CN104735481A - Video content distribution scheduling method, servers and system - Google Patents
Video content distribution scheduling method, servers and system Download PDFInfo
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- CN104735481A CN104735481A CN201310704802.6A CN201310704802A CN104735481A CN 104735481 A CN104735481 A CN 104735481A CN 201310704802 A CN201310704802 A CN 201310704802A CN 104735481 A CN104735481 A CN 104735481A
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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
- H04N21/25—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
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26258—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/238—Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
- H04N21/2385—Channel allocation; Bandwidth allocation
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Abstract
The invention provides a video content distribution scheduling method. The method includes the steps of receiving video content distribution data and status data of an edge server, determining service quality parameters according to the video content distribution data and the status data of the edge server, determining operating cost parameters, establishing a mapping relation between service quality and operating cost through the service quality parameters and the operating cost parameters on the basis of system resources, determining distribution scheduling strategies of video content according to marketing strategies and the mapping relation between the service quality and the operating cost, and sending the distribution scheduling strategies of the video content to a source server so that the source server can conduct distribution scheduling on the video content on the basis of the distribution scheduling strategies of the video content. According to the video content distribution scheduling method, the contradiction among the operating cost, the service quality and the marketing strategies is reconciled, and the operating cost can be reduced while the marketing strategies are taken into account and the service quality is guaranteed.
Description
Technical field
The present invention relates to video content distribution scheduling technical field, particularly relate to a kind of video content distribution scheduling method, server and system.
Background technology
Video content distributing network VCDN system is the core infrastructures that video service provider pays extensive content, large-scale VCDN system can cover the user of more than one hundred million scale, it is by powerful source service centre and the edge service node being distributed in various places, and the multilevel coordination node of centre can provide up to ten million concurrent services ability, the terminal mulch-laying machine top box, PC, mobile phone, panel computer etc. that can serve, the content of paying also comprises the video of various code check, and support live, program request, time shift, review, the business such as nPVR.
Typical VCDN system comprises: source server, Edge Server and routing server.Wherein, source server is used for obtaining video content from video content source, and video content is distributed to Edge Server, and source server is generally many clustered nodes be made up of server, can store whole video contents, as the center of video operation; Edge Server generally includes caching server and stream pushing server, caching server is used for the video content of buffer memory source server distribution, stream pushing server is used for when receiving video content access request, video content is obtained from caching server, video content is pushed to the terminal equipment of request video content, Edge Server is generally the service node being dispersed in various places, and each node comprises a small amount of server, to respond the request in certain area; Routing server is used for video content access request to be routed to the Edge Server with optimal service quality.
Inventor finds in the process realizing the invention: the problem that above-mentioned VCDN system one of facing is complicated is video content distribution scheduling problem, video content distribution scheduling refers to by set strategy, video content is distributed to another or several node from a node, video content distribution scheduling the complex nature of the problem is embodied in cannot blending, the contradiction of service quality and the marketing strategy, this is because, to control cost as the operation way of core will inevitably make service quality decline, guarantee service quality if want and must have influence on cost, simultaneously because marketing strategy essence is a kind of artificial scheduling mode, artificial dispatching method can produce interference and impact to video content distribution scheduling, therefore, needing badly provides one can blending, the video content distribution scheduling method of contradiction between service quality and the marketing strategy.
Summary of the invention
In view of this, the invention provides a kind of video distribution dispatching method, server and system, in order to be in harmonious proportion operation cost, contradiction between service quality and the marketing strategy, its technical scheme is as follows:
A kind of video content distribution scheduling method, comprising:
The status data of receiver, video content distribution data and Edge Server;
According to the status data determination QoS parameter of described video content distributing data and Edge Server, described QoS parameter comprises the availability parameters of video content, the response parameter of video request, the continuity parameter of video playback and video playing quality parameter;
Determine operation cost parameter, described operation cost parameter comprises system acquisition cost parameter, operation maintenance cost parameter, bandwidth cost parameter and third party's cost of serving parameter;
Set up the mapping relations of service quality and operation cost by described QoS parameter and described operation cost parameter based on system resource;
According to the distribution scheduling strategy of the mapping relations determination video content of the marketing strategy, described service quality and operation cost, the distribution scheduling strategy of described video content is used to indicate which node which video content is distributed to, and replaces which video content;
The distribution scheduling strategy of described video content is sent to source server, carries out carrying out distribution scheduling to video content based on the distribution scheduling strategy of described video content to make described source server.
