CN114155122A - Big data resource sharing method and resource sharing server applied to online education - Google Patents

Big data resource sharing method and resource sharing server applied to online education Download PDF

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CN114155122A
CN114155122A CN202111397917.6A CN202111397917A CN114155122A CN 114155122 A CN114155122 A CN 114155122A CN 202111397917 A CN202111397917 A CN 202111397917A CN 114155122 A CN114155122 A CN 114155122A
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shared resource
server
loading
online education
course
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CN114155122B (en
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陈冬冬
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Shanghai Kangyu Enterprise Management Consulting Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/24323—Tree-organised classifiers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

Abstract

The big data resource sharing method and the resource sharing server applied to online education can ensure that online education shared resources of the same online education shared resources are loaded into the same shared resource loading server, and can verify the service state of the online education shared resources through the service state label information and the loading certificate data of the shared resource mirroring server, so that the online education server can be ensured to call the resource content of the latest service state of the online education shared resources as much as possible, and the resource sharing performance of a dynamic education service interaction system is improved.

Description

Big data resource sharing method and resource sharing server applied to online education
Technical Field
The application relates to the technical field of big data and online education, in particular to a big data resource sharing method and a resource sharing server applied to online education.
Background
The rapid development of big data and internet promotes the sharing of information and knowledge, provides a convenient way for people to acquire and learn knowledge, and particularly relates to a popular world of a plurality of internet online education and teaching ways such as micro-lessons and mullet lessons in recent years. The online education has the advantages that compared with the traditional education and teaching, the regional limitation and the time limitation are broken, the teaching resources can be quickly integrated, and the unbalanced distribution of the teaching resources is improved.
With the continuous expansion of the scale of online education, in order to improve the operation efficiency of online education, teaching resource sharing is generally required under some scenes. However, the inventor finds that the resource sharing performance of the related teaching resource sharing technology in the implementation process still needs to be improved.
Disclosure of Invention
In view of the foregoing, the present application provides the following.
The scheme of one embodiment of the application provides a data management method of a dynamic education service interaction system, which is applied to a resource sharing server, and the method comprises the following steps:
receiving a shared resource transmission instruction of an online education service end, wherein the shared resource transmission instruction carries online education shared resources to be transmitted and is used for instructing to load the online education shared resources into a dynamic education service interaction system, the dynamic education service interaction system comprises a plurality of shared resource mirror image service ends and a plurality of shared resource loading service ends, and one shared resource loading service end is associated with at least one shared resource mirror image service end;
determining a target shared resource mirror image server matched with the online education shared resource based on the shared resource label information of the online education shared resource and the number of the shared resource mirror image servers;
determining a first shared resource loading server associated with the target shared resource mirror image server based on a mapping list between the shared resource loading server and the shared resource mirror image server;
loading the online education shared resource to the first shared resource loading server, and updating the service state tag information of the target shared resource mirroring server and the loading voucher data of the online education shared resource to a loading catalog of the first shared resource loading server, wherein the service state tag information of the target shared resource mirroring server and the loading voucher data are used for detecting the service state of the online education shared resource when the online education server calls the online education shared resource.
For some optional embodiments, the loading the online education shared resource to the first shared resource loading server includes:
in response to the first shared resource loading server including a target storable resource set, wherein the target storable resource set is a storable resource set used for loading online education shared resources matched with the target shared resource mirroring server, loading the online education shared resources into the target storable resource set;
responding to the first shared resource loading server not including the target storable resource set, allocating a target storable resource set to the target shared resource mirroring server, and loading the online education shared resource into the allocated target storable resource set.
For some optional embodiments, the updating the service state tag information of the target shared resource mirroring service end and the loading credential data of the online education shared resource to the loading directory of the first shared resource loading service end includes:
in response to the situation that the service state label information of the target shared resource mirror image server and the loading voucher data of the online education shared resource do not exist in the loading catalog, loading the service state label information of the target shared resource mirror image server and the loading voucher data of the online education shared resource into the loading catalog of the first shared resource loading server;
and in response to the existence of the service state label information of the target shared resource mirror image server and the loading voucher data of the online education shared resource in the loading catalog, replacing the loaded service state label information and the loading voucher data in the loading catalog with the service state label information of the target shared resource mirror image server and the loading voucher data of the online education shared resource respectively.
For some optional embodiments, the method further comprises:
in the dynamic education service interaction system, determining a second shared resource loading server, wherein the second shared resource loading server is a shared resource backup server of the first shared resource loading server;
and backing up the online education shared resources to the second shared resource loading server.
For some optional embodiments, the method further comprises:
responding to the fact that the second shared resource loading server is in an off-line state, determining a third shared resource loading server from the dynamic education service interaction system, and backing up online education shared resources in the first shared resource loading server to the third shared resource loading server;
and in response to the fact that the first shared resource loading server is in an offline state, taking the second shared resource loading server as a main shared resource loading server of the target shared resource mirroring server, determining a shared resource backup server for the second shared resource loading server from the dynamic education service interaction system, and backing up online education shared resources in the second shared resource loading server to the shared resource backup server.
For some optional embodiments, the method further comprises:
responding to the situation that any shared resource loading server of the dynamic education service interaction system is in a non-online state, and determining a shared resource mirror image server related to the shared resource loading server in the non-online state;
determining a shared resource loading server again for the shared resource mirror image server, and updating the service state label information of the shared resource mirror image server;
and updating a mapping list between the shared resource loading server and the shared resource mirror image server based on the updated service state label information of the shared resource mirror image server and the re-determined server label information of the shared resource loading server.
For some optional embodiments, the method further comprises:
adding the re-determined server label information of the shared resource loading server to server association topology information of the shared resource mirroring server, wherein the server association topology information comprises server label information of a plurality of shared resource loading servers previously associated with the shared resource mirroring server and transmission conditions among the plurality of shared resource loading servers;
and updating the server-side associated topology information to each shared resource loading server side of the dynamic education service interaction system.
For some optional embodiments, the method further comprises:
receiving a first calling instruction of the online education service terminal, wherein the first calling instruction carries shared resource label information of online education shared resources to be called;
determining a target shared resource mirror image server matched with the online education shared resource based on the shared resource label information of the online education shared resource and the number of the shared resource mirror image servers;
determining a first shared resource loading server associated with the target shared resource mirror image server based on a mapping list between the shared resource loading server and the shared resource mirror image server;
acquiring the online education shared resource from the first shared resource loading server, and sending the online education shared resource to the online education server;
correspondingly, the acquiring the online education shared resource from the first shared resource loading server includes:
sending a second call instruction to the first shared resource loading server, where the second call instruction carries service state tag information of the target shared resource mirror server and shared resource tag information of the online education shared resource, where the service state tag information is used by the first shared resource loading server to verify a service state of the loaded online education shared resource, and the shared resource tag information of the online education shared resource is used by the first shared resource loading server to obtain the online education shared resource;
and receiving the online education shared resource sent by the first shared resource loading server.
For some optional embodiments, the method further comprises:
judging whether the currently acquired online education interaction data meet preset hot course event analysis conditions aiming at the online education interaction data, and if so, determining that the online education interaction data are first hot course events;
importing the first hot course event into a generated first global synchronous course log, and acquiring a historical global synchronous course log corresponding to the first global synchronous course log; wherein the historical global synchronous course log and the first global synchronous course log correspond to the same course interaction state;
judging whether the first global synchronous course log needs to be adjusted or not by utilizing the historical global synchronous course log; and if so, adjusting the first global synchronous course log by utilizing the historical global synchronous course log.
