CN116723339B - Content data distribution method and device, storage medium and electronic equipment - Google Patents

Content data distribution method and device, storage medium and electronic equipment Download PDF

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Publication number
CN116723339B
CN116723339B CN202311009363.7A CN202311009363A CN116723339B CN 116723339 B CN116723339 B CN 116723339B CN 202311009363 A CN202311009363 A CN 202311009363A CN 116723339 B CN116723339 B CN 116723339B
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China
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user
group
content distribution
distribution platform
content
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CN116723339A (en
Inventor
吴波
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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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
    • H04N21/21—Server components or server architectures
    • H04N21/218—Source of audio or video content, e.g. local disk arrays
    • H04N21/2181—Source of audio or video content, e.g. local disk arrays comprising remotely distributed storage units, e.g. when movies are replicated over a plurality of video servers
    • 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
    • H04N21/21—Server components or server architectures
    • H04N21/218—Source of audio or video content, e.g. local disk arrays
    • H04N21/2187—Live feed
    • 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
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4661—Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Graphics (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The application discloses a content data distribution method and device, a storage medium and electronic equipment. Wherein the method comprises the following steps: receiving user index data sent by each user in a plurality of user groups, dividing the plurality of user groups into a first user group and a second user group according to the user index data, and respectively configuring a content distribution platform for distributing content data for the first user group and the second user group according to a first content distribution platform of which the deterministic cost ratio parameters meet preset cost performance conditions and a second content distribution platform of which the content distribution capacity related to target parameters meet preset index conditions in the plurality of content distribution platforms according to the user index data. The method and the device can be applied to the field of pushing content data, and solve the technical problem of low content data distribution efficiency caused by incapability of pertinently setting different content distribution platforms for different user groups.

Description

Content data distribution method and device, storage medium and electronic equipment
Technical Field
The present application relates to the field of computers, and in particular, to a method and apparatus for distributing content data, a storage medium, and an electronic device.
Background
With the continuous development of audio and video technologies, internet live broadcast has become a part of people's daily production and life, and application providers provide transmission services for cloud service providers with better performance through selecting the cloud service providers, so that the business experience of users is improved. For example, in an audio/video live broadcast service, if a user can experience a live broadcast service with less blocking and lower time delay, the online time length of the user is higher, so that the probability of converting into service benefits is higher.
The existing CDN manufacturer selection scheme mainly adjusts the flow distribution share of the next stage in a round-robin or regional demarcation mode based on the total score of each manufacturer in the past period, and key indexes affecting user experience in each user group cannot be fully reflected; moreover, for the user group with generally better service experience, the method of round robin and region demarcation is difficult to realize balance of performance benefit and traffic overhead.
Therefore, the related art cannot accurately optimize the limited factors of the user group with poor service experience, so that the long tail effect of the service as a whole is more prominent, and when the CDN manufacturer is selected for the user group with always better service performance, the balance of the performance gain and the flow cost cannot be fully considered, so that the real user experience is not considered in the selection mode of the content distribution platform in the related art, and the technical problem that the distribution efficiency of the content data is difficult to guarantee is caused.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the application provides a content data distribution method and device, a storage medium and electronic equipment, which at least solve the technical problem of low content data distribution efficiency caused by incapability of setting different content distribution platforms for different user groups in a targeted manner.
According to an aspect of an embodiment of the present application, there is provided a distribution method of content data, including: receiving user index data sent by each user in a plurality of user groups, wherein the user index data is used for evaluating service experience of one user for one piece of content data, the one piece of content data is distributed to the one user by one content distribution platform in a plurality of content distribution platforms, and the content data distribution capacity of each content distribution platform is positively related to resource expense; dividing the plurality of user groups into a first user group and a second user group according to the user index data, wherein the service experience of the first user group is better than that of the second user group; determining a first content distribution platform and a second content distribution platform from the plurality of content distribution platforms according to the user index data, wherein the first content distribution platform comprises a content distribution platform with a cost performance parameter meeting a preset cost performance condition, the value of the cost performance parameter is positively correlated with the content data distribution capability and negatively correlated with the resource expense, the second content distribution platform comprises a content distribution platform with platform index data meeting a preset index condition, the platform index data is used for evaluating the content distribution capability of the content distribution platform relative to a target parameter, and the target parameter represents a user parameter with the influence degree of the service experience of users in the second user group meeting the preset influence condition; the first group of users is configured to distribute content data through the first content distribution platform and the second group of users is configured to distribute content data through the second content distribution platform.
According to another aspect of the embodiment of the present application, there is also provided a distribution apparatus of content data, including: the system comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving user index data sent by each user in a plurality of user groups, wherein the user index data is used for evaluating the service experience of one user for one piece of content data, the one piece of content data is distributed to the one user by one content distribution platform in a plurality of content distribution platforms, and the content data distribution capacity of each content distribution platform is positively correlated with resource expense; the dividing module is used for dividing the plurality of user groups into a first user group and a second user group according to the user index data, wherein the service experience of the first user group is better than that of the second user group; a determining module, configured to determine a first content distribution platform and a second content distribution platform from the plurality of content distribution platforms according to the user index data, where the first content distribution platform includes a content distribution platform whose cost performance parameter satisfies a preset cost performance condition, a value of the cost performance parameter is positively correlated with the content data distribution capability and is negatively correlated with the resource overhead, and the second content distribution platform includes a content distribution platform whose platform index data satisfies a preset index condition, where the platform index data is used to evaluate the content distribution capability of the content distribution platform with respect to a target parameter, and the target parameter represents a user parameter whose influence degree on service experience of users in the second user group satisfies a preset influence condition; and the configuration module is used for configuring the first user group to distribute content data through the first content distribution platform and configuring the second user group to distribute content data through the second content distribution platform.
Optionally, the apparatus is configured to divide the plurality of user groups into a first user group and a second user group according to the user index data by: determining a plurality of group index data corresponding to each user group in the plurality of user groups according to the user index data, wherein the group index data represents an average value of the user index data of each user in the corresponding user group; and arranging the plurality of group index data in a descending order to obtain the first user group and the second user group, wherein the first user group comprises A user groups with the group index data being ranked at the front, the second user group comprises B user groups with the group index data being ranked at the rear, the sum of the number of the groups of the first user group and the number of the groups of the second user group does not exceed the total number of the groups of the plurality of user groups, and A, B is a natural number.
Optionally, the device is further configured to: determining a third user group according to the first user group and the second user group when the sum of the group number of the first user group and the group number of the second user group is smaller than the total group number of the plurality of user groups, wherein the third user group is other user groups except the first user group and the second user group in the plurality of user groups; acquiring a plurality of distribution index data corresponding to the plurality of content distribution platforms one by one, wherein the distribution index data are used for evaluating the content data distribution capacity of the corresponding content distribution platform; determining a third content distribution platform according to the plurality of distribution index data, wherein the third content distribution platform is a content distribution platform of which the distribution index data meets preset distribution index conditions; the third group of users is configured to distribute content data through the third content distribution platform.
Optionally, the device is further configured to: dividing the third user group into a plurality of user subgroups according to a predetermined dividing ratio, wherein the plurality of user subgroups comprise a first user subgroup, a second user subgroup and a third user subgroup, the number of groups of the first user subgroup is larger than the number of groups of the second user subgroup, and the number of groups of the second user subgroup is larger than the number of groups of the third user subgroup; determining the third content distribution platform with the first distribution index data rank, the third content distribution platform with the second distribution index data rank and the third content distribution platform with the third distribution index data rank according to the plurality of distribution index data; configuring the first subgroup of users to distribute content data through the third content distribution platform whose distribution index data is first ranked; configuring said second subgroup of users to distribute content data through said third content distribution platform of which said distribution index data is second ranked; the third subgroup of users is configured to distribute content data through the third content distribution platform whose distribution index data ranks third.
Optionally, the device is further configured to: acquiring a plurality of user parameter sets sent by each user in a target user group, wherein different user parameters in each user parameter set are commonly used for determining the user index parameters of the corresponding user, and the plurality of user groups comprise the target user group; determining a plurality of service experience levels according to the plurality of user parameter sets, wherein each service experience level is used for indicating the service experience of a corresponding user relative to the target user group; and configuring a target user to distribute content data through the first content distribution platform or the second content distribution platform according to a target service experience level, wherein the service experience levels comprise the target service experience level, and the target service experience level corresponds to the target user.
Optionally, the apparatus is configured to determine a plurality of service experience levels according to the plurality of user parameter sets by: determining a plurality of user index data corresponding to each user one by one according to the plurality of user parameter sets; determining the service experience levels according to the sorting positions of the user index data in the user index data, wherein the service experience levels comprise a first level, a second level and a third level, the first level represents that the user index data associated with the corresponding user is located in the first N pieces of the user index data, the second level represents that the user index data of the corresponding user is located in the last M pieces of the user index data, the third level represents that the corresponding user is other users except the users corresponding to the first level and the second level in the target user group, the sum of the number of the users of the first level and the number of the users of the second level is smaller than the total number of the users of the target user group, and N, M is a natural number.
Optionally, the apparatus is configured to configure the target user to distribute content data through the first content distribution platform or the second content distribution platform according to a target business experience level by: configuring the target user to distribute content data through the first content distribution platform in the case that the target service experience level is the first level; and configuring the target user to distribute content data through the second content distribution platform under the condition that the target service experience level is the second level.
Optionally, the device is further configured to: determining a sorting index set according to a target user parameter set corresponding to the target user and the plurality of user parameter sets under the condition that the target service experience level is the third level, wherein each sorting index in the sorting index set is used for representing the sorting position of each user parameter in the target user parameter set in the plurality of user parameter sets; determining target user parameters meeting preset sorting conditions according to the sorting index set, and determining a fourth content distribution platform based on the target user parameters, wherein the fourth content distribution platform comprises a content distribution platform meeting preset distribution capability conditions after sorting the distribution capability of the target user parameters; the target user is configured to distribute content data through the fourth content distribution platform.
Optionally, the device is further configured to: configuring the target user to distribute content data through the first content distribution platform, in a case where the second user group includes the target user group and the business experience level of the target user is the first level; in the case where the first user group includes the target user group and the business experience level of the target user is the second level, the target user is configured to distribute content data through the second content distribution platform.
Optionally, the device is further configured to: determining a third user group according to the first user group and the second user group when the sum of the group number of the first user group and the group number of the second user group is smaller than the total group number, wherein the third user group is other user groups except the first user group and the second user group in the plurality of user groups; configuring the target user to distribute content data through the first content distribution platform, in a case where the third user group includes the target user group and the business experience level of the target user is the first level; in the case where the third group of users includes the target group of users and the level of business experience of the target user is the second level, the target user is configured to distribute content data through the second content distribution platform.