Wherein, the described mapping relations being set up service quality and cost based on system resource by described QoS parameter and described cost parameter, being comprised:
Described QoS parameter is associated with described system resource;
By described system resource and described operation cost parameter association;
By described system resource by described QoS parameter and described operation cost parameter association, set up the mapping relations of service quality and operation cost.
Wherein, the mapping relations according to the marketing strategy, described service quality and operation cost determine the distribution scheduling strategy of video content to be distributed, comprising:
From the marketing strategy, determine the destination service node of video content to be pushed described in video content to be pushed and correspondence, the requirement of video content to cost to be pushed described in can meeting according to described destination service node determine described in treat the distribution scheduling strategy of pushing video content;
The service quality of video content is assessed by the mapping relations of described QoS parameter, described service quality and operation cost;
In conjunction with described in treat the distribution scheduling strategy of pushing video content, by the distribution scheduling strategy of the service quality determination video content of the video content of assessment.
Wherein, can meet according to described destination service node described in the requirement of video content to cost to be pushed determine described in treat that the distribution scheduling strategy of pushing video content is specially:
When described in described destination service node can meet wait the requirement of the video content pushed to cost time, the distribution scheduling strategy of video content to be pushed described in determining is to described destination service node by video distribution described to be pushed;
When described in described destination service node can not meet wait the requirement of the video content pushed to cost time, find out the video content needing most and be replaced, the distribution scheduling strategy of video content to be pushed described in determining needs most the video content be replaced described in video content replacement to be pushed described in use.
A kind of video content distribution scheduling server, comprising:
Data reception module, for the status data of receiver, video content distribution data and Edge Server;
First determination module, for the status data determination QoS parameter of the described video content distributing data that receives according to described data reception module and Edge Server, described QoS parameter comprises the availability parameters of video content, the response parameter of video request, the continuity parameter of video playback and video playing quality parameter;
Second determination module, for determining operation cost parameter, described operation cost parameter comprises system acquisition cost parameter, operation maintenance cost parameter, bandwidth cost parameter and third party's cost of serving parameter;
Mapping relations set up module, and the described operation cost parameter determined for the described QoS parameter determined by described first determination module based on system resource and described second determination module sets up the mapping relations of service quality and operation cost;
3rd determination module, for setting up the distribution scheduling strategy of the described service quality of module foundation and the mapping relations determination video content of operation cost according to the marketing strategy, described mapping relations, the distribution scheduling strategy of described video content is used to indicate which node which video content is distributed to, and replaces which video content;
Sending module, the distribution scheduling strategy for the described video content determined by described 3rd determination module is sent to source server, carries out carrying out distribution scheduling to video content based on the distribution scheduling strategy of described video content to make described source server.
Wherein, described mapping relations are set up module and are comprised:
First association submodule, for associating described QoS parameter with described system resource;
Second association submodule, for associating described system resource with described cost parameter;
Mapping relations set up submodule, for by described system resource by described QoS parameter and described operation cost parameter association, set up the mapping relations of service quality and operation cost.
Wherein, described 3rd determination module comprises:
First determines submodule, for determining the destination service node of video content to be pushed described in video content to be pushed and correspondence from the marketing strategy, the requirement of video content to cost to be pushed described in can meeting according to described destination service node determine described in treat the distribution scheduling strategy of pushing video content;
Assessment submodule, for assessing the service quality of video content by the mapping relations of described QoS parameter, described service quality and operation cost;
Second determines submodule, for treating the distribution scheduling strategy of pushing video content described in combining, by the distribution scheduling strategy of the service quality determination video content of the video content of assessment.
Wherein, described first determines submodule, specifically for described in can meeting when described destination service node when the requirement of the video content pushed to cost, the distribution scheduling strategy of video content to be pushed described in determining is to described destination service node by video distribution described to be pushed; When described in described destination service node can not meet wait the requirement of the video content pushed to cost time, find out the video content needing most and be replaced, the distribution scheduling strategy of video content to be pushed described in determining needs most the video content be replaced described in video content replacement to be pushed described in use.