One of the embodiments of the present application provides a resource sharing server, which includes a processing engine, a network module, and a memory; the processing engine and the memory communicate through the network module, and the processing engine reads the computer program from the memory and operates to perform the above-described method.
In the description that follows, additional features will be set forth, in part, in the description. These features will be in part apparent to those skilled in the art upon examination of the following and the accompanying drawings, or may be learned by production or use. The features of the present application may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities and combinations particularly pointed out in the detailed examples that follow.
Drawings
The present application will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:
FIG. 1 is a flow diagram of an exemplary big data resource sharing method and/or process applied to online education, according to some embodiments of the present application;
FIG. 2 is a block diagram of an exemplary big data resource sharing device applied to online education, according to some embodiments of the present application;
FIG. 3 is a block diagram of an exemplary big data resource sharing system applied to online education, according to some embodiments of the present application, an
FIG. 4 is a diagram illustrating hardware and software components in an exemplary resource sharing server, according to some embodiments of the present application.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system", "device", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
In view of the content described in the background art, the application provides a big data resource sharing method and a resource sharing server applied to online education, which can ensure that online education shared resources of the same online education shared resources are loaded into the same shared resource loading server, and can verify the service state of the online education shared resources through the service state label information and the loading voucher data of the shared resource mirroring server, so that the online education server can ensure that the resource content of the latest service state of the online education shared resources is called as much as possible, and the resource sharing performance of a dynamic education service interaction system is improved.
First, a big data resource sharing method applied to online education is exemplarily described, and referring to fig. 1, a flowchart of an exemplary big data resource sharing method and/or process applied to online education according to some embodiments of the present application is shown, and the big data resource sharing method applied to online education may include the technical solutions described in the following steps 100 to 400.
Step 100, the resource sharing server receives a shared resource transmission instruction of the online education service.
In the scheme, the shared resource transmission instruction carries the shared resource of the online education to be transmitted. Further, the shared resource transmission indication indicates loading of the online education shared resource into a dynamic education service interaction system.
Further, the dynamic educational service interaction system may include a plurality of shared resource mirroring service terminals and a plurality of shared resource loading service terminals, and one shared resource loading service terminal is associated with at least one shared resource mirroring service terminal.
For example, the shared resource loading server may be understood as a storage device or a cloud server for storing the shared resource of the online education, and the shared resource mirroring server may be understood as a virtual device associated with the shared resource loading server.
In other examples, the shared resources for online education may include a course ppt resource, a test question resource, a classroom quality evaluation resource, and related resources for online education aids, and the like, and the embodiments of the present application are not limited thereto.
It can be understood that the resource sharing server can also communicate with each shared resource mirroring server and each shared resource loading server in the dynamic education service interaction system, so as to cooperate with the dynamic education service interaction system to improve the resource sharing performance.
Step 200, the resource sharing server determines a target shared resource mirror image server matched with the online education shared resource based on the shared resource label information of the online education shared resource and the number of the shared resource mirror image servers.
In the scheme, the shared resource label information of the online education shared resources is used for distinguishing different online education shared resources, and the label information can be understood as identification information. Further, the target shared resource mirror server matched with the online education shared resource can be understood as a target shared resource mirror server mapped by the online education shared resource, and the target shared resource mirror server can assist in the uploading and storing process of the online education shared resource, so that the reliability of the uploading and storing process of the online education shared resource is ensured.
For example, the shared resource mirror image server can be screened according to the shared resource label information and the number of the shared resource mirror image servers, so that a target shared resource mirror image server matched with the online education shared resource is determined. In general, a target shared resource mirror server matched with the online education shared resource may be determined according to a common evaluation value (resource association degree) between the shared resource tag information and the shared resource mirror server, or may be determined by combining a matching relationship established in advance, which is not limited in the embodiment of the present application.
Step 300, the resource sharing server determines a first shared resource loading server associated with the target shared resource mirror image server based on a mapping list between the shared resource loading server and the shared resource mirror image server.
In the scheme, the mapping list between the shared resource loading server and the shared resource mirror image server can be understood as the association relationship between the shared resource loading server and the shared resource mirror image server. It can be understood that the shared resource loading server and the shared resource mirroring server are in a one-to-many association relationship, so that accurate positioning of different shared resource mirroring servers can be realized.
For example, the first shared resource loading server associated with the target shared resource mirroring server may be determined based on index information in a mapping list between the shared resource loading server and the shared resource mirroring server. Of course, there are many recording forms of the mapping list, and the embodiments of the present application are not listed.
Step 400, the resource sharing server loads the online education shared resource to the first shared resource loading server, and updates the service state tag information of the target shared resource mirroring server and the loading credential data of the online education shared resource to the loading directory of the first shared resource loading server.
In the scheme, the service state label information of the target shared resource mirror image server and the loading voucher data are used for detecting the service state of the online education shared resource when the online education server calls the online education shared resource.
For example, the service state of the online education shared resource may be a content update state of the online education shared resource, or may be understood as a resource version of the online education shared resource, for example, the service state 1 is used to represent that the resource version of the online education shared resource is v1, and the service state 2 is used to represent that the resource version of the online education shared resource is v 2.
When the service state of the online education shared resource is the service state v2, the update degree thereof is greater than that of the online education shared resource whose service state is the service state v 2. In other words, the online education shared resource r2 having the service state v2 is the latest online education shared resource compared with the online education shared resource r1 having the service state v 1.
Further, loading credential data may be understood as a timestamp, which is data generated by using a digital signature technology, and a signed object includes information such as original file information, signature parameters, and signature time. The time stamp system is used for generating and managing time stamps, and the time stamps are generated by digitally signing signature objects so as to prove that original files exist before the signature time. Loading a directory may be understood as storing index information for shared resources for online education.
It can be understood that, when the online education service terminal loads the online education shared resource, the online education service terminal may delete the loaded online education shared resource locally, and when the online education service terminal calls the resource at a later stage, the service state of the online education shared resource can be verified through the service state tag information of the target shared resource mirror service terminal and the loading voucher data, so as to ensure that the online education service terminal calls the resource content of the latest service state of the online education shared resource as much as possible.
In some possible embodiments, the loading of the online education shared resource to the first shared resource loading server in the above step 400 may include the following technical solutions: in response to the first shared resource loading server including a target storable resource set, loading the online education shared resource into the target storable resource set; responding to the first shared resource loading server not including the target storable resource set, allocating a target storable resource set to the target shared resource mirroring server, and loading the online education shared resource into the allocated target storable resource set.
In the scheme, the target storable resource set is a storable resource set used for loading the online education shared resource matched with the target shared resource mirror image server. In other words, the online education shared resources may be stored or imported into the target set of storable resources.
It is to be appreciated that, in one aspect, if a target set of storable resources is included in the first shared resource loading server, the online education shared resource may be loaded into the target set of storable resources. On the other hand, if the target storable resource set is not included in the first shared resource loading server, the target storable resource set may be allocated according to the target shared resource mirror server corresponding to the first shared resource loading server, so as to avoid occupation of the resource space of the application of the first shared resource loading server, and thus, the online education shared resources may be loaded into the allocated target storable resource set.
Because the first shared resource loading server corresponds to the target shared resource mirror image server, the corresponding online education shared resource can be called subsequently through the target storable resource set of the target shared resource mirror image server.
In this way, the online education shared resource can be loaded in different ways based on the existence of the target storable resource set in the first shared resource loading server, so that the online education shared resource can be stably and reliably loaded to the first shared resource loading server or the target shared resource mirror image server corresponding to the first shared resource loading server, and the online education shared resource is prevented from being lost in the loading process.
