CN105812433B - Cloud adaptation processing method and device, terminal and cloud server - Google Patents
Cloud adaptation processing method and device, terminal and cloud server Download PDFInfo
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- CN105812433B CN105812433B CN201410853094.7A CN201410853094A CN105812433B CN 105812433 B CN105812433 B CN 105812433B CN 201410853094 A CN201410853094 A CN 201410853094A CN 105812433 B CN105812433 B CN 105812433B
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Abstract
The embodiment of the invention provides a cloud adaptation processing method, a cloud adaptation processing device, a terminal and a cloud server, wherein the method comprises the following steps: the terminal sends an adaptation request to a cloud server, wherein the adaptation request carries the attribute of a target adaptation point and the characteristics of a target machine type, so that the cloud server obtains target adaptation data according to the attribute of the target adaptation point and the characteristics of the target machine type in a matching mode and returns the target adaptation data to the terminal; the terminal generates a target adaptation model by adopting the target adaptation data; and when the service corresponding to the target adaptation point is detected, the terminal runs the target adaptation model to perform adaptation processing on the terminal. The method and the device can download the adaptation data from the cloud to perform adaptation processing on the terminal, so that the intelligence of the adaptation processing is improved, the universality of the adaptation processing is improved, and the flexibility of the adaptation processing is improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to the technical field of cloud, and particularly relates to a cloud adaptation processing method, a cloud adaptation processing device, a terminal and a cloud server.
Background
With the development of internet technology, terminals are widely used. Because the model designs and the implementations of different terminals are different, the operation of the same service in different terminals carrying the same system may be different; for example: a terminal A produced by a manufacturer A and a terminal B produced by a manufacturer B of an Android (Android, a mobile operating system) 4.0 system are loaded, and a short message sending service in the terminal A can normally run, however, the short message sending service in the terminal B is abnormal because the short message function of the Android4.0 system and the model design of the terminal B have the problem of adaptation compatibility, or because the manufacturer A and the manufacturer B realize the system differently. One service in a terminal corresponds to an adaptation point, which shows that there is a difference in the operation of the corresponding service in different terminals, for example: the short message sending service in the above example may correspond to the adaptation point a, where the adaptation point a represents that there is a difference in the operation of the short message sending service in the terminal a and the terminal B, and the difference indicates that the short message sending service normally operates in the terminal a and abnormally operates in the terminal B. At present, due to the problem of adaptation points of different terminals, application developers usually need to respectively develop application programs for different terminals to solve the adaptation problem, and the adaptation processing scheme undoubtedly reduces the development efficiency of the application programs and reduces the intelligence and flexibility of adaptation processing.
Disclosure of Invention
The embodiment of the invention provides a cloud adaptation processing method and device, a terminal and a cloud server, which can download adaptation data from a cloud end to perform adaptation processing on the terminal, improve the intelligence of the adaptation processing, improve the universality of the adaptation processing and improve the flexibility of the adaptation processing.
A first aspect of an embodiment of the present invention provides a cloud adaptation processing method, which may include:
the terminal sends an adaptation request to a cloud server, wherein the adaptation request carries the attribute of a target adaptation point and the characteristics of a target machine type, so that the cloud server obtains target adaptation data according to the attribute of the target adaptation point and the characteristics of the target machine type in a matching mode and returns the target adaptation data to the terminal;
the terminal generates a target adaptation model by adopting the target adaptation data;
and when the service corresponding to the target adaptation point is detected, the terminal runs the target adaptation model to perform adaptation processing on the terminal.
A second aspect of the embodiments of the present invention provides another cloud adaptation processing method, which may include:
the method comprises the steps that a cloud server receives an adaptation request sent by a terminal, wherein the adaptation request carries the attribute of a target adaptation point and the characteristics of a target machine type;
the cloud server obtains target adaptation data according to the attribute of the target adaptation point and the target machine type characteristic matching;
and the cloud server returns the target adaptation data to the terminal so that the terminal generates a target adaptation model by adopting the target adaptation data, and when a service corresponding to the target adaptation point is detected, the target adaptation model is operated to perform adaptation processing on the terminal.