A kind of video content distribution scheduling system, described system at least also comprises:
Above-mentioned video content distribution scheduling server, and, for obtaining the status data of video content distributing data and Edge Server, and the status data of described video content distributing data and Edge Server is sent to the monitoring operation server of described video content distribution scheduling server.
Wherein, described video content distribution scheduling server, also build routing policy for the status data according to described video content distributing data and Edge Server, and described routing policy is sent to described routing server, according to described routing policy, video content access request is routed to described Edge Server to make described routing server.
Technique scheme has following beneficial effect:
Video content distribution scheduling method provided by the invention, server and system, can according to the status data determination service quality of video content distributing data and Edge Server, based on system resource, service quality is associated with operation cost, according to the distribution scheduling strategy of the incidence relation determination video content of the marketing strategy, service quality and operation cost.The video content distribution scheduling method that the embodiment of the present invention provides, service quality, operation cost and the marketing strategy can be taken into account simultaneously, this makes when carrying out video distribution scheduling, operation cost, between service quality and the marketing strategy, contradiction is in harmonious proportion, while taking into account the marketing strategy, guaranteeing service quality, can cut operating costs.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
The schematic flow sheet of a kind of video content distribution scheduling method that Fig. 1 provides for the embodiment of the present invention;
In the video content distribution scheduling method that Fig. 2 provides for the embodiment of the present invention, according to the schematic flow sheet of a kind of implementation of the distribution scheduling strategy of the mapping relations determination video content of the marketing strategy, service quality and operation cost;
The structural representation of a kind of video content distribution scheduling server that Fig. 3 provides for the embodiment of the present invention;
The structural representation of a kind of video content distribution scheduling system that Fig. 4 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Refer to Fig. 1, be the schematic flow sheet of a kind of video content distribution scheduling method that the embodiment of the present invention provides, the method can comprise:
Step S101: the status data of receiver, video content distribution data and Edge Server.
Wherein, the status data of Edge Server can comprise: Edge Server receives the number of times of video content request, the number of times responding video content access request, the time of response video content access request, the throughput of unit interval, the code check etc. of the video of broadcast.
Step S102: the status data determination QoS parameter of foundation video content data and Edge Server.
Wherein, QoS parameter can comprise: the continuity parameter of the availability parameters of video content, the response parameter of video request, video playback and video playing quality parameter.
Concrete, the availability of video content, refers to that user normally can access video content that is legal and that authorized.If user normally can not access content that is legal and that authorized, so just there is problem in the availability of video content.Under normal circumstances, generally not performing in VCDN system the mandate of video content, therefore, is all legal by the video content access request after route.Whether like this, in VCDN system, just can focus on Edge Server to the tolerance of the availability of video content can all video content access request of totally linearization.In the present embodiment, the number of times that the availability parameters of video content can respond video content access request with Edge Server within a period of time is measured with the ratio of the number of times receiving video content access request, is designated as QoS_A.
Concrete, the response of video request, refers to the time of Edge Server response video content access request.The time of Edge Server response video content access request, both comprised the time of authentication, also comprised the time of Request routing and plug-flow, even also may have the time obtaining key descrambling video flowing.Because the processing time of Request routing and plug-flow is in VCDN system scope, therefore, in the present embodiment, the processing time of Request routing and plug-flow is only considered.In a kind of possible implementation, when routing server receives video content access request for it stamps initial time stamp, stamp deadline can be stamped again after Edge Server response video content access request.Suppose that receiving video content access request to time of Edge Server response video content access request from routing server is request-access time, then with the mean value of all request-access times in a period of time as the response parameter of the video request of VCDN system, QoS_R can be designated as.
Concrete, the continuity of video playback, refers to whether client exists the situation play and interrupt in the process of receiver, video content.The most direct mode of continuity of tolerance video playback is the number of times causing video playback to suspend or cushion not in client statistical unit time internal cause reception data.Consider that above-mentioned metric form has compulsory requirement to client, also can increase the difficulty of collection of statistical data simultaneously, in the present embodiment, the throughput of monitoring Edge Server plug-flow and the code check of corresponding video content is adopted indirectly to add up broadcasting interruption times, namely, if the throughput that (such as 1 second or 10 seconds) in the unit interval occurs is less than the situation of code check, so just assert it is there occurs interruption, with the mean value of the interruption times of all video content access request in a period of time as the continuity parameter of video playback, QoS_C can be designated as.
