CN114301843A - Traffic scheduling method and device and storage medium - Google Patents
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Abstract
The embodiment of the application provides a traffic scheduling method and device and a storage medium, and the method comprises the following steps: monitoring resource updating information in a preset time period; determining a version to be updated of the resource according to the resource updating information, and determining a total flow demand corresponding to the version to be updated; predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated; setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters.
Description
Technical Field
The present application relates to the field of electronic applications, and in particular, to a traffic scheduling method and apparatus, and a storage medium.
Background
At present, many services in the internet use Content Delivery Network (CDN) traffic to accelerate Network access, and the charging mode of the CDN traffic is charging according to a peak value of the usage traffic in a day. For internet services, the time of the traffic peak value of each service is uncertain, so that the superposed traffic curve is easy to have peaks and troughs, thereby causing traffic waste. Taking a software store as an example, the usage of CDN traffic is divided into active downloading, active updating, and silent updating. The flow of active downloading and active updating cannot be controlled, and the silent updating can configure a flow scheduling policy.
The current traffic scheduling strategy in the silent update scenario depends on a configuration mode summarized by experience, which causes low flexibility of traffic scheduling and further causes a problem of bandwidth waste.
Disclosure of Invention
The embodiment of the application provides a traffic scheduling method and device and a storage medium, which can improve the flexibility of traffic scheduling and reduce the problem of bandwidth waste.
The technical scheme of the application is realized as follows:
in a first aspect, an embodiment of the present application provides a traffic scheduling method, where the method includes:
monitoring resource updating information in a preset time period; determining a version to be updated of the resource according to the resource updating information, and determining a total flow demand corresponding to the version to be updated;
predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated;
setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters.
In a second aspect, an embodiment of the present application provides a traffic scheduling apparatus, where the apparatus includes:
the monitoring unit is used for monitoring resource updating information in a preset time period;
the determining unit is used for determining a to-be-updated version of the resource according to the resource updating information and determining a total flow demand corresponding to the to-be-updated version;
the prediction unit is used for predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated;
the setting unit is used for setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters.
In a third aspect, an embodiment of the present application provides a traffic scheduling apparatus, where the apparatus includes: a processor and a memory; the processor implements the above traffic scheduling method when executing the running program stored in the memory.
In a fourth aspect, an embodiment of the present application provides a storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the traffic scheduling method.
The embodiment of the application provides a traffic scheduling method, a traffic scheduling device and a storage medium, wherein the method comprises the following steps: monitoring resource updating information in a preset time period; determining a version to be updated of the resource according to the resource updating information, and determining a total flow demand corresponding to the version to be updated; predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated; setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters. By adopting the implementation scheme, when the condition that the resource needs to be updated to the version to be updated is monitored, the traffic use trend corresponding to the version to be updated can be predicted according to the total traffic demand corresponding to the version to be updated and the preset update rate corresponding to the version to be updated, the traffic use trend can reflect the traffic use condition in the process of updating to the version to be updated more accurately, and then the traffic use in the process of updating to the version to be updated can be more stable by setting the traffic scheduling configuration parameters based on the traffic use trend, so that the traffic scheduling flexibility is improved, and the problem of bandwidth waste is reduced.
Drawings
Fig. 1 is a flowchart of a traffic scheduling method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a flow scheduling method in an exemplary scenario of applying silent update according to an embodiment of the present application;
fig. 3 is a first schematic structural diagram of a traffic scheduling apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a traffic scheduling device according to an embodiment of the present application.
Detailed Description
So that the manner in which the features and elements of the present embodiments can be understood in detail, a more particular description of the embodiments, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict. It should also be noted that reference to the terms "first \ second \ third" in the embodiments of the present application is only used for distinguishing similar objects and does not represent a specific ordering for the objects, and it should be understood that "first \ second \ third" may be interchanged with a specific order or sequence where possible so that the embodiments of the present application described herein can be implemented in an order other than that shown or described herein.
An embodiment of the present application provides a traffic scheduling method, and as shown in fig. 1, the method may include:
s101, monitoring resource updating information in a preset time period; and determining the version to be updated of the resource according to the resource updating information, and determining the total flow demand corresponding to the version to be updated of the resource.