Optionally, the apparatus is configured to configure the first user group to distribute content data through the first content distribution platform and configure the second user group to distribute content data through the second content distribution platform by: acquiring group service experience level identifiers of the first user group and the second user group, wherein the group service experience level identifiers are determined by the user index data; and sending the first positioning information corresponding to the first content distribution platform to a domain name system associated with the first user group according to the group service experience grade identification, and sending the second positioning information corresponding to the second content distribution platform to a domain name system associated with the second user group, wherein the domain name system is used for responding to a content data request message sent by a terminal device and forwarding the content data corresponding to the first content distribution platform or the second content distribution platform to the terminal device.
According to still another aspect of the embodiments of the present application, there is also provided a computer-readable storage medium having a computer program stored therein, wherein the computer program is configured to execute the above-described content data distribution method when run.
According to yet another aspect of embodiments of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions so that the computer device performs the distribution method of the content data as above.
According to still another aspect of the embodiments of the present application, there is also provided an electronic device including a memory in which a computer program is stored, and a processor configured to execute the above-described distribution method of content data by the computer program.
In the embodiment of the application, user index data sent by each user in a plurality of user groups are received, wherein the user index data is used for evaluating the service experience of a user for one piece of content data, one piece of content data is distributed to one user by one content distribution platform in the plurality of content distribution platforms, the content data distribution capacity of each content distribution platform is positively correlated with resource expense, the plurality of user groups are divided into a first user group and a second user group according to the user index data, the service experience of the first user group is superior to the service experience of the second user group, the first content distribution platform and the second content distribution platform are determined from the plurality of content distribution platforms according to the user index data, the first content distribution platform comprises a content distribution platform with the cost performance parameter meeting a preset cost performance condition, the cost performance parameter is positively correlated with the content data distribution capacity and is negatively correlated with the resource expense, the second content distribution platform comprises a content distribution platform with the platform index data meeting a target index condition, the index data is used for evaluating the platform, the service experience of the first user group is superior to the service experience of the second user group, the second user group is superior to the service experience of the second user group is influenced by the preset content distribution condition, and the second user group is distributed by the second user group, and the service experience of the second user group is better than the first user group is better than the second user group. On the basis, the first content distribution platform and the second content distribution platform are determined by screening and evaluating cost performance parameters and platform index data of a plurality of content distribution platforms. Finally, the user group with excellent service experience is configured to distribute content data through the first content distribution platform, and the user group with poor service experience is configured to distribute content data through the second content distribution platform, so that the purposes of optimizing content distribution strategies and improving user experience according to requirements of different user groups are achieved, the technical effects of improving content data distribution efficiency and optimizing user experience on the content data are achieved, and further the technical problem that different content distribution platforms cannot be set for different user groups in a targeted manner, and the content data distribution efficiency is low is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a schematic view of an application environment of an alternative content data distribution method according to an embodiment of the present application;
FIG. 2 is a flow chart of an alternative method of distributing content data according to an embodiment of the application;
FIG. 3 is a schematic diagram of an alternative method of distributing content data according to an embodiment of the present application;
FIG. 4 is a schematic diagram of yet another alternative method of distribution of content data according to an embodiment of the present application;
FIG. 5 is a schematic diagram of yet another alternative distribution method of content data according to an embodiment of the present application;
FIG. 6 is a schematic diagram of yet another alternative method of distribution of content data according to an embodiment of the present application;
fig. 7 is a schematic diagram of yet another alternative distribution method of content data according to an embodiment of the present application;
FIG. 8 is a schematic diagram of yet another alternative distribution method of content data according to an embodiment of the present application;
fig. 9 is a schematic diagram of still another alternative distribution method of content data according to an embodiment of the present application;
Fig. 10 is a schematic diagram of still another alternative distribution method of content data according to an embodiment of the present application;
FIG. 11 is a schematic diagram of yet another alternative distribution method of content data according to an embodiment of the present application;
fig. 12 is a schematic structural view of an alternative content data distribution apparatus according to an embodiment of the present application;
FIG. 13 is a schematic diagram of the structure of an alternative distributed product of content data according to an embodiment of the present application;
fig. 14 is a schematic structural view of an alternative electronic device according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, partial terms or terminology appearing in the course of describing the embodiments of the application are applicable to the following explanation:
TCP: transport Control Protocol, transmission control protocol;
QUIC: quick UDP Internet Connection, fast UDP internet connection;
QoE: quality of Experience, (user) quality of experience;
QoS: quality of Services, quality of service;
RTT: rround-Trip Time, round Trip delay;
IP: internet Protocol, internet protocol;
DNS: domain Name System, domain name system.
The application is illustrated below with reference to examples:
according to an aspect of the embodiment of the present application, there is provided a distribution method of content data, optionally, in this embodiment, the distribution method of content data described above may be applied to a hardware environment constituted by the server 101 and the terminal device 103 as shown in fig. 1. As shown in fig. 1, a server 101 is connected to a terminal 103 through a network, and may be used to provide services to a terminal device or an application installed on the terminal device, which may be a video application, an instant messaging application, a browser application, an educational application, a game application, or the like. The database 105 may be provided on or separate from the server for providing data storage services for the server 101, such as a game data storage server, which may include, but is not limited to: a wired network, a wireless network, wherein the wired network comprises: local area networks, metropolitan area networks, and wide area networks, the wireless network comprising: bluetooth, WIFI and other wireless communication networks, the terminal device 103 may be a terminal configured with an application program, and may include, but is not limited to, at least one of the following: mobile phones (such as Android mobile phones, iOS mobile phones, etc.), notebook computers, tablet computers, palm computers, MID (Mobile Internet Devices ), PAD, desktop computers, smart televisions, smart voice interaction devices, smart home appliances, vehicle terminals, aircrafts, virtual Reality (VR) terminals, augmented Reality (Augmented Reality, AR) terminals, mixed Reality (MR) terminals, and other computer devices, where the servers may be a single server, a server cluster composed of multiple servers, or a cloud server.
As shown in fig. 1, the above-described content data distribution method may be implemented at the terminal device 103 by:
s1, receiving user index data sent by each user in a plurality of user groups on terminal equipment 103, wherein the user index data is used for evaluating service experience of one user for one piece of content data, one piece of content data is distributed to one user by one content distribution platform in a plurality of content distribution platforms, and the content data distribution capacity of each content distribution platform is positively related to resource expense;
s2, dividing the plurality of user groups into a first user group and a second user group according to user index data on the terminal equipment 103, wherein the service experience of the first user group is better than that of the second user group;
s3, determining a first content distribution platform and a second content distribution platform from a plurality of content distribution platforms according to user index data on a terminal device 103, wherein the first content distribution platform comprises a content distribution platform with cost performance parameters meeting preset cost performance conditions, the value of the cost performance parameters is positively correlated with content data distribution capacity and negatively correlated with resource expense, the second content distribution platform comprises a content distribution platform with platform index data meeting preset index conditions, the platform index data is used for evaluating the content distribution capacity of the content distribution platform relative to target parameters, and the target parameters represent user parameters with influence degrees on service experience of users in a second user group meeting preset influence conditions;
S4, the first user group is configured to distribute content data through the first content distribution platform and the second user group is configured to distribute content data through the second content distribution platform on the terminal device 103.
Alternatively, in the present embodiment, the above-described distribution method of content data may also be implemented by a server, for example, in the server 101 shown in fig. 1; or by both the terminal device and the server.
The above is merely an example, and the present embodiment is not particularly limited.
Cloud technology (Cloud technology) is based on the general terms of network technology, information technology, integration technology, management platform technology, application technology and the like applied by Cloud computing business models, and can form a resource pool, so that the Cloud computing business model is flexible and convenient as required. Cloud computing technology will become an important support. Background services of technical networking systems require a large amount of computing, storage resources, such as video websites, picture-like websites, and more portals. Along with the high development and application of the internet industry, each article possibly has an own identification mark in the future, the identification mark needs to be transmitted to a background system for logic processing, data with different levels can be processed separately, and various industry data needs strong system rear shield support and can be realized only through cloud computing.
Cloud storage (cloud storage) is a new concept that extends and develops in the concept of cloud computing, and a distributed cloud storage system (hereinafter referred to as a storage system for short) refers to a storage system that integrates a large number of storage devices (storage devices are also referred to as storage nodes) of various types in a network to work cooperatively through application software or application interfaces through functions such as cluster application, grid technology, and a distributed storage file system, so as to provide data storage and service access functions for the outside.
At present, the storage method of the storage system is as follows: when creating logical volumes, each logical volume is allocated a physical storage space, which may be a disk composition of a certain storage device or of several storage devices. The client stores data on a certain logical volume, that is, the data is stored on a file system, the file system divides the data into a plurality of parts, each part is an object, the object not only contains the data but also contains additional information such as a data Identification (ID) and the like, the file system writes each object into a physical storage space of the logical volume, and the file system records storage position information of each object, so that when the client requests to access the data, the file system can enable the client to access the data according to the storage position information of each object.
The process of allocating physical storage space for the logical volume by the storage system specifically includes: physical storage space is divided into stripes in advance according to the set of capacity measures for objects stored on a logical volume (which measures tend to have a large margin with respect to the capacity of the object actually to be stored) and redundant array of independent disks (RAID, redundant Array of Independent Disk), and a logical volume can be understood as a stripe, whereby physical storage space is allocated for the logical volume.
Optionally, as an optional embodiment, as shown in fig. 2, the method for distributing content data includes:
s202, receiving user index data sent by each user in a plurality of user groups, wherein the user index data is used for evaluating service experience of one user for one piece of content data, one piece of content data is distributed to one user by one content distribution platform in a plurality of content distribution platforms, and the content data distribution capacity of each content distribution platform is positively correlated with resource expense;
alternatively, in this embodiment, the plurality of user groups may include, but are not limited to, user groups generated by dividing according to an area, province, region, operator, access mode, etc. where the user terminal is located, each user group is associated with a plurality of content distribution platforms, and the content distribution method provided by the present application selects a suitable content distribution platform to distribute content data.
Alternatively, in the present embodiment, the above-described individual users refer to individual users in each user group, and the above-described user index data may be understood as index data for evaluating a business experience with respect to one piece of content data, for example, scoring.
Fig. 3 is a schematic diagram illustrating an alternative method for distributing content data according to an embodiment of the present application, where, as shown in fig. 3, when a suitable cloud service provider (CDN vendor) is selected, a "multi-provider policy" is adopted, that is, a corresponding proportion of traffic is allocated according to the quality of service experience of the client under each cloud service provider; for example, 50% of audio and video live broadcast traffic is distributed to cloud service providers with optimal performance; distributing 1/3 of audio and video live broadcast flow for cloud service providers with 'suboptimal' performance; distributing 1/6 of audio and video live traffic to a cloud service provider with a third performance ranking, and in order to evaluate the performance of the CDN manufacturer, an application provider often calculates and obtains a final Score (named score_CDN_i) of each CDN manufacturer according to a plurality of client indexes; the client indexes (corresponding to the user index data) comprise a first frame length, an end-to-end delay, a streaming success rate, a blocking duration, a number of times and the like.