Video playing quality, can assess with the code check paying video.The audio content quality of high code check is just high under normal circumstances.But for different terminal equipment, the meaning of video quality is different.Such as, for the mobile terminal of the small screen, the code check of about 1Mbps just can reach very good video quality, and for the TV of large-screen, the code check of more than 6Mbps just may reach good video quality.For the ease of assessment, can by video playing quality divided rank, such as, super clear, high definition, SD, smoothness, and same grade is for different terminal equipment standards difference.In the present embodiment, using the percentage of each grade in Preset Time as video playing quality parameter, QoS_Q is designated as.
Step S103: determine operation cost parameter.
Wherein, operation cost parameter comprises system acquisition cost parameter Cost_P, operation maintenance cost parameter Cost_M, bandwidth cost parameter Cost_B and third party's cost of serving parameter Cost_O.
Concrete, purchase cost mainly comprises server cost and network equipment cost.Operation maintenance cost comprises human cost and machine room cost, and automaticity is higher, system is more healthy and stronger, and human cost is lower, and machine room cost, then with the framework of VCDN system with configure relevant, is mainly reflected in space cost and power cost.Third party's cost of serving is the cost of some services of third party's trustship.
Step S104: the mapping relations being set up service quality and operation cost based on system resource by QoS parameter and operation cost parameter.
Concrete, because service quality is relevant with system resource, and system resource is relevant with operation cost, therefore, QoS parameter can be associated with system resource, by system resource and operation cost parameter association, and then by system resource by QoS parameter and operation cost parameter association, set up the mapping relations of service quality and operation cost.
Wherein, system resource can comprise: the concurrent processing ability of server and the capacity of bandwidth, the storage capacity of server, the handling capacity etc. of server.
Service quality is relevant with system resource to be embodied in, and the availability of video content depends on the concurrent processing ability of server and the capacity of bandwidth, and the concurrent processing ability of server is stronger and the capacity of bandwidth is more sufficient, and the availability of video content is higher.The response of video content depends on that in fact the distribution situation of video content, the distribution of video content reflect the requirement to server stores ability, such as server stores capacity etc.The continuity of video content depends on the handling capacity of server, and handling capacity is actually a kind of integration capability, is jointly to be determined by the distribution situation of content, server concurrent capability and bandwidth capacity.Video content quality depends on the handling capacity of server equally.
System resource is relevant with operation cost to be embodied in, and the concurrent processing ability of server determines the purchase cost of system, and bandwidth capacity determines bandwidth cost, and storage capacity determines system acquisition cost.And (such as cloud service, without the need to purchasing equipment, without the need to O&M, even without the need to renting bandwidth, is all that these system resources are accomplished fluently bag and together provided by cloud service provider) that third party's cost of serving is mainly determined jointly by these three kinds of system resources.Operation maintenance cost is more special, and can be divided into two parts, a part directly depends on purchase cost, and substantially linear with purchase cost, and another part is then manual maintenance cost, is a constant m substantially.Therefore, operation maintenance cost can be expressed as Cost_M=p × Cost_P+m.
Based on above-mentioned analysis, the mapping relations of service quality and operation cost can be set up, by service quality mapping to operation cost:
QC1：N×QoS_A→a1×Cost_P+a2×Cost_B+a3×Cost_O
QC2：N×QoS_R→r1×Cost_P+Cost_M+r2×Cost_O
=(r1+p)×Cost_P+r3×Cost_O+m
QC3：N×QoS_C→c1×Cost_P+Cost_M+c2×Cost_B+c3×Cost_O
=(c1+p)×Cost_P+c2×Cost_B+c3×Cost_O+m
QC4：N×QoS_Q→q1×Cost_P+Cost_M+q2×Cost_B+q3×Cost_O
=(q1+p)×Cost_P+q2×Cost_B+q3×Cost_O+m
Wherein, represent can the number of request of concurrent services for N.P and m can be determined by the O&M empirical data of history completely, can be considered as constant.Under stable operation mode, each coefficient of QC1 to QC4 can not change substantially.
Each coefficient of QC1 to QC4 calculates by following steps:
(1) under a basic System's composition and configuration, the value of each QoS parameter is monitored.
