CN113453043B - Video scheduling optimization method and device, computer equipment and storage medium - Google Patents
Video scheduling optimization method and device, computer equipment and storage medium Download PDFInfo
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- CN113453043B CN113453043B CN202010227632.7A CN202010227632A CN113453043B CN 113453043 B CN113453043 B CN 113453043B CN 202010227632 A CN202010227632 A CN 202010227632A CN 113453043 B CN113453043 B CN 113453043B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/238—Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
- H04N21/23805—Controlling the feeding rate to the network, e.g. by controlling the video pump
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/239—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests
- H04N21/2393—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests involving handling client requests
Abstract
The embodiment of the invention provides a video scheduling optimization method, a video scheduling optimization device, computer equipment and a storage medium. In the technical scheme provided by the embodiment of the invention, a video measurement report sent by user equipment is received, wherein the video measurement report comprises a video state of a video and a video type of the video; generating the current speed of the video according to the video state and the video type; according to the video type and the current speed, the video is scheduled and optimized, so that the video service can be identified quickly and accurately, the video resource can be scheduled efficiently, and the user experience is improved.
Description
[ technical field ] A method for producing a semiconductor device
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for optimizing video scheduling, a computer device, and a storage medium.
[ background of the invention ]
With the rapid development of video services, more and more video services are provided in a Long Term Evolution (LTE) network, user experience requirements are continuously improved, and requirements on effectiveness and reliability of data transmission are higher, so that identification and scheduling optimization of video services are very important.
In the prior art, a flow model identification mode is adopted, and identification is performed by combining two characteristics, namely a flow characteristic and a server identifier of a video application, but the method can influence the experience of opening a video by a user to a certain extent, the speed of identifying a video service is low, and the efficiency of scheduling video resources is low.
[ summary of the invention ]
In view of this, embodiments of the present invention provide a video scheduling optimization method, apparatus, computer device and storage medium, which can quickly and accurately identify a video service and efficiently schedule video resources.
In one aspect, an embodiment of the present invention provides a video scheduling optimization method, where the method includes:
receiving a video measurement report sent by user equipment, wherein the video measurement report comprises a video state of a video and a video type of the video;
generating the current speed of the video according to the video state and the video type;
and performing scheduling optimization on the video according to the type and the current rate of the video.
Optionally, before receiving the video measurement report sent by the user equipment, the method further includes:
sending a system information block to the user equipment, wherein the system information block comprises the capability of supporting video on demand negotiation;
receiving capability reporting information sent by user equipment;
judging whether the capability reporting information comprises the capability of supporting the video on demand negotiation;
and if the capability reporting information is judged to comprise the capability of supporting the video on demand negotiation, sending a reconfiguration message to the user equipment so that the user equipment can generate a video measurement report according to the reconfiguration message.
Optionally, after sending the reconfiguration message to the user equipment, the method further includes:
and receiving a confirmation reconfiguration message sent by the user equipment.
Optionally, the video state comprises an initial buffering state or a steady-state playing state; generating a current rate of the video according to the video state and the video type, wherein the current rate comprises the following steps:
judging whether the video state comprises an initial buffering state or not;
if the video state is judged to comprise the initial buffering state, inquiring the average video code rate corresponding to the video type from a preset video code rate table;
multiplying a preset target rate ratio by a predetermined code rate ratio to calculate a multiplication result;
and multiplying the multiplication result by the average video code rate to generate the current rate of the video.
Optionally, the preset video bitrate table includes multiple video types, and an average video bitrate and a maximum video bitrate corresponding to each video type; before multiplying the preset target rate ratio by the predetermined code rate ratio, the method further comprises:
dividing the maximum video code rate corresponding to each video type by the average video code rate to generate a plurality of initial ratios;
and determining the maximum value of the plurality of initial ratios as the code rate ratio.
Optionally, the method further comprises:
if the video state is judged to comprise a steady-state playing state, inquiring an average video code rate corresponding to the video type from a preset video code rate table;
and multiplying the preset target rate ratio by the average video code rate to generate the current rate of the video.
Optionally, performing scheduling optimization on the video according to the video type and the current rate, including:
inquiring the maximum video code rate corresponding to the video type from a preset video code rate table;
judging whether the current rate is smaller than the maximum video code rate;
and if the current rate is smaller than the maximum video code rate, transmitting the scheduling resource with the specified step length to the user equipment so that the user equipment can load the video according to the scheduling resource with the specified step length and continue to execute the step of receiving the video measurement report transmitted by the user equipment.
