CN113572748A - Resource pre-distribution method and device based on video heat - Google Patents
Resource pre-distribution method and device based on video heat Download PDFInfo
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Abstract
The invention provides a resource pre-distribution method and a device based on video heat, and the scheme comprises the following steps: before a user calls the video resource, calculating based on heat description data and dimension data of the video resource to be distributed to obtain a target distribution ratio and a target distribution time window corresponding to the video resource to be distributed, calculating based on the target distribution ratio and the target distribution time window to obtain a distribution destination and a distribution path of the video resource to be distributed, and distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path, so that pre-distribution of the video resource is realized, the storage energy of the distribution destination is reasonably utilized, the video resource file is preposed, the bandwidth usage of a CDN is reduced, the transmission efficiency of the video resource is improved, the playing speed is optimized, the video playing time is reduced, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of audio and video resource pre-distribution, in particular to a resource pre-distribution method and device based on video heat.
Background
In the existing video-on-demand technology, audio and video resources are deployed in a content server, and the video resources are delivered to an end user via a Content Delivery Network (CDN) service by using a media hosting service. When a user requests a certain video resource, the user equipment of the user initiates a video resource request to the network equipment. In the existing video-on-demand technology based on the P2P network, only when a user requests a certain video resource, the user equipment stores the corresponding content of the video resource, and subsequently shares the video resource with other P2P nodes. Existing video-on-demand technologies based on edge cloud computing can serve as an inexpensive CDN node or a super node in a P2P network to provide video resources and content for users.
For operators of video content, the implementation cost of each approach is different, for example, CDN operators usually charge for peak traffic usage, typically every megabit per second (Mb/s), while edge cloud computing usually calculates the cost in terms of rental duration and bandwidth occupation of a single device, while video resource distribution based on P2P only costs the server expenditure cost corresponding to implementing the P2P function. The cost of distribution also depends on the nature of the distribution method. For example, the distribution of the required video resource content through the CDN network by the unicast transmission method increases the distribution cost in proportion to the number of viewers. While P2P networks are less sensitive to the number of users, cost reductions can be achieved even to a certain extent as the number of users increases. The timeliness and reliability of each distribution method are not completely the same, for example, the timeliness and reliability of the content distribution network are the highest, and the pre-distribution of resources can be completed in only a few minutes. The timeliness and reliability of P2P networks is the worst, and often hours or even days are required to complete the distribution of content. How to maximally utilize the bandwidth and the storage space of each channel and reduce the distribution cost of video resource files is a problem that video content operators need to pay close attention and solve preferentially.
On the other hand, the playing heat of different video resources is different. For example, trending video asset content that is more recently shown or rated and better appreciated by the user may be viewed by the end user with greater probability, which may result in a large number of users requesting and acquiring the trending video asset at the same time, while some cooler, less popular video assets are isolated. Meanwhile, the popularity of the video resource is a real-time dynamically changing attribute, and may change with the increase of time. For example, a video may be popular for a particular time period and less popular for another time period. In addition, video popularity may vary from area to area and from user group to user group, and a popular video in one area and one user group becomes unpopular in another area or another user group. Generally, a video content operator can calculate or estimate the popularity of a video in real time according to indexes such as user watching behaviors, playing histories, comment numbers and the like.
How to reasonably formulate a video resource distribution strategy and a distribution scheme according to the real-time video heat is an important way for improving the distribution efficiency and reducing the distribution cost.
Disclosure of Invention
In view of this, embodiments of the present invention provide a resource pre-distribution method and apparatus based on video popularity, so as to reduce network pressure when a server distributes video data to users.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
a resource pre-distribution method based on video heat comprises the following steps:
acquiring heat description data and dimension data of video resources to be distributed;
calculating a target distribution ratio and a target distribution time window corresponding to the video resource to be distributed based on the heat description data and the dimension data;
determining a distribution destination and a distribution path of the video resource to be distributed based on the target distribution ratio and the target distribution time window;
and distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path, wherein the distribution destination is a network node with a storage function.
Optionally, in the foregoing resource pre-distribution method based on video popularity, the popularity description data includes, but is not limited to, a combination of one or more of a video popularity value, a popularity gradient, a region identifier, and a priority identifier.
Optionally, in the method for pre-distributing resources based on video popularity, after determining the distribution destination and the distribution path of the video resource to be distributed, the method further includes:
acquiring a distribution scheme corresponding to the distribution destination and the distribution path;
the distribution schemes are subjected to priority ranking based on preset indexes corresponding to the distribution schemes;
taking the distribution scheme with the highest priority as a target distribution scheme;
the distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path is specifically to distribute the video resource to be distributed to the distribution destination based on the target distribution scheme.