(2) video content request is increased, in the scope that power system capacity can be born, along with the Extension of service quality of userbase can not decline, until arrive critical point service quality flex point can occur, the record service quality value at flex point place and the system cost value of each side.
(3) drop into a small amount of cost upgrade-system, guarantee service quality and go back up to initial level, then proceed to step (2), until collect enough data (at least 3 group data).
(4) data of collecting are substituted into QC1 to QC4, calculate linear equation and draw each coefficient.
It should be noted that, the maximum service capacity (N × QoS_Q) of resource As soon as possible Promising Policy as how saved most can being analyzed by formula above and computational process, be referred to as base cost and service relationship between quality.
It should be noted that, the effect of QC1 to QC4 is mainly reflected in: in QC1 to QC4 relational expression, the item that coefficient is larger, illustrate that less cost drops into the lifting that just can bring obvious service ability, therefore, service provider face userbase expand, service quality decline problem time, can consider first by resource input to which part cost in.The rational proportion that the cost that base cost and service relationship between quality illustrate different aspect drops into is how many, significant to reality operation.Quick discovery cost drops into the aspect be wasted, or needs supplementary aspect.The optimization of guidance content distribution scheduling.
Step S105: according to the distribution scheduling strategy of the mapping relations determination video content of the marketing strategy, service quality and operation cost, wherein, distribution scheduling strategy is used to indicate which service node which video content is distributed to, and replaces which video content.
Refer to Fig. 2, for in the video content distribution scheduling method that the embodiment of the present invention provides, mapping relations according to the marketing strategy, service quality and operation cost determine the schematic flow sheet of a kind of implementation of the distribution scheduling strategy of video content to be distributed, can comprise:
Can step S201: the destination service node determining video content to be pushed and correspondence video content to be pushed from the marketing strategy, meet according to destination service node the distribution scheduling strategy that video content the to be pushed requirement to cost determines to treat pushing video content.
Further, can meet according to destination service node and determine to be specially until the distribution scheduling strategy of pushing video content wait the requirement of the video content pushed to cost: when destination service node can meet wait the requirement of the video content pushed to cost, determine that the distribution scheduling strategy of video content to be pushed is to destination service node by video distribution to be pushed; When destination service node can not meet wait the requirement of the video content pushed to cost, find out the video content needing most and be replaced, determine that the distribution scheduling strategy of video content to be pushed is replace with video content to be pushed to need most the video content be replaced.
Step S202: by QoS parameter, and the mapping relations of service quality and operation cost assess the service quality of video content.
When carrying out video content distribution scheduling, it is considered that the distribution scheduling of video content is on the impact of service quality and operation cost.The distribution scheduling of video content can be conceptualized as tlv triple (C
new, Node, C
old), i.e. video content C
newbe distributed on service node Node, and replace video content C
old.If video content C
old=0, so just mean without the need to replacement it is only increase video content.What video content distribution directly affected is server stores capacity, thus meeting influential system purchase cost Cost_P or third party cost of serving Cost_O; Then for video content C on the impact of the service quality of service node Node
newservice quality lifting and for video content C
oldthe decline of service quality.
Be understandable that, in actual applications, if the memory capacity of service node still has residue or old video content to be replaced, so can't increase any cost, if the degree that the old video content be replaced is concerned is very low, so also any impact can not be produced on overall quality of service.Therefore, when determining video content distribution scheduling strategy, need these factors also to take into account.
In the present embodiment, represent the overall quality of service relevant to the distribution of all video contents with QoS_Content, represent the stand-alone service quality relevant to the distribution of content C with QoS_Content_C, there is following relation therebetween:
QoS_Content=QoS_Content_C1+QoS_Content_C2+…+QoS_Content_Cn=α1×QoS_Content+α2×QoS_Content+…+αn×QoS_Content (1)
Wherein, factor alpha represents the influence coefficient of a certain content, its value between zero and one, all α's and be 1.If a certain video content is completely not watching, so its influence coefficient is exactly 0; If this video content is by extensive program request, so its influence coefficient is just close to 1.Therefore, be exactly total for the number of request of a certain video content and the ratio of number of request in computational methods statistics a period of time of α.