In another aspect, an embodiment of the present invention provides a video scheduling optimization apparatus, including:
the receiving unit is used for receiving a video measurement report sent by user equipment, wherein the video measurement report comprises a video state of a video and a video type of the video;
the first generation unit is used for generating the current speed of the video according to the video state and the video type;
and the optimization unit is used for scheduling and optimizing the video according to the type and the current rate of the video.
On the other hand, an embodiment of the present invention provides a storage medium, where the storage medium includes a stored program, and when the program runs, a device where the storage medium is located is controlled to execute the above video scheduling optimization method.
In another aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory is used to store information including program instructions, and the processor is used to control execution of the program instructions, where the program instructions are loaded and executed by the processor to implement the above-mentioned video scheduling optimization method.
In the scheme of the embodiment of the invention, a video measurement report sent by user equipment is received, wherein the video measurement report comprises a video state of a video and a video type of the video; generating the current speed of the video according to the video state and the video type; according to the video type and the current speed, the video is scheduled and optimized, so that the video service can be identified quickly and accurately, the video resource can be scheduled efficiently, and the user experience is improved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a video scheduling optimization method according to an embodiment of the present invention;
fig. 2 is a flowchart of another video scheduling optimization method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a video scheduling optimization apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a computer device according to an embodiment of the present invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the description of the invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship.
It should be understood that although the terms first, second, etc. may be used to describe the set thresholds in the embodiments of the present invention, the set thresholds should not be limited to these terms. These terms are used only to distinguish set thresholds from one another. For example, the first set threshold may also be referred to as the second set threshold, and similarly, the second set threshold may also be referred to as the first set threshold, without departing from the scope of embodiments of the present invention.
Fig. 1 is a flowchart of a video scheduling optimization method according to an embodiment of the present invention, as shown in fig. 1, the method includes:
And 102, generating the current speed of the video according to the video state and the video type.
And 103, scheduling and optimizing the video according to the video type and the current rate.
In the technical scheme provided by the embodiment of the invention, a video measurement report sent by user equipment is received, wherein the video measurement report comprises a video state of a video and a video type of the video; generating the current speed of the video according to the video state and the video type; according to the video type and the current speed, the video is scheduled and optimized, so that the video service can be identified quickly and accurately, the video resource can be scheduled efficiently, and the user experience is improved.
Fig. 2 is a flowchart of another video scheduling optimization method according to an embodiment of the present invention, and as shown in fig. 2, the method includes:
In this embodiment, each step is executed by the base station.
Optionally, the SIB comprises SIB1, namely: and sending SIB1 to the user equipment, wherein SIB1 comprises capability of supporting VOD negotiation.
In this embodiment, the capability reporting information is a capability supported by the ue, for example: the capability reporting information comprises the capability of supporting VOD negotiation.
In this embodiment, if it is determined that the capability reporting information includes the capability supporting VOD negotiation, it indicates that capability negotiation with the user equipment is possible, and step 204 is continuously performed; if the capability reporting information does not support the VOD negotiation capability, it indicates that the capability negotiation with the user equipment cannot be performed, and the method is not suitable for the video scheduling optimization method provided by the embodiment of the present invention, and the process is ended.
And step 204, sending a reconfiguration message to the user equipment so that the user equipment can generate a video measurement report according to the reconfiguration message.
In this embodiment, a reconfiguration message is sent to the user equipment to notify the user equipment that VOD is available, and the user equipment generates a video measurement report according to the reconfiguration message.
Further, after receiving the reconfiguration message, the user equipment sends a confirmation reconfiguration message to the base station to inform the base station of confirming the reconfiguration.
In the embodiment, the base station and the user equipment perform capability negotiation, the VOD capability supported by the user equipment is fully considered, the actual experience of the user is effectively guaranteed, and the method has good practicability.
In this embodiment, the user equipment sends a video measurement report to the base station through a Communication Private Signal (CPS) according to a specified time period.
In this embodiment, the video state includes an initial buffering state or a steady-state playing state. Wherein, the appointed time period can be set according to the actual situation.
In this embodiment, the video type of the video includes one of 360P, 480P, 720P, and 1080P.
In this embodiment, if it is determined that the video state includes the initial buffering state, indicating that the rate guarantee of the video service should be performed according to the method of the initial buffering state, step 207 is executed; if the video state is determined not to include the initial buffering state, indicating that the video state includes the steady-state playing state, the rate of the video service should be guaranteed according to the method of the steady-state playing state, and step 212 is executed.
And step 207, inquiring the average video code rate and the maximum video code rate corresponding to the video type from a preset video code rate table.
In this embodiment, the preset video bitrate table includes multiple video types, and an average video bitrate and a maximum video bitrate corresponding to each video type. For example: the preset video code rate table is shown in table 1.