It should be noted that, the user index data may be determined through a service experience message pkt_qoe sent by a user, where the pkt_qoe includes QoE data related to the user in a process of experiencing content data, and pkt_qoe refers to quality experience of a network data packet, and may be measured by various indexes, such as time delay, packet loss rate, packet jitter, and the like. The indexes can help to evaluate the performance of the network and the experience of the user, namely, the indexes of parameters such as the first frame time delay, the streaming success rate, the end-to-end time delay, the audio and video clamping duration, the times and the like are used for scoring the experience process of the primary content data.
Alternatively, in this embodiment, the content delivery platform may be understood as various CDN vendors, which refer to companies or organizations that provide Content Delivery Network (CDN) services. CDNs are a technology that improves web site performance and availability by caching and delivering content across multiple servers worldwide. CDN vendors typically provide infrastructure and technology to help customers speed up delivery of their websites, applications, video, and other online content.
Illustratively, fig. 4 is a schematic diagram of another alternative method for distributing content data according to an embodiment of the present application, as shown in fig. 4, the user index data is essentially related to a propagation flow of content data once, that is, the execution subject is an application provider, and the user index data is respectively related to a sending subject (user terminal) and a receiving subject (CDN provider) of content data once, so that the user index data can also be used to evaluate content distribution capability of a content distribution platform in the propagation flow of content data once.
It should be noted that, the foregoing content data delivery capability is directly related to resource overhead, and taking the content delivery platform as an example of a CDN vendor, it may be understood that the CDN vendor needs to input a large amount of resources, such as servers, storage, bandwidth, etc., to provide an efficient, fast, and stable content delivery service. As an application provider, a considerable amount of virtual resources need to be transferred to the CDN vendor to implement the use of the CDN vendor to deliver content data to the user terminal, and as the content data delivery capability is enhanced, the CDN vendor needs to input more resources to support the capability, so as to ensure that the user can obtain a good experience. Therefore, when designing and operating CDN services, it is necessary to trade off the relationship between resource overhead and content data delivery capability to achieve optimal cost performance.
In an exemplary embodiment, the user index data is used to evaluate the user's business experience on the content data, and the user's experience is very important in the content distribution process. Only if the experience of the user on the content data is good, the stable and sustainable development of the content distribution platform can be ensured. By receiving user index data sent by each user in the plurality of user groups, the user's business experience of the content data can be evaluated. In practical applications, there are often multiple user groups sending index data to the content distribution platform at the same time. Such index data may come from different regions, different network environments, different devices, etc. The method comprises the steps of receiving index data sent by each user in a plurality of user groups, processing and analyzing the data to determine the resource cost of each content distribution platform and the content data distribution capacity thereof in the content distribution process, and comparing and analyzing the resource cost and the content distribution capacity of different content distribution platforms to select a proper content distribution platform for each user group so as to improve the service experience of the user on the content data.
S204, dividing the plurality of user groups into a first user group and a second user group according to the user index data, wherein the service experience of the first user group is better than that of the second user group;
optionally, in this embodiment, the service experience includes, but is not limited to, an average value of user index data of each user in a group. The service experience of the first user group is better than that of the second user group, which can be understood as that one or more of average delay, average packet loss rate and average packet jitter of the first user group are better than those of the second user group.
Experience of different user groups is accurately known, and different strategies are adopted for the different user groups, so that overall service benefit is improved.
In an exemplary embodiment, the method and the system can be used for improving user experience of a client and reducing cost of an application provider, and the application provider periodically detects an overall service experience index of each user group and a service experience index of each cloud service provider in the user group, so that for the user group with better service experience, a cloud service provider capable of considering service price and service benefit is selected to provide service for the user group; for a user group with poor service experience, screening out key limited indexes influencing the service experience, and selecting a cloud service provider capable of obviously optimizing the limited indexes to provide services for the user group. By formulating differentiated cloud service selection strategies aiming at the levels of different user group service experiences, namely selecting a cloud service provider which gives consideration to service price and service income to the user group with better performance all the time, selecting a cloud service provider which can remarkably improve limited indexes to the user group with poorer performance all the time, the problem that differentiated optimization cannot be executed aiming at different service experience groups in the existing network traffic scheduling process is solved, the integral optimization of service experience in an audio and video live broadcast scene is enhanced, and the income of an application service provider is improved.
S206, determining a first content distribution platform and a second content distribution platform from a plurality of content distribution platforms according to user index data, wherein the first content distribution platform comprises a content distribution platform with cost performance parameters meeting preset cost performance conditions, the value of the cost performance parameters is positively correlated with content data distribution capacity and negatively correlated with resource expense, the second content distribution platform comprises a content distribution platform with platform index data meeting preset index conditions, the platform index data is used for evaluating the content distribution capacity of the content distribution platform relative to target parameters, and the target parameters represent user parameters with influence degrees on service experience of users in the second user group meeting preset influence conditions;
optionally, in this embodiment, the first content distribution platform may be understood as a platform with the most suitable cost performance parameter for the first user group, and since the service experience of the first user group is better, selecting a content distribution platform with a slightly weaker content distribution capability has less influence on the service experience of the user in the first user group, however, selecting a content distribution platform with a slightly weaker content distribution capability may effectively reduce the cost of using the content distribution platform, so that the benefit of the application provider can be improved.
It should be noted that, the cost performance parameter may be understood as a cost performance score representing a cost performance value of each content distribution platform relative to the first user group, and the preset cost performance condition may be understood as a cost performance condition associated with the first user group, that is, for the first user group, a cost performance parameter of each content distribution platform is calculated, and a content platform whose cost performance parameter satisfies the preset cost performance condition is selected as the first content distribution platform.
The value of the cost performance parameter is positively correlated with the content data distribution capability, and is negatively correlated with the resource cost, which can be understood as that the higher the content data distribution capability of the content distribution platform is, the lower the resource cost is, the higher the value of the cost performance parameter is.
In one exemplary embodiment, analysis is performed on user index data to determine a first content distribution platform from among a plurality of content distribution platforms and solve the related technical problem. The cost performance parameter refers to a cost performance value of the content distribution platform, wherein the cost performance value is positively related to content data distribution capacity and negatively related to resource expense.
Specifically, the user index data is analyzed, and the first content distribution platform meeting the preset condition is screened out according to the cost performance parameters. For example, an optimal cost performance platform is determined by comparing the cost performance parameter values of different platforms.
Optionally, in this embodiment, the above-mentioned second content distribution platform may be understood as a platform that is most adapted to a part of parameters of the second user group, and because the service experience of the second user group is overall poor, a main reason that causes the service experience of the second user group to be poor is determined first, where the main reason is used to indicate a specific target parameter, that is, because the target parameter is poor, and thus causes the service experience of the second user group to be overall poor, and at this time, a content distribution platform that is optimal for the content distribution capability of the target parameter is selected, so as to purposefully improve the service experience of the user in the second user group.
It should be noted that, the above-mentioned platform index data is used for evaluating the content distribution capability of the content distribution platform about the target parameter, where the target parameter represents the user parameter whose influence degree on the service experience of the user in the second user group meets the preset influence condition. Screening out a second content distribution platform meeting preset conditions through the platform index data. For example, by comparing distribution capabilities of different content distribution platforms with respect to target parameters, a content distribution platform satisfying a preset index condition is selected.
Optionally, in this embodiment, the platform index data includes, but is not limited to, index data indicating that the content delivery platform is specific to a parameter, for example, a certain CDN vendor serves 100 users, and the first frame delay of the 100 users is higher than that of other CDN vendors serving the 100 users, where the CDN vendor is the content delivery platform whose platform index data meets the preset index condition.
It should be noted that the target parameter may be understood as one or more parameters for determining the above user index data, that is, may be a first frame delay, a streaming success rate, an end-to-end delay, an audio/video clip duration and number of times, and the like.
Of course, when the target parameter includes a plurality of target parameters, the target parameters may be weighted based on preset weights to determine a content distribution platform in which the indexes more satisfy preset index conditions among the content distribution platforms.
The above-mentioned influence degree may be understood as the influence degree of the target parameter on the user index data, for example, the target parameter is a parameter of the second user group with the worst rank among the user groups.
In an exemplary embodiment, the application provider locates in the second user group the key QoE metrics (corresponding to the aforementioned target parameters) affecting its traffic experience, and the specific locating method is as follows:
S1, respectively counting ranking conditions of QoE indexes (namely sub_score_1, sub_score_2, sub_score_3, sub_score_4 and sub_score_5) of a second user group in all user groups;
s2, if a certain sub_score_i is named after c% in all user groups, the QoE is considered as a limited index (QoE_limited) of service experience of a second user group; wherein c defaults to 10;
s3, the application provider screens out CDN manufacturers capable of remarkably improving the QoE_limited index from all CDN manufacturers, and selects the CDN manufacturers for the second user group:
s3-1, the application provider respectively counts the scores of QoE (quality of experience) such as the instant frame time delay, the streaming success rate, the end-to-end time delay, the audio and video cartoon duration and times of each CDN manufacturer in the past period, namely sub_score_1, sub_score_2, sub_score_3, sub_score_4 and sub_score_5;
s3-2, the application provider selects a CDN manufacturer with the highest sub_score_i score from the CDN manufacturers, wherein the sub_score_i corresponds to the QoE_limited index; for example, if qoe_limited of the second user group is audio/video clip long, the CDN vendor with the highest sub_score_4 score is selected to provide audio/video live broadcast service for the second user group.
S208, configuring the first user group to distribute content data through the first content distribution platform, and configuring the second user group to distribute content data through the second content distribution platform.
Alternatively, in this embodiment, the configuration process may include, but is not limited to, dividing the user groups according to different service experience levels, and selecting an appropriate content distribution platform according to the divided user groups.
As shown in fig. 4, the application provider may send the CDN vendor selected for the user group with different service experience levels to the DNS system, and after receiving the domain name query message sent by the user in the group, the DNS system locates, according to the message carrying pkt_mark, information of the CDN vendor selected by the application provider, and replies the information to the user terminal, so as to facilitate content data distribution to the user terminal through the CDN vendor selected by the application provider.
In an exemplary embodiment, fig. 5 is a schematic diagram of yet another alternative method of distributing content data according to an embodiment of the present application, as shown in fig. 5, including, but not limited to, the steps of:
s502, the application provider detects the service performance of each user group and CDN manufacturer;
S504, dividing the service experience level of the user group and the internal user;
s506, judging whether the user group is a user group with better experience;
s508, if the judgment result in the step S506 is negative, judging whether the user group is a user group with poor experience;
s510, selecting CDN manufacturers with better performance and executing step S516 under the condition that the judgment result of the step S508 is yes;
s512, if the judgment result in the step S508 is negative, selecting CDN manufacturers according to the service performance experience according to the proportion, and executing a step S516;
s514, if the judgment result in the step S506 is yes, the CDN manufacturer is selected at the same time of service cost, and the step S516 is executed;
s516, CDN manufacturer selects result to send down to DNS system;
s518, the DNS system replies the selected CDN manufacturer according to the Pkt_mark in the message.