Optionally, in the method for pre-distributing resources based on video popularity, before the obtaining of popularity description data of the video resources to be distributed, the method further includes:
and calculating to obtain heat description data corresponding to the video resources to be distributed based on the user watching data, the playing history data and the number of the comments corresponding to the video resources to be distributed.
A resource pre-distribution device based on video popularity comprises:
the description data acquisition unit is used for acquiring heat description data and dimension data of the video resource to be distributed;
the first calculation unit is used for calculating a target distribution ratio and a target distribution time window corresponding to the video resource to be distributed based on the heat description data and the dimension data;
a second calculation unit, configured to determine a distribution destination and a distribution path of the video resource to be distributed based on the target distribution ratio and the target distribution time window;
a distribution unit, configured to distribute the video resource to be distributed to the distribution destination based on the distribution destination and a distribution path, where the distribution destination is a network node having a storage function.
Optionally, in the foregoing resource pre-distribution method based on video popularity, the popularity description data includes, but is not limited to, a combination of one or more of a video popularity value, a popularity gradient, a region identifier, and a priority identifier.
Optionally, in the foregoing method for pre-distributing resources based on video popularity, the distribution unit is further configured to:
acquiring a distribution scheme corresponding to the distribution destination and the distribution path;
the distribution schemes are subjected to priority ranking based on preset indexes corresponding to the distribution schemes;
taking the distribution scheme with the highest priority as a target distribution scheme;
the distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path is specifically to distribute the video resource to be distributed to the distribution destination based on the target distribution scheme.
Optionally, in the method for pre-distributing resources based on video popularity, before the description data acquisition unit acquires the popularity description data of the video resources to be distributed, the description data acquisition unit is further configured to:
and calculating to obtain heat description data corresponding to the video resources to be distributed based on the user watching data, the playing history data and the number of the comments corresponding to the video resources to be distributed.
Based on the technical solution, in the solution provided in the embodiment of the present invention, before the user invokes the video resource, the application calculates the target distribution ratio and the target distribution time window corresponding to the video resource to be distributed based on the heat description data and the dimension data of the video resource to be distributed, then, based on the target distribution ratio and the target distribution time window, the distribution destination and the distribution path of the video resource to be distributed are calculated, then distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path, therefore, pre-distribution of video resources is realized, the stored energy of a distribution destination is reasonably utilized, the video resource file is preposed, the bandwidth utilization of the CDN is reduced, the transmission efficiency of the video resources is improved, the playing starting speed is optimized, the video playing pause is reduced, and the user experience is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of a resource pre-distribution method based on video popularity disclosed in an embodiment of the present application;
FIG. 2 is a schematic flowchart of a method for pre-distributing resources based on video popularity according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a hotness description data table disclosed in an embodiment of the present application;
FIG. 4 is a schematic diagram of a resource distribution scheme between network nodes;
FIG. 5 is a flowchart illustrating a method for video popularity-based resource pre-distribution according to another embodiment of the present disclosure;
fig. 6 is a resource distribution topology diagram provided in an embodiment of the present application;
fig. 7 is a schematic structural diagram of a resource pre-distribution apparatus based on video popularity according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Video resource pre-distribution is a technology for pre-distributing video resource files possibly requested by users to a CDN network node, an edge cloud computing node or a P2P network node. Through the video resource pre-distribution technology, congestion caused by a large number of concurrent network requests can be effectively avoided.