A third aspect of the embodiments of the present invention provides a cloud adaptation processing apparatus, which may include:
the device comprises a request unit and a processing unit, wherein the request unit is used for sending an adaptation request to a cloud server, and the adaptation request carries the attribute of a target adaptation point and the characteristics of a target machine type, so that the cloud server can obtain target adaptation data according to the attribute of the target adaptation point and the characteristics of the target machine type in a matching manner and return the target adaptation data;
a model generating unit for generating a target adaptation model using the target adaptation data;
and the adaptation processing unit is used for operating the target adaptation model to perform adaptation processing on the terminal when the service corresponding to the target adaptation point is detected.
A fourth aspect of the present invention provides a terminal, which may include the cloud adaptation processing apparatus provided in the third aspect.
A fifth aspect of the embodiments of the present invention provides another cloud adaptation processing apparatus, which may include:
the device comprises a request receiving unit, a processing unit and a processing unit, wherein the request receiving unit is used for receiving an adaptation request sent by a terminal, and the adaptation request carries the attribute of a target adaptation point and the characteristics of a target machine type;
the matching unit is used for obtaining target adaptation data according to the attribute of the target adaptation point and the target model characteristic matching;
and the data returning unit is used for returning the target adaptation data to the terminal so that the terminal generates a target adaptation model by adopting the target adaptation data, and when the service corresponding to the target adaptation point is detected, the target adaptation model is operated to carry out adaptation processing on the terminal.
A sixth aspect of the present invention provides a cloud server, which may include the cloud adaptation processing apparatus provided in the fifth aspect.
The embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a cloud adaptation processing system according to an embodiment of the present invention;
fig. 2 is a flowchart of a cloud adaptation processing method according to an embodiment of the present invention;
fig. 3 is a flowchart of another cloud adaptation processing method according to an embodiment of the present invention;
fig. 4 is a flowchart of another cloud adaptation processing method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an adaptation scheme library according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a cloud adaptation processing apparatus according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of the structure of an embodiment of the model generation unit shown in FIG. 6;
fig. 8 is a schematic structural diagram of a cloud adaptation processing apparatus according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an embodiment of the verification unit shown in fig. 8.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the embodiment of the invention, the terminal can be a notebook computer, a mobile phone, a PAD (tablet computer), a vehicle-mounted terminal, intelligent wearable equipment and other equipment. According to the functional point division of the terminal system, the terminal may include a variety of services including, but not limited to: a short message sending service, a short message receiving service, a call making service, a hang-up call service, a wireless networking service, a GPS (Global Positioning System) Positioning service, and the like. The system of the terminal may include, but is not limited to: android, Windows (an operating system), and the like. Because the model designs and the implementations of different terminals are different, the operation of the same service in different terminals carrying the same system may be different; for example: the short message sending service in the terminal A can normally run due to the terminal A produced by the manufacturer A and the terminal B produced by the manufacturer B which are carried with the android4.0 system, however, the short message sending service in the terminal B is abnormal due to the problem of adaptation compatibility between the short message function of the android4.0 system and the model design of the terminal B or due to the fact that the manufacturer A and the manufacturer B realize the system differently. Aiming at the problem of repairing the abnormal operation service, an adaptation scheme can be downloaded from the cloud end to solve the problem.
One service in a terminal corresponds to an adaptation point, which shows that there is a difference in the operation of the corresponding service in different terminals, for example: the short message sending service in the above example may correspond to the adaptation point a, where the adaptation point a represents that there is a difference in the operation of the short message sending service in the terminal a and the terminal B, and the difference indicates that the short message sending service normally operates in the terminal a and abnormally operates in the terminal B. The adaptation scheme refers to a solution made for solving the operation difference problem of the service corresponding to the adaptation point in different terminals, for example: in the above example, the adaptation scheme of the adaptation point a can solve the operation difference problem of the short message sending service between the terminal a and the terminal B, and after the terminal B downloads the short message sending service from the cloud and uses the adaptation scheme of the adaptation point a, the short message sending service can also normally operate in the terminal B, so that the operation difference problem of the short message sending service between the terminal a and the terminal B is solved.
Fig. 1 is a schematic structural diagram of a cloud adaptation processing system according to an embodiment of the present invention; the system may include: the terminal comprises a cloud server and a plurality of terminals accessed to the cloud server. In the system shown in fig. 1, the cloud server may provide cloud adaptation services for each terminal, and each terminal may download an adaptation scheme from the cloud server for adaptation processing according to the operation needs of the service in the terminal. It should be noted that each terminal can flexibly access to the cloud server in multiple ways, for example: the terminal A can be accessed to the cloud server based on Wireless access modes such as Wifi (Wireless-Fidelity), GPRS (General Packet Radio Service) and the like; and the like, the embodiment of the present invention does not limit the connection relationship between the cloud server and each terminal.