TABLE 1
| Type of video | Average video code rate (Kbps) | Maximum video code rate (Kbps) |
| 360P | 590 | 800 |
| 480P | 1500 | 2500 |
| 720P | 2400 | 4000 |
| 1080P | 6000 | 8000 |
And step 208, dividing the maximum video code rate corresponding to each video type by the average video code rate to generate a plurality of initial ratios.
Taking the video rate table shown in table 1 as an example, dividing the maximum video rate 800 corresponding to the video type of 360P by the average video rate 590 to generate a first initial ratio of 1.36 (two bits after the decimal point are reserved); dividing the maximum video code rate 2500 corresponding to the video type 480P by the average video code rate 1500 to generate a second initial ratio of 1.67 (two digits after the decimal point are reserved); dividing the maximum video code rate 4000 corresponding to the video type 720P by the average video code rate 2400 to generate a third initial ratio of 1.48 (two digits after the decimal point is reserved); the maximum video bitrate 8000 corresponding to the video type of 1080P is divided by the average video bitrate 6000 to generate a fourth initial ratio of 1.33 (two digits after the decimal point are reserved).
For example: the first initial ratio is 1.36, the second initial ratio is 1.67, the third initial ratio is 1.48, and the fourth initial ratio is 1.33, wherein the maximum value is 1.67, and thus 1.67 is determined as the code rate ratio.
In this embodiment, the maximum value of the initial ratios is determined as the bitrate ratio, which can ensure that the video bitrate of the video at the initial buffering stage reaches the maximum value, thereby smoothly completing the buffering.
In this embodiment, the target rate ratio is calculated according to the average video code rate corresponding to the video type multiplied by the set parameter value. Wherein, the parameter value can be set in a designated range according to actual conditions. The smaller the parameter value is, the smaller the scheduling weight is, the higher the video blocking probability is, and the smaller the influence on the background business is; the larger the parameter value is, the larger the scheduling weight is, the smaller the video seizure probability is, and the larger the influence on the background service is. The scheduling weight is the ratio of the scheduling resources available for the user equipment in the current cell to all the scheduling resources.
Alternatively, the specified range is 0.1 to 10.
And step 211, multiplying the multiplication result by the average video code rate to generate the current rate of the video, and continuing to execute step 214.
And step 212, inquiring the average video code rate corresponding to the video type from a preset video code rate table.
In this embodiment, the preset video bitrate table includes multiple video types, and an average video bitrate and a maximum video bitrate corresponding to each video type. For example: the preset video rate table is shown in table 1, and will not be described herein.
In this embodiment, the target rate ratio is calculated according to the average video code rate corresponding to the video type multiplied by the set parameter value. Wherein, the parameter value can be set in a designated range according to actual conditions. The smaller the parameter value is, the smaller the scheduling weight is, the higher the video blocking probability is, and the smaller the influence on the background business is; the larger the parameter value is, the larger the scheduling weight is, the smaller the video seizure probability is, and the larger the influence on the background service is. The scheduling weight is the ratio of the scheduling resources available for the user equipment in the current cell to all the scheduling resources.
Alternatively, the specified range is 0.1 to 10.
In this embodiment, the maximum video rate corresponding to the video type is a rate that ensures that the video of the video type can smoothly complete buffering and keep stable playing.
in this embodiment, if it is determined that the current rate is smaller than the maximum video rate, it indicates that the scheduling resource of the user equipment needs to be adjusted, and step 216 is continuously performed; if the current rate is judged to be greater than or equal to the maximum video code rate, the rate that the video can smoothly complete buffering and stable playing at the current rate is indicated, the scheduling resource of the user equipment does not need to be adjusted, and the process is ended.
In this embodiment, the specified step size may be set according to actual conditions.
Specifically, the base station encapsulates the scheduling resource with the specified step length to generate an encapsulation packet; sending the encapsulation packet to the user equipment; the user equipment decodes the encapsulated packet to generate scheduling resources; the user equipment loads the video according to the scheduling resources and proceeds to step 205.
In the technical scheme of the video scheduling optimization method provided by the embodiment of the invention, a video measurement report sent by user equipment is received, wherein the video measurement report comprises a video state of a video and a video type of the video; generating the current speed of the video according to the video state and the video type; according to the video type and the current speed, the video is scheduled and optimized, so that the video service can be identified quickly and accurately, the video resource can be scheduled efficiently, and the user experience is improved.
Fig. 3 is a schematic structural diagram of a video scheduling optimization apparatus according to an embodiment of the present invention, the apparatus is configured to execute the video scheduling optimization method, and as shown in fig. 3, the apparatus includes: a receiving unit 11, a first generating unit 12 and an optimizing unit 13.
