, when the client reacquires the routing address, since the access application service requiring the capacity reduction is already removed from the routing address list, a new client is not accessed into the application requiring the capacity reduction. And when the number of the accesses to the application service which needs to be scaled is 0, the application can be deleted, so that the resource is saved.
Example III
The present embodiment provides a corresponding embodiment one and embodiment two, and provides a computer readable storage medium having a computer program stored thereon, where the program, when executed by a processor, can implement the steps included in the method for automatically adjusting resources in a push system described in the foregoing embodiment one or embodiment two.
In summary, the method and the storage medium for automatically adjusting the resources of the push system provided by the invention can realize automatic resource adjustment of the push system, rationalize resource utilization and optimize resources; the regulation precision is accurate, and the regulation mode is reasonable; further, the access allocation speed and rationality can be improved.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent changes made by the specification and drawings of the present invention, or direct or indirect application in the relevant art, are included in the scope of the present invention.
Claims (3)
1. A method for automatically adjusting resources by a push system, comprising:
counting the resource occupation condition of each access service according to a preset period, wherein the resource occupation condition comprises memory occupation, CPU, current access quantity and current message sending quantity of each accessed application;
according to the accessed quantity, each access service is arranged in ascending order, and the arrangement result is sent to a routing cluster; the routing cluster updates the routing address list according to the received arrangement result;
if the total resource occupation condition of all the access services is greater 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 a first percentage of the maximum total access number of the latest preset days; after capacity expansion, starting access service, and sequencing the sequence of each access service in the route address list according to the ascending order of the accessed quantity to realize load balancing of the access service;
if the total resource occupation condition of all the access services is lower than the upper limit of the resources and the second percentage of the maximum accessible quantity of the single access service exists, executing a capacity reduction strategy for transferring the client accessing the access service to other access services and deleting the access service if the total number of the normal service message types sent by the access service in the previous period is lower than the third percentage of the total number of the message types;
the capacity reduction strategy specifically comprises the following steps:
sending a first capacity reduction command to a routing cluster;
the routing cluster eliminates the address of the access service according to the first capacity-shrinking command so as to prevent a new client from accessing;
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 the client of the access machine according to the second capacity-shrinking command;
the client requests to acquire the latest routing address list from the routing cluster again according to the command;
and deleting the access service when the number of the clients accessing the access service is 0.
2. The method for automatically adjusting resources of a push system according to claim 1, wherein the upper limit of the resources 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%.
3. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, is capable of realizing the steps comprised in a method for automatically adjusting resources of a push system according to any of the preceding claims 1-2.
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