The traffic scheduling method provided by the embodiment of the application is suitable for a scene of silent updating of an application or a system.
In this embodiment, the traffic scheduling device corresponding to the traffic scheduling method may be a smart phone, a tablet computer, a palm computer, a Mobile Station (MS), a Mobile Terminal (Mobile Terminal), or the like, and may also be a portable, pocket, handheld, computer-embedded, or vehicle-mounted Mobile device, which exchanges voice and/or data with a radio access network. The wireless communication device may also be a handheld device with a wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a network evolving in the future, and the like, and the implementation of the present application is not limited.
In the embodiment of the present application, after the version to be updated of the resource is put on shelf to the terminal, the resource update information is sent, and the traffic scheduling device monitors the resource update information through a Message Queue (MQ).
In the embodiment of the application, resource updating information in a preset time period is monitored; the preset time period can be preset according to actual conditions, specifically can be selected according to the actual conditions, and the embodiment of the application is not specifically limited. Illustratively, the preset time period is 7 days, and the traffic scheduling device monitors resource update information received within 7 days.
It should be noted that the resource update information includes: application updates and/or system updates. The specific choice can be made according to the actual situation, and the embodiment of the present application is not specifically limited.
It should be noted that the number of the resource update information in the preset time period may be one or more, specifically, the actual reception in the preset time period is taken as a reference, and the embodiment of the present application is not specifically limited.
It should be noted that, if a plurality of resource update information are monitored in a preset time period, a plurality of versions to be updated of a plurality of resources are determined according to the plurality of resource update information, and a plurality of total traffic demands corresponding to the plurality of versions to be updated of the plurality of resources are determined.
In the embodiment of the present application, for each resource update information, the traffic scheduling device determines a version to be updated of the resource according to the resource update information, and determines a total traffic demand corresponding to the version to be updated of the resource.
Specifically, the traffic scheduling device searches historical versions of resources and historical installation times corresponding to each historical version; reading the size of a differential packet between each historical version and the version to be updated; and then determining the total flow demand according to the historical installation times and the size of the differential packet.
In the embodiment of the application, the traffic scheduling device firstly searches the historical versions of the resources, and inquires the historical installation times of each historical version of the resources based on the statistics of big data; the traffic scheduler reads a Remote data service (Redis) of the resource to obtain a differential packet size between each history version of the resource and a version to be updated.
It should be noted that the size of the differential packet between the history version and the version to be updated is the traffic usage size from the history version to the version to be updated.
In the embodiment of the application, the total traffic demand is calculated by using the historical installation times and the differential packet size, specifically, the historical installation times of each historical version and the differential packet size between the historical version and the version to be updated are multiplied to obtain the traffic demand of each historical version updated to the current historical version, and then the traffic demands of each historical version updated to the current historical version are accumulated to obtain the total traffic demand.
And S102, predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated.
In the embodiment of the application, if a plurality of resource updating information is monitored in a preset time period, a plurality of traffic using trends corresponding to a plurality of versions to be updated of a plurality of resources are predicted according to a plurality of traffic total demands corresponding to the plurality of versions to be updated of the plurality of resources and a plurality of preset updating rates corresponding to the plurality of versions to be updated of the plurality of resources; then, overlapping the plurality of flow use trends to obtain a total flow use trend; if a resource updating information is monitored in a preset time period, a traffic use trend corresponding to a version to be updated of a resource is predicted directly according to a traffic total demand corresponding to the version to be updated of the resource and a preset updating rate corresponding to the version to be updated of the resource.
In the embodiment of the application, for the version to be updated of each resource, the preset update rate corresponding to the version to be updated is acquired, and then the traffic usage trend updated to the version to be updated is predicted by using the total traffic demand and the preset update rate corresponding to the version to be updated of each resource.
In this embodiment of the present application, the preset update rate is obtained by statistics based on an hourly update rate, a daily update rate, or a two-hour update rate after the historical version of the resource is shelved, and a specific statistical period of the preset update rate may be selected according to an actual situation, which is not limited in this embodiment of the present application.
For example, in the embodiment of the present application, the formula (1) may be utilized to predict the traffic usage trend of an application update to a version to be updated.