Based on the above description of the embodiment of the present invention, the cloud adaptation processing method provided by the embodiment of the present invention will be described in detail below with reference to fig. 2 to 5.
Fig. 2 is a flowchart of a cloud adaptation processing method according to an embodiment of the present invention; the embodiment describes the flow of the cloud adaptation processing method from the terminal side; in this embodiment, the cloud server may be a cloud server in the system shown in fig. 1, and the terminal may be any one of the terminals in the system shown in fig. 1. The method may comprise the following steps S101-S103.
S101, a terminal sends an adaptation request to a cloud server, wherein the adaptation request carries the attribute of a target adaptation point and the characteristics of a target machine type, so that the cloud server obtains target adaptation data according to the attribute of the target adaptation point and the characteristics of the target machine type in a matching mode and returns the target adaptation data to the terminal.
The adaptation request may be used to request the cloud server to provide an adaptation scheme. One set of adaptation schemes includes: an attribute of an adaptation point, a model characteristic, and a set of adaptation data. Wherein, the attribute of the adaptation point can be used to describe the basic information of the adaptation point, and the attribute of the adaptation point can include but is not limited to: the identification of the adaptation point, the identification of the service corresponding to the adaptation point, the function description of the service corresponding to the adaptation point, and the like. The model characteristic can be used for describing the hardware environment of the terminal, and one type characteristic can be characterized by at least one characteristic value, which can include but is not limited to: vendor feature values, model feature values, SDK (Software Development Kit) version feature values, ROM (Firmware) feature values, and the like. The adaptation data is data for solving the problem of abnormal operation of the service in the terminal and capable of repairing the service in the terminal. The group of adaptation data comprises an adaptation template and at least one adaptation parameter; the adaptive template refers to a framework program which can run in the terminal, and the adaptive parameter refers to a key value which can solve abnormal operation of the service in the terminal; the adaptation template and the adaptation parameters may be assembled into an adaptation model, which refers to a program capable of running in the terminal and containing key values required for the adaptation process. The terminal operation adaptive model can solve the problem of abnormal operation of the service in the terminal and repair the service in the terminal.
In this step, the terminal may send an adaptation request to the cloud server according to actual needs of service operation in the terminal and based on communication connection with the cloud server, to request the cloud server to provide an adaptation scheme. Preferably, an adaptation scheme library is arranged in the cloud server, and the cloud server can match a target adaptation scheme from the adaptation scheme library according to the attribute of the target adaptation point and the target model characteristic carried in the adaptation request and provide the target adaptation scheme for the terminal.
And S102, the terminal generates a target adaptation model by adopting the target adaptation data.
In a specific implementation, the terminal may receive a target adaptation scheme obtained by the cloud server according to an adaptation request of the terminal in a matching manner, where the target adaptation scheme includes target adaptation data, and the target adaptation data includes: a target adaptation template and at least one target adaptation parameter. In this step, the terminal may assemble the target adaptation template with at least one target adaptation parameter to generate a target adaptation model.
S103, when the service corresponding to the target adaptation point is detected, the terminal runs the target adaptation model to perform adaptation processing on the terminal.
The target adaptation model refers to a program capable of running in the terminal and containing key values required for adaptation processing. When a user at the terminal side starts and uses the service corresponding to the target adaptation point, the terminal can detect the service corresponding to the target adaptation point, at this time, the terminal can operate the target adaptation model, and the problem of abnormal operation of the service corresponding to the target adaptation point is solved by using a key value in the target adaptation model, so that the user at the terminal side can normally use the service corresponding to the target adaptation point, and the adaptation processing process of the terminal is completed.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
Please refer to fig. 3, which is a flowchart of another cloud adaptation processing method according to an embodiment of the present invention; the embodiment describes the flow of the cloud adaptation processing method from the cloud server side; in this embodiment, the cloud server may be a cloud server in the system shown in fig. 1, and the terminal may be any one of the terminals in the system shown in fig. 1. The method may include the following steps S201 to S203.
S201, a cloud server receives an adaptation request sent by a terminal, wherein the adaptation request carries the attribute of a target adaptation point and the characteristics of a target machine type.