By the embodiment, the user index data sent by each user in a plurality of user groups is received, wherein the user index data is used for evaluating the service experience of one user for one piece of content data, one piece of content data is distributed to one user by one content distribution platform in a plurality of content distribution platforms, the content data distribution capacity of each content distribution platform is positively correlated with resource expense, the plurality of user groups are divided into a first user group and a second user group according to the user index data, the service experience of the first user group is better than the service experience of the second user group, the first content distribution platform and the second content distribution platform are determined from the plurality of content distribution platforms according to the user index data, the first content distribution platform comprises a content distribution platform with the cost performance parameters meeting the preset cost performance condition, the value of the cost performance parameter is positively correlated with the content data distribution capability and negatively correlated with the resource expense, the second content distribution platform comprises a content distribution platform with platform index data meeting preset index conditions, the platform index data are used for evaluating the content distribution capability of the content distribution platform relative to target parameters, the target parameters represent user parameters with the influence degree of the service experience of users in the second user group meeting the preset influence conditions, the first user group is configured to distribute the content data through the first content distribution platform, the second user group is configured to distribute the content data through the second content distribution platform, and the user groups are classified into at least two types with good service experience and poor service experience through analysis of the user index data. On the basis, the first content distribution platform and the second content distribution platform are determined by screening and evaluating cost performance parameters and platform index data of a plurality of content distribution platforms. Finally, the user group with excellent service experience is configured to distribute content data through the first content distribution platform, and the user group with poor service experience is configured to distribute content data through the second content distribution platform, so that the purposes of optimizing content distribution strategies and improving user experience according to requirements of different user groups are achieved, the technical effects of improving content data distribution efficiency and optimizing user experience on the content data are achieved, and further the technical problem that different content distribution platforms cannot be set for different user groups in a targeted manner, and the content data distribution efficiency is low is solved.
As an alternative, dividing the plurality of user groups into the first user group and the second user group according to the user index data includes: determining a plurality of group index data corresponding to each user group in a plurality of user groups according to the user index data, wherein the group index data represents the average value of the user index data of each user in the corresponding user group; and arranging the plurality of group index data in a descending order to obtain a first user group and a second user group, wherein the first user group comprises A user groups with the group index data being ranked at the front, the second user group comprises B user groups with the group index data being ranked at the rear, the sum of the number of the groups of the first user group and the number of the groups of the second user group is not more than the total number of the groups of the plurality of user groups, and A, B is a natural number.
Optionally, in this embodiment, the group indicator data is used to evaluate the overall service experience of the corresponding user group, where the group indicator data is generally determined by an average value of the user indicator data of each user in the group.
In an exemplary embodiment, when a user group has a user of a preset type, a corresponding weight may be configured for the user of the preset type, and the group index data of the user group may be determined as a weighted average value of the users. For example, when a user group has a user with a member function opened, a larger weight is configured for the user group, so that the user experience of the user group is more referred to, and a more reasonable content distribution platform is configured for the user group corresponding to the user group.
It should be noted that fig. 6 is a schematic diagram of another alternative content data distribution method according to an embodiment of the present application, as shown in fig. 6, including but not limited to a user group P and a user group Q, when calculated using an average value, the weight of each user in the user group P is equal to 0.25, and at this time, the group index data of the user group P is P 1 、P 2 、P 3 、P 4 When calculated using a weighted average, corresponds to a different weight for each user in the group Q of users, where Q 1 、Q 2 、Q 3 Are all 0.1, Q 4 At this time, the group index data of the user group Q is Q0.7 1 、Q 2 、Q 3 、Q 4 Is a weighted average of (c).
It should be noted that, the corresponding group index data is obtained by grouping users according to different indexes and then averaging the user index data in each user group. Through analysis of the group index data, business experience of different user groups can be better understood, and therefore support is provided for enterprises to formulate more accurate strategies.
Through the above embodiment, in practical application, the sorting by using the group index data is a very effective user analysis method, and through deep analysis of the group index data of different user groups, a suitable content data distribution platform can be better configured for the user groups, so that the market competitiveness and profitability are improved.
As an alternative, the method further includes:
determining a third user group according to the first user group and the second user group under the condition that the sum of the group number of the first user group and the group number of the second user group is smaller than the total group number of the plurality of user groups, wherein the third user group is other user groups except the first user group and the second user group in the plurality of user groups;
acquiring a plurality of distribution index data corresponding to the plurality of content distribution platforms one by one, wherein the distribution index data are used for evaluating the content data distribution capacity of the corresponding content distribution platform;
determining a third content distribution platform according to the plurality of distribution index data, wherein the third content distribution platform is a content distribution platform with the distribution index data meeting preset distribution index conditions;
the third group of users is configured to distribute content data via the third content distribution platform.
Optionally, in this embodiment, the third user group may be understood as other user groups except the first user group with better experience and the second user group with worse experience, and at this time, it may be understood that for the third user group, the cost performance is not needed to be considered, but the content distribution platform with optimal performance is selected to provide content data for the third user group, so as to achieve optimal service experience.
The distribution index data is used for evaluating the content data distribution capability of the corresponding content distribution platform, the distribution index data can be an overall performance evaluation parameter of the content distribution platform or some key performance evaluation parameters of the content distribution platform, and the third content distribution platform can be determined from a plurality of content distribution platforms through the distribution index data.
For example, fig. 7 is a schematic diagram of yet another alternative method for distributing content data, as shown in fig. 7, in which sorting group index data is a common analysis method, taking A, B as an example, where a plurality of group index data are arranged in descending order, a user group P with better service experience and a user group Q with worse service experience can be quickly found. In this process, two parameters need to be determined: a first user group (including the first 1 user group P in the order of the group index data) and a second user group (including the last 1 user group Q in the order of the group index data), and a third user group I and a third user group J.
As an alternative, the method further includes: dividing the third user group into a plurality of user subgroups according to a predetermined dividing ratio, wherein the plurality of user subgroups comprise a first user subgroup, a second user subgroup and a third user subgroup, the number of the first user subgroup is greater than that of the second user subgroup, and the number of the second user subgroup is greater than that of the third user subgroup; determining a third content distribution platform with a first distribution index data rank, a third content distribution platform with a second distribution index data rank and a third content distribution platform with a third distribution index data rank according to the plurality of distribution index data; configuring the first subgroup of users to distribute content data through a third content distribution platform that distributes index data rank first; configuring the second subgroup of users to distribute the content data through a third content distribution platform that distributes the index data rank second; the third subgroup of users is configured to distribute the content data via a third content distribution platform that distributes the index data ranked third.
Alternatively, in this embodiment, the third content distribution platform may include a plurality of content distribution platforms, by arranging the distribution index data in descending order to determine three third content distribution platforms of which the distribution index data is ranked first, second, and third, and configure users in most of the third user groups to distribute data through the content distribution platform of which the distribution index data is optimal, configure users in a small portion of the third user groups to distribute data through the content distribution platform of which the distribution index data is suboptimal, and configure users in a smaller portion of the third user groups to distribute data through the content distribution platform of which the distribution index data is suboptimal.
Fig. 8 is a schematic diagram illustrating a further alternative method for distributing content data according to an embodiment of the present application, where, as shown in fig. 8, the number of users of the first user subgroup is greater than the number of users of the second user subgroup, and the number of users of the second user subgroup is greater than the number of users of the third user subgroup. The number of users of the first user subgroup, the second user subgroup and the third user subgroup may be preset, or may be calculated in real time according to a predetermined weight value.
In an exemplary embodiment, taking the example that the content delivery platform is a CDN vendor, the application provider selects the CDN vendor for the remaining user groups (excluding the remaining user groups of the first user group and the second user group) according to the overall score (corresponding to the foregoing delivery index data) of the CDN vendor, specifically as follows:
s1, selecting most (such as m1%, corresponding to the first user subgroup) of the rest user groups (corresponding to the third user group) to provide audio and video live broadcast service for CDN manufacturers with the highest score_CDN_i;
s2, selecting a small number (such as m2 percent, corresponding to the second user subgroup) of the rest user groups to provide audio and video live broadcast service for CDN manufacturers with second high score_CDN_i;
s3, selecting a small number (such as m3 percent, corresponding to the third user subgroup) of the rest user groups to provide audio and video live broadcast service for CDN manufacturers with third high score_CDN_i;
s4, in the application, m1> m2> m3;
as an alternative, the method further includes: acquiring a plurality of user parameter sets sent by each user in a target user group, wherein different user parameters in each user parameter set are commonly used for determining user index parameters of corresponding users, and the plurality of user groups comprise the target user group; determining a plurality of service experience levels according to a plurality of user parameter sets, wherein each service experience level is used for indicating the service experience of a corresponding user relative to a target user group; and configuring the target user to distribute the content data through the first content distribution platform or the second content distribution platform according to the target service experience level, wherein the service experience levels comprise target service experience levels, and the target service experience levels correspond to the target user.
Optionally, in this embodiment, the above user parameter set may be understood as a user parameter set formed by user parameters such as a first frame delay, a streaming success rate, an end-to-end delay, an audio/video clip duration and a number of times.
Optionally, in this embodiment, the service experience level is used to indicate the service experience level of the user in the user group where the user is located in a case of corresponding to the user.
For example, the application provider may calculate the scores of the individual QoE metrics for each user, namely sub_score_1, sub_score_2, sub_score_3, sub_score_4 and sub_score_5, and calculate the total Score score_usr; judging the service experience Performance (Performance) of the user terminal according to the ranking of the calculated total score_usr in the user group, wherein the user terminal belongs to a user with better Performance when performance=0 corresponding to the service experience level; when performance=1, the user terminal belongs to a user with moderate Performance; when performance=2, the user terminal belongs to a user with poor Performance, fig. 9 is a schematic diagram of another alternative method for distributing content data according to an embodiment of the present application, where, as shown in fig. 9, user 1 and user 2 belong to a user with better Performance, user 3 to user 7 belong to a user with general Performance, and user 8 and user 9 belong to a user with poor Performance.
As an alternative, determining a plurality of service experience levels according to a plurality of user parameter sets includes: determining a plurality of user index data corresponding to each user one by one according to a plurality of user parameter sets; and determining a plurality of service experience levels according to the ordering positions of the user index data in the plurality of user index data, wherein the plurality of service experience levels comprise a first level, a second level and a third level, the first level represents that the user index data associated with the corresponding user is positioned in the first N pieces of the user index data, the second level represents that the user index data of the corresponding user is positioned in the last M pieces of the user index data, the third level represents that the corresponding user is other users except the corresponding users of the first level and the second level in the target user group, the sum of the number of the users of the first level and the number of the users of the second level is smaller than the total number of the users of the target user group, and N, M is a natural number.
Optionally, in this embodiment, the first level includes, but is not limited to, the user with performance=0, the second level includes, but is not limited to, the user with performance=1, and the third level includes, but is not limited to, the user with performance=2.