It should be noted that S represents the total traffic demand, r, corresponding to the application update to the version to be updatediRepresenting the update rate of the preset version to be updated every hour after the version to be updated is put on shelf,
and characterizing the traffic use trend of the prediction application updated to the version to be updated. Where i characterizes the predicted future point in time. If the hourly updated flow demand in the future 7 days is predicted, the value of i is [0,168 ]]。
It should be noted that the flow usage trend may be shown in the form of a flow curve, where the abscissa is the future time point and the ordinate is the estimated flow usage value, and the flow curve shown in the coordinate is composed of the estimated flow usage value at each future time point.
In this embodiment of the present application, the process of obtaining the total traffic usage trend by stacking the multiple traffic usage trends may specifically be: and overlapping the estimated traffic utilization values of the multiple resources at the same future time point to obtain the traffic utilization general trend corresponding to the multiple versions to be updated of the multiple resources.
Illustratively, the general traffic usage trend L when a plurality of applications are updated to a corresponding plurality of versions to be updated is calculated by using formula (2).
Wherein K is the number of applications.
S103, setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent updating to the version to be updated according to the traffic scheduling configuration parameters.
In the embodiment of the application, since the flow usage trend can be shown in the form of a flow curve, the flow curve is determined according to the flow usage trend in the application; determining a flow use peak time period and a flow use trough time period from the flow curve; the flow use peak time period is the time period when the estimated flow is used most, so the minimum first flow scheduling configuration parameter is set in the flow use peak time period to reduce the flow use amount in the flow use peak time period; because the flow use trough time interval is the time interval with the least estimated flow use, the maximum second flow scheduling configuration parameter is set in the flow use trough time interval so as to improve the flow use amount of the flow use trough time interval. Thus, the flow curve can be more stable. In the subsequent execution of the silent updating process of the version to be updated, the silent updating is executed based on the minimum traffic scheduling configuration parameter in the traffic using peak period, and the silent updating is executed based on the maximum traffic scheduling configuration parameter in the traffic using valley period. Thereby improving the bandwidth utilization rate and reducing the flow cost.
Based on the foregoing embodiments, an embodiment of the present application provides a traffic scheduling method in a scenario of applying silent update, as shown in fig. 2, the method includes the following specific steps:
1. monitoring applications to be updated on shelf within 7 days through the MQ; acquiring a version to be updated of the application to be updated;
2. querying the historical version of the application to be updated and the historical installation times of each historical version;
3. reading a resource Redis to obtain the size of a differential packet between each historical version and a version to be updated;
4. calculating the total flow demand when the application to be updated is updated to the version to be updated according to the historical installation times of each historical version and the size of the differential packet;
5. predicting a predicted flow use value updated every hour within 7 days after the version to be updated is put on shelf according to the counted preset update rate and total flow demand of the version to be updated every hour after the version to be updated is put on shelf, and obtaining a flow curve of the application to be updated to the version to be updated;
6. superposing the corresponding flow curve of the application on the shelf within 7 days to obtain an estimated flow curve;
7. and setting flow scheduling configuration parameters when the silent updating is applied according to the estimated flow curve.
It can be understood that when it is monitored that the resource needs to be updated to the version to be updated, the traffic use trend corresponding to the version to be updated is predicted according to the total traffic demand corresponding to the version to be updated and the preset update rate corresponding to the version to be updated, the traffic use trend can reflect the traffic use condition in the process of updating to the version to be updated more accurately, and then the traffic use condition in the process of updating to the version to be updated can be more stable by setting the traffic scheduling configuration parameters based on the traffic use trend, so that the traffic scheduling flexibility is improved, and the problem of bandwidth waste is reduced.
The embodiment of the application provides a traffic scheduling device 1. As shown in fig. 3, the traffic scheduling apparatus 1 includes:
a monitoring unit 10, configured to monitor resource update information in a preset time period;
a determining unit 11, configured to determine, according to the resource update information, a to-be-updated version of the resource, and determine a total traffic demand corresponding to the to-be-updated version;
the prediction unit 12 is configured to predict a traffic usage trend corresponding to the version to be updated according to the total traffic demand and a preset update rate corresponding to the version to be updated;
a setting unit 13, configured to set a traffic scheduling configuration parameter according to the traffic usage trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters.