The adaptation request may be used to request the cloud server to provide an adaptation scheme. One set of adaptation schemes includes: an attribute of an adaptation point, a model characteristic, and a set of adaptation data. Wherein, the attribute of the adaptation point can be used to describe the basic information of the adaptation point, and the attribute of the adaptation point can include but is not limited to: the identification of the adaptation point, the identification of the service corresponding to the adaptation point, the function description of the service corresponding to the adaptation point, and the like. The model characteristic can be used for describing the hardware environment of the terminal, and one type characteristic can be characterized by at least one characteristic value, which can include but is not limited to: vendor eigenvalues, model eigenvalues, SDK version eigenvalues, ROM eigenvalues, and so on. The adaptation data is data for solving the problem of abnormal operation of the service in the terminal and capable of repairing the service in the terminal. The group of adaptation data comprises an adaptation template and at least one adaptation parameter; the adaptive template refers to a framework program which can run in the terminal, and the adaptive parameter refers to a key value which can solve abnormal operation of the service in the terminal; the adaptation template and the adaptation parameters may be assembled into an adaptation model, which refers to a program capable of running in the terminal and containing key values required for the adaptation process. The terminal operation adaptive model can solve the problem of abnormal operation of the service in the terminal and repair the service in the terminal.
In this step, the cloud server may receive, based on the communication connection with the terminal, an adaptation request that is sent by the terminal and requests to provide an adaptation scheme.
And S202, the cloud server obtains target adaptation data according to the attribute of the target adaptation point and the target model characteristic matching.
In the embodiment of the present invention, preferably, an adaptation scheme library is arranged in the cloud server, and the cloud server may match a target adaptation scheme from the adaptation scheme library according to the attribute of the target adaptation point and the target machine type characteristic carried in the adaptation request and provide the target adaptation scheme to the terminal; the target adaptation scheme comprises target adaptation data matched with the attributes of the target adaptation points and the target model characteristics, and the target adaptation data comprises: a target adaptation template and at least one target adaptation parameter.
S203, the cloud server returns the target adaptation data to the terminal so that the terminal generates a target adaptation model by using the target adaptation data, and when a service corresponding to the target adaptation point is detected, the target adaptation model is operated to perform adaptation processing on the terminal.
The cloud server may issue the target adaptation data to the terminal based on a communication connection with the terminal. The terminal can assemble the target adaptation template with at least one target adaptation parameter to generate a target adaptation model. The target adaptation model refers to a program capable of running in the terminal and containing key values required for adaptation processing. When a user at the terminal side starts and uses the service corresponding to the target adaptation point, the terminal can detect the service corresponding to the target adaptation point, at this time, the terminal can operate the target adaptation model, and the problem of abnormal operation of the service corresponding to the target adaptation point is solved by using a key value in the target adaptation model, so that the user at the terminal side can normally use the service corresponding to the target adaptation point, and the adaptation processing process of the terminal is completed.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
Please refer to fig. 4, which is a flowchart of another cloud adaptation processing method according to an embodiment of the present invention; in the embodiment, the flow of the cloud adaptation processing method is explained from the interaction side between the terminal and the cloud server; in this embodiment, the cloud server may be a cloud server in the system shown in fig. 1, and the terminal may be any one of the terminals in the system shown in fig. 1. The method may include the following steps S301 to S313.
S301, the cloud server sets an adaptation scheme library.
The adaptation scheme library stores at least one set of adaptation schemes. Please refer to fig. 5, which is a schematic structural diagram of an adaptation scheme library according to an embodiment of the present invention. One set of adaptation schemes includes: an attribute of an adaptation point, a model characteristic, and a set of adaptation data. As shown in fig. 5, one adaptation scheme includes: the attribute of the adaptation point a1, the model features characterized by feature values Key1 and Key4, and a set of adaptation data consisting of an adaptation template M1 and adaptation parameters P1 and P4.
Wherein, the attribute of the adaptation point can be used to describe the basic information of the adaptation point, and the attribute of the adaptation point can include but is not limited to: the identification of the adaptation point, the identification of the service corresponding to the adaptation point, the functional description of the service corresponding to the adaptation point, and the like; for example: the adaptation point a1 shown in fig. 5 may correspond to a sms service in a terminal, and the attributes of the adaptation point a1 may include: the identifier "a 1" of the adaptation point a1, the identifier "msg-s" of the sms corresponding to the adaptation point a1, the function description of the sms corresponding to the adaptation point a1, and so on.