In some other embodiments, the updating of the service status tag information of the target shared resource mirroring service terminal and the loading credential data of the online education shared resource to the loading directory of the first shared resource loading service terminal in step 400 may be implemented by one of the following two implementation manners.
In a first implementation manner, in response to that the service state tag information of the target shared resource mirroring server and the loading credential data of the online education shared resource do not exist in the loading directory, the service state tag information of the target shared resource mirroring server and the loading credential data of the online education shared resource are loaded into the loading directory of the first shared resource loading server.
In a first implementation manner, if the service state tag information of the target shared resource mirroring server and the loading credential data of the online education shared resource do not exist in the loading directory, the service state tag information of the target shared resource mirroring server and the loading credential data of the online education shared resource may be loaded into the loading directory of the first shared resource loading server for recording, without considering a problem of repetition of the service state tag information of the target shared resource mirroring server and the loading credential data of the online education shared resource in the loading directory.
In a second implementation manner, in response to the existence of the service state tag information of the target shared resource mirror server and the loading credential data of the online education shared resource in the loading directory, the service state tag information of the target shared resource mirror server and the loading credential data of the online education shared resource are respectively substituted for the loaded service state tag information and the loaded credential data in the loading directory.
In a second embodiment, if the service state tag information of the target shared resource mirror image server and the loading credential data of the online education shared resource exist in the loading directory, in order to avoid repetition and conflict between the service state tag information of the target shared resource mirror image server and the loading credential data of the online education shared resource, which are loaded later into the loading directory of the first shared resource loading server, and the previous data information, the loaded service state tag information and the loaded credential data in the loading directory may be respectively overwritten with the later service state tag information and the later loading credential data.
In some optional embodiments, on the basis of the above steps 100 to 400, the method may further include the following: and in the dynamic education service interaction system, determining a second shared resource loading server, and backing up the online education shared resources to the second shared resource loading server. In this scheme, the second shared resource loading server is a shared resource backup server of the first shared resource loading server. Therefore, the online education shared resource can be ensured to be recovered after being lost under abnormal conditions by backing up the online education shared resource to the second shared resource loading server.
In the above embodiment, "in the dynamic education service interaction system, on the basis of determining a second shared resource loading server and backing up the online education shared resource to the second shared resource loading server", the method may further include the following technical solutions: responding to the fact that the second shared resource loading server is in an off-line state, determining a third shared resource loading server from the dynamic education service interaction system, and backing up online education shared resources in the first shared resource loading server to the third shared resource loading server; and in response to the fact that the first shared resource loading server is in an offline state, taking the second shared resource loading server as a main shared resource loading server of the target shared resource mirroring server, determining a shared resource backup server for the second shared resource loading server from the dynamic education service interaction system, and backing up online education shared resources in the second shared resource loading server to the shared resource backup server.
In this scheme, if the second shared resource loading server is offline, the third shared resource loading server may be continuously determined, thereby ensuring that resource backup can be realized. Generally, the priority of the third shared resource loading server is lower than that of the second shared resource loading server.
On the other hand, if the first shared resource loading server is offline, the second shared resource loading server may be used as a main shared resource loading server of the target shared resource mirroring server, and then a shared resource backup server is determined for the second shared resource loading server from the dynamic education service interaction system, so as to backup the online education shared resources in the second shared resource loading server to the shared resource backup server. In this way, it can be ensured that the online education shared resources are backed up as much as possible under different circumstances.
In some optional embodiments, the method may further include the technical solutions described in the following steps a 1-a 3.
Step a1, in response to any shared resource loading server of the dynamic education service interaction system being in an offline state, determining a shared resource mirror server associated with the shared resource loading server in the offline state.
Step a2, determining again the shared resource loading server for the shared resource mirror image server, and updating the service state label information of the shared resource mirror image server.
Step a3, updating the mapping list between the shared resource loading server and the shared resource mirror image server based on the updated service state label information of the shared resource mirror image server and the re-determined server label information of the shared resource loading server.
It can be understood that, when any shared resource loading server of the dynamic education service interaction system is in the off-line state, the shared resource mirror server associated with the shared resource loading server in the off-line state is determined first. Since the shared resource loading server is offline, the shared resource loading server corresponding to the shared resource mirror image server needs to be determined again, and then the service state label information of the shared resource mirror image server is further updated. And then, updating the mapping list between the shared resource loading server and the shared resource mirror image server in time according to the updated service state label information of the shared resource mirror image server and the re-determined server label information of the shared resource loading server. Therefore, the online state and the offline state of the shared resource loading server can be taken into consideration, and the mapping list can be timely and accurately updated in the state change process of the server.
On the basis of the steps a 1-a 3, the method can also comprise the technical scheme described in the following steps a4 and a 5.
Step a4, adding the service end label information of the re-determined shared resource loading service end to the service end associated topology information of the shared resource mirroring service end.
In this scheme, the server-side associated topology information includes server-side tag information of multiple shared resource loading servers previously associated with the shared resource mirroring server and a transfer condition between the multiple shared resource loading servers, and the server-side associated topology information may be graphical information including respective node connection conditions of the shared resource mirroring server and the shared resource loading servers.
Step a5, updating the server-side associated topology information to each shared resource loading server side of the dynamic education service interaction system.
It can be understood that, by updating the server-side association topology information to each shared resource loading server of the dynamic education service interaction system, the shared resource loading server can be ensured to update the association condition and the connection condition between different servers in time.
In some possible embodiments, the method may also be implemented by: receiving a first calling instruction of the online education service terminal, wherein the first calling instruction carries shared resource label information of online education shared resources to be called; determining a target shared resource mirror image server matched with the online education shared resource based on the shared resource label information of the online education shared resource and the number of the shared resource mirror image servers; determining a first shared resource loading server associated with the target shared resource mirror image server based on a mapping list between the shared resource loading server and the shared resource mirror image server; and acquiring the online education shared resource from the first shared resource loading server, and sending the online education shared resource to the online education server.
In other possible embodiments, the obtaining of the online education shared resource from the first shared resource loading server described in the above steps may be implemented by: and sending a second calling instruction to the first shared resource loading server, and receiving the online education shared resource sent by the first shared resource loading server. In this embodiment, the second call instruction carries service state tag information of the target shared resource mirroring server and shared resource tag information of the online education shared resource, where the service state tag information is used by the first shared resource loading server to verify a service state of the loaded online education shared resource, and the shared resource tag information of the online education shared resource is used by the first shared resource loading server to obtain the online education shared resource.
In summary, by applying the above technical solution, in the embodiment of the application, on one hand, since the number of the shared resource mirror servers in the dynamic education service interaction system is not changed, the same online education shared resource is matched to the same shared resource mirror server, and there is a relationship between the shared resource mirror server and the shared resource loading server, so that through the matching mapping of the dual ports, it can be ensured that the related content of the same online education shared resource is loaded to the same shared resource loading server.
On the other hand, since the shared resource loading server is loaded with the service state tag information of the shared resource mirroring server and the credential data of the loaded resource, the service state tag information and the loading credential data of the shared resource mirroring server can be used to detect the service state of the loaded resource.
Therefore, according to the scheme, the online education shared resources of the same online education shared resources can be loaded into the same shared resource loading server, the service states of the online education shared resources can be verified through the service state label information and the loading voucher data of the shared resource mirroring server, the online education server can call the resource content of the latest service state of the online education shared resources as much as possible, and the resource sharing performance of the dynamic education service interaction system is improved.