As an alternative, configuring the target user to distribute the content data through the first content distribution platform or the second content distribution platform according to the target service experience level includes:
under the condition that the target service experience level is the first level, configuring a target user to distribute content data through a first content distribution platform;
and in the case that the target service experience level is the second level, configuring the target user to distribute the content data through the second content distribution platform.
Optionally, in this embodiment, when the target user is the first level, it may be understood that the service experience of the user is better, a first content distribution platform with higher cost performance is configured for the target user to complete the distribution of the content data, and when the target user is the second level, it may be understood that the service experience of the user is worse, a second content distribution platform with higher performance is configured for the target user to complete the distribution of the content data.
As an alternative, the method further includes: determining a sequencing index set according to a target user parameter set corresponding to a target user and a plurality of user parameter sets under the condition that the target service experience level is a third level, wherein each sequencing index in the sequencing index set is used for representing the sequencing position of each user parameter in the target user parameter set in the plurality of user parameter sets; determining target user parameters meeting preset sorting conditions according to the sorting index set, and determining a fourth content distribution platform based on the target user parameters, wherein the fourth content distribution platform comprises a content distribution platform meeting preset distribution capability conditions after sorting the distribution capability of the target user parameters; the target user is configured to distribute the content data via the fourth content distribution platform.
Optionally, in this embodiment, each ranking indicator in the above-mentioned ranking indicator set is used to indicate a ranking position of one user parameter in the target user parameter set in the plurality of user parameter sets for ranking the user parameter. The content distribution platform satisfying the preset distribution capability condition may include, but is not limited to, any one of Top N content distribution platforms after the distribution capability ordering about the target user parameter, or may be an optimal one. The above preset ordering condition may be understood as the latter c% or the last one, etc.
Illustratively, fig. 10 is a schematic diagram of yet another alternative method of distributing content data, according to an embodiment of the present application, as shown in fig. 10, including, but not limited to, the steps of:
s1, counting the sorting positions of all user parameters (namely, parameter 1, parameter 2, parameter 3 and parameter 4, corresponding to the user parameter set) of all users in the user group respectively;
s2, if a certain user parameter is ranked as 90% in all users in the user group, the user is considered as a target user parameter of a target user;
s3, screening a content distribution platform capable of remarkably improving the target user parameters according to the target user parameters:
S3-1, respectively counting the scores of each content distribution platform on the target user parameters in the past period;
s3-2, selecting a fourth content distribution platform with the strongest distribution capacity corresponding to the target user parameter from the content distribution platforms, for example, if the target user parameter of the target user is audio/video clip duration, selecting CDN manufacturer with the highest audio/video clip duration score to provide service for the target user.
As an alternative, the method further includes:
in the case that the second user group comprises a target user group and the service experience level of the target user is a first level, configuring the target user to distribute content data through the first content distribution platform;
in the case that the first user group includes a target user group and the service experience level of the target user is the second level, the target user is configured to distribute the content data through the second content distribution platform.
Optionally, in this embodiment, the second user group includes a target user group, and the service experience level of the target user is a first level, which may be understood as a user with a better service experience in the user group with a worse service experience, and the first user group includes a target user group, and the service experience level of the target user is a second level, which may be understood as a user with a worse service experience in the user group with a better service experience.
As an alternative, the method further includes: determining a third user group according to the first user group and the second user group under the condition that the sum of the group number of the first user group and the group number of the second user group is smaller than the total group number, wherein the third user group is other user groups except the first user group and the second user group in the plurality of user groups; in the case that the third user group comprises a target user group and the service experience level of the target user is the first level, configuring the target user to distribute content data through the first content distribution platform; in case the third user group comprises a target user group and the business experience level of the target user is the second level, the target user is configured to distribute the content data through the second content distribution platform.
As an alternative, configuring the first user group to distribute content data through the first content distribution platform and configuring the second user group to distribute content data through the second content distribution platform includes: acquiring group service experience grade identifiers of a first user group and a second user group, wherein the group service experience grade identifiers are determined by user index data; and sending the first positioning information corresponding to the first content distribution platform to a domain name system associated with the first user group according to the group service experience grade identification, and sending the second positioning information corresponding to the second content distribution platform to a domain name system associated with the second user group, wherein the domain name system is used for responding to the content data request message sent by the terminal equipment and forwarding the content data corresponding to the first content distribution platform or the second content distribution platform to the terminal equipment.
The application is further illustrated by the following examples:
the application provides a service selection method oriented to audio and video live broadcast service experience, which can be used for improving user experience of a client and reducing cost of an application provider, and belongs to the field of computer network scheduling and transmission. Wherein the method comprises the following steps: the application provider periodically detects the overall service experience index of each user group and the service experience index of each cloud service provider in the user group; for a user group with better business experience, selecting a cloud service provider capable of considering service price and business income to provide services for the user group; for a user group with poor service experience, screening out key limited indexes influencing the service experience, and selecting a cloud service provider capable of obviously optimizing the limited indexes to provide services for the user group. Compared with the existing cloud service selection method using round robin or regional demarcation, the method can formulate differentiated cloud service selection strategies aiming at the levels of different user group service experiences, namely, cloud service providers which are always good in performance and give consideration to service prices and service benefits are selected for user groups, and cloud service providers which are always poor in performance and can obviously improve limited indexes are selected for user groups; the method and the system are beneficial to solving the problem that the differentiated optimization cannot be executed aiming at different service experience groups in the existing network traffic scheduling process, enhancing the overall optimization of service experience in an audio and video live broadcast scene and improving the benefits of application service providers.
In summary, taking an audio and video live broadcast service as an example:
if CDN vendor selection is performed based on index weighted score, the limited factors of the user group with poor service experience cannot be optimized accurately, so that the long tail effect of the whole service is more prominent.
For example, the CDN manufacturer 1 can provide the audio/video live broadcast service with the highest total score, but cannot provide the optimal service in terms of video click duration and times, and the service experience of the clients in the user group 1 is mainly limited by live click. If CDN vendor 1 is selected for all (or most) users of user group 1 again, the traffic of that group is still not greatly improved.
If a CDN vendor is selected for a user group that has always better performance of the service, the balance of performance gain and traffic cost is not fully considered.
For example, the service experience of the user groups n and m is always better, and no matter which CDN vendor is selected, the QoE of the client may be not very different, and if the CDN vendor is selected according to the weighted scoring manner, the service cost may be greatly increased.
To solve the above problems, the present application optimizes CDN vendor selection from the following aspects:
(1) Enabling an application provider to deeply analyze the service experience capacity of the user group, and mining key limited indexes of the user group with poor performance and the user group with good performance;
(2) Enabling an application provider to deeply analyze the advantages of each CDN manufacturer and mining the key benefits of different CDN manufacturers facing different user groups;
(3) CDN manufacturer selection considering service cost is executed for the user group with better service experience, and CDN manufacturer with limited index can be obviously improved for the user group with worse service experience;
(4) Aiming at users with poor experience in a user group with good service experience, the long tail effect of the audio and video live broadcast service experience is further optimized by independently configuring CDNs which obviously improve the limited indexes of the users. The service selection method for different service experience levels can give consideration to service benefits and service costs of application providers, and can realize larger client service experience improvement with smaller expenditure.
The application aims to solve the problem that CDN manufacturer selection combining service benefit and service cost cannot be executed aiming at different levels of service experience in the existing audio and video live broadcast service, and provides a CDN manufacturer selection method for different service experiences. In the application, the application provider periodically analyzes the user group with better service performance and the user group with worse service performance, and further digs the key limited index of the user group with worse performance; selecting CDN manufacturers with lower service cost aiming at user groups with better service performance; selecting CDN manufacturers capable of obviously improving limited indexes of the user groups with poor service performance; further, for the user group with non-poor service experience, the users with the service scores of the whole user group significantly reduced are screened out, and CDN manufacturers capable of significantly improving the limited indexes of the users are configured for the users.
The application provider periodically evaluates the traffic performance of each user group and marks the better performing (e.g., the first 20%) as the better performing user group (i.e., user group 1), the worse performing (e.g., the last 20%) as the worse performing user group (i.e., user group 3), and the remaining user groups as the medium performing user groups (i.e., user group 2); positioning key indexes (such as video cartoon duration) affecting service performance in a user group 3 with poor performance, searching CDN manufacturers (such as CDN manufacturer 1) capable of providing significantly improved video cartoon duration among the 3 CDN manufacturers, and selecting CDN manufacturer 1 for most users in the user group 3 to provide audio and video live broadcast service; providing audio and video live broadcast service for CDN manufacturer 3 with lower service price selected by most users in user group 1 with better performance all the time; in addition, users with better, middle and worse performances are positioned in the three user groups, CDN manufacturers 2 with better performance are selected for the users with worse performances in the user group 1, CDN manufacturers 2 and 3 are selected for the users with better performances in the user group 2 (CDN manufacturers 1 are selected for the rest users), and CDN manufacturers 2 are selected for the users with better performances in the user group 3 to provide live broadcast service. In order to effectively evaluate the performance of each user group, the application takes the statistics data of three continuous periods as a reference when marking the service performance of the user group, if a certain user group performs better in all three continuous statistics periods, the user group is marked as a user group 1, and if a certain user group performs worse in all three continuous statistics periods, the user group is marked as a user group 3.
In the application, in order to quickly locate the user group identifier to which a certain user belongs and the performance advantages and limitations of the user group, when the user exits from the live audio/video broadcast, the information carrying the user experience is sent to an application provider, and the application provider feeds back the user group identifier, the performance advantages and limitations to the user for the next live audio/video broadcast of the user.
In the application, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligent platforms and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the present application is not limited herein.
In the present application, cloud technology (Cloud technology) refers to a hosting technology that unifies serial resources such as hardware, software, network, etc. in a wide area network or a local area network, so as to implement calculation, storage, processing, and sharing of data. Cloud technology (Cloud technology) is based on the general terms of network technology, information technology, integration technology, management platform technology, application technology and the like applied by Cloud computing business models, and can form a resource pool, so that the Cloud computing business model is flexible and convenient as required. Cloud computing technology will become an important support. Background services of technical networking systems require a large amount of computing, storage resources, such as video websites, picture-like websites, and more portals. Along with the high development and application of the internet industry, each article possibly has an own identification mark in the future, the identification mark needs to be transmitted to a background system for logic processing, data with different levels can be processed separately, and various industry data needs strong system rear shield support and can be realized only through cloud computing.
The application provides a method for improving user service experience, reducing cost overhead of an application provider as much as possible, being beneficial to optimizing 'long tail effect' of user experience in audio and video live broadcast service and increasing service benefit of the application provider by considering service benefit and service cost and executing fine-grained CDN manufacturer selection for audio and video live broadcast users in different user groups.
The application is realized by the following technical scheme:
s1, when a user terminal exits an audio and video live broadcast service, a service experience message Pkt_QoE is sent to an application provider, and the application provider feeds back an identification message Pkt_mark after receiving the message, specifically as follows:
s1-1, a service experience message Pkt_QoE contains relevant QoE data of the user in the live broadcast watching process, namely, first frame time delay, streaming success rate, end-to-end time delay, audio and video cartoon duration, times and the like;
s1-2, the application provider calculates the scores of the QoE indexes of the user according to the information, namely, sub_score_1, sub_score_2, sub_score_3, sub_score_4 and sub_score_5, and calculates a total score_usr through a formula (1);
s1-3, the application provider calculates a user group i (region division) to which the user terminal belongs according to the source IP address of the Pkt_QoE message;
S1-4, the application provider judges the service experience Performance (Performance) of the user terminal according to the ranking of the calculated total score_usr in the user group i, and when performance=0, the user terminal belongs to a user with better Performance; when performance=1, the user terminal belongs to a user with moderate Performance; when performance=2, the user terminal belongs to a user with poor Performance;
s1-5, if the service experience of the user is poor (performance=1), the application provider locates the index ranked by the 5 QoE indexes (i.e. the limited index), and the specific method is as follows:
s1-5-1, ranking Sub_score_1 in Sub_score_1 of all users in the user group i to which the user belongs, and obtaining Sub_score_1 final ranking distribution Sub_rank_1, wherein if Sub_rank_1=90%, the first frame delay of the user is 10% after ranking in the user group;
s1-5-2, ranking the rest sub_score_2, sub_score_3, sub_score_4 and sub_score_5, and obtaining respective final ranking distributions sub_rank_2, sub_rank_3, sub_rank_4 and sub_rank_5;
s1-5-3, sequencing Sub_rank_1, sub_rank_2, sub_rank_3, sub_rank_4 and Sub_rank_5 from large to small to obtain the largest two, wherein the largest two are respectively represented by Sub_rank_i and Sub_rank_j;
S1-6, the user group i, the Performance, the two limited indexes Sub_rank_i and Sub_rank_j and other identifiers are carried in a Pkt_mark message sent to the user terminal by the application provider, so that the Pkt_mark can be represented by a formula (1):
Pkt_mark = {i, Performance, Sub_rank_i, Sub_rank_j} (1)
s2, the application provider periodically counts the service performance of each user group and marks the user groups as better, medium and worse user groups based on the service performance, and the method is as follows:
s2-1, in the application, the user groups are divided according to the country, province, region, operator, access mode and the like where the user terminal is located;
s2-2, in the present application, the performance of the service (score_ug_i) of the user group i is calculated according to the average value (or 50, 80 quantile values, etc.) of the service experiences of all the user terminals in the group, as shown in the formula (2):
Score_ug_i = avg(Score_usr_1, Score_usr_2, ……, Score_usr_n) (2)
wherein score_usr_1, score_usr_2, … …, score_usr_n represent the business experiences of users 1, 2, …, n in user group i, respectively, and avg () function represents taking the average;
s2-3, in the application, the criteria for the application provider to determine whether the user group i is a better, medium and worse user group are:
S2-3-1, if score_ug_i enters a percent a in score_ug ranks of all user groups, the user groups with better service performance are obtained;
s2-3-2, if the score_ug_i enters b% after the score_ug rank of all the user groups, the user groups with poor service performance are obtained;
s2-3-3, removing the user groups with better performance and worse performance, wherein the rest user groups are user groups with medium performance;
s2-3-4, in the present application, 0< a, b <50, by default, a=b=20;
s2-4, in the application, if the user group i is a better user group and a worse user group in N continuous periods, marking the user group as a user group with better service performance and worse service performance (UG_best and UG_worst respectively);
s2-4-1, in the present application, the duration of each cycle is configured by an administrator and may be 10 minutes, 1 hour, 6 hours, 1 day, etc.;
s2-4-2, wherein the default value of N is 3;
s3, selecting a CDN manufacturer with higher cost performance for UG_best by an application provider, wherein the decision process is realized through the following steps:
s3-1, the application provider counts service charges cost_ CDN _i of UG_best of different CDN manufacturers;
S3-2, calculating the maximum value cost_ CDN _max of cost_ CDN _i of all CDN manufacturers;
s3-3, calculating a Value of 'cost performance' value_balance_i of each CDN vendor i when providing live service for UG_best, as shown in a formula (3):
Value_balance_i = Score_ug * Cost_cdn_max / Cost_cdn_i (3)
s3-4, selecting CDN manufacturers with higher Value of value_balance_i for UG_best by the application provider;
s4, the application provider locates key QoE indexes affecting service experience of the application provider in the user group UG_word, and the specific locating method is as follows:
s4-1, respectively counting ranking conditions of various QoE indexes (namely sub_score_1, sub_score_2, sub_score_3, sub_score_4 and sub_score_5) of UG_word in all user groups;
s4-2, if a certain sub_score_i is named after c% in all user groups, the QoE is considered as a limited index of UG_word service experience (marked as QoE_limited); wherein c defaults to 10;
s5, the application provider screens CDN manufacturers capable of remarkably improving the QoE_limited index from all CDN manufacturers, and selects the CDN manufacturers for UG_word:
s5-1, the application provider respectively counts the scores on QoEs of the instant frame time delay, the streaming success rate, the end-to-end time delay, the audio and video cartoon duration, the times and the like of each CDN manufacturer in the past period, namely sub_score_1, sub_score_2, sub_score_3, sub_score_4 and sub_score_5;
S5-2, the application provider selects a CDN manufacturer with the highest sub_score_i score from the CDN manufacturers, wherein the sub_score_i corresponds to the QoE_limited index; for example, if qoe_limited of ug_word is longer than the audio/video clip, the CDN manufacturer with the highest sub_score_4 score is selected to provide the audio/video live service for ug_word;
s6, the application provider selects the CDN manufacturer according to the overall score of the CDN manufacturer for the rest user groups (UG_best and UG_word are removed), and the method is specifically as follows:
s6-1, selecting CDN manufacturers with the highest score_CDN_i from most (such as m 1%) of the flows in the rest user groups to provide audio and video live broadcast services for the CDN manufacturers;
s6-2, selecting a small number (such as m 2%) of flow in the rest user groups to provide audio and video live broadcast service for CDN manufacturers with second highest score_CDN_i;
s6-3, selecting a small number (such as m 3%) of flow in the rest user groups to provide audio and video live broadcast service for CDN manufacturers with third high score_CDN_i;
in the present application, m1> m2> m3;
s7, in the application, the application provider can continue to divide three types of users with better, medium and worse service experience for each type of user group, and adopts different CDN manufacturer selection methods for each type of user in the user group, and the method is as follows:
S7-1, selecting CDN manufacturers with better performance for users with poorer service experience in a user group with 'always better';
s7-2, selecting a CDN manufacturer with low price for a user with better service experience in a user group with 'always poor', wherein the selection standard refers to the rule in the step S3;
s7-3, CDN manufacturers with better performance are provided for users with poorer service experience in the rest user groups;
s8, the application provider sends the user groups with different service experience grades and CDN manufacturers selected by the user to a DNS system, and after receiving a domain name query message sent by the user, the DNS system locates CDN manufacturer information selected by the application provider according to the message carrying the Pkt_mark, and replies the information to the user terminal.
The application focuses on a method for deciding CDN manufacturer selection by an application provider, wherein the embodiment of the selection method is that the application provider periodically sends an update message (namely the following steps (S5) - (S7)) to a DNS system, and the message comprises CDN manufacturer selection results aiming at different user groups, experience quality and limited factors.
The example of the technical protection point in the CDN selection scene is as follows:
S1, when a user terminal watches live audio and video, firstly, a domain name query message is sent to a DNS system, wherein the message carries information (namely, content in Pkt_mark) which is fed back from an application provider and can identify a user group, experience quality, limited factors and the like of the user terminal;
s2, after receiving the query message, the DNS system queries CDN manufacturer information according to the carried information and feeds the information back to the user terminal;
s3, the user terminal sends a flow request message to the CDN manufacturer;
s4, after receiving the request message from the user terminal, the CDN manufacturer feeds back a flow message to the user terminal;
s5, when the user terminal exits from the live broadcast of the audio and video, sending a service experience information message Pkt_QoE during the live broadcast to an application provider;
s6, the application provider sends the information of the user group, experience quality, limited factors and the like to which the user terminal belongs to the user terminal through a message Pkt_mark;
s7, the application provider periodically monitors information such as service experience quality of different user groups and users, and sends the latest CDN manufacturer selection result to the DNS system, wherein the step S7 can also realize periodic update by directly sending the selected CDN manufacturer to the corresponding user terminal by the application provider, and FIG. 11 is a schematic diagram of yet another alternative content data distribution method according to an embodiment of the present application, as shown in FIG. 11.
The application aims to solve the problem that CDN manufacturer selection combining service benefit and service cost cannot be executed aiming at different levels of service experience in the existing audio and video live broadcast service, and provides a CDN manufacturer selection method for different service experiences. In the application, the application provider periodically analyzes the user group with better service performance and the user group with worse service performance, and further digs the key limited index of the user group with worse performance; selecting CDN manufacturers with lower service cost aiming at user groups with better service performance; selecting CDN manufacturers capable of obviously improving limited indexes of the user groups with poor service performance; further, for the user group with non-poor service experience, the users with the service scores of the whole user group significantly reduced are screened out, and CDN manufacturers capable of significantly improving the limited indexes of the users are configured for the users.
It will be appreciated that in the specific embodiments of the present application, related data such as user information is involved, and when the above embodiments of the present application are applied to specific products or technologies, user permissions or consents need to be obtained, and the collection, use and processing of related data need to comply with related laws and regulations and standards of related countries and regions.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
According to another aspect of the embodiments of the present application, there is also provided a content data distribution apparatus for implementing the above content data distribution method. As shown in fig. 12, the apparatus includes:
a receiving module 1202, configured to receive user index data sent by each user in a plurality of user groups, where the user index data is used to evaluate a business experience of one user for one piece of content data, where the one piece of content data is distributed to the one user by one content distribution platform in a plurality of content distribution platforms, and a content data distribution capability of each content distribution platform is positively related to resource overhead;
A dividing module 1204, configured to divide the plurality of user groups into a first user group and a second user group according to the user index data, where a service experience of the first user group is better than a service experience of the second user group;
a determining module 1206, configured to determine, according to the user index data, a first content distribution platform and a second content distribution platform from the plurality of content distribution platforms, where the first content distribution platform includes a content distribution platform whose cost performance parameter satisfies a preset cost performance condition, a value of the cost performance parameter is positively correlated with the content data distribution capability and is negatively correlated with the resource overhead, and the second content distribution platform includes a content distribution platform whose platform index data satisfies a preset index condition, and the platform index data is used to evaluate the content distribution capability of the content distribution platform with respect to a target parameter, where the target parameter represents a user parameter whose influence degree on service experience of users in the second user group satisfies a preset influence condition;
a configuration module 1208 is configured to configure the first user group to distribute content data through the first content distribution platform and the second user group to distribute content data through the second content distribution platform.
As an alternative, the apparatus is configured to divide the plurality of user groups into a first user group and a second user group according to the user index data by: determining a plurality of group index data corresponding to each user group in the plurality of user groups according to the user index data, wherein the group index data represents an average value of the user index data of each user in the corresponding user group; and arranging the plurality of group index data in a descending order to obtain the first user group and the second user group, wherein the first user group comprises A user groups with the group index data being ranked at the front, the second user group comprises B user groups with the group index data being ranked at the rear, the sum of the number of the groups of the first user group and the number of the groups of the second user group does not exceed the total number of the groups of the plurality of user groups, and A, B is a natural number.
As an alternative, the device is further configured to: determining a third user group according to the first user group and the second user group when the sum of the group number of the first user group and the group number of the second user group is smaller than the total group number of the plurality of user groups, wherein the third user group is other user groups except the first user group and the second user group in the plurality of user groups; acquiring a plurality of distribution index data corresponding to the plurality of content distribution platforms one by one, wherein the distribution index data are used for evaluating the content data distribution capacity of the corresponding content distribution platform; determining a third content distribution platform according to the plurality of distribution index data, wherein the third content distribution platform is a content distribution platform of which the distribution index data meets preset distribution index conditions; the third group of users is configured to distribute content data through the third content distribution platform.
As an alternative, the device is further configured to: dividing the third user group into a plurality of user subgroups according to a predetermined dividing ratio, wherein the plurality of user subgroups comprise a first user subgroup, a second user subgroup and a third user subgroup, the number of groups of the first user subgroup is larger than the number of groups of the second user subgroup, and the number of groups of the second user subgroup is larger than the number of groups of the third user subgroup; determining the third content distribution platform with the first distribution index data rank, the third content distribution platform with the second distribution index data rank and the third content distribution platform with the third distribution index data rank according to the plurality of distribution index data; configuring the first subgroup of users to distribute content data through the third content distribution platform whose distribution index data is first ranked; configuring said second subgroup of users to distribute content data through said third content distribution platform of which said distribution index data is second ranked; the third subgroup of users is configured to distribute content data through the third content distribution platform whose distribution index data ranks third.
As an alternative, the device is further configured to: acquiring a plurality of user parameter sets sent by each user in a target user group, wherein different user parameters in each user parameter set are commonly used for determining the user index parameters of the corresponding user, and the plurality of user groups comprise the target user group; determining a plurality of service experience levels according to the plurality of user parameter sets, wherein each service experience level is used for indicating the service experience of a corresponding user relative to the target user group; and configuring a target user to distribute content data through the first content distribution platform or the second content distribution platform according to a target service experience level, wherein the service experience levels comprise the target service experience level, and the target service experience level corresponds to the target user.
As an alternative, the apparatus is configured to determine a plurality of service experience levels according to the plurality of user parameter sets by: determining a plurality of user index data corresponding to each user one by one according to the plurality of user parameter sets; determining the service experience levels according to the sorting positions of the user index data in the user index data, wherein the service experience levels comprise a first level, a second level and a third level, the first level represents that the user index data associated with the corresponding user is located in the first N pieces of the user index data, the second level represents that the user index data of the corresponding user is located in the last M pieces of the user index data, the third level represents that the corresponding user is other users except the users corresponding to the first level and the second level in the target user group, the sum of the number of the users of the first level and the number of the users of the second level is smaller than the total number of the users of the target user group, and N, M is a natural number.
As an alternative, the apparatus is configured to configure the target user to distribute content data through the first content distribution platform or the second content distribution platform according to a target business experience level by: configuring the target user to distribute content data through the first content distribution platform in the case that the target service experience level is the first level; and configuring the target user to distribute content data through the second content distribution platform under the condition that the target service experience level is the second level.
As an alternative, the device is further configured to: determining a sorting index set according to a target user parameter set corresponding to the target user and the plurality of user parameter sets under the condition that the target service experience level is the third level, wherein each sorting index in the sorting index set is used for representing the sorting position of each user parameter in the target user parameter set in the plurality of user parameter sets; determining target user parameters meeting preset sorting conditions according to the sorting index set, and determining a fourth content distribution platform based on the target user parameters, wherein the fourth content distribution platform comprises a content distribution platform meeting preset distribution capability conditions after sorting the distribution capability of the target user parameters; the target user is configured to distribute content data through the fourth content distribution platform.
As an alternative, the device is further configured to: configuring the target user to distribute content data through the first content distribution platform, in a case where the second user group includes the target user group and the business experience level of the target user is the first level; in the case where the first user group includes the target user group and the business experience level of the target user is the second level, the target user is configured to distribute content data through the second content distribution platform.
As an alternative, the device is further configured to: determining a third user group according to the first user group and the second user group when the sum of the group number of the first user group and the group number of the second user group is smaller than the total group number, wherein the third user group is other user groups except the first user group and the second user group in the plurality of user groups; configuring the target user to distribute content data through the first content distribution platform, in a case where the third user group includes the target user group and the business experience level of the target user is the first level; in the case where the third group of users includes the target group of users and the level of business experience of the target user is the second level, the target user is configured to distribute content data through the second content distribution platform.
As an alternative, the apparatus is configured to configure the first user group to distribute content data through the first content distribution platform and configure the second user group to distribute content data through the second content distribution platform by: acquiring group service experience level identifiers of the first user group and the second user group, wherein the group service experience level identifiers are determined by the user index data; and sending the first positioning information corresponding to the first content distribution platform to a domain name system associated with the first user group according to the group service experience grade identification, and sending the second positioning information corresponding to the second content distribution platform to a domain name system associated with the second user group, wherein the domain name system is used for responding to a content data request message sent by a terminal device and forwarding the content data corresponding to the first content distribution platform or the second content distribution platform to the terminal device.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
According to one aspect of the present application, there is provided a computer program product comprising a computer program/instruction containing program code for executing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication portion 1309 and/or installed from the removable medium 1311. When executed by the central processor 1301, performs various functions provided by embodiments of the present application.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
Fig. 13 schematically shows a block diagram of a computer system of an electronic device for implementing an embodiment of the application.
It should be noted that, the computer system 1300 of the electronic device shown in fig. 13 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 13, the computer system 1300 includes a central processing unit 1301 (Central Processing Unit, CPU) which can execute various appropriate actions and processes according to a program stored in a Read-Only Memory 1302 (ROM) or a program loaded from a storage portion 1308 into a random access Memory 1303 (Random Access Memory, RAM). In the random access memory 1303, various programs and data necessary for the system operation are also stored. The cpu 1301, the rom 1302, and the ram 1303 are connected to each other via a bus 1304. An Input/Output interface 1305 (i.e., an I/O interface) is also connected to bus 1304.
The following components are connected to the input/output interface 1305: an input section 1306 including a keyboard, a mouse, and the like; an output portion 1307 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage portion 1308 including a hard disk or the like; and a communication section 1309 including a network interface card such as a local area network card, a modem, or the like. The communication section 1309 performs a communication process via a network such as the internet. The drive 1310 is also connected to the input/output interface 1305 as needed. Removable media 1311, such as magnetic disks, optical disks, magneto-optical disks, semiconductor memory, and the like, is installed as needed on drive 1310 so that a computer program read therefrom is installed as needed into storage portion 1308.
In particular, the processes described in the various method flowcharts may be implemented as computer software programs according to embodiments of the application. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such embodiments, the computer program may be downloaded and installed from a network via the communication portion 1309 and/or installed from the removable medium 1311. The computer programs, when executed by the central processor 1301, perform the various functions defined in the system of the present application.
According to still another aspect of the embodiment of the present application, there is also provided an electronic device for implementing the above-described content data distribution method, which may be a terminal device or a server as shown in fig. 1. The present embodiment is described taking the electronic device as a terminal device as an example. As shown in fig. 14, the electronic device comprises a memory 1402 and a processor 1404, the memory 1402 having stored therein a computer program, the processor 1404 being arranged to perform the steps of any of the method embodiments described above by means of the computer program.
Alternatively, in this embodiment, the electronic device may be located in at least one network device of a plurality of network devices of the computer network.
Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:
s1, receiving user index data sent by each user in a plurality of user groups, wherein the user index data are used for evaluating service experience of one user for one piece of content data, one piece of content data is distributed to one user by one content distribution platform in a plurality of content distribution platforms, and the content data distribution capacity of each content distribution platform is positively correlated with resource expense;
S2, dividing the plurality of user groups into a first user group and a second user group according to the user index data, wherein the service experience of the first user group is better than that of the second user group;
s3, determining a first content distribution platform and a second content distribution platform from a plurality of content distribution platforms according to user index data, wherein the first content distribution platform comprises a content distribution platform with cost performance parameters meeting preset cost performance conditions, the value of the cost performance parameters is positively correlated with content data distribution capacity and negatively correlated with resource expense, the second content distribution platform comprises a content distribution platform with platform index data meeting preset index conditions, the platform index data is used for evaluating the content distribution capacity of the content distribution platform relative to target parameters, and the target parameters represent user parameters with influence degrees on service experience of users in the second user group meeting preset influence conditions;
s4, configuring the first user group to distribute content data through the first content distribution platform, and configuring the second user group to distribute content data through the second content distribution platform.
Alternatively, it will be understood by those skilled in the art that the structure shown in fig. 14 is only schematic, and the electronic device may be a smart phone (such as an Android mobile phone, an iOS mobile phone, etc.), a tablet computer, a palm computer, a mobile internet device (Mobile Internet Devices, MID), a PAD, etc. Fig. 14 is not limited to the structure of the electronic device and the electronic apparatus described above. For example, the electronics can also include more or fewer components (e.g., network interfaces, etc.) than shown in fig. 14, or have a different configuration than shown in fig. 14.
The memory 1402 may be used to store software programs and modules, such as program instructions/modules corresponding to the method and apparatus for distributing content data in the embodiments of the present application, and the processor 1404 executes the software programs and modules stored in the memory 1402 to perform various functional applications and data processing, that is, to implement the method for distributing content data described above. Memory 1402 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 1402 may further include memory located remotely from processor 1404, which may be connected to the terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 1402 may be used for storing information such as content data, but is not limited to. As an example, as shown in fig. 14, the memory 1402 may include, but is not limited to, a receiving module 1202, a dividing module 1204, a determining module 1206, and a configuring module 1208 in a distribution apparatus including the content data. In addition, other module units in the distribution device of the content data may be included, but are not limited to, and are not described in detail in this example.
Optionally, the transmission device 1406 is used to receive or transmit data via a network. Specific examples of the network described above may include wired networks and wireless networks. In one example, the transmission device 1406 includes a network adapter (Network Interface Controller, NIC) that can connect to other network devices and routers via a network cable to communicate with the internet or a local area network. In one example, the transmission device 1406 is a Radio Frequency (RF) module that is used to communicate wirelessly with the internet.