The model feature may be used to describe a hardware environment of the terminal, and one model feature may be characterized by at least one feature value, which may include but is not limited to: vendor feature values (which may be represented by the feature value Key1 in fig. 5), model feature values (which may be represented by the feature value Key2 in fig. 5), SDK version feature values (which may be represented by the feature value Key3 in fig. 5), and ROM feature values (which may be represented by the feature value Key4 in fig. 5), among others.
The adaptation data is data used for solving the problem of abnormal operation of the service in the terminal and repairing the service in the terminal. A set of adaptation data includes an adaptation template and at least one adaptation parameter. An adaptation template (e.g., the adaptation template M1 or M2 shown in fig. 5) refers to a framework program that can be run in the terminal; the structure of the adaptation template is described below as a specific example, and can be expressed as follows:
adaptation parameters (e.g., adaptation parameters P1, P2, P3, P4 shown in fig. 5) refer to key values capable of resolving a service operation abnormality in a terminal; the adaptation template and the adaptation parameters may be assembled into an adaptation model, which refers to a program capable of running in the terminal and containing key values required for the adaptation process. For example: assume that the adaptation parameters include: sendMultipartText, string.class, list.class, and list.class, the adaptation template in the above example is assembled with the adaptation parameters to form the adaptation template, and the structure of the adaptation template can be expressed as follows:
s302, when the service in the terminal is abnormal, the terminal determines the adaptation point corresponding to the service as a target adaptation point and acquires the attribute of the target adaptation point.
The terminal may store a corresponding relationship between the service in the terminal and the adaptation point, where the corresponding relationship may be stored in a table manner, as shown in the following table one:
table one: service and adaptation point corresponding relation table
In this step, when the service in the terminal is abnormally operated, for example: if the user at the terminal side can not normally send the short message, the abnormal operation of the short message sending service in the terminal is confirmed; or, if the user at the terminal side can not normally dial the call, the abnormal operation of the dialing service in the terminal is confirmed; and the terminal can query the first table, determine the adaptation point corresponding to the service as a target adaptation point, and acquire the attribute of the target adaptation point.
S303, the terminal acquires the model characteristic of the terminal and determines the model characteristic of the terminal as a target model characteristic.
In a specific implementation, the relevant information about the model features of the terminal is typically stored in the system configuration of the terminal. In this step, the terminal may obtain the model feature of the terminal from the system configuration of the terminal, and determine the model feature of the terminal as the target model feature.
And S304, the terminal generates an adaptation request according to the attribute of the target adaptation point and the characteristics of the target model.
The terminal can package the attributes of the target adaptation points and the target machine type characteristics according to a communication protocol between the terminal and the cloud server to generate an adaptation request. The adaptation request may be used to request the cloud server to provide an adaptation scheme.
S305, the terminal sends an adaptation request to the cloud server.
The terminal can send an adaptation request to the cloud server based on the communication connection with the cloud server, and request the cloud server to provide an adaptation scheme.
S306, the cloud server receives the adaptation request sent by the terminal.
The cloud server may receive an adaptation request, which is sent by the terminal and requests to provide an adaptation scheme, based on a communication connection with the terminal.
And S307, the cloud server obtains target adaptation data according to the attribute of the target adaptation point and the target model characteristic matching.
The cloud server can analyze the adaptation request sent by the terminal according to a communication protocol between the cloud server and the terminal to obtain the attribute of the target adaptation point and the characteristics of the target machine type. Further, the cloud server may match a target adaptation scheme from the adaptation scheme library; the target adaptation scheme comprises target adaptation data matched with the attributes of the target adaptation points and the target model characteristics, and the target adaptation data comprises: a target adaptation template and at least one target adaptation parameter.
S308, the cloud server returns the target adaptation data to the terminal.
The cloud server may issue the target adaptation data to the terminal based on a communication connection with the terminal.
S309, the terminal analyzes the target adaptation data to obtain a target adaptation template and target adaptation parameters. Wherein the target adaptation data comprises a target adaptation template and at least one target adaptation parameter.
S310, the terminal assembles the target adaptation template and the target adaptation parameters to generate the target adaptation model.
In this step, the terminal may assemble the target adaptation template with at least one target adaptation parameter to generate a target adaptation model. The target adaptation model refers to a program capable of running in the terminal and containing key values required for adaptation processing.
S311, when the service corresponding to the target adaptation point is detected, the terminal runs the target adaptation model to perform adaptation processing on the terminal.