In order to solve the above problems in the background art, the present application discloses a resource pre-distribution method based on video heat, an application scenario of which may be shown in fig. 1, where the method includes a video resource folder, a pre-distribution scheduler, an edge cloud network, a CDN network, and a P2P network, and the pre-distribution scheduler is loaded with the resource pre-distribution method based on video heat disclosed in the embodiment of the present application, and after video heat information of a video resource to be distributed is obtained, a series of analysis and calculation are performed based on the information, so as to finally realize pre-distribution of the video resource, which is shown in fig. 2, and the method specifically includes:
step S101: acquiring heat description data and dimension data of video resources to be distributed;
in this scheme, a video resource library may be pre-established, the content in the video resource library is dynamically updated, in this scheme, a video resource to be pre-distributed is called from the video resource library, and of course, all video data corresponding to the server may also be regarded as video data in the video resource library, at this time, all video data corresponding to the server may be video data to be pre-distributed when all video data are possibleWhen a piece of video data needs to be pre-distributed, firstly, the heat description data and the dimension data of the video data need to be acquired, wherein the heat description data refers to data for representing the heat of the video, and for example, the heat description data may include information such as video heat numerical data, heat change gradient data, region identification data, priority identification data, and the like. For a certain video, different groups of users have different popularity. In this scheme, a heat table may be pre-established, the data may be stored in the heat table, and a one-to-one correspondence relationship between the video data and the heat table is established, for example, referring to fig. 2, fig. 2 is an expression form of the heat table provided in the embodiment of the present application, and when this step is executed, it is only necessary to directly retrieve heat description data matching with the video resource to be distributed. According to the information, a real-time heat column vector H ═ H of the video in different user groups can be constructed1，h2，h3，…，hn]Where n represents the number of user groups. When a plurality of videos exist, a real-time heat matrix M ═ H of the videos and the user group can be constructed1，H2，H，...，Hm]Where m represents the number of videos to be distributed, the columns of the matrix represent different user groups, and the rows represent different videos. The matrix represents the current popularity information of different videos grouped at different users.
Similarly, normalized video heat gradient column vector K ═ K of video in different user groups can be constructed1，k2，k3，…，kn]And the normalized heat gradient matrix L ═ H1，H2，H3，...，Hm]. The matrix represents the trend of the heat change of different videos in different user groups.
The dimension data comprises characteristic dimension data of user basic information such as user proportion, interest labels, geographic positions and operators. The data can be obtained by analyzing the existing data such as the IP of the user, the operator information, the collected user information and the like. It is noted that each user has a unique identity and can belong to multiple user groups simultaneously. I.e. users comprised by different groups of usersThere may be overlap. According to the information such as the number of users contained in the user group, the weight normalization vector G ═ G of the user group can be determined1，g2，g3，…，gn，]. In which the sum of the weight components of all user groups is 1, i.e. the constraint is satisfied
According to the preference characteristics and the historical behaviors of the users, a heat transfer matrix I between user groups can be constructedn×n＝{wij}. The matrix is a square matrix with n rows and n columns (n is the number of groups), and the element w of the matrixijRepresenting the heat transfer factor of the users within group i to the users of group j. The actual meaning of the value is the video popularity impact or word-of-mouth delivery of one user group to another user group, since a video always wins a user word-of-mouth first in favor of one or more user groups and then gradually expands to other user groups.
Step S102: calculating a target distribution ratio and a target distribution time window corresponding to the video resource to be distributed based on the heat description data and the dimension data;
in this step, the specific process of calculating the target distribution ratio and the target distribution time window based on the heat description data and the dimension data is as follows:
according to the current heat matrix M, the heat gradient matrix L and the heat transfer matrix I, the video heat matrix M' after t unit time can be calculated. The calculation formula is M' ═ M + tI · L.
And according to the video heat matrix, multiplying the video heat matrix by a pre-distribution coefficient s to obtain a target distribution ratio matrix R 's.M' corresponding to the video resource to be distributed. The predistribution coefficient may be a normal quantity, or may be calculated by some empirical rule or calculation formula. The meaning is the proportionality coefficient of the video heat to the target distribution of the video. In general, the higher the video popularity, the higher the pre-distributed video resource distribution.
We use matrix R to represent the current actual video resource distribution ratio, and the initial value is zero matrix. According to the above-mentioned heat matrix variation formula, the target distribution time window can be defined as how many unit times need to pass from the current time, so that the heat value of the video is 1. That is, it needs to be at [0, t ]]Completes the distribution task of a certain video to a certain target user group in the time window. Because the time period during which the heat value of different videos in different user groups reaches 1 is different. Therefore, a video distribution time window matrix T ═ T can be obtainedijWhere t isijRepresenting the end time of the distribution time window of video i to user packet j.