In some alternative embodiments, the online education service generates online education interaction data when interacting with the online education client. In the practical application process, the resource sharing server can analyze the relevant hot course events of the online education interaction data, so that the online education interaction data can be used for guiding the optimization and the updated information of the online education service products.
In some optional embodiments, on the basis of the above steps 100 to 400, the method may further include the following technical solutions: judging whether the currently acquired online education interaction data meet preset hot course event analysis conditions aiming at the online education interaction data, and if so, determining that the online education interaction data are first hot course events; importing the first hot course event into a generated first global synchronous course log, and acquiring a historical global synchronous course log corresponding to the first global synchronous course log; wherein the historical global synchronous course log and the first global synchronous course log correspond to the same course interaction state; judging whether the first global synchronous course log needs to be adjusted or not by utilizing the historical global synchronous course log; and if so, adjusting the first global synchronous course log by utilizing the historical global synchronous course log.
In some optional embodiments, the foregoing step "determines whether the currently acquired online education interaction data meets a preset hot course event analysis condition for the online education interaction data, and if so, determines that the online education interaction data is a first hot course event; importing the first hot course event into a generated first global synchronous course log, and acquiring a historical global synchronous course log corresponding to the first global synchronous course log; wherein the historical global synchronous course log and the first global synchronous course log correspond to the same course interaction state; judging whether the first global synchronous course log needs to be adjusted or not by utilizing the historical global synchronous course log; if so, the technical scheme described by the step of adjusting the first global synchronous course log by using the historical global synchronous course log can be realized by the following technical scheme.
Step S1: the resource sharing server judges whether the currently acquired online education interaction data meet preset hot course event analysis conditions aiming at the online education interaction data, and if yes, the online education interaction data are determined to be a first hot course event.
As mentioned above, the resource sharing server is connected with the online education service, and accordingly, the resource sharing server can obtain online education interaction data from the online education service.
The online education interaction data may include voice communication data, text communication data, and image communication data between different online education servers. Further, the hot-spot course event analysis condition is used for the course popularity analysis of online education on the online education interaction data, or may be understood as being used for the course popularity or the course subscription popularity analysis on the online education interaction data, but is not limited thereto.
Furthermore, the first hot course event may be understood as a course event with higher course popularity (good student and parent reflection) or with higher teaching quality achievement (high teaching test score). In other words, the first hot-spot course event may be understood as an accent course event. In some embodiments, determining the online educational interaction data as a first hotspot course event may be understood as: and extracting the characteristics of the online education interaction data, and identifying a corresponding first hot course event according to the characteristic extraction result, thereby facilitating the subsequent updating and adjustment of course logs.
In the scheme, whether the hot course event analysis condition is met or not can be judged by identifying the course feedback comments of the online education interactive data, and whether the hot course event analysis condition is met or not can be judged by counting the subscription times of the online education interactive data, and the embodiment of the application is not limited.
Step S2: and the resource sharing server imports the first hot-spot course event into the generated first global synchronous course log and acquires a historical global synchronous course log corresponding to the first global synchronous course log.
In an embodiment of the present application, the historical global synchronous course log and the first global synchronous course log correspond to a same course interaction state. For example, the course interaction state is used for distinguishing different online education course interaction conditions, and by positioning the course interaction states of the historical global synchronous course log and the first global synchronous course log, it can be ensured that no course log errors or confusion occur in the subsequent adjustment process of the first global synchronous course log. For another example, the historical global synchronized curriculum log can be a historical global synchronized curriculum log prior to the time of acquisition of the currently acquired online education interaction data, such as one hour ago, one day ago, etc.
In an actual implementation process, the first hot-spot course event may be inserted into a first global synchronous course log, where the first global synchronous course log records distribution conditions of different hot-spot course events, including but not limited to course event content, teaching resource allocation conditions, student portrait information, teaching quality assessment information, and the like. In the embodiment of the application, the first global synchronous course log can be used for subsequent online education service upgrade, for example, course content optimization, teacher and resource scheduling, student communication, teaching mode adjustment and the like are performed through the first global synchronous course log. In addition, the first global synchronous course log also records the time sequence and the sequence of different hot course events, so that the traceability of the different hot course events is ensured, and the first global synchronous course log is convenient to carry out complete big data analysis and mining at the later stage.
Step S3: the resource sharing server judges whether the first global synchronous course log needs to be adjusted or not by using the historical global synchronous course log; and if so, adjusting the first global synchronous course log by utilizing the historical global synchronous course log.
In the embodiment of the present application, adjusting the first global synchronous course log may be understood as correcting and updating the first global synchronous course log, so as to reduce the error rate of the course log in the first global synchronous course log as much as possible, and since the adjustment determination is performed once every time the first hot course event is introduced, real-time correction and update of the first global synchronous course log can be ensured, thereby reducing the error rate of the course log of the generated global synchronous course log, further ensuring the usability of the generated global synchronous course log in a longer time range, and further ensuring quick, real-time update and optimization of the generated global synchronous course log.
In some possible embodiments, the determination of whether the first global synchronous curriculum log needs to be adjusted by using the historical global synchronous curriculum logs described in the above step S3 can be implemented by one of the following two determination manners.
The first judgment mode is to judge whether a second hot-spot course event corresponding to the first hot-spot course event exists in all hot-spot course events in the historical global synchronous course log, wherein the number of the course event description contents corresponding to the first hot-spot course event and the second hot-spot course event is larger than a first set number, and if the second hot-spot course event description contents exist, the first global synchronous course log is judged to be required to be adjusted.
In a first determination, the second hot-spot course event may be matched with the first hot-spot course event. Further, the course event description content may be understood as an event characteristic of a hot-spot course event, and if the number of the course event description contents corresponding to the first hot-spot course event and the second hot-spot course event is greater than a first set number, it may be determined that a second hot-spot course event corresponding to the first hot-spot course event exists in all the hot-spot course events in the historical global synchronous course log.
And the second judgment mode is that whether a third hot-spot course event corresponding to the first hot-spot course event exists in all the hot-spot course events in the historical global synchronous course log and all the hot-spot course events in the first global synchronous course log or not is judged, the number of the course event description contents corresponding to the first hot-spot course event and the third hot-spot course event is greater than a second set number, and if the third hot-spot course event description contents exist, the current global synchronous course log is judged to be required to be adjusted.
Similar to the first determination method, if the number of the corresponding course event description contents in the first hot-spot course event and the third hot-spot course event is greater than a second set number, it is determined that a third hot-spot course event corresponding to the first hot-spot course event exists, and since the subsequent first hot-spot course event is matched with the previous third hot-spot course event, the first hot-spot course event and the third hot-spot course event need to be compared and analyzed, thereby implementing adjustment of the first global synchronous course log.
For the above two determination methods, the first set number and the second set number are different, and the course event description content in the first determination method may be different from the course event description content in the second determination method. For example, the course event description content corresponding to the hot course event in the first determination mode may focus on the teaching content characteristics, and the course event description content corresponding to the hot course event in the second determination mode may focus on the student evaluation characteristics.
In other words, the two determination methods may be used alternatively or together, and the embodiments of the present application are not limited thereto.
In some possible embodiments, the adjusting the first global synchronized curriculum log by using the historical global synchronized curriculum log described in the above step S3 can be implemented by the following technical solutions described in the steps S31-S35.
Step S31: determining a sequence of hotspot curriculum events seq1 to be processed from the first global synchronized curriculum log using the historical global synchronized curriculum log.
In some possible embodiments, the determining, from the first global synchronous curriculum log, the hot-spot curriculum event sequence seq1 to be processed by using the historical global synchronous curriculum log described in the above step S31 may include the following technical solutions described in steps S311 to S315.