When a user at the terminal side starts and uses the service corresponding to the target adaptation point, the terminal can detect the service corresponding to the target adaptation point, at this time, the terminal can operate the target adaptation model, and the problem of abnormal operation of the service corresponding to the target adaptation point is solved by using a key value in the target adaptation model, so that the user at the terminal side can normally use the service corresponding to the target adaptation point, and the adaptation processing process of the terminal is completed.
And S312, when a new adaptation scheme is detected, the cloud server performs gray level verification on the new adaptation scheme.
An adaptation team at the cloud server side can formulate a new adaptation scheme according to the operation result of the adaptation scheme reported by each terminal or according to the acquired problems in the operation process of the service in each terminal; in this step, when a new adaptation scheme is detected, the cloud server performs gray level verification on the new adaptation scheme; specifically, the step may specifically include the following steps a-D:
A. and when a new adaptation scheme is detected, the cloud server selects a verification terminal according to the attribute and the model characteristic of the adaptation point included in the new adaptation scheme.
The new adaptation scheme is different from the existing adaptation schemes in the adaptation scheme library, and may refer to a new adaptation scheme established due to generation of a new adaptation point, a new adaptation scheme established due to generation of a new model feature, a new adaptation scheme established for an existing adaptation point and an existing model feature, and the like. In the step a, when a new adaptation scheme is detected, the cloud server may sample a part of terminals from all terminals accessed to the cloud server as verification terminals, model features of the sampled and selected verification terminals are identical to model features included in the new adaptation scheme, and services corresponding to adaptation points included in the new adaptation scheme in the sampled and selected verification terminals have adaptation requirements.
B. And the cloud server sends the adaptation data included in the new adaptation scheme to the verification terminal for operation.
In step B, the process of running the adaptation data included in the new adaptation scheme by the verification terminal may refer to the running process of the terminal to the target adaptation scheme described in the embodiment of the present invention.
C. The cloud server collects operation results of the verification terminal on the adaptation data included in the new adaptation scheme, wherein the operation results include: normal operation or abnormal operation.
In step C, the verification terminal may collect an operation result of the adaptation data included in the new adaptation scheme, and report the result to the cloud server. The operation result comprises the following steps: normal operation or abnormal operation; if the adaptation data included in the new adaptation scheme can be loaded and operated in the verification terminal and the problem that the corresponding service in the verification terminal is abnormal in operation can be solved, indicating that the operation result is normal in operation; otherwise, if the adaptation data included in the new adaptation scheme cannot be loaded and operated in the terminal, or the problem that the corresponding service in the verification terminal is abnormal in operation cannot be solved, it indicates that the operation result is abnormal in operation.
D. And if the operation result is normal operation, the cloud server confirms that the new adaptation scheme passes verification.
S313, after the verification is passed, the cloud server adds the new adaptation scheme to the adaptation scheme library.
It can be understood that, in this step, the cloud server adds the new adaptation scheme to the adaptation scheme library only after the gray scale verification of the new adaptation scheme passes, so that the validity of the new adaptation scheme in the adaptation scheme library can be ensured.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
A cloud adaptation processing apparatus according to an embodiment of the present invention will be described in detail below with reference to fig. 6 to 7. It should be noted that the cloud adaptation processing apparatus shown in fig. 6 to 7 may be operated in any terminal in the system shown in fig. 1, and may be applied to the methods shown in fig. 2 to 5.
Fig. 6 is a schematic structural diagram of a cloud adaptation processing apparatus according to an embodiment of the present invention; the apparatus may include: a requesting unit 101, a model generating unit 102 and an adaptation processing unit 103.
The request unit 101 is configured to send an adaptation request to a cloud server, where the adaptation request carries an attribute of a target adaptation point and a target model feature, so that the cloud server obtains target adaptation data according to the attribute of the target adaptation point and the target model feature in a matching manner, and returns the target adaptation data.
The adaptation request may be used to request the cloud server to provide an adaptation scheme. One set of adaptation schemes includes: an attribute of an adaptation point, a model characteristic, and a set of adaptation data. Wherein, the attribute of the adaptation point can be used to describe the basic information of the adaptation point, and the attribute of the adaptation point can include but is not limited to: the identification of the adaptation point, the identification of the service corresponding to the adaptation point, the function description of the service corresponding to the adaptation point, and the like. The model characteristic can be used for describing the hardware environment of the terminal, and one type characteristic can be characterized by at least one characteristic value, which can include but is not limited to: vendor eigenvalues, model eigenvalues, SDK version eigenvalues, ROM eigenvalues, and so on. The adaptation data is data for solving the problem of abnormal operation of the service in the terminal and capable of repairing the service in the terminal. The group of adaptation data comprises an adaptation template and at least one adaptation parameter; the adaptive template refers to a framework program which can run in the terminal, and the adaptive parameter refers to a key value which can solve abnormal operation of the service in the terminal; the adaptation template and the adaptation parameters may be assembled into an adaptation model, which refers to a program capable of running in the terminal and containing key values required for the adaptation process. The terminal operation adaptive model can solve the problem of abnormal operation of the service in the terminal and repair the service in the terminal.