Step S103: determining a distribution destination and a distribution path of the video resource to be distributed based on the target distribution ratio and the target distribution time window;
in this step, taking the target distribution ratio and the target distribution time window as constraint conditions, a specific process of calculating a distribution destination and a distribution path of the video resource to be distributed is as shown in fig. 6:
take the resource distribution topology shown in fig. 6 as an example. The network topology can be described using directed graphs of graph theory. Where each edge e represents an optional distribution sub-path e. Each distribution sub-path has inherent properties including transmission mode, transmission protocol, bandwidth online, transmission cost and the like. Each alternative path from the source station to the user group may represent a complete distribution path E. Path E typically contains several sub-paths, the distribution path of "source station-CDN operator 1-edge node 2-user group 1" may be denoted as E ═ E1, E4, E11}
Within a given time window, the time window may be divided into several sub-intervals, for example, split in 5 minutes as a minimum unit, and within each minimum unit, the bandwidth upper limit and distribution cost of each path are known. Let umtkRepresenting the bandwidth occupied by the distribution of the video m over a time sub-interval t on the path k, ctkRepresenting the distribution cost over sub-time intervals t on the path k, the total distribution cost of the video can be expressed as
At the same time, the following constraints need to be satisfied:
1) the video needs to be distributed in a given time window, namely the total distribution time t of the video does not exceed the maximum time window for video distribution;
2) the distribution proportion of the video m to the specified user group g is not lower than a preset value;
3) the bandwidth of the distribution path k in the designated sub-time interval t does not exceed the upper limit;
4) the video m is distributed effectively on the distribution sub-path k on the premise that the starting node of the distribution sub-path k has at least one communication path from the source station to the node.
3) The starting distribution time of the same video on one distribution sub-path must not be earlier than the ending distribution time of the last distribution sub-path.
Modeling and solving the problem by the formula and the constraint to obtain a solution which enables the total video distribution cost to be relatively low, and obtaining a required distribution scheme.
Step S104: distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path;
in this step, the delivery destination refers to a network node, which may be one or more of a CDN network node, an edge cloud computing node, a P2P network node, or the like, and reduces CDN bandwidth usage by reasonably utilizing edge cloud node storage and pre-locating a video resource file; by reasonably utilizing the bandwidth of the CDN in idle time, the bandwidth of the CDN can be utilized to the maximum extent on the premise of not increasing the cost, the video resource to be distributed is sent to the distribution destination before the user actively requests the video resource to be distributed to the server, and at the moment, when the video resource calling instruction of the user is obtained, the video resource can be directly distributed to the user from the distribution destination, so that the distribution efficiency of the video resource is improved.
According to the scheme, before a user calls the video resource, a target distribution proportion and a target distribution time window corresponding to the video resource to be distributed are obtained through calculation based on heat description data and dimension data of the video resource to be distributed, then a distribution destination and a distribution path of the video resource to be distributed are obtained through calculation based on the target distribution proportion and the target distribution time window, and then the video resource to be distributed is distributed to the distribution destination based on the distribution destination and the distribution path, so that pre-distribution of the video resource is achieved, storage energy of the distribution destination is reasonably utilized, a video resource file is preposed, CDN bandwidth utilization is reduced, transmission efficiency of the video resource is improved, starting speed is optimized, video playing jam is reduced, and user experience is improved.
In this scheme, referring to fig. 4, a plurality of distribution schemes may be obtained based on the distribution destination and the distribution path, each distribution scheme may include a plurality of resource distribution paths, and each resource distribution path includes a plurality of child nodes and child paths. Each distribution path and sub-path may quantitatively calculate a corresponding distribution cost, and in this scheme, a preferred distribution scheme may be selected to distribute the video resource, and in a specific above scheme, referring to fig. 5, after determining the distribution destination and the distribution path of the video resource to be distributed, the method further includes:
step S201: acquiring a distribution scheme corresponding to the distribution destination and the distribution path;
step S202: the distribution schemes are subjected to priority ranking based on preset indexes corresponding to the distribution schemes;
in the scheme, the distribution schemes are prioritized based on the preset indexes, and the higher the priority is, the higher the possibility of being selected is.
In this scheme, the preset index may refer to a distribution cost, where the distribution cost is calculated based on each distribution path and a sub-path, and the distribution paths are different and the corresponding distribution costs are different.
Step S203: taking the distribution scheme with the highest priority as a target distribution scheme;
in this scheme, the distribution scheme with the highest priority is taken as a target distribution scheme, and when the video resource to be distributed is distributed to the distribution destination based on the distribution destination and the distribution path, the video resource to be distributed is specifically distributed to the distribution destination based on the target distribution scheme.
In the scheme, a video content operator can calculate or estimate heat description data of the video in real time through indexes such as user watching behaviors, playing histories, comment quantity and the like. Therefore, in this scheme, before the obtaining of the heat description data of the video resource to be distributed, the method further includes: and calculating to obtain heat description data corresponding to the video resources to be distributed based on the user watching data, the playing history data and the number of the comments corresponding to the video resources to be distributed.
In the present embodiment, please refer to the content of the above method embodiment, and the following describes the resource pre-distribution apparatus based on video heat according to the present embodiment, where the following description refers to the resource pre-distribution apparatus based on video heat and the above described resource pre-distribution method based on video heat.