Optionally, the apparatus further comprises: a search unit and a reading unit;
the searching unit is used for searching the historical versions of the resources and the historical installation times corresponding to each historical version;
the reading unit is used for reading the size of the differential packet between each historical version and the version to be updated;
the determining unit 11 is further configured to determine the total traffic demand according to the historical installation times and the differential packet size.
Optionally, the resource update information includes a plurality of resource update information, and the apparatus further includes: a superimposing unit;
the determining unit 11 is further configured to determine a plurality of versions to be updated of the plurality of resources according to the plurality of resource update information, and determine a plurality of total traffic demands corresponding to the plurality of versions to be updated;
the predicting unit 12 is further configured to predict a plurality of traffic usage trends corresponding to the plurality of versions to be updated according to the plurality of total traffic demands and a plurality of preset update rates corresponding to the plurality of versions to be updated;
and the superposition unit is used for superposing the plurality of flow use trends to obtain a total flow use trend.
Optionally, the determining unit 11 is further configured to determine a flow curve according to the flow usage trend; determining a flow usage peak period and a flow usage trough period from the flow curve;
the setting unit 13 is further configured to set a first traffic scheduling configuration parameter at the traffic using peak time period, and set a second traffic scheduling configuration parameter at the traffic using trough time period, where a value of the first traffic scheduling configuration parameter is smaller than a value of the second traffic scheduling configuration parameter.
Optionally, the resource update information includes: application updates and/or system updates.
The traffic scheduling device provided by the embodiment of the application acquires resource updating information monitored in a preset time period; determining a version to be updated of the resource according to the resource updating information, and determining a total flow demand corresponding to the version to be updated; predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated; setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters. Therefore, when it is monitored that the resource needs to be updated to the version to be updated, the traffic scheduling device provided in this embodiment predicts the traffic usage trend corresponding to the version to be updated according to the total traffic demand corresponding to the version to be updated and the preset update rate corresponding to the version to be updated, and the traffic usage trend can more accurately reflect the traffic usage situation in the process of updating to the version to be updated, and then sets the traffic scheduling configuration parameter based on the traffic usage trend so that the traffic usage in the process of updating to the version to be updated is more stable, thereby improving the flexibility of traffic scheduling and reducing the problem of bandwidth waste.
Fig. 4 is a schematic diagram of a composition structure of a traffic scheduling apparatus 1 according to an embodiment of the present application, and in practical applications, based on the same disclosure concept of the foregoing embodiment, as shown in fig. 4, the traffic scheduling apparatus 1 according to the present embodiment includes: a processor 14, a memory 15, and a communication bus 16.
In a Specific embodiment, the monitoring unit 10, the determining unit 11, the predicting unit 12, the setting unit 13, the searching unit, the reading unit and the superimposing unit may be implemented by a Processor 14 located on the flow scheduling Device 1, and the Processor 14 may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic image Processing Device (PLD), a Field Programmable Gate Array (FPGA), a CPU, a controller, a microcontroller and a microprocessor. It is understood that the electronic device for implementing the above-mentioned processor function may be other devices, and the embodiment is not limited in particular.
In the embodiment of the present application, the communication bus 16 is used for realizing connection communication between the processor 14 and the memory 15; the processor 14 implements the following traffic scheduling method when executing the operating program stored in the memory 15:
monitoring resource updating information in a preset time period; determining a version to be updated of the resource according to the resource updating information, and determining a total flow demand corresponding to the version to be updated; predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated; setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters.
Further, the processor 14 is further configured to search historical versions of the resource and historical installation times corresponding to each historical version; reading the size of a differential packet between each historical version and the version to be updated; and determining the total flow demand according to the historical installation times and the size of the differential packet.
Further, the resource update information includes a plurality of resource update information,
further, the processor 14 is further configured to determine a plurality of versions to be updated of the plurality of resources according to the plurality of resource update information, and determine a plurality of total traffic demands corresponding to the plurality of versions to be updated; predicting a plurality of traffic use trends corresponding to the plurality of versions to be updated according to the plurality of traffic total demands and a plurality of preset update rates corresponding to the plurality of versions to be updated; and superposing the plurality of flow use trends to obtain a total flow use trend.