The request unit 101 may send an adaptation request to the cloud server according to actual needs of service operation in the terminal and based on communication connection with the cloud server, and request the cloud server to provide an adaptation scheme. Preferably, an adaptation scheme library is arranged in the cloud server, and the cloud server can match a target adaptation scheme from the adaptation scheme library according to the attribute of the target adaptation point and the target model characteristic carried in the adaptation request and provide the target adaptation scheme for the terminal.
A model generating unit 102, configured to generate a target adaptation model by using the target adaptation data.
In a specific implementation, the terminal may receive a target adaptation scheme obtained by the cloud server according to an adaptation request of the terminal in a matching manner, where the target adaptation scheme includes target adaptation data, and the target adaptation data includes: a target adaptation template and at least one target adaptation parameter. The model generating unit 102 may assemble the target adaptation template with at least one target adaptation parameter to generate a target adaptation model.
And the adaptation processing unit 103 is configured to run the target adaptation model to perform adaptation processing on the terminal when the service corresponding to the target adaptation point is detected.
The target adaptation model refers to a program capable of running in the terminal and containing key values required for adaptation processing. When a user at the terminal side starts and uses the service corresponding to the target adaptation point, the terminal can detect the service corresponding to the target adaptation point, at this time, the adaptation processing unit 103 can operate the target adaptation model, and solve the problem that the service corresponding to the target adaptation point is abnormal in operation by using a key value in the target adaptation model, so that the user at the terminal side can normally use the service corresponding to the target adaptation point, thereby completing the adaptation processing process of the terminal.
Referring again to fig. 6, optionally, the apparatus may further include: an adaptation point acquisition unit 104, a feature acquisition unit 105, and a request generation unit 106.
An adaptation point obtaining unit 104, configured to determine, when a service in the terminal operates abnormally, an adaptation point corresponding to the service as a target adaptation point, and obtain an attribute of the target adaptation point.
The terminal may store a corresponding relationship between the service in the terminal and the adaptation point, and the corresponding relationship may be stored in a table manner, as shown in table one in the embodiment shown in fig. 4. When the service in the terminal operates abnormally, for example: if the user at the terminal side can not normally send the short message, the abnormal operation of the short message sending service in the terminal is confirmed; or, if the user at the terminal side can not normally dial the call, the abnormal operation of the dialing service in the terminal is confirmed; and the adaptation point obtaining unit 104 may query the first table, determine the adaptation point corresponding to the service as a target adaptation point, and obtain an attribute of the target adaptation point.
A feature obtaining unit 105, configured to obtain a model feature of the terminal, and determine the model feature of the terminal as a target model feature.
In a specific implementation, the relevant information about the model features of the terminal is typically stored in the system configuration of the terminal. The feature obtaining unit 105 may obtain a model feature of the terminal from a system configuration of the terminal, and determine the model feature of the terminal as a target model feature.
And a request generating unit 106, configured to generate an adaptation request according to the attribute of the target adaptation point and the target model characteristic.
The request generating unit 106 may perform encapsulation processing on the attribute of the target adaptation point and the target model feature according to a communication protocol with the cloud server, so as to generate an adaptation request. The adaptation request may be used to request the cloud server to provide an adaptation scheme.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
Please refer to fig. 7, which is a schematic structural diagram of an embodiment of the model generating unit shown in fig. 6; the model generation unit 102 may include: analyzing section 1001 and assembling section 1002.
An analyzing unit 1001, configured to analyze the target adaptation data to obtain a target adaptation template and a target adaptation parameter. Wherein the target adaptation data comprises a target adaptation template and at least one target adaptation parameter.
An assembling unit 1002, configured to assemble the target adaptation template and the target adaptation parameters, so as to generate the target adaptation model.