Referring to fig. 6, an apparatus for pre-distributing resources based on video popularity disclosed in an embodiment of the present application includes:
a description data acquisition unit 100, corresponding to step S101 in the above method, for acquiring heat description data and dimension data of a video resource to be distributed;
a first calculating unit 200, corresponding to step S102 in the method, for calculating a target distribution ratio and a target distribution time window corresponding to the video resource to be distributed based on the heat description data and the dimension data;
a second calculating unit 300, corresponding to step S103 in the above method, for determining a distribution destination and a distribution path of the video resource to be distributed based on the target distribution fraction and the target distribution time window;
a distribution unit 400, corresponding to step S104 in the above method, for distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path.
The distribution unit is further configured to:
acquiring a distribution scheme corresponding to the distribution destination and the distribution path;
the distribution schemes are subjected to priority ranking based on preset indexes corresponding to the distribution schemes;
taking the distribution scheme with the highest priority as a target distribution scheme;
the distribution unit is specifically configured to, when distributing the video asset to be distributed to the distribution destination based on the distribution destination and the distribution path, distribute the video asset to be distributed to the distribution destination based on the target distribution scheme.
Corresponding to the method, before the description data acquisition unit acquires the heat description data of the video resource to be distributed, the description data acquisition unit is further configured to:
and calculating to obtain heat description data corresponding to the video resources to be distributed based on the user watching data, the playing history data and the number of the comments corresponding to the video resources to be distributed.
For convenience of description, the above system is described with the functions divided into various modules, which are described separately. Of course, the functionality of the various modules may be implemented in the same one or more software and/or hardware implementations of the invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A resource pre-distribution method based on video heat is characterized by comprising the following steps:
acquiring heat description data and user distribution dimension data of a video resource to be distributed;
calculating a target distribution ratio and a target distribution time window corresponding to the video resource to be distributed based on the heat description data and the dimension data;
determining a distribution destination and a distribution path of the video resource to be distributed based on the target distribution ratio and the target distribution time window;
and distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path.
2. The method according to claim 1, wherein the heat description data includes but is not limited to a combination of one or more of video heat value, heat gradient, region identifier and priority identifier.
3. The method for pre-distributing the resources based on the video popularity according to claim 1, wherein after determining the distribution destination and the distribution path of the video resources to be distributed, the method further comprises:
acquiring a distribution scheme corresponding to the distribution destination and the distribution path;
the distribution schemes are subjected to priority ranking based on preset indexes corresponding to the distribution schemes;
taking the distribution scheme with the highest priority as a target distribution scheme;
the distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path is specifically to distribute the video resource to be distributed to the distribution destination based on the target distribution scheme.
4. The method for pre-distributing the resources based on the video popularity according to claim 1, wherein before the obtaining the popularity description data of the video resources to be distributed, the method further comprises:
and calculating to obtain heat description data corresponding to the video resources to be distributed based on the user watching data, the playing history data and the number of the comments corresponding to the video resources to be distributed.
5. A device for pre-distributing resources based on video popularity is characterized by comprising:
the description data acquisition unit is used for acquiring heat description data and dimension data of the video resource to be distributed;
the first calculation unit is used for calculating a target distribution ratio and a target distribution time window corresponding to the video resource to be distributed based on the heat description data and the dimension data;
a second calculation unit, configured to determine a distribution destination and a distribution path of the video resource to be distributed based on the target distribution ratio and the target distribution time window;
a distribution unit configured to distribute the video asset to be distributed to the distribution destination based on the distribution destination and the distribution path.
6. The method according to claim 5, wherein the heat description data includes but is not limited to a combination of one or more of video heat value, heat gradient, region identifier and priority identifier.
7. The video-hotness-based resource pre-distribution method according to claim 5, wherein the distribution unit is further configured to:
acquiring a distribution scheme corresponding to the distribution destination and the distribution path;
the distribution schemes are subjected to priority ranking based on preset indexes corresponding to the distribution schemes;
taking the distribution scheme with the highest priority as a target distribution scheme;
the distributing the video resource to be distributed to the distribution destination based on the distribution destination and the distribution path is specifically to distribute the video resource to be distributed to the distribution destination based on the target distribution scheme.
8. The video-popularity-based resource pre-distribution method according to claim 5, wherein the description data acquisition unit, before acquiring the popularity description data of the video resource to be distributed, is further configured to:
and calculating to obtain heat description data corresponding to the video resources to be distributed based on the user watching data, the playing history data and the number of the comments corresponding to the video resources to be distributed.
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