The receiving unit 11 is configured to receive a video measurement report sent by a user equipment, where the video measurement report includes a video status of a video and a video type of the video.
The first generating unit 12 is used for generating the current rate of the video according to the video state and the video type.
The optimization unit 13 is configured to perform scheduling optimization on the video according to the video type and the current rate.
In the embodiment of the present invention, the apparatus further includes: a transmitting unit 14 and a judging unit 15.
The sending unit 14 is configured to send a system information block to the user equipment, where the system information block includes capability of supporting video-on-demand negotiation; and if the capability reporting information comprises the capability supporting the video on demand negotiation, sending a reconfiguration message to the user equipment so that the user equipment can generate a video measurement report according to the reconfiguration message.
The receiving unit 11 is further configured to receive capability reporting information sent by the user equipment.
The judging unit 15 is configured to judge whether the capability reporting information includes capability supporting video on demand negotiation.
In this embodiment of the present invention, the receiving unit 11 is further configured to receive a confirmation reconfiguration message sent by the user equipment.
In this embodiment of the present invention, the first generating unit 12 is specifically configured to determine whether the video state includes an initial buffering state; if the video state is judged to comprise the initial buffering state, inquiring the average video code rate corresponding to the video type from a preset video code rate table; multiplying a preset target rate ratio by a predetermined code rate ratio to calculate a multiplication result; and multiplying the multiplication result by the average video code rate to generate the current rate of the video.
In the embodiment of the present invention, the apparatus further includes: a second generation unit 16 and a determination unit 17.
The second generating unit 16 is configured to divide the maximum video rate corresponding to each video type by the average video rate to generate a plurality of initial ratios.
The determining unit 17 is configured to determine a maximum value of the plurality of initial ratios as the code rate ratio.
In the embodiment of the present invention, the apparatus further includes: a query unit 18 and a third generation unit 19.
The query unit 18 is configured to query an average video bitrate corresponding to the video type from a preset video bitrate table if the first generation unit 12 determines that the video state includes a steady-state playing state.
The third generating unit 19 is configured to multiply the preset target rate ratio by the average video rate to generate the current rate of the video.
In the embodiment of the present invention, the optimizing unit 13 is specifically configured to query a maximum video bitrate corresponding to the video type from a preset video bitrate table; judging whether the current rate is smaller than the maximum video code rate or not; and if the current rate is smaller than the maximum video code rate, sending the scheduling resource with the specified step length to the user equipment so that the user equipment loads the video according to the scheduling resource with the specified step length, and triggering the receiving unit 11 to continue to execute the step of receiving the video measurement report sent by the user equipment.
In the scheme of the embodiment of the invention, a video measurement report sent by user equipment is received, wherein the video measurement report comprises a video state of a video and a video type of the video; generating the current speed of the video according to the video state and the video type; according to the video type and the current speed, the video is scheduled and optimized, so that the video service can be identified quickly and accurately, the video resource can be scheduled efficiently, and the user experience is improved.
An embodiment of the present invention provides a storage medium, where the storage medium includes a stored program, where, when the program runs, a device on which the storage medium is located is controlled to execute each step of the above-described embodiment of the video scheduling optimization method, and for specific description, reference may be made to the above-described embodiment of the video scheduling optimization method.
Embodiments of the present invention provide a computer device, including a memory and a processor, where the memory is used to store information including program instructions, and the processor is used to control execution of the program instructions, and the program instructions are loaded and executed by the processor to implement the steps of the above-mentioned embodiment of the video scheduling optimization method, and specific descriptions may refer to the above-mentioned embodiment of the video scheduling optimization method.
Fig. 4 is a schematic diagram of a computer device according to an embodiment of the present invention. As shown in fig. 4, the computer device 30 of this embodiment includes: a processor 31, a memory 32, and a computer program 33 stored in the memory 32 and capable of running on the processor 31, wherein the computer program 33 is implemented by the processor 31 to implement the data processing method applied in the embodiment, and therefore, for avoiding repetition, detailed descriptions thereof are omitted here. Alternatively, the computer program is executed by the processor 31 to implement the functions of each model/unit applied in the video scheduling optimization apparatus in the embodiments, and in order to avoid repetition, the descriptions thereof are omitted here.
The computer device 30 includes, but is not limited to, a processor 31, a memory 32. Those skilled in the art will appreciate that fig. 4 is merely an example of a computer device 30 and is not intended to limit the computer device 30 and that it may include more or fewer components than shown, or some components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.