Step S311: and creating a course interaction processing set by using all the hot course events in the historical global synchronous course log and all the hot course events in the first global synchronous course log.
In the embodiment of the application, the course interaction processing set includes a plurality of hot course events, and is used for performing multiple cycles of determination of the hot course event sequence seq1 subsequently, so as to ensure the integrity of the hot course event sequence seq1 to be processed.
In this embodiment, the creating of the course interaction processing set by using all hot-spot course events in the historical global synchronous course log and all hot-spot course events in the first global synchronous course log, which is described in the above step S311, may include the following technical solutions described in step S3111 and step S3112.
Step S3111: for each hot-spot course event in hot-spot course event sequence seq2, a course log segment sequence of the course log segment associated with the hot-spot course event in the global synchronized course log is determined.
In this scenario, hot course event sequence seq2 at least includes: all hotspot curriculum events in the historical global synchronized curriculum log and all hotspot curriculum events in the first global synchronized curriculum log. Further, the curriculum log segments can be understood as obtained after splitting the curriculum log according to the time sequence, and correspondingly, the curriculum log segment sequence includes a plurality of curriculum log segments.
Step S3112: if more than x identical curriculum log segments exist in the curriculum log segment sequence associated with any two hot-spot curriculum events in the hot-spot curriculum event sequence seq2, fusing the two hot-spot curriculum events in a set manner to generate the curriculum interaction processing set, where x is a natural number greater than 0.
It can be understood that, if there are more than x identical curriculum log segments in the sequence of curriculum log segments associated with any two hot-spot curriculum events in the hot-spot curriculum event sequence seq2, which indicates that the correlation between the two hot-spot curriculum events is high, the two hot-spot curriculum events may be fused/associated according to a preset fusion weight, so as to obtain a curriculum interaction processing set.
By the design, the course logs are split and processed, and hot course events are fused by combining the course log fragments, so that the course interaction processing set can be ensured to be free from omission as much as possible, and the reliability of subsequent course log adjustment is improved.
Step S312: and taking the first hot course event in the course interaction processing set as the current course event.
In some examples, a first hot-spot course event in the course interaction processing set may be considered a current course event to perform subsequent loop steps.
Step S313: and loading the current course event into the hot course event sequence seq1, and determining whether an upstream course event of the current course event exists in the course interaction processing set.
For example, the current course event is preceded by an upstream course event of the current course event when the upstream course event is imported into the first global synchronous course log. Further, an upstream course event may be a course event having a delivery relationship and an association relationship with a current course event.
Step S314: if not, the current step is terminated.
It is appreciated that if no upstream course event exists in the course interaction processing set for the current course event, indicating that the loading of the course event for hot course event sequence seq1 is complete, then a qualified hot course event sequence seq1 can result.
Step S315: if yes, judging whether the current course event and the historical global synchronous course log meet set relevance judgment conditions, if not, determining an upstream course event of the current course event as the current course event, returning to the step of loading the current course event to the hot course event sequence seq1, and if yes, terminating the current step.
In practical implementation, the determination of whether the current course event and the historical global synchronous course log satisfy the set association determination condition described in the above step S315 can be implemented by the following embodiments a and b.
In the embodiment a, it is determined whether an upstream curriculum event of a current curriculum event is a hot curriculum event in the historical global synchronous curriculum logs, if so, it is determined that the current curriculum event and the historical global synchronous curriculum logs satisfy a set association determination condition, and if not, it is determined that the current curriculum event and the historical global synchronous curriculum logs do not satisfy the set association determination condition.
Embodiment b, determining whether the current course event and at least one hot-spot course event in the historical global synchronous course log satisfy the following condition: the number of the corresponding course event description contents is greater than a third set number; if yes, determining that the current course event and the historical global synchronous course log meet set relevance determination conditions, and if not, determining that the current course event and the historical global synchronous course log do not meet the set relevance determination conditions.
It can be understood that, through the technical solution described in the above steps S311 to S315, the different course events can be split and analyzed, and the transfer relationship and the association relationship between the different course events are considered, so that the absence of the course event of the hot-spot course event sequence seq1 to be processed can be avoided, and the occurrence of repeated course events in the hot-spot course event sequence seq1 to be processed can also be avoided.
Step S32: first course interaction information of each hot-course event in the hot-course event sequence seq1 is determined.
In the embodiment of the present application, the first course interaction information is used for characterizing interaction description information and interaction state information. The interactive description information comprises course content and non-course content, and the interactive state information comprises real-time state information and delay state information.
Step S33: and importing the first course interaction information of each hot course event in the hot course event sequence seq1 as model input information into the trained course interaction information processing model to obtain second course interaction information of each hot course event in the hot course event sequence seq 1.
In this embodiment of the present application, the course interaction information processing model after training may be a machine learning network model, such as a convolutional neural network model, a deep learning neural network model, or a long-term and short-term memory neural network model, and this embodiment of the present application is not limited. And obtaining second course interaction information with potential characteristics by using the trained course interaction information processing model.
Step S34: for each hot-spot course event in the hot-spot course event sequence seq1, a course log segment corresponding to the hot-spot course event is determined in the first global synchronous course log.
For example, the curriculum log segments in the first global synchronous curriculum log can be calibrated through the time node information of each hot-spot curriculum event, so that the curriculum log segments corresponding to the hot-spot curriculum events can be accurately determined according to the calibration result of the time node information.
Step S35: and updating the interactive content of the course log segment in the first global synchronous course log by using the first course interactive information and the second course interactive information of the hot course event.
In practical applications, the updating of the interactive content of the piece of course log in the first global synchronous course log by using the first course interaction information and the second course interaction information of the hot course event described in the above step S35 can be implemented by the following embodiments described in steps S351 and S352.
Step S351: and performing resource optimization on the resource interaction description information of the course log segment by using the first course interaction information and the second course interaction information of the hot course event.
In the embodiment of the present application, the resource interaction description information may be understood as a teacher resource, a biogenic resource, a teaching hardware device resource, a teaching software program resource, a service popularization resource, and the like, and the embodiment of the present application is not limited. It can be understood that by optimizing the resources of the resource interaction description information, errors and mistakes generated in the import process of the hot course events can be reduced, so that the interaction description condition of the relevant hot course events can be truly reflected by the optimized resource interaction description information.
Step S352: and updating the interactive content of the curriculum log segments in the first global synchronous curriculum log by using the optimized resource interaction description information.
In the embodiment of the application, the optimized resource interaction description information is used as a reference, after the interaction content of the first global synchronous course log is marked, the interaction content is updated and corrected through the optimized resource interaction description information, so that the overall first global synchronous course log is updated and corrected through the local course log segments, the course log error rate of the generated global synchronous course log is further reduced, the usability of the generated global synchronous course log in a longer time range is further ensured, and the generated global synchronous course log can be updated and optimized quickly and in real time.
In some other embodiments, the adjusting the first global synchronized curriculum log by using the historical global synchronized curriculum log described in the above step S3 may further include the following technical solutions: integrating the course log segments in the historical global synchronous course log with the course log segments in the first global synchronous course log to obtain an integrated global synchronous course log; and adjusting the course interaction information of the hot course events in the integrated global synchronous course log and the interaction content of the course log segments corresponding to the hot course events, so that the comparison result of the course interaction information between the hot course events associated with at least one same course log segment in the global synchronous course log obtained after adjustment meets the set condition.