Further, the processor 14 is further configured to determine a flow curve according to the flow usage trend; determining a flow usage peak period and a flow usage trough period from the flow curve; setting a first traffic scheduling configuration parameter at the traffic using peak time period, and setting a second traffic scheduling configuration parameter at the traffic using trough time period, wherein the value of the first traffic scheduling configuration parameter is smaller than that of the second traffic scheduling configuration parameter.
Further, the resource update information includes: application updates and/or system updates.
The embodiment of the present application provides a storage medium, on which a computer program is stored, where the computer readable storage medium stores one or more programs, and the one or more programs are executable by one or more processors and applied to a traffic scheduling apparatus, and the computer program implements the traffic scheduling method as described above.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling an image display device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present disclosure.
The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application.
Claims (10)
1. A traffic scheduling method, characterized in that the method comprises:
monitoring resource updating information in a preset time period; determining a version to be updated of the resource according to the resource updating information, and determining a total flow demand corresponding to the version to be updated;
predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated;
setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters.
2. The method according to claim 1, wherein the determining the total traffic demand corresponding to the update to the version to be updated includes:
searching the historical versions of the resources and the historical installation times corresponding to each historical version;
reading the size of a differential packet between each historical version and the version to be updated;
and determining the total flow demand according to the historical installation times and the size of the differential packet.
3. The method according to claim 1, wherein the resource update information includes a plurality of resource update information, and the determining, according to the resource update information, a to-be-updated version of a resource and a total traffic demand corresponding to the update to the to-be-updated version are determined; the method comprises the following steps:
determining a plurality of versions to be updated of a plurality of resources according to the plurality of resource updating information, and determining a plurality of total flow demands corresponding to the plurality of versions to be updated;
the predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated includes:
predicting a plurality of traffic use trends corresponding to the plurality of versions to be updated according to the plurality of traffic total demands and a plurality of preset update rates corresponding to the plurality of versions to be updated;
and superposing the plurality of flow use trends to obtain a total flow use trend.
4. The method according to claim 1, wherein the setting of traffic scheduling configuration parameters according to the traffic usage trend comprises:
determining a flow curve according to the flow use trend;
determining a flow usage peak period and a flow usage trough period from the flow curve;
setting a first traffic scheduling configuration parameter at the traffic using peak time period, and setting a second traffic scheduling configuration parameter at the traffic using trough time period, wherein the value of the first traffic scheduling configuration parameter is smaller than that of the second traffic scheduling configuration parameter.
5. The method of claim 1, wherein the resource update information comprises: application updates and/or system updates.
6. An apparatus for traffic scheduling, the apparatus comprising:
the monitoring unit is used for monitoring resource updating information in a preset time period;
the determining unit is used for determining a to-be-updated version of the resource according to the resource updating information and determining a total flow demand corresponding to the to-be-updated version;
the prediction unit is used for predicting the traffic use trend corresponding to the version to be updated according to the total traffic demand and the preset update rate corresponding to the version to be updated;
the setting unit is used for setting flow scheduling configuration parameters according to the flow use trend; and executing subsequent operation of updating to the to-be-updated version of the resource according to the traffic scheduling configuration parameters.
7. The apparatus of claim 6, further comprising: a search unit and a reading unit;
the searching unit is used for searching the historical versions of the resources and the historical installation times corresponding to each historical version;
the reading unit is used for reading the size of the differential packet between each historical version and the version to be updated;
the determining unit is further configured to determine the total traffic demand according to the historical installation times and the differential packet size.
8. The apparatus of claim 6, wherein the resource update information comprises a plurality of resource update information, the apparatus further comprising: a superimposing unit;
the determining unit is further configured to determine multiple versions to be updated of multiple resources according to the multiple resource update information, and determine a plurality of total traffic demands corresponding to the multiple versions to be updated;
the prediction unit is further configured to predict a plurality of traffic usage trends corresponding to the plurality of versions to be updated according to the plurality of total traffic demands and a plurality of preset update rates corresponding to the plurality of versions to be updated;
and the superposition unit is used for superposing the plurality of flow use trends to obtain a total flow use trend.
9. An apparatus for traffic scheduling, the apparatus comprising: a processor and a memory; the processor, when executing the execution program stored in the memory, implements the method of any of claims 1-5.
10. A storage medium on which a computer program is stored, which computer program, when being executed by a processor, carries out the method according to any one of claims 1-5.
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