Overall quality of service is represented: QoS_Total=N × (a × QoS_A, r × QoS_R, c × QoS_C with QoS_Total, q × QoS_Q), namely overall quality of service is a four-tuple, and a, r, c, q wherein represent the coefficient of each component, the quantity of N and concurrent processing request.For different systems, component coefficient is a set of constant, can be obtained by Measurement and Computation linear equation (being similar to the calculating to QC1 to QC4).Because the present embodiment does not pay close attention to the absolute value of service quality, therefore, a, r, c, q can be set to 1.
The distribution of video content, on the impact of QoS_Total, is mainly QoS_R and QoS_C component.Therefore, QoS_Content=N × (r ' × QoS_R, c ' × QoS_C) can be defined, the same, r ' and c ' is set to 1, so just can assesses the service quality of video content by the service quality that reality can be monitored.Through type (1) can navigate to the stand-alone service quality of single video content, i.e. QoS_Content_Ci=α i × N × (r ' × QoS_R, c ' × QoS_C).Further, just can be assessed the service quality of video content by operation cost by QC2 and QC3.
Step S203: combine the distribution scheduling strategy treating pushing video content, by the distribution scheduling strategy of the service quality determination video content of the video content of assessment.
After determining the distribution scheduling strategy of video content, return the flow process of video content distribution scheduling method:
Step S106: the distribution scheduling strategy of video content is sent to source server, carries out distribution scheduling based on the distribution scheduling strategy of video content to video content to make source server.
The video content distribution scheduling method that the embodiment of the present invention provides, can according to the status data determination service quality of video content distributing data and Edge Server, based on system resource, service quality is associated with operation cost, according to the distribution scheduling strategy of the incidence relation determination video content of the marketing strategy, service quality and operation cost.The video content distribution scheduling method that the embodiment of the present invention provides, service quality, operation cost and the marketing strategy can be taken into account simultaneously, this makes when carrying out video distribution scheduling, operation cost, between service quality and the marketing strategy, contradiction is in harmonious proportion, while taking into account the marketing strategy, guaranteeing service quality, cut operating costs.
The embodiment of the present invention additionally provides a kind of video content distribution scheduling server, Fig. 3 shows the structural representation of this video content distribution scheduling server, can comprise: data reception module 301, first determination module 302, second determination module 303, the 3rd determination module 304 and sending module 305.
Data reception module 301, for the status data of receiver, video content distribution data and Edge Server.
First determination module 302, the video content distributing data received for foundation data reception module 301 and the status data determination QoS parameter of Edge Server, wherein, QoS parameter comprises the availability parameters of video content, the response parameter of video request, the continuity parameter of video playback and video playing quality parameter.
Second determination module 303, for determining operation cost parameter, wherein, operation cost parameter comprises system acquisition cost parameter, operation maintenance cost parameter, bandwidth cost parameter and third party's cost of serving parameter.
Mapping relations set up module 304, and the operation cost parameter determined for the QoS parameter determined by the first determination module 302 based on system resource and the second determination module 303 sets up the mapping relations of service quality and operation cost.
3rd determination module 305, mapping relations for the service quality and operation cost of setting up module 304 foundation according to the marketing strategy, mapping relations determine the distribution scheduling strategy of video content to be distributed, wherein, distribution scheduling strategy is used to indicate which node which video content is distributed to, and replaces which video content.
Sending module 306, the distribution scheduling strategy for the video content to be distributed determined by the 3rd determination module 305 is sent to source server, carries out distribution scheduling to make source server based on video content distribution scheduling strategy to video content to be distributed.
The video content distribution scheduling server that the embodiment of the present invention provides, can according to the status data determination service quality of video content distributing data and Edge Server, based on system resource, service quality is associated with operation cost, according to the distribution scheduling strategy of the incidence relation determination video content of the marketing strategy, service quality and operation cost.The video content distribution scheduling server that the embodiment of the present invention provides, service quality, operation cost and the marketing strategy can be taken into account simultaneously, this makes when carrying out video distribution scheduling, operation cost, between service quality and the marketing strategy, contradiction is in harmonious proportion, while taking into account the marketing strategy, guaranteeing service quality, cut operating costs.
In the above-described embodiments, mapping relations are set up module 304 and can be comprised: the first association submodule, the second association submodule and mapping relations set up submodule.Wherein:
First association submodule, for associating QoS parameter with system resource.
Second association submodule, for associating system resource with cost parameter.