It can be understood that by integrating the curriculum log segments, the significance of the comparison result between the curriculum log segments can be increased, so that the curriculum interaction information of the hot-spot curriculum events in the integrated global synchronous curriculum log and the interaction content of the curriculum log segments corresponding to the hot-spot curriculum events can be adjusted. Further, the setting condition may be understood that, in the adjusted global synchronous curriculum log, a difference degree of curriculum interaction information between hot-spot curriculum events associated with at least one same curriculum log segment is smaller than the setting difference degree. Therefore, the generated global synchronous course log can be adjusted by utilizing the historical global synchronous course log in the same course interaction state, so that the course log error rate of the generated global synchronous course log can be reduced, the usability of the generated global synchronous course log in a longer time range can be ensured, and the generated global synchronous course log can be updated and optimized quickly and in real time.
In some possible embodiments, on the basis of the above, the technical solutions described in the following steps (1) and (2) may also be included.
(1) Clustering all hot course events in the first global synchronous course log to obtain at least two hot course event clusters.
In an actual implementation process, all hot-spot course events in the first global synchronous course log are clustered as described in step (1) above, so as to obtain at least two hot-spot course event clusters, which can be implemented by the implementation manner described in steps (11) to (13) below.
(11) And generating hot course event graph data by utilizing all the hot course events in the first global synchronous course log according to the random forest model.
For example, the hot course event graph data may be used to graphically display the hot course events, and the graph data and the relevant technology of the random forest model may refer to the prior art and are not described herein.
(12) And taking the original graph unit of the hot-spot course event graph data as a current graph unit, determining a comparison result of course interaction information of the current graph unit and other graph units to obtain a first comparison result description value aiming at each other graph unit except the current graph unit in the hot-spot course event graph data, and if the first comparison result description value is smaller than a preset course interaction difference description threshold value, bringing the other graph units and the current graph unit into the same hot-spot course event cluster.
In the embodiment of the present application, a graph unit may be understood as a graph node in graph data, and a connection relationship and a transfer relationship exist between different graph units. The comparison result description value may be understood as a difference index value, and correspondingly, the course interaction difference description threshold value may be understood as a difference index value threshold value.
(13) Judging whether each other graph unit brought into the same hot course event cluster with the current graph unit has a downstream graph unit, if not, terminating the current step; and if so, taking each downstream course event of each other graph unit which is included in the same hot-spot course event cluster with the current course event as the current course event, returning to each other graph unit except the current graph unit in the hot-spot course event graph data, and determining the comparison result of the course interaction information of the current graph unit and the other graph units to obtain a first comparison result description value.
It can be understood that the downstream graph units are graph units having connection relations and transfer relations with corresponding graph units, and by analyzing the downstream graph units, the integrity of clustering can be ensured, and omission of some downstream graph units in the clustering process can be avoided.
(2) And judging whether the number of hot spot course events in each hot spot course event cluster is greater than a preset number threshold or not, if so, determining noise hot spot course events from the hot spot course event cluster, and removing the noise hot spot course events from a first global synchronous course log.
In the embodiment of the application, the noise hot-spot course event can be understood as a hot-spot course event which interferes with the first global synchronous course log and may cause an accumulated error of the first global synchronous course log in a time sequence.
On the basis of the above step (1) and step (2), when the step S2 describes importing the first hot-spot course event into the generated first global synchronous course log, further includes: and recording the current time as the import time of the course log of the first hot course event. Based on this, the determining the noise hot-spot course event from the hot-spot course event cluster described in step (2) includes: determining the hot course event with the earliest course log importing time in the hot course event cluster as a noise hot course event; or, for each hot-spot course event in the hot-spot course event cluster, determining the similarity between the hot-spot course event and other hot-spot course events in the hot-spot course event cluster; and determining the corresponding hot-spot course event with the minimum similarity as a noise hot-spot course event.
On the basis of the above step (1) and step (2), when the step S2 describes importing the first hot-spot course event into the generated first global synchronous course log, further includes: and recording the current time as the import time of the course log of the first hot course event. Based on this, the determining the noise hot-spot course event from the hot-spot course event cluster described in step (2) includes: dividing all hot course events in the hot course event cluster, wherein each hot course event in the same division group is associated with the same course log segment; judging whether all the divided groups have the divided groups meeting specified conditions, wherein the specified conditions are as follows: hot course events in the divided groups do not belong to the same global synchronous course log; if yes, determining the hot course event with the earliest course log import time in the divided groups meeting the specified conditions as a noise hot course event; and if not, determining the hot course event with the earliest course log import time in all the divided and grouped hot course events as the hot course event with noise.
It can be understood that by analyzing the import time of the course log and judging the noise hot course event by combining the similarity, the judgment precision of the noise hot course event can be improved, and the misjudgment of the hot course events except the noise hot course event can be avoided.
In some optional embodiments, based on the adjusting the first global synchronized curriculum log using the historical global synchronized curriculum log described in step S3, the method can further include the following step S4.
Step S4: and performing online education interaction mining on the adjusted first global synchronous course log to obtain an online education interaction demand corresponding to the first global synchronous course log.
In the embodiment of the application, the online education interaction requirements can include course content optimization requirements, teacher resource distribution optimization requirements, visual interaction interface optimization requirements and the like. In this way, relevant online education services/products can be optimized through online education interaction needs.
In some optional embodiments, the performing online education interaction mining on the adjusted first global synchronous course log in the above step S4 to obtain the online education interaction requirement corresponding to the first global synchronous course log may include the following steps S41-S44.
Step S41: acquiring a curriculum log visual data set in the adjusted first global synchronous curriculum log, wherein the curriculum log visual data set comprises y groups of uninterrupted curriculum log visual data, and y is an integer greater than 1; and acquiring a local visual data set according to the curriculum log visual data set, wherein the local visual data set comprises uninterrupted y groups of local visual data.
For example, the curriculum log visualization data can be understood as graphical interaction data, and the local visualization data can be understood as a portion of the curriculum log visualization data.
Step S42: based on the visual data set of the curriculum logs, acquiring a curriculum log description content characteristic set through a first description content identification sub-thread included in a curriculum log requirement mining thread, wherein the curriculum log description content characteristic set comprises y curriculum log description content characteristics; and acquiring a local description content feature set through a second description content identification sub-thread included by the curriculum log requirement mining thread on the basis of the local visualization data set, wherein the local description content feature set comprises y local description content features.
For example, the course log demand mining thread may be a convolutional neural network model, the first description content identifier sub-thread may be understood as a feature extraction network, correspondingly, the course log description content features may be understood as feature data of the course log visualization data, and the local description content features may be understood as feature data of the local visualization data set.
Step S43: and based on the curriculum log description content characteristic set and the local description content characteristic set, acquiring an interaction requirement label corresponding to the curriculum log visual data set through a classification sub-thread included in the curriculum log requirement mining thread.
For example, the category child thread may be a fully connected layer, and the interaction requirement label is used to distinguish different interaction requirements, such as classroom content requirements, teacher and resource allocation requirements, and the like.
Step S44: and determining the online education interaction requirements of the course log visual data set according to the interaction requirement labels.
For example, the interaction requirement tags can be arranged and translated to obtain the online education interaction requirements of the visual course log data set, and the online education interaction requirements corresponding to the first globally synchronous course log can also be understood, so that the related online education services/products can be optimized according to the online education interaction requirements.
In some optional embodiments, the obtaining, by the classification sub-thread included in the course log requirement mining thread, the interaction requirement tag corresponding to the course log visualization data set based on the course log descriptive content feature set and the local descriptive content feature set in step S43 may include the following technical solutions described in steps S4311 to S4314.