The processor 31 may be a Central Processing Unit (CPU), other general purpose processor, a Digital signal processor (DP), an Application specific Integrated Circuit (AIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 32 may be an internal storage unit of the computer device 30, such as a hard disk or a memory of the computer device 30. The memory 32 may also be an external storage device of the computer device 30, such as a plug-in hard disk provided on the computer device 30, a smart Memory Card (MC), a secure Digital (D) Card, a flash Card (Flah Card), and the like. Further, the memory 32 may also include both internal and external storage units of the computer device 30. The memory 32 is used for storing computer programs and other programs and data required by the computer device. The memory 32 may also be used to temporarily store data that has been output or is to be output.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A method for video scheduling optimization, the method comprising:
receiving a video measurement report sent by user equipment, wherein the video measurement report comprises a video state of a video and a video type of the video;
generating the current speed of the video according to the video state and the video type;
performing scheduling optimization on the video according to the video type and the current rate;
the video state comprises an initial buffering state or a steady-state playing state; the generating the current rate of the video according to the video state and the video type comprises:
judging whether the video state comprises an initial buffering state or not;
if the video state is judged to comprise an initial buffering state, inquiring an average video code rate corresponding to the video type from a preset video code rate table;
multiplying a preset target rate ratio by a predetermined code rate ratio to calculate a multiplication result, wherein the code rate ratio represents the maximum value in the ratios of the maximum video code rate and the average video code rate of various video types;
and multiplying the multiplication result by the average video code rate to generate the current rate of the video.
2. The video scheduling optimization method according to claim 1, wherein before receiving the video measurement report sent by the user equipment, the method further comprises:
sending a system information block to user equipment, wherein the system information block comprises the capability of supporting video on demand negotiation;
receiving capability reporting information sent by user equipment;
judging whether the capability reporting information comprises the capability of supporting video on demand negotiation;
and if the capability reporting information is judged to comprise the capability of supporting the video on demand negotiation, sending a reconfiguration message to the user equipment so that the user equipment can generate a video measurement report according to the reconfiguration message.
3. The video scheduling optimization method according to claim 2, further comprising, after sending the reconfiguration message to the user equipment:
and receiving a confirmation reconfiguration message sent by the user equipment.
4. The video scheduling optimization method according to claim 1, wherein the preset video bitrate table includes a plurality of video types and an average video bitrate and a maximum video bitrate corresponding to each video type; before multiplying the preset target rate ratio by the predetermined code rate ratio, the method further comprises:
dividing the maximum video code rate corresponding to each video type by the average video code rate to generate a plurality of initial ratios;
determining a maximum value of the plurality of initial ratios as a code rate ratio.
5. The video scheduling optimization method of claim 1, wherein the method further comprises:
if the video state is judged to comprise a steady-state playing state, inquiring an average video code rate corresponding to the video type from a preset video code rate table;
and multiplying the preset target rate ratio by the average video code rate to generate the current rate of the video.
6. The method of claim 1, wherein the performing scheduling optimization on the video according to the video type and the current rate comprises:
inquiring the maximum video code rate corresponding to the video type from a preset video code rate table;
judging whether the current rate is smaller than the maximum video code rate;
and if the current rate is smaller than the maximum video code rate, sending the scheduling resource with the specified step length to user equipment so that the user equipment loads the video according to the scheduling resource with the specified step length and continues to execute the step of receiving the video measurement report sent by the user equipment.
7. An apparatus for video scheduling optimization, the apparatus comprising:
the device comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving a video measurement report sent by user equipment, and the video measurement report comprises a video state of a video and a video type of the video;
the first generation unit is used for generating the current speed of the video according to the video state and the video type;
the optimization unit is used for carrying out scheduling optimization on the video according to the video type and the current rate;
the first generating unit is specifically configured to:
judging whether the video state comprises an initial buffering state or not;
if the video state is judged to comprise an initial buffering state, inquiring an average video code rate corresponding to the video type from a preset video code rate table;
multiplying a preset target rate ratio by a predetermined code rate ratio to calculate a multiplication result, wherein the code rate ratio represents the maximum value in the ratios of the maximum video code rate and the average video code rate of various video types;
and multiplying the multiplication result by the average video code rate to generate the current rate of the video.
8. A storage medium, comprising a stored program, wherein when the program runs, a device on which the storage medium is located is controlled to execute the video scheduling optimization method according to any one of claims 1 to 6.
9. A computer device comprising a memory for storing information including program instructions and a processor for controlling the execution of the program instructions, wherein the program instructions are loaded and executed by the processor to implement the video schedule optimization method of any one of claims 1 to 6.
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