CN102196297A - Cluster processing method for multiserver VOD (video on demand) resource - Google Patents
Cluster processing method for multiserver VOD (video on demand) resource Download PDFInfo
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- CN102196297A CN102196297A CN201110072552XA CN201110072552A CN102196297A CN 102196297 A CN102196297 A CN 102196297A CN 201110072552X A CN201110072552X A CN 201110072552XA CN 201110072552 A CN201110072552 A CN 201110072552A CN 102196297 A CN102196297 A CN 102196297A
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Abstract
The invention discloses a cluster processing method for multiserver VOD (video on demand) resource. The cluster processing method comprises the following steps: when the client sends out a VOD request, carrying out cluster analysis on the resources to obtain the cluster aggregate as candidate resources; carrying out cluster analysis on the server of one of the resources, and making a choice by synthesizing two results; and multiplying the two weight coefficients and taking the maximum of Omega and Pi as the selected result. The technical proposal provided by the invention can provide guidance for the process of the VOD request through carrying out cluster on VOD resource, thus finishing the VOD in the shortest time, avoiding blocks as far as possible and providing the performance of VOD system.
Description
Technical field
The present invention relates to digital home technical field, be specifically related to a kind of clustering processing method of multiserver video request program resource.
Background technology
Along with the development of technology, the digitlization of media services and interactive degree improve constantly.Interactive service on Digital Television is increasing, and video request program (VOD, Video on Demand) is one of them importance.It is according to spectators' the VOD system that requires displaying video programs, thereby changes the deficiency that passive type is in the past watched TV programme.Can make like this you at any time directly program request wish the program watched, and can adjust the progress, speed etc. of broadcast at any time.
The inventor finds: in the process that video request program constantly develops, also depositing defective, one of them big problem is exactly the program request matter of time, and consumed time is longer.
Summary of the invention
The technical problem to be solved in the present invention provides a kind of clustering processing method of multiserver video request program resource, can reduce the video request program consumed time, raises the efficiency.
For solving the problems of the technologies described above, embodiments of the invention provide following technical scheme to realize:
The invention provides a kind of clustering processing method of multiserver video request program resource, comprising:
When client is sent order request, resource is carried out cluster analysis, draw the cooperation of gained cluster set and be candidate's resource;
Carry out cluster analysis for wherein some resources place server, comprehensive two results make a choice;
Two kinds of weight coefficients are multiplied each other, get ∏ Ω as a result the maximum as selection result.
Optionally, described method specifically comprises step;
Step 1) receiver, video order request;
Step 2) determines the request video resource;
Step 3) is obtained the cluster analysis of resource;
Step 4) comprehensive resources and resource cluster analysis result are selected server.
It is optionally, described that to carry out cluster analysis be to weigh according to each attribute of vod server;
Described attribute comprises: credit rating, throughput, stock number, stability, idle degree, ease for use.
Optionally, described ∏ is expressed as
The significant response number of times is λ
v, the global response number of times is λ
t, credit rating is λ=λ
v/ λ
t, stabilize to
Optionally, every attribute of video resource comprises: usage count δ, ease for use α, stability
Credit rating.
Technique scheme is as can be seen:
The present invention is with the resource of video on-demand system, classify by certain analysis of statistical data result as server, video etc., carry out cluster by resource to video on-demand system, can provide guiding to the processing of order request, make program request in the fastest time, to be accomplished, avoid blocking as far as possible, the performance of VOD system is provided.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the cluster schematic diagram of server of the present invention;
Fig. 2 is the cluster schematic diagram of video resource of the present invention;
Fig. 3 is the guiding handling process schematic diagram of cluster analysis of the present invention to order request.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making all other embodiment that obtained under the creative work prerequisite.
Below in conjunction with accompanying drawing the inventive method is described in detail.
Fig. 1 is the cluster schematic diagram of server of the present invention.
1, the cluster analysis of vod server
As shown in Figure 1, each attribute of vod server is weighed and handled draw cluster result.Every attribute definition is as follows:
1) credit rating: to the significant response proportion of order request, to respond the video request program request and to begin transmitting video data as a significant response.Definition significant response number of times is λ
v, the global response number of times is λ
t, credit rating is λ=λ
v/ λ
tBe worth greatly more, credit rating is high more.
2) throughput: this is a significant quantity of reflection server current state, and the volume of transmitted data in the representation unit time between server and the external network is represented with τ after the normalization.Obviously value is more little, and server load is more little.
3) stock number: this is a relative quiescent value of server, and the video resource quantity that the expression server has is represented with ε after the normalization.Be worth greatly more, stock number is many more.
4) stability: this is stability and fluency to server video playback after program request success, with average frame losing number of times measurement, after the normalization with
Expression.Be worth more little, stable good more with fluency.
5) idle degree: the frequent degree of expression server process order request, represent with β after the normalization.Be worth more for a short time, it is big more that server can be handled the request ability.
6) ease for use: expression is represented with α after the normalization request processing time length.Be worth more for a short time, ease for use is high more.
Above-mentioned each amount is weighted, draws an evaluation result Ω, be expressed as server
Evaluation result is carried out interval division, as [μ
1, μ
2), [μ
3, μ
4) ... [μ
2*n-1, μ
2*n], thus server has been carried out the n class and divided.Weight coefficient, different and different by the importance of each key element.The cluster analysis of server is actually local an evaluation to VOD system, is a criterion selecting the optimal service device.