Step S4311: and based on the curriculum log description content feature set, extracting a sub-thread through a first global queue included by the curriculum log requirement mining thread to obtain y first description content queues, wherein each first description content queue corresponds to one curriculum log description content feature.
Step S4312: and based on the local descriptive content feature set, extracting a sub-thread through a second global queue included by the curriculum log requirement mining thread to obtain y second descriptive content queues, wherein each second descriptive content queue corresponds to one local descriptive content feature.
Step S4313: and integrating the y first descriptive content queues and the y second descriptive content queues to obtain y target descriptive content queues, wherein each target descriptive content queue comprises a first descriptive content queue and a second descriptive content queue.
Step S4314: acquiring a fusion description content queue through a time domain attention sub-thread included by the curriculum log demand mining thread based on the y target description content queues, wherein the fusion description content queue is determined according to the y target description content queues and y time domain description values, and each target description content queue corresponds to one time domain description value; and based on the fusion description content queue, acquiring an interaction requirement label corresponding to the visual curriculum log data set through a classification sub-thread included in the curriculum log requirement mining thread.
For example, the time domain description value may be understood as a timing weight, and the time domain attention child thread may be understood as a time attention network.
In some optional embodiments, the obtaining, by the classification sub-thread included in the course log requirement mining thread, the interaction requirement tag corresponding to the course log visualization data set based on the course log descriptive content feature set and the local descriptive content feature set in step S43 may include the following technical solutions described in steps S4321 to S4324.
Step S4321: based on the curriculum log description content feature set, y first description content queues are obtained through a first airspace concern sub-thread included by the curriculum log requirement mining thread, wherein each first description content queue corresponds to one curriculum log description content feature.
Step S4322: based on the local descriptive content feature set, y second descriptive content queues are obtained through second airspace concerned sub-threads included in the curriculum log requirement mining thread, wherein each second descriptive content queue corresponds to one local descriptive content feature.
Step S4323: and integrating the y first descriptive content queues and the y second descriptive content queues to obtain y target descriptive content queues, wherein each target descriptive content queue comprises a first descriptive content queue and a second descriptive content queue.
Step S4324: and based on the y target description content queues, acquiring an interaction requirement label corresponding to the visual course log data set through the classification sub-thread included in the course log requirement mining thread.
For example, spatial attention sub-threads may be understood as a spatial attention network.
It can be understood that, through the above steps S4311-S4314 and steps S4321-S4324, the interaction requirement labels corresponding to the visual course log data sets can be accurately determined by considering from the time domain level and the spatial domain level, respectively.
It can be understood that, by applying the embodiment of the present application, when it is determined that the currently acquired online education interaction data satisfies the hot-spot course event analysis condition for the online education interaction data, the online education interaction data is determined as a first hot-spot course event, a generated first global synchronous course log is imported, a historical global synchronous course log corresponding to the first global synchronous course log and corresponding to the same course interaction state is acquired, and when it is determined that the first global synchronous course log needs to be adjusted by using the historical global synchronous course log, the first global synchronous course log is adjusted by using the historical global synchronous course log, thereby realizing generation of the global synchronous course log of the continuously variable online education interaction scene, and because in the process of generating the global synchronous course log, the generated global synchronous course logs are adjusted by using the historical global synchronous course logs in the same course interaction state, so that the course log error rate of the generated global synchronous course logs can be reduced, the usability of the generated global synchronous course logs in a longer time range can be ensured, and the generated global synchronous course logs can be updated and optimized quickly and in real time.
Next, in view of the above-mentioned big data resource sharing method applied to online education, an exemplary big data resource sharing apparatus applied to online education is further provided in an embodiment of the present invention, and as shown in fig. 2, the big data resource sharing apparatus 200 applied to online education may include the following functional modules.
The transmission instruction receiving module 210 is configured to receive a shared resource transmission instruction of an online education service, where the shared resource transmission instruction carries an online education shared resource to be transmitted, and is configured to instruct to load the online education shared resource into a dynamic education service interaction system, where the dynamic education service interaction system includes a plurality of shared resource mirror service terminals and a plurality of shared resource loading service terminals, and one shared resource loading service terminal is associated with at least one shared resource mirror service terminal.
A mirror image service determining module 220, configured to determine a target shared resource mirror image server matched with the online education shared resource based on the shared resource tag information of the online education shared resource and the number of the shared resource mirror image servers.
The loading service determining module 230 is configured to determine, based on a mapping list between the shared resource loading server and the shared resource mirroring server, a first shared resource loading server associated with the target shared resource mirroring server.
A shared resource loading module 240, configured to load the online education shared resource to the first shared resource loading server, and update the service state tag information of the target shared resource mirroring server and the loading credential data of the online education shared resource into a loading directory of the first shared resource loading server, where the service state tag information of the target shared resource mirroring server and the loading credential data are used to detect the service state of the online education shared resource when the online education server calls the online education shared resource.
Then, based on the above method embodiment and device embodiment, the embodiment of the present invention further provides a system embodiment, that is, a big data resource sharing system applied to online education, please refer to fig. 3, where the big data resource sharing system 30 applied to online education may include a resource sharing server 10 and an online education server 20. Wherein the resource sharing server 10 and the online education service 20 communicate to implement the above method, and further, the functionality of the big data resource sharing system 30 applied to online education is described as follows.
The resource sharing server 10 receives a shared resource transmission instruction of an online education service terminal 20, wherein the shared resource transmission instruction carries an online education shared resource to be transmitted and is used for instructing to load the online education shared resource into a dynamic education service interaction system, the dynamic education service interaction system comprises a plurality of shared resource mirror image service terminals and a plurality of shared resource loading service terminals, and one shared resource loading service terminal is associated with at least one shared resource mirror image service terminal; determining a target shared resource mirror image server matched with the online education shared resource based on the shared resource label information of the online education shared resource and the number of the shared resource mirror image servers; determining a first shared resource loading server associated with the target shared resource mirror image server based on a mapping list between the shared resource loading server and the shared resource mirror image server; loading the online education shared resource to the first shared resource loading server, and updating the service state tag information of the target shared resource mirroring server and the loading voucher data of the online education shared resource to a loading catalog of the first shared resource loading server, wherein the service state tag information of the target shared resource mirroring server and the loading voucher data are used for detecting the service state of the online education shared resource when the online education server calls the online education shared resource.
Further, referring to fig. 4, the resource sharing server 10 may include a processing engine 110, a network module 120 and a memory 130, wherein the processing engine 110 and the memory 130 communicate through the network module 120.
Processing engine 110 may process the relevant information and/or data to perform one or more of the functions described herein. For example, in some embodiments, processing engine 110 may include at least one processing engine (e.g., a single core processing engine or a multi-core processor). By way of example only, the Processing engine 110 may include a Central Processing Unit (CPU), an Application-Specific Integrated Circuit (ASIC), an Application-Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a Reduced Instruction Set Computer (RISC), a microprocessor, or the like, or any combination thereof.
Network module 120 may facilitate the exchange of information and/or data. In some embodiments, the network module 120 may be any type of wired or wireless network or combination thereof. Merely by way of example, the Network module 120 may include a cable Network, a wired Network, a fiber optic Network, a telecommunications Network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a Wireless personal Area Network, a Near Field Communication (NFC) Network, and the like, or any combination thereof. In some embodiments, the network module 120 may include at least one network access point. For example, the network module 120 may include wired or wireless network access points, such as base stations and/or network access points.
The Memory 130 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 130 is used for storing a program, and the processing engine 110 executes the program after receiving the execution instruction.