The assembling unit 1002 may assemble the target adaptation template with at least one target adaptation parameter to generate a target adaptation model. The target adaptation model refers to a program capable of running in the terminal and containing key values required for adaptation processing.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
The embodiment of the present invention further discloses a terminal, which may be any terminal in the system shown in fig. 1, and the terminal may include the cloud adaptation processing apparatus, and the structure and function of the apparatus may refer to the description related to the embodiments shown in fig. 6 to 7, which is not described herein again.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
A cloud adaptation processing apparatus according to an embodiment of the present invention will be described in detail below with reference to fig. 8 to 9. It should be noted that the cloud adaptation processing apparatus shown in fig. 8 to 9 may be operated in a cloud server in the system shown in fig. 1, and may be applied to the methods shown in fig. 2 to 5.
Please refer to fig. 8, which is a schematic structural diagram of a cloud adaptation processing apparatus according to an embodiment of the present invention; the apparatus may include: a request receiving unit 201, a matching unit 202 and a data returning unit 203.
A request receiving unit 201, configured to receive an adaptation request sent by a terminal, where the adaptation request carries an attribute of a target adaptation point and a target model characteristic.
The adaptation request may be used to request the cloud server to provide an adaptation scheme. One set of adaptation schemes includes: an attribute of an adaptation point, a model characteristic, and a set of adaptation data. Wherein, the attribute of the adaptation point can be used to describe the basic information of the adaptation point, and the attribute of the adaptation point can include but is not limited to: the identification of the adaptation point, the identification of the service corresponding to the adaptation point, the function description of the service corresponding to the adaptation point, and the like. The model characteristic can be used for describing the hardware environment of the terminal, and one type characteristic can be characterized by at least one characteristic value, which can include but is not limited to: vendor eigenvalues, model eigenvalues, SDK version eigenvalues, ROM eigenvalues, and so on. The adaptation data is data for solving the problem of abnormal operation of the service in the terminal and capable of repairing the service in the terminal. The group of adaptation data comprises an adaptation template and at least one adaptation parameter; the adaptive template refers to a framework program which can run in the terminal, and the adaptive parameter refers to a key value which can solve abnormal operation of the service in the terminal; the adaptation template and the adaptation parameters may be assembled into an adaptation model, which refers to a program capable of running in the terminal and containing key values required for the adaptation process. The terminal operation adaptive model can solve the problem of abnormal operation of the service in the terminal and repair the service in the terminal.
The request receiving unit 201 may receive an adaptation request for requesting to provide an adaptation scheme, which is sent by the terminal, based on a communication connection with the terminal.
And the matching unit 202 is configured to obtain target adaptation data according to the attribute of the target adaptation point and the target model feature matching.
In the embodiment of the present invention, preferably, an adaptation scheme library is disposed in the cloud server, and the matching unit 202 may match a target adaptation scheme from the adaptation scheme library according to the attribute of the target adaptation point and the target machine type characteristic carried in the adaptation request, and provide the target adaptation scheme to the terminal; the target adaptation scheme comprises target adaptation data matched with the attributes of the target adaptation points and the target model characteristics, and the target adaptation data comprises: a target adaptation template and at least one target adaptation parameter.
A data returning unit 203, configured to return the target adaptation data to the terminal, so that the terminal generates a target adaptation model by using the target adaptation data, and when a service corresponding to the target adaptation point is detected, the target adaptation model is operated to perform adaptation processing on the terminal.
The data returning unit 203 may issue the target adaptation data to the terminal based on a communication connection with the terminal. The terminal can assemble the target adaptation template with at least one target adaptation parameter to generate a target adaptation model. The target adaptation model refers to a program capable of running in the terminal and containing key values required for adaptation processing. When a user at the terminal side starts and uses the service corresponding to the target adaptation point, the terminal can detect the service corresponding to the target adaptation point, at this time, the terminal can operate the target adaptation model, and the problem of abnormal operation of the service corresponding to the target adaptation point is solved by using a key value in the target adaptation model, so that the user at the terminal side can normally use the service corresponding to the target adaptation point, and the adaptation processing process of the terminal is completed.
Referring again to fig. 8, optionally, the apparatus may further include: a setting unit 204, a verification unit 205, and an adding unit 206.
The setting unit 204 is configured to set an adaptation scheme library, where at least one set of adaptation schemes is stored in the adaptation scheme library.
The adaptation scheme library stores at least one set of adaptation schemes. One set of adaptation schemes includes: an attribute of an adaptation point, a model characteristic, and a set of adaptation data. Referring also to fig. