CN109788326B - Video resource pre-pushing method, device and system - Google Patents
Video resource pre-pushing method, device and system Download PDFInfo
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- CN109788326B CN109788326B CN201910026355.0A CN201910026355A CN109788326B CN 109788326 B CN109788326 B CN 109788326B CN 201910026355 A CN201910026355 A CN 201910026355A CN 109788326 B CN109788326 B CN 109788326B
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Abstract
The embodiment of the invention provides a method, a device and a system for pre-pushing video resources, wherein the method comprises the following steps: the method comprises the steps of obtaining online probabilities of all clients, wherein the online probabilities represent the probabilities that the clients are online in the daytime period and the late peak period; based on the online probabilities of the clients, pre-pushing video resources to the clients of which the online probabilities meet preset conditions; by applying the embodiment of the invention, the client terminal which is pre-pushed with the video resource is more likely to be on-line in the daytime and the evening peak time compared with other client terminals, so that the video resource is shared more effectively.
Description
Technical Field
The invention relates to the technical field of video terminals, in particular to a method, a device and a system for pre-pushing video resources.
Background
In the process of pre-pushing, the pushing server sends a seed address (the seed address may also be understood as a download link) of a resource to be pushed to a P2P (Peer-to-Peer) uploading end, then the P2P uploading end uses the address to download a video resource on a CDN (Content Delivery Network) server, and when the video is played at late peak, the P2P downloading end can download the video resource from the P2P uploading end to play. If there is no pre-push, all the P2P download terminals need to download resources from the CDN server, which increases the load on the CDN server.
Therefore, in order to reduce the access amount of the CDN during the late peak time period of video viewing, reduce the access pressure of the CDN server, and save the CDN bandwidth cost, meanwhile, in order to improve the sharing ratio of the late peak P2P, some specific video resources may be pre-pushed to the P2P uploading end in advance, so that the sharing bandwidth of the P2P is improved during the peak time period, the download pressure on the CDN server (i.e., the seed server) is relieved, and the P2P download is assisted.
The P2P uploading end is mainly a client, the P2P downloading end is mainly a mobile device, the push server cannot distinguish the P2P uploading end due to the limitation of its own service and unidirectional limitation of the existing push flow, so a random selection mode is adopted, a certain number of P2P uploading end devices are randomly selected for pushing, the pushed P2P uploading end devices may not provide P2P uploading service due to the shutdown of the devices, the software is shut down and the like in the late peak period, on one hand, the waste of pre-pushed resources is caused, on the other hand, the online devices are not enough to meet the requirement of P2P uploading, so that part of the P2P downloading ends select to download video resources from the CDN server, and thus the access pressure of the CDN server is increased.
The existing pre-push system mainly pushes video resources to the client, the pre-push time period is day, and the download peak is usually between 7 to 11 pm. Through observing that only less than half of the clients which are usually online in the daytime are still online when the clients are online late, the pre-pushing server can not count the probability that the clients are online late and peak online late, so that a large amount of video resources which are pre-pushed in the daytime can not be used at the late peak, the situation of resource waste is caused, the effect of reducing the CDN access amount is not achieved in the late peak time period, the access pressure of the CDN server in the network equipment still exists, and the pre-pushing efficiency is reduced.
Disclosure of Invention
The embodiment of the invention aims to provide a method, a device and a system for pre-pushing video resources, so as to improve the pre-pushing efficiency. The specific technical scheme is as follows:
the embodiment of the invention provides a video resource pre-pushing method, which comprises the following steps:
acquiring the online probability of each client, wherein the online probability represents the probability that the client is online in the daytime and the late peak;
and pre-pushing video resources to the clients of which the online probabilities meet preset conditions in the clients based on the online probabilities of the clients.
Further, the online probability of the client is determined by adopting the following steps:
determining whether the client is online at the daytime time and the late peak time based on the time of uploading information of the client aiming at the daytime time and the late peak time of each day in preset days;
and dividing the number of days of online in the daytime period and the late peak period by the number of days of online in the daytime period to obtain the online probability of the client.
Further, the pre-pushing a video resource to a client of which the online probability meets a preset condition among the clients based on the online probability of each client includes:
pre-pushing video resources to the client with the online probability larger than a preset probability threshold value in the clients; or
And pre-pushing video resources to the clients with the preset number in the top sequence in the clients according to the sequence of the online probabilities from high to low.
Further, the pre-pushing a video resource to a client of which the online probability meets a preset condition among the clients based on the online probability of each client includes:
pre-pushing a first hot video resource to a client with the online probability larger than a first preset probability threshold value in the clients;
and pre-pushing a second hot video resource to the client side of which the online probability is not greater than a first preset probability threshold value in the clients, wherein the hot degree of the first hot video resource is greater than that of the second hot video resource.
Further, the pre-pushing a video resource to a client of which the online probability meets a preset condition among the clients based on the online probability of each client includes:
pre-pushing a first hot video resource to a client with the online probability larger than a first preset probability threshold value in the clients;
pre-pushing a second hot video resource to a client with the online probability not greater than a first preset probability threshold and greater than a second preset probability threshold in the clients, wherein the first preset probability threshold is greater than the second preset probability threshold, and the hot degree of the first hot video resource is greater than that of the second hot video resource;
and pre-pushing a third hot video resource to the client side of which the online probability is not greater than a second preset probability threshold value in the clients, wherein the hot degree of the second hot video resource is greater than that of the third hot video resource.
The embodiment of the invention also provides a video resource pre-pushing device, which comprises:
the probability acquisition module is used for acquiring the online probability of each client, wherein the online probability represents the probability that the client is online in the daytime and the late peak time;
and the resource pre-pushing module is used for pre-pushing video resources to the client sides of which the online probabilities meet preset conditions in the clients based on the online probabilities of the clients.
Further, the method also comprises the following steps:
the probability determination module is used for determining the online probability of the client by adopting the following steps:
determining whether the client is online at the daytime time and the late peak time based on the time of uploading information of the client aiming at the daytime time and the late peak time of each day in preset days;
and dividing the number of days of online in the daytime period and the late peak period by the number of days of online in the daytime period to obtain the online probability of the client.
Further, the resource pre-pushing module is specifically configured to pre-push video resources to the clients of which the online probabilities are greater than a preset probability threshold among the clients; or, according to the sequence of the online probability from high to low, pre-pushing the video resources to the clients with the preset number in the top sequence among the clients.
Further, the resource pre-pushing module is specifically configured to pre-push a first hot video resource to a client of the clients whose online probability is greater than a first preset probability threshold; and pre-pushing a second hot video resource to the client side of which the online probability is not greater than a first preset probability threshold value in the clients, wherein the hot degree of the first hot video resource is greater than that of the second hot video resource.
Further, the resource pre-pushing module is specifically configured to pre-push a first hot video resource to a client of the clients whose online probability is greater than a first preset probability threshold; pre-pushing a second hot video resource to a client of which the online probability is not greater than a first preset probability threshold and is greater than a second preset probability threshold, wherein the first preset probability threshold is greater than the second preset probability threshold, and the hot degree of the first hot video resource is greater than that of the second hot video resource; and pre-pushing a third hot video resource to the client side of which the online probability is not greater than a second preset probability threshold value in the clients, wherein the hot degree of the second hot video resource is greater than that of the third hot video resource.
The embodiment of the invention also provides electronic equipment which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the steps of any video resource pre-pushing method when executing the program stored in the memory.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the steps of any one of the video resource pre-pushing methods described above are implemented.
The embodiment of the present invention further provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the steps of any one of the video resource pre-pushing methods described above.
The embodiment of the invention also provides a method and a system for pre-pushing the video resources, wherein the system comprises the following steps:
the traffic statistic server is used for determining the online probability of each client, wherein the online probability represents the probability that the client is online in the daytime and the late peak time; sending the online probability of each client to the push server;
the pushing server is used for receiving the online probabilities of the clients sent by the flow statistics server; and pre-pushing video resources to the clients of which the online probabilities meet preset conditions in the clients based on the online probabilities of the clients.
Further, the traffic statistic server is specifically configured to determine, for a daytime period and a late peak period of each day in preset days, whether the client is online at both the daytime period and the late peak period based on a time at which the client uploads information; and dividing the number of days of online in the daytime period and the late peak period by the number of days of online in the daytime period to obtain the online probability of the client.
Further, the push server is specifically configured to pre-push video resources to the clients of which the online probabilities are greater than a preset probability threshold among the clients; or, according to the sequence of the online probability from high to low, pre-pushing the video resources to the clients with the preset number in the top sequence among the clients.
Further, the push server is specifically configured to pre-push a first hot video resource to a client of the clients whose online probability is greater than a first preset probability threshold; and pre-pushing a second hot video resource to the client side of which the online probability is not greater than a first preset probability threshold value in the clients, wherein the hot degree of the first hot video resource is greater than that of the second hot video resource.
Further, the push server is specifically configured to pre-push a first hot video resource to a client of the clients whose online probability is greater than a first preset probability threshold; pre-pushing a second hot video resource to a client of which the online probability is not greater than a first preset probability threshold and is greater than a second preset probability threshold, wherein the first preset probability threshold is greater than the second preset probability threshold, and the hot degree of the first hot video resource is greater than that of the second hot video resource; and pre-pushing a third hot video resource to the client side of which the online probability is not greater than a second preset probability threshold value in the clients, wherein the hot degree of the second hot video resource is greater than that of the third hot video resource.
Further, the traffic statistics server is specifically configured to send a high probability list to the push server, where the high probability list includes the online probability of the client whose online probability is greater than a preset probability threshold;
the push server is specifically configured to pre-push the video resource to the client included in the high probability list.
Further, the traffic statistics server is specifically configured to send an online probability list to the push server, where the online probability list includes a high probability list and a medium probability list, the high probability list includes clients whose online probabilities are greater than a first preset probability threshold and their online probabilities, and the medium probability list includes clients whose online probabilities are not greater than the first preset probability threshold and their online probabilities;
the push server is specifically configured to pre-push a first hot video resource to the client included in the high probability list; pre-pushing a second hot video resource to a client side contained in the medium probability list; the hot degree of the first hot video resource is greater than the hot degree of the second hot video resource.
Further, the traffic statistics server is specifically configured to send an online probability list to the push server, where the online probability list includes a high probability list, a medium probability list, and a low probability list, the high probability list includes clients whose online probabilities are greater than a first preset probability threshold and their online probabilities, the medium probability list includes clients whose online probabilities are not greater than the first preset probability threshold and are greater than a second preset probability threshold and their online probabilities, the low probability list includes clients whose online probabilities are not greater than the second preset probability threshold and their online probabilities, and the first preset probability threshold is greater than the second preset probability threshold;
the push server is specifically configured to pre-push a first hot video resource to the client included in the high probability list; pre-pushing a second hot video resource to a client side contained in the medium probability list; pre-pushing a third hot video resource to the client side contained in the low probability list; the hot degree of the second hot video resource is less than the hot degree of the first hot video resource and greater than the hot degree of the third hot video resource.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a video resource pre-pushing method, which comprises the steps of obtaining the online probability of each client, wherein the online probability represents the probability that the client is online in the daytime and the evening peak time, and pre-pushing video resources to the client of which the online probability meets the preset condition in each client based on the online probability of each client. By adopting the scheme, compared with other clients, the client which is pushed the video resources in advance is more likely to be online in the daytime and the evening peak time, so that the video resources are shared more effectively.
Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a flowchart of a video resource pre-push method according to an embodiment of the present invention;
fig. 2 is a detailed flowchart of an embodiment of a video resource pre-push method according to the present invention;
fig. 3 is a detailed flowchart of a video resource pre-push method according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a video resource pre-pushing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a video resource pre-push system according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.
An embodiment of the present invention provides a video resource pre-pushing method, which may specifically include the following steps, as shown in fig. 1, where a client may be a PC client, and a mobile terminal such as a mobile phone and a tablet computer.
And 102, pre-pushing video resources to the clients of which the online probabilities meet preset conditions in the clients based on the online probabilities of the clients.
By adopting the video resource pre-pushing method provided by the embodiment of the invention, compared with other clients, the client of the pre-pushed video resource is more likely to be online in the daytime and the evening peak time, so that the video resource is more effectively shared.
For the online probability of the client in the video resource pre-pushing method, in an embodiment of the present invention, the online probability of the client may specifically be determined by the following steps:
determining whether the client is online at the daytime time and the late peak time based on the time of uploading information of the client aiming at the daytime time and the late peak time of each day in preset days;
and dividing the number of days of online in the daytime period and the late peak period by the number of days of online in the daytime period to obtain the online probability of the client.
For example, for a certain client, taking 10 preset days as an example, in the 10 days, assuming that the number of days that the client is online in the daytime period and the late peak period is 7, and the number of days that the client is online in the daytime period is 10, the online probability is 7 divided by 10 to be 70%, assuming that the number of days that the client is online in the daytime period and the late peak period is 5, and the number of days that the client is online in the daytime period is 8, the online probability is 5 divided by 8 to be 62.5%.
For the video resource pre-pushed to the client whose online probability meets the preset condition in the step 102, it means that, for different clients, the video resource is pre-pushed to the client whose online probability is relatively high, specifically, the following two ways may be adopted:
the first mode is as follows: and pre-pushing video resources to the client with the online probability greater than the preset probability threshold value, for example, the preset probability threshold value is 85%.
The second mode is as follows: and pre-pushing the video resources to the clients with the preset number in the top sequence in each client according to the sequence of the online probability from high to low.
The video resource pre-push method provided by the embodiment of the invention is described in detail below with reference to the accompanying drawings.
In an embodiment of the present invention, the video resource pre-push method may be executed by a push server, as shown in fig. 2, and specifically includes the following steps:
In this step, the online probability of the client may be determined in the above manner, and may specifically be determined by the traffic statistics server and sent to the push server, where the specific process may be as follows:
and the flow statistics server counts the online probability of each client and generates an online probability list, wherein the online probability list comprises a high probability list and a medium probability list.
The high probability list comprises clients of which the online probability is greater than a first preset probability threshold, and the medium probability list comprises clients of which the online probability is not greater than the first preset probability threshold.
And 203, pre-pushing a first hot video resource to the client with the determined online probability greater than a first preset probability threshold.
And step 204, pre-pushing a second hot video resource to the client with the online probability not greater than the first preset probability threshold value in each client. For example, a client that determines a medium probability list from the above online probability lists.
Wherein the hot degree of the first hot video resource is greater than the hot degree of the second hot video resource.
The above steps 203 and 204 are not in strict sequence, and may also be executed simultaneously.
By adopting the video resource pre-pushing method shown in fig. 2, the video resource with high popularity is pre-pushed to the client with relatively high online probability, so that the sharing efficiency of the video resource with high popularity is further improved.
In an embodiment of the present invention, the video resource pre-pushing method may be executed by a push server, as shown in fig. 3, and specifically includes the following steps:
In this step, the online probability of the client may be determined in the above manner, and may specifically be determined by the traffic statistics server and sent to the push server, where the specific process may be as follows:
the traffic statistic server counts the online probability of each client and generates an online probability list, wherein the online probability list comprises a high probability list, a medium probability list and a low probability list.
The high probability list comprises clients of which the online probability is greater than a first preset probability threshold, the medium probability list comprises clients of which the online probability is not greater than the first preset probability threshold and is greater than a second preset probability threshold, and the low probability list comprises clients of which the online probability is not greater than the second preset probability threshold.
And step 303, pre-pushing a first hot video resource to the client with the determined online probability greater than a first preset probability threshold. For example, the client of the high probability list is determined from the online probability list.
And step 304, pre-pushing a second hot video resource to the client with the online probability not greater than the first preset probability threshold and greater than the second preset probability threshold in all the clients. For example, a client that determines a medium probability list from the above online probability lists.
The first preset probability threshold is larger than the second preset probability threshold, and the hot degree of the first hot video resource is larger than that of the second hot video resource.
And 305, pre-pushing a third hot video resource to a client of which the online probability is not greater than a second preset probability threshold value in each client. For example, a client with a low probability list is determined from the online probability list.
Wherein the hot degree of the second hot video resource is greater than the hot degree of the third hot video resource.
The steps 303, 304 and 305 may be executed simultaneously without strict sequence.
By adopting the video resource pre-pushing method shown in fig. 3, the video resources with high popularity degree are pre-pushed to the client in the high probability list, so that the sharing efficiency of the video resources with high popularity degree is further improved.
Based on the same inventive concept, according to the video resource pre-pushing method provided in the foregoing embodiment of the present invention, correspondingly, an embodiment of the present invention further provides a video resource pre-pushing device, as shown in fig. 4, including:
a probability obtaining module 401, configured to obtain an online probability of each client, where the online probability represents a probability that the client is online in a daytime period and a late peak period;
and a resource pre-pushing module 402, configured to pre-push video resources to a client whose online probability meets a preset condition among the clients based on the online probability of each client.
Further, the probability determining module 403 is configured to determine the online probability of the client by using the following steps:
determining whether the client is online at the daytime time and the late peak time based on the time of uploading information of the client aiming at the daytime time and the late peak time of each day in preset days;
and dividing the number of days of online in the daytime period and the late peak period by the number of days of online in the daytime period to obtain the online probability of the client.
Further, the resource pre-pushing module 402 is specifically configured to pre-push video resources to clients whose online probabilities are greater than a preset probability threshold among the clients; or, according to the sequence of the online probability from high to low, pre-pushing the video resources to the clients with the preset number in the top sequence in each client.
Further, the resource pre-pushing module 402 is specifically configured to pre-push a first hot video resource to a client of which an online probability is greater than a first preset probability threshold among the clients; and pre-pushing a second hot video resource to a client with an online probability not greater than a first preset probability threshold value in each client, wherein the hot degree of the first hot video resource is greater than that of the second hot video resource.
Further, the resource pre-pushing module 402 is specifically configured to pre-push a first hot video resource to a client of which an online probability is greater than a first preset probability threshold among the clients; pre-pushing a second hot video resource to a client of which the online probability is not greater than a first preset probability threshold and is greater than a second preset probability threshold, wherein the first preset probability threshold is greater than the second preset probability threshold, and the hot degree of the first hot video resource is greater than that of the second hot video resource; and pre-pushing a third hot video resource to a client with an online probability not greater than a second preset probability threshold value in each client, wherein the hot degree of the second hot video resource is greater than that of the third hot video resource.
Based on the same inventive concept, according to the video resource pre-pushing method provided in the foregoing embodiment of the present invention, correspondingly, an embodiment of the present invention further provides a video resource pre-pushing system, as shown in fig. 5, including:
the traffic statistics server 502 is configured to determine an online probability of each client 501, where the online probability represents a probability that the client 501 is online in a daytime and a late peak; and sends the online probabilities of the clients 501 to the push server 503;
the push server 503 is configured to receive the online probability of each client 501 sent by the traffic statistics server 502; based on the online probability of each client 501, the video resource is pre-pushed to the client 501 of which the online probability meets the preset condition in each client 501.
Further, the traffic statistics server 502 is specifically configured to determine, for the daytime period and the late peak period of each day in the preset number of days, whether the client 501 is online at both the daytime period and the late peak period based on the time at which the client 501 uploads information; and divides the number of days that the client terminal 501 is online in the daytime period and the late peak period by the number of days that the client terminal is online in the daytime period to obtain the online probability of the client terminal 501.
Further, the push server 503 is specifically configured to pre-push video resources to the clients 501 of which the online probability is greater than the preset probability threshold among the clients 501; or, pre-pushing the video resources to the clients 501 in the preset number ranked at the top among the clients 501 according to the sequence from high to low of the online probability.
Further, the push server 503 is specifically configured to pre-push the first hot video resource to the client 501 of which the online probability is greater than the first preset probability threshold among the clients 501; and pre-pushing a second hot video resource to the client 501 with the online probability not greater than the first preset probability threshold in each client 501, wherein the hot degree of the first hot video resource is greater than that of the second hot video resource.
Further, the push server 503 is specifically configured to pre-push the first hot video resource to the client 501 of which the online probability is greater than the first preset probability threshold among the clients 501; pre-pushing a second hot video resource to the client 501 of which the online probability is not greater than a first preset probability threshold and is greater than a second preset probability threshold in each client 501, wherein the first preset probability threshold is greater than the second preset probability threshold, and the hot degree of the first hot video resource is greater than that of the second hot video resource; and pre-pushing a third hot video resource to the client 501 with the online probability not greater than the second preset probability threshold in each client 501, wherein the hot degree of the second hot video resource is greater than that of the third hot video resource.
Further, the traffic statistics server 502 is specifically configured to send a high probability list to the push server 503, where the high probability list includes an online probability of a client whose online probability is greater than a preset probability threshold;
the push server 503 is specifically configured to pre-push the video resource to the client 501 included in the high probability list.
Further, the traffic statistics server 502 is specifically configured to send an online probability list to the push server 503, where the online probability list includes a high probability list and a medium probability list, the high probability list includes the client 501 whose online probability is greater than the first preset probability threshold and its online probability, and the medium probability list includes the client 501 whose online probability is not greater than the first preset probability threshold and its online probability;
the push server 503 is specifically configured to pre-push the first popular video resource to the client 501 included in the high probability list; pre-pushing a second hot video resource to the client 501 contained in the medium probability list; the first trending video resource is trended to a greater extent than the second trending video resource.
Further, the traffic statistics server 502 is specifically configured to send an online probability list to the push server 503, where the online probability list includes a high probability list, a medium probability list, and a low probability list, where the high probability list includes the client 501 whose online probability is greater than a first preset probability threshold and its online probability, the medium probability list includes the client 501 whose online probability is not greater than the first preset probability threshold and is greater than a second preset probability threshold and its online probability, the low probability list includes the client 501 whose online probability is not greater than the second preset probability threshold and its online probability, and the first preset probability threshold is greater than the second preset probability threshold;
the push server 503 is specifically configured to pre-push the first popular video resource to the client 501 included in the high probability list; pre-pushing a second hot video resource to the client 501 contained in the medium probability list; pre-pushing a third hot video resource to the client 501 contained in the low probability list; the second hot video resource is less hot than the first hot video resource is more hot than the third hot video resource.
Based on the same inventive concept, according to the video resource pre-push method provided by the foregoing embodiment of the present invention, correspondingly, an embodiment of the present invention further provides an electronic device, as shown in fig. 6, including a processor 601, a communication interface 602, a memory 603, and a communication bus 604, where the processor 601, the communication interface 602, and the memory 603 complete mutual communication through the communication bus 604,
a memory 603 for storing a computer program;
the processor 601 is configured to implement the steps of any of the video resource pre-push methods described above when executing the program stored in the memory 603.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In another embodiment of the present invention, a computer-readable storage medium is further provided, where a computer program is stored in the computer-readable storage medium, and when executed by a processor, the computer program implements the steps of any one of the video resource pre-push methods described above.
In another embodiment of the present invention, there is also provided a computer program product containing instructions, which when run on a computer, causes the computer to execute any one of the video resource pre-pushing methods in the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus and system embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (11)
1. A video resource pre-pushing method is characterized by comprising the following steps:
acquiring online probabilities of clients, wherein the clients are P2P peer-to-peer network uploading terminals, and the online probabilities represent the probabilities that the clients are online in the daytime and the late peak hours;
based on the online probability of each client, pre-pushing video resources to the client of which the online probability meets a preset condition;
the method comprises the following steps of:
determining whether the client is online at the daytime time and the late peak time based on the time of uploading information of the client aiming at the daytime time and the late peak time of each day in preset days;
and dividing the number of days of online in the daytime period and the late peak period by the number of days of online in the daytime period to obtain the online probability of the client.
2. The method according to claim 1, wherein the pre-pushing video resources to the client of the clients whose online probability satisfies a preset condition based on the online probability of each client comprises:
pre-pushing video resources to the client with the online probability larger than a preset probability threshold value in the clients; or
And pre-pushing video resources to the clients with the preset number in the top sequence in the clients according to the sequence of the online probabilities from high to low.
3. The method according to claim 1, wherein the pre-pushing video resources to the client of the clients whose online probability satisfies a preset condition based on the online probability of each client comprises:
pre-pushing a first hot video resource to a client with the online probability larger than a first preset probability threshold value in the clients;
and pre-pushing a second hot video resource to the client side of which the online probability is not greater than a first preset probability threshold value in the clients, wherein the hot degree of the first hot video resource is greater than that of the second hot video resource.
4. The method according to claim 1, wherein the pre-pushing video resources to the client of the clients whose online probability satisfies a preset condition based on the online probability of each client comprises:
pre-pushing a first hot video resource to a client with the online probability larger than a first preset probability threshold value in the clients;
pre-pushing a second hot video resource to a client with the online probability not greater than a first preset probability threshold and greater than a second preset probability threshold in the clients, wherein the first preset probability threshold is greater than the second preset probability threshold, and the hot degree of the first hot video resource is greater than that of the second hot video resource;
and pre-pushing a third hot video resource to the client side of which the online probability is not greater than a second preset probability threshold value in the clients, wherein the hot degree of the second hot video resource is greater than that of the third hot video resource.
5. A video resource pre-push system, the system comprising:
the traffic statistic server is used for determining the online probability of each client, wherein the client is a P2P peer-to-peer network uploading end, and the online probability represents the probability that the client is online in the daytime and the late peak hours; sending the online probability of each client to a push server;
the pushing server is used for receiving the online probabilities of the clients sent by the flow statistics server; based on the online probability of each client, pre-pushing video resources to the client of which the online probability meets a preset condition;
the traffic statistic server is specifically used for determining whether the client is online at the daytime period and the late peak period based on the time of uploading information by the client aiming at the daytime period and the late peak period of each day in preset days; and dividing the number of days of online in the daytime period and the late peak period by the number of days of online in the daytime period to obtain the online probability of the client.
6. The system according to claim 5, wherein the push server is specifically configured to pre-push video resources to the client with the online probability greater than a preset probability threshold among the clients; or, according to the sequence of the online probability from high to low, pre-pushing the video resources to the clients with the preset number in the top sequence among the clients.
7. The system according to claim 5, wherein the push server is specifically configured to pre-push a first popular video resource to the client of the clients whose online probability is greater than a first preset probability threshold; and pre-pushing a second hot video resource to the client side of which the online probability is not greater than a first preset probability threshold value in the clients, wherein the hot degree of the first hot video resource is greater than that of the second hot video resource.
8. The system according to claim 5, wherein the push server is specifically configured to pre-push a first popular video resource to the client of the clients whose online probability is greater than a first preset probability threshold; pre-pushing a second hot video resource to a client of which the online probability is not greater than a first preset probability threshold and is greater than a second preset probability threshold, wherein the first preset probability threshold is greater than the second preset probability threshold, and the hot degree of the first hot video resource is greater than that of the second hot video resource; and pre-pushing a third hot video resource to the client side of which the online probability is not greater than a second preset probability threshold value in the clients, wherein the hot degree of the second hot video resource is greater than that of the third hot video resource.
9. The system according to claim 5, wherein the traffic statistics server is specifically configured to send a high probability list to the push server, where the high probability list includes the online probability of the client whose online probability is greater than a preset probability threshold;
the push server is specifically configured to pre-push the video resource to the client included in the high probability list.
10. The system according to claim 5, wherein the traffic statistics server is specifically configured to send an online probability list to the push server, where the online probability list includes a high probability list and a medium probability list, the high probability list includes clients whose online probabilities are greater than a first preset probability threshold and their online probabilities, and the medium probability list includes clients whose online probabilities are not greater than the first preset probability threshold and their online probabilities;
the push server is specifically configured to pre-push a first hot video resource to the client included in the high probability list; pre-pushing a second hot video resource to a client side contained in the medium probability list; the hot degree of the first hot video resource is greater than the hot degree of the second hot video resource.
11. The system according to claim 5, wherein the traffic statistics server is specifically configured to send an online probability list to the push server, where the online probability list includes a high probability list, a medium probability list, and a low probability list, the high probability list includes clients whose online probabilities are greater than a first preset probability threshold and their online probabilities, the medium probability list includes clients whose online probabilities are not greater than the first preset probability threshold and are greater than a second preset probability threshold and their online probabilities, the low probability list includes clients whose online probabilities are not greater than the second preset probability threshold and their online probabilities, and the first preset probability threshold is greater than the second preset probability threshold;
the push server is specifically configured to pre-push a first hot video resource to the client included in the high probability list; pre-pushing a second hot video resource to a client side contained in the medium probability list; pre-pushing a third hot video resource to the client side contained in the low probability list; the hot degree of the second hot video resource is less than the hot degree of the first hot video resource and greater than the hot degree of the third hot video resource.
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| CN111556352B (en) * | 2020-03-27 | 2022-06-10 | 北京达佳互联信息技术有限公司 | Multimedia resource sharing method and device, electronic equipment and storage medium |
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