It is to be understood that the configuration shown in fig. 4 is merely illustrative, and the resource sharing server 10 may include more or fewer components than shown in fig. 4, or have a different configuration than shown in fig. 4. The components shown in fig. 4 may be implemented in hardware, software, or a combination thereof.
It should be understood that, for the above, a person skilled in the art can deduce from the above disclosure to determine the meaning of the related technical term without doubt, for example, for some values, coefficients, weights, indexes, factors, and other terms, a person skilled in the art can deduce and determine from the logical relationship between the above and the following, and the value range of these values can be selected according to the actual situation, for example, 0 to 1, for example, 1 to 10, and for example, 50 to 100, which are not limited herein.
The skilled person can unambiguously determine some preset, reference, predetermined, set and target technical features/terms, such as threshold values, threshold intervals, threshold ranges, etc., from the above disclosure. For some technical characteristic terms which are not explained, the technical solution can be clearly and completely implemented by those skilled in the art by reasonably and unambiguously deriving the technical solution based on the logical relations in the previous and following paragraphs. Prefixes of unexplained technical feature terms, such as "first", "second", "previous", "next", "current", "history", "latest", "best", "target", "specified", and "real-time", etc., can be unambiguously derived and determined from the context. Suffixes of technical feature terms not to be explained, such as "list", "feature", "sequence", "set", "matrix", "unit", "element", "track", and "list", etc., can also be derived and determined unambiguously from the foregoing and the following.
The foregoing disclosure of embodiments of the present invention will be apparent to those skilled in the art. It should be understood that the process of deriving and analyzing technical terms, which are not explained, by those skilled in the art based on the above disclosure is based on the contents described in the present application, and thus the above contents are not an inventive judgment of the overall scheme.
It should be appreciated that the system and its modules shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).
It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.
The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the numbers allow for adaptive variation. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.

Claims (10)

1. A data management method of a dynamic education service interaction system, applied to a resource sharing server, the method comprising:
receiving a shared resource transmission instruction of an online education service end, wherein the shared resource transmission instruction carries online education shared resources to be transmitted and is used for instructing to load the online education shared resources into a dynamic education service interaction system, the dynamic education service interaction system comprises a plurality of shared resource mirror image service ends and a plurality of shared resource loading service ends, and one shared resource loading service end is associated with at least one shared resource mirror image service end;
determining a target shared resource mirror image server matched with the online education shared resource based on the shared resource label information of the online education shared resource and the number of the shared resource mirror image servers;
determining a first shared resource loading server associated with the target shared resource mirror image server based on a mapping list between the shared resource loading server and the shared resource mirror image server;
loading the online education shared resource to the first shared resource loading server, and updating the service state tag information of the target shared resource mirroring server and the loading voucher data of the online education shared resource to a loading catalog of the first shared resource loading server, wherein the service state tag information of the target shared resource mirroring server and the loading voucher data are used for detecting the service state of the online education shared resource when the online education server calls the online education shared resource.
2. The method of claim 1, wherein the loading the online education shared resource to the first shared resource loading server comprises:
in response to the first shared resource loading server including a target storable resource set, wherein the target storable resource set is a storable resource set used for loading online education shared resources matched with the target shared resource mirroring server, loading the online education shared resources into the target storable resource set;
responding to the first shared resource loading server not including the target storable resource set, allocating a target storable resource set to the target shared resource mirroring server, and loading the online education shared resource into the allocated target storable resource set.
3. The method according to claim 1, wherein the updating the service state tag information of the target shared resource mirroring service and the loading credential data of the online education shared resource into the loading directory of the first shared resource loading service comprises:
in response to the situation that the service state label information of the target shared resource mirror image server and the loading voucher data of the online education shared resource do not exist in the loading catalog, loading the service state label information of the target shared resource mirror image server and the loading voucher data of the online education shared resource into the loading catalog of the first shared resource loading server;
and in response to the existence of the service state label information of the target shared resource mirror image server and the loading voucher data of the online education shared resource in the loading catalog, replacing the loaded service state label information and the loading voucher data in the loading catalog with the service state label information of the target shared resource mirror image server and the loading voucher data of the online education shared resource respectively.
4. The method of claim 1, further comprising:
in the dynamic education service interaction system, determining a second shared resource loading server, wherein the second shared resource loading server is a shared resource backup server of the first shared resource loading server;
and backing up the online education shared resources to the second shared resource loading server.
5. The method of claim 4, further comprising:
responding to the fact that the second shared resource loading server is in an off-line state, determining a third shared resource loading server from the dynamic education service interaction system, and backing up online education shared resources in the first shared resource loading server to the third shared resource loading server;
and in response to the fact that the first shared resource loading server is in an offline state, taking the second shared resource loading server as a main shared resource loading server of the target shared resource mirroring server, determining a shared resource backup server for the second shared resource loading server from the dynamic education service interaction system, and backing up online education shared resources in the second shared resource loading server to the shared resource backup server.
6. The method of claim 1, further comprising:
responding to the situation that any shared resource loading server of the dynamic education service interaction system is in a non-online state, and determining a shared resource mirror image server related to the shared resource loading server in the non-online state;
determining a shared resource loading server again for the shared resource mirror image server, and updating the service state label information of the shared resource mirror image server;
and updating a mapping list between the shared resource loading server and the shared resource mirror image server based on the updated service state label information of the shared resource mirror image server and the re-determined server label information of the shared resource loading server.
7. The method of claim 6, further comprising:
adding the re-determined server label information of the shared resource loading server to server association topology information of the shared resource mirroring server, wherein the server association topology information comprises server label information of a plurality of shared resource loading servers previously associated with the shared resource mirroring server and transmission conditions among the plurality of shared resource loading servers;
and updating the server-side associated topology information to each shared resource loading server side of the dynamic education service interaction system.
8. The method of claim 1, further comprising:
receiving a first calling instruction of the online education service terminal, wherein the first calling instruction carries shared resource label information of online education shared resources to be called;
determining a target shared resource mirror image server matched with the online education shared resource based on the shared resource label information of the online education shared resource and the number of the shared resource mirror image servers;
determining a first shared resource loading server associated with the target shared resource mirror image server based on a mapping list between the shared resource loading server and the shared resource mirror image server;
acquiring the online education shared resource from the first shared resource loading server, and sending the online education shared resource to the online education server;
correspondingly, the acquiring the online education shared resource from the first shared resource loading server includes:
sending a second call instruction to the first shared resource loading server, where the second call instruction carries service state tag information of the target shared resource mirror server and shared resource tag information of the online education shared resource, where the service state tag information is used by the first shared resource loading server to verify a service state of the loaded online education shared resource, and the shared resource tag information of the online education shared resource is used by the first shared resource loading server to obtain the online education shared resource;
and receiving the online education shared resource sent by the first shared resource loading server.
9. The method of claim 1, further comprising:
judging whether the currently acquired online education interaction data meet preset hot course event analysis conditions aiming at the online education interaction data, and if so, determining that the online education interaction data are first hot course events;
importing the first hot course event into a generated first global synchronous course log, and acquiring a historical global synchronous course log corresponding to the first global synchronous course log; wherein the historical global synchronous course log and the first global synchronous course log correspond to the same course interaction state;
judging whether the first global synchronous course log needs to be adjusted or not by utilizing the historical global synchronous course log; and if so, adjusting the first global synchronous course log by utilizing the historical global synchronous course log.
10. A resource sharing server comprising a processing engine, a network module, and a memory; the processing engine and the memory communicate through the network module, the processing engine reading a computer program from the memory and operating to perform the method of any of claims 1-9.
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