In addition, the electronic device further includes: a display 1408 for displaying the content data; and a connection bus 1410 for connecting the respective module parts in the above-described electronic device.
In other embodiments, the terminal device or the server may be a node in a distributed system, where the distributed system may be a blockchain system, and the blockchain system may be a distributed system formed by connecting the plurality of nodes through a network communication. The nodes may form a peer-to-peer network, and any type of computing device, such as a server, a terminal, etc., may become a node in the blockchain system by joining the peer-to-peer network.
According to an aspect of the present application, there is provided a computer-readable storage medium, from which a processor of a computer device reads the computer instructions, the processor executing the computer instructions, so that the computer device performs a distribution method of content data provided in various alternative implementations of the above-described distribution aspect of content data.
Alternatively, in the present embodiment, the above-described computer-readable storage medium may be configured to store a computer program for performing the steps of:
s1, receiving user index data sent by each user in a plurality of user groups, wherein the user index data are used for evaluating service experience of one user for one piece of content data, one piece of content data is distributed to one user by one content distribution platform in a plurality of content distribution platforms, and the content data distribution capacity of each content distribution platform is positively correlated with resource expense;
s2, dividing the plurality of user groups into a first user group and a second user group according to the user index data, wherein the service experience of the first user group is better than that of the second user group;
s3, determining a first content distribution platform and a second content distribution platform from a plurality of content distribution platforms according to user index data, wherein the first content distribution platform comprises a content distribution platform with cost performance parameters meeting preset cost performance conditions, the value of the cost performance parameters is positively correlated with content data distribution capacity and negatively correlated with resource expense, the second content distribution platform comprises a content distribution platform with platform index data meeting preset index conditions, the platform index data is used for evaluating the content distribution capacity of the content distribution platform relative to target parameters, and the target parameters represent user parameters with influence degrees on service experience of users in the second user group meeting preset influence conditions;
S4, configuring the first user group to distribute content data through the first content distribution platform, and configuring the second user group to distribute content data through the second content distribution platform.
Alternatively, in this embodiment, it will be understood by those skilled in the art that all or part of the steps in the methods of the above embodiments may be performed by a program for instructing a terminal device to execute the steps, where the program may be stored in a computer readable storage medium, and the storage medium may include: flash disk, read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), magnetic or optical disk, and the like.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
The integrated units in the above embodiments may be stored in the above-described computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing one or more computer devices (which may be personal computers, servers or network devices, etc.) to perform all or part of the steps of the method described in the embodiments of the present application.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In several embodiments provided by the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.

Claims (14)

1. A distribution method of content data, comprising:
receiving user index data sent by each user in a plurality of user groups, wherein the user index data is used for evaluating service experience of one user for one piece of content data, the one piece of content data is distributed to the one user by one content distribution platform in a plurality of content distribution platforms, and the content data distribution capacity of each content distribution platform is positively related to resource expense;
dividing the plurality of user groups into a first user group and a second user group according to the user index data, wherein the service experience of the first user group is better than that of the second user group;
Determining a first content distribution platform and a second content distribution platform from the plurality of content distribution platforms according to the user index data, wherein the first content distribution platform comprises a content distribution platform with a cost performance parameter meeting a preset cost performance condition, the value of the cost performance parameter is positively correlated with the content data distribution capability and negatively correlated with the resource expense, the second content distribution platform comprises a content distribution platform with platform index data meeting a preset index condition, the platform index data is used for evaluating the content distribution capability of the content distribution platform relative to a target parameter, and the target parameter represents a user parameter with the influence degree of the service experience of users in the second user group meeting the preset influence condition;
the first group of users is configured to distribute content data through the first content distribution platform and the second group of users is configured to distribute content data through the second content distribution platform.
2. The method of claim 1, wherein the dividing the plurality of user groups into a first user group and a second user group according to the user index data comprises:
Determining group index data corresponding to each user group in the plurality of user groups according to the user index data, wherein the group index data represents an average value of the user index data of each user in the corresponding user group;
and arranging the group index data in descending order to obtain a first user group and a second user group, wherein the first user group comprises A user groups with the group index data being ranked at the front, the second user group comprises B user groups with the group index data being ranked at the rear, A, B are positive integers, the sum of the number of the groups of the first user group and the number of the groups of the second user group is not more than the total number of the groups of the plurality of user groups, and A, B is a natural number.
3. The method according to claim 1, wherein the method further comprises:
determining a third user group according to the first user group and the second user group when the sum of the group number of the first user group and the group number of the second user group is smaller than the total group number of the plurality of user groups, wherein the third user group is other user groups except the first user group and the second user group in the plurality of user groups;
Acquiring a plurality of distribution index data corresponding to the plurality of content distribution platforms one by one, wherein the distribution index data are used for evaluating the content data distribution capacity of the corresponding content distribution platform;
determining a third content distribution platform according to the plurality of distribution index data, wherein the third content distribution platform is a content distribution platform of which the distribution index data meets preset distribution index conditions;
the third group of users is configured to distribute content data through the third content distribution platform.
4. A method according to claim 3, characterized in that the method further comprises:
dividing the third user group into a plurality of user subgroups according to a predetermined dividing ratio, wherein the plurality of user subgroups comprise a first user subgroup, a second user subgroup and a third user subgroup, the number of groups of the first user subgroup is larger than the number of groups of the second user subgroup, and the number of groups of the second user subgroup is larger than the number of groups of the third user subgroup;
determining the third content distribution platform with the first distribution index data rank, the third content distribution platform with the second distribution index data rank and the third content distribution platform with the third distribution index data rank according to the plurality of distribution index data;
Configuring the first subgroup of users to distribute content data through the third content distribution platform whose distribution index data is first ranked;
configuring said second subgroup of users to distribute content data through said third content distribution platform of which said distribution index data is second ranked;
the third subgroup of users is configured to distribute content data through the third content distribution platform whose distribution index data ranks third.
5. The method according to claim 1, wherein the method further comprises:
acquiring a plurality of user parameter sets sent by each user in a target user group, wherein different user parameters in each user parameter set are commonly used for determining the user index data of the corresponding user, and the plurality of user groups comprise the target user group;
determining a plurality of service experience levels according to the plurality of user parameter sets, wherein each service experience level is used for indicating the service experience of a corresponding user relative to the target user group;
and configuring a target user to distribute content data at least through the first content distribution platform or the second content distribution platform according to a target service experience level, wherein the service experience levels comprise the target service experience level, and the target service experience level corresponds to the target user.
6. The method of claim 5, wherein said determining a plurality of business experience levels from said plurality of user parameter sets comprises:
determining a plurality of user index data corresponding to each user in a target user group one by one according to the plurality of user parameter sets;
determining the service experience levels according to the sorting positions of the user index data in the user index data, wherein the service experience levels comprise a first level, a second level and a third level, the first level represents that the user index data associated with the corresponding user is located in the first N pieces of the user index data, the second level represents that the user index data of the corresponding user is located in the last M pieces of the user index data, the third level represents that the corresponding user is other users except the users corresponding to the first level and the second level in the target user group, the sum of the number of the users of the first level and the number of the users of the second level is smaller than the total number of the users of the target user group, and N, M is a natural number.
7. The method of claim 6, wherein configuring the target user to distribute content data via at least the first content distribution platform or the second content distribution platform according to a target business experience level comprises:
Configuring the target user to distribute content data through the first content distribution platform in the case that the target service experience level is the first level;
and configuring the target user to distribute content data through the second content distribution platform under the condition that the target service experience level is the second level.
8. The method of claim 6, wherein the method further comprises:
determining a sorting index set according to a target user parameter set corresponding to the target user and the plurality of user parameter sets under the condition that the target service experience level is the third level, wherein each sorting index in the sorting index set is used for representing the sorting position of each user parameter in the target user parameter set in the plurality of user parameter sets;
determining target user parameters meeting preset sorting conditions according to the sorting index set, and determining a fourth content distribution platform based on the target user parameters, wherein the fourth content distribution platform comprises a content distribution platform meeting preset distribution capability conditions after sorting the distribution capability of the target user parameters;
The target user is configured to distribute content data through the fourth content distribution platform.
9. The method of claim 6, wherein the method further comprises:
configuring the target user to distribute content data through the first content distribution platform, in a case where the second user group includes the target user group and the business experience level of the target user is the first level;
in the case where the first user group includes the target user group and the business experience level of the target user is the second level, the target user is configured to distribute content data through the second content distribution platform.
10. The method of claim 6, wherein the method further comprises:
determining a third user group according to the first user group and the second user group when the sum of the group number of the first user group and the group number of the second user group is smaller than the total group number of the plurality of user groups, wherein the third user group is other user groups except the first user group and the second user group in the plurality of user groups;
Configuring the target user to distribute content data through the first content distribution platform, in a case where the third user group includes the target user group and the business experience level of the target user is the first level;
in the case where the third group of users includes the target group of users and the level of business experience of the target user is the second level, the target user is configured to distribute content data through the second content distribution platform.
11. The method of any of claims 1 to 10, wherein the configuring the first group of users to distribute content data through the first content distribution platform and the configuring the second group of users to distribute content data through the second content distribution platform comprises:
acquiring group service experience level identifiers of the first user group and the second user group, wherein the group service experience level identifiers are determined by the user index data;
and sending the first positioning information corresponding to the first content distribution platform to a domain name system associated with the first user group according to the group service experience grade identification, and sending the second positioning information corresponding to the second content distribution platform to a domain name system associated with the second user group, wherein the domain name system is used for responding to a content data request message sent by a terminal device and forwarding the content data corresponding to the first content distribution platform or the second content distribution platform to the terminal device.
12. A content data distribution apparatus, comprising:
the system comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving user index data sent by each user in a plurality of user groups, wherein the user index data is used for evaluating the service experience of one user for one piece of content data, the one piece of content data is distributed to the one user by one content distribution platform in a plurality of content distribution platforms, and the content data distribution capacity of each content distribution platform is positively correlated with resource expense;
the dividing module is used for dividing the plurality of user groups into a first user group and a second user group according to the user index data, wherein the service experience of the first user group is better than that of the second user group;
a determining module, configured to determine a first content distribution platform and a second content distribution platform from the plurality of content distribution platforms according to the user index data, where the first content distribution platform includes a content distribution platform whose cost performance parameter satisfies a preset cost performance condition, a value of the cost performance parameter is positively correlated with the content data distribution capability and is negatively correlated with the resource overhead, and the second content distribution platform includes a content distribution platform whose platform index data satisfies a preset index condition, where the platform index data is used to evaluate the content distribution capability of the content distribution platform with respect to a target parameter, and the target parameter represents a user parameter whose influence degree on service experience of users in the second user group satisfies a preset influence condition;
And the configuration module is used for configuring the first user group to distribute content data through the first content distribution platform and configuring the second user group to distribute content data through the second content distribution platform.
13. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program is executable by a terminal device or a computer to perform the method of any one of claims 1 to 11.
14. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method according to any of the claims 1 to 11 by means of the computer program.
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