Mapping relations set up submodule, for by system resource by QoS parameter and operation cost parameter association, set up the mapping relations of service quality and operation cost.
In the above-described embodiments, the 3rd determination module 305 can comprise: first determine submodule, assessment submodule and second determine submodule.Wherein:
First determines submodule, for determining the destination service node of video content to be pushed and correspondence video content to be pushed from the marketing strategy, can meet according to destination service node the distribution scheduling strategy that video content the to be pushed requirement to cost determines to treat pushing video content.
Assessment submodule, for being assessed the service quality required by video content to be distributed by QoS parameter, utilizes the service quality of video content to be distributed to assess the cost required by video content to be distributed by the mapping relations of service quality and operation cost.
Second determines submodule, for combining the distribution scheduling strategy treating pushing video content, is determined the distribution scheduling strategy of video content to be distributed by the cost required by video content to be distributed.
Further, first determines submodule, specifically for can meet when the requirement of the video content pushed to cost when destination service node, determine that the distribution scheduling strategy of video content to be pushed is to described destination service node by video distribution to be pushed, when destination service node can not meet wait the requirement of the video content pushed to cost, find out the video content needing most and be replaced, determine that the distribution scheduling strategy of video content to be pushed is replace with video content to be pushed to need most the video content be replaced.
The embodiment of the present invention additionally provides a kind of video content distribution scheduling system, Fig. 4 shows the structural representation of this system, can comprise source server 401, Edge Server 402, routing server 403, video content distribution scheduling server 404 and monitoring operation server 405.Wherein:
Operation monitoring server 405 is connected with video content distribution scheduling server 404, for the status data of the video content distributing data and Edge Server 402 that obtain source server 401, and the video content distributing data 401 of source server and the status data of Edge Server 402 are sent to video content distribution scheduling server 404.
Video content distribution scheduling server 404, the video content distributing data 401 of source server obtained for foundation operation monitoring server 405 and the distribution scheduling strategy of the status data determination video content of Edge Server 402.It should be noted that, the video content distribution scheduling server 30 that video content distribution scheduling server 404 can provide for above-described embodiment.
According to video content distribution scheduling server 404, source server 401, for determining that the distribution scheduling strategy of video content carries out distribution scheduling to video content.
In addition, video content distribution scheduling server 404, also build routing policy for the status data according to video content distributing data and Edge Server, and routing policy is sent to routing server 403, according to routing policy, video content access request is routed to Edge Server 402 to make routing server 403.
It should be noted that, for device disclosed in embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates see method part.
Also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
For convenience of description, various unit is divided into describe respectively with function when describing above device.Certainly, the function of each unit can be realized in same or multiple software and/or hardware when implementing the application.As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the application can add required general hardware platform by software and realizes.Based on such understanding, the technical scheme of the application can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the application or embodiment.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (10)
1. a video content distribution scheduling method, is characterized in that, comprising:
The status data of receiver, video content distribution data and Edge Server;
According to the status data determination QoS parameter of described video content distributing data and Edge Server, described QoS parameter comprises the availability parameters of video content, the response parameter of video request, the continuity parameter of video playback and video playing quality parameter;
Determine operation cost parameter, described operation cost parameter comprises system acquisition cost parameter, operation maintenance cost parameter, bandwidth cost parameter and third party's cost of serving parameter;
Set up the mapping relations of service quality and operation cost by described QoS parameter and described operation cost parameter based on system resource;
According to the distribution scheduling strategy of the mapping relations determination video content of the marketing strategy, described service quality and operation cost, the distribution scheduling strategy of described video content is used to indicate which node which video content is distributed to, and replaces which video content;
The distribution scheduling strategy of described video content is sent to source server, carries out carrying out distribution scheduling to video content based on the distribution scheduling strategy of described video content to make described source server.
2. method according to claim 1, is characterized in that, the described mapping relations being set up service quality and cost based on system resource by described QoS parameter and described cost parameter, being comprised:
Described QoS parameter is associated with described system resource;
By described system resource and described operation cost parameter association;
By described system resource by described QoS parameter and described operation cost parameter association, set up the mapping relations of service quality and operation cost.