Because every property value is dynamic change, thereby needs the every property value of dynamic calculation, needs to dynamically update weight coefficient simultaneously.
Fig. 2 is the cluster schematic diagram of video resource of the present invention.
2, the cluster analysis of video resource
As shown in Figure 2, each attribute of video resource is weighed and handled draw cluster result.Every attribute definition is as follows:
1) usage count: the sum that program request is successfully asked resource, represent with δ after the normalization.Be worth greatly more, the expression resource is used frequent more.
2) ease for use: expression is represented with α after the normalization resource success request processing time length.Be worth more for a short time, ease for use is high more.
3) stability: this is stability and fluency to server video playback after program request success, weigh with the frame losing number of times, after the normalization with
Expression.Be worth more little, stable good more with fluency.
4) credit rating: to the significant response proportion of resource order request, to respond the video request program request and to begin transmitting video data as a significant response.Definition significant response number of times is λ
v, the global response number of times is λ
t, credit rating is λ=λ
v/ λ
tBe worth greatly more, credit rating is high more.
Above-mentioned each amount is weighted, draws an evaluation result ∏, be expressed as server
Evaluation result is carried out interval division, as [μ
1, μ
2), [μ
3, μ
4) ... [μ
2*n-1, μ
2*n], thus video resource has been carried out the n class and divided.Weight coefficient, different and different by the importance of each key element.The cluster analysis of video resource is actually the evaluation of body one by one to VOD system.
Because every property value is dynamic change, thereby needs the every property value of dynamic calculation, needs to dynamically update weight coefficient simultaneously.
Fig. 3 is the guiding handling process schematic diagram of cluster analysis of the present invention to order request.3, cluster analysis is handled the guiding of order request
As shown in Figure 3, specifically comprise step;
When client is sent order request, resource is carried out cluster analysis, draw the cooperation of gained cluster set and be candidate's resource.Carry out cluster analysis for wherein some resources place server, comprehensive two results make a choice.Two kinds of weight coefficients multiply each other, and get Ω and ∏ the maximum as a result.Concrete, comprise step;
Step 1) video request program request;
Step 2) determines the request video resource;
Step 3) is obtained the cluster analysis of resource;
Step 4) comprehensive resources and resource cluster analysis result are selected server.
In sum: the present invention is with the resource of video on-demand system, classify by certain analysis of statistical data result as server, video etc., carry out cluster by resource to video on-demand system, can provide guiding to the processing of order request, make program request in the fastest time, to be accomplished, avoid blocking as far as possible, the performance of VOD system is provided.
More than to the clustering processing method of a kind of multiserver video request program resource that the embodiment of the invention provided, be described in detail, used specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention
Claims (5)
1. the clustering processing method of a multiserver video request program resource is characterized in that, comprising:
When client is sent order request, resource is carried out cluster analysis, draw the cooperation of gained cluster set and be candidate's resource;
Carry out cluster analysis for wherein some resources place server, comprehensive two results make a choice;
Two kinds of weight coefficients are multiplied each other, get Ω and ∏ as a result the maximum as selection result.
2. the clustering processing method of multiserver video request program resource according to claim 1 is characterized in that:
Described method specifically comprises step;
Step 1) receiver, video order request;
Step 2) determines the request video resource;
Step 3) is obtained the cluster analysis of resource;
Step 4) comprehensive resources and resource cluster analysis result are selected server.
3. the clustering processing method of multiserver video request program resource according to claim 1 and 2 is characterized in that:
It is described that to carry out cluster analysis be to weigh according to each attribute of vod server;
Described attribute comprises: credit rating, throughput, stock number, stability, idle degree, ease for use.
4. the clustering processing method of multiserver video request program resource according to claim 1 and 2 is characterized in that:
Described ∏ is expressed as
The significant response number of times is λ
v, the global response number of times is λ
t, credit rating is λ=λ
v/ λ
t, stabilize to
5. the clustering processing method of multiserver video request program resource according to claim 1 and 2 is characterized in that:
Every attribute of video resource comprises: usage count δ, ease for use α, stability
Credit rating.
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|---|---|---|---|
| CN201110072552.XA CN102196297B (en) | 2011-03-24 | 2011-03-24 | Cluster processing method for multiserver VOD (video on demand) resource |
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| CN201110072552.XA CN102196297B (en) | 2011-03-24 | 2011-03-24 | Cluster processing method for multiserver VOD (video on demand) resource |
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| CN102196297B CN102196297B (en) | 2014-03-26 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106658028A (en) * | 2016-12-30 | 2017-05-10 | 中广热点云科技有限公司 | Clustering processing method of multi-server video on demand resources |
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| CN1972311A (en) * | 2006-12-08 | 2007-05-30 | 华中科技大学 | A stream media server system based on cluster balanced load |
| CN101039281A (en) * | 2007-05-16 | 2007-09-19 | 中兴通讯股份有限公司 | Method for sharing load of stream media server |
| CN101594292A (en) * | 2008-05-30 | 2009-12-02 | 中兴通讯股份有限公司 | Content delivery method, service redirection method and system, node device |
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| CN106658028A (en) * | 2016-12-30 | 2017-05-10 | 中广热点云科技有限公司 | Clustering processing method of multi-server video on demand resources |
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| CN102196297B (en) | 2014-03-26 |
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