3. method according to claim 1, is characterized in that, the mapping relations according to the marketing strategy, described service quality and operation cost determine the distribution scheduling strategy of video content to be distributed, comprising:
From the marketing strategy, determine the destination service node of video content to be pushed described in video content to be pushed and correspondence, the requirement of video content to cost to be pushed described in can meeting according to described destination service node determine described in treat the distribution scheduling strategy of pushing video content;
The service quality of video content is assessed by the mapping relations of described QoS parameter, described service quality and operation cost;
In conjunction with described in treat the distribution scheduling strategy of pushing video content, by the distribution scheduling strategy of the service quality determination video content of the video content of assessment.
4. method according to claim 3, is characterized in that, the requirement of video content to cost to be pushed described in can meeting according to described destination service node determine described in treat that the distribution scheduling strategy of pushing video content is specially:
When described in described destination service node can meet wait the requirement of the video content pushed to cost time, the distribution scheduling strategy of video content to be pushed described in determining is to described destination service node by video distribution described to be pushed;
When described in described destination service node can not meet wait the requirement of the video content pushed to cost time, find out the video content needing most and be replaced, the distribution scheduling strategy of video content to be pushed described in determining needs most the video content be replaced described in video content replacement to be pushed described in use.
5. a video content distribution scheduling server, is characterized in that, comprising:
Data reception module, for the status data of receiver, video content distribution data and Edge Server;
First determination module, for the status data determination QoS parameter of the described video content distributing data that receives according to described data reception module and Edge Server, described QoS parameter comprises the availability parameters of video content, the response parameter of video request, the continuity parameter of video playback and video playing quality parameter;
Second determination module, for determining operation cost parameter, described operation cost parameter comprises system acquisition cost parameter, operation maintenance cost parameter, bandwidth cost parameter and third party's cost of serving parameter;
Mapping relations set up module, and the described operation cost parameter determined for the described QoS parameter determined by described first determination module based on system resource and described second determination module sets up the mapping relations of service quality and operation cost;
3rd determination module, for setting up the distribution scheduling strategy of the described service quality of module foundation and the mapping relations determination video content of operation cost according to the marketing strategy, described mapping relations, the distribution scheduling strategy of described video content is used to indicate which node which video content is distributed to, and replaces which video content;
Sending module, the distribution scheduling strategy for the described video content determined by described 3rd determination module is sent to source server, carries out carrying out distribution scheduling to video content based on the distribution scheduling strategy of described video content to make described source server.
6. server according to claim 5, is characterized in that, described mapping relations are set up module and comprised:
First association submodule, for associating described QoS parameter with described system resource;
Second association submodule, for associating described system resource with described cost parameter;
Mapping relations set up submodule, for by described system resource by described QoS parameter and described operation cost parameter association, set up the mapping relations of service quality and operation cost.
7. server according to claim 5, is characterized in that, described 3rd determination module comprises:
First determines submodule, for determining the destination service node of video content to be pushed described in video content to be pushed and correspondence from the marketing strategy, the requirement of video content to cost to be pushed described in can meeting according to described destination service node determine described in treat the distribution scheduling strategy of pushing video content;
Assessment submodule, for assessing the service quality of video content by the mapping relations of described QoS parameter, described service quality and operation cost;
Second determines submodule, for treating the distribution scheduling strategy of pushing video content described in combining, by the distribution scheduling strategy of the service quality determination video content of the video content of assessment.
8. server according to claim 7, it is characterized in that, described first determines submodule, specifically for described in can meeting when described destination service node when the requirement of the video content pushed to cost, the distribution scheduling strategy of video content to be pushed described in determining is to described destination service node by video distribution described to be pushed; When described in described destination service node can not meet wait the requirement of the video content pushed to cost time, find out the video content needing most and be replaced, the distribution scheduling strategy of video content to be pushed described in determining needs most the video content be replaced described in video content replacement to be pushed described in use.
9. a video content distribution scheduling system, is characterized in that, described system at least also comprises:
As the video content distribution scheduling server in claim 5 ~ 8 as described in any one, and, for obtaining the status data of video content distributing data and Edge Server, and the status data of described video content distributing data and Edge Server is sent to the monitoring operation server of described video content distribution scheduling server.
10. system according to claim 9, it is characterized in that, described video content distribution scheduling server, also build routing policy for the status data according to described video content distributing data and Edge Server, and described routing policy is sent to described routing server, according to described routing policy, video content access request is routed to described Edge Server to make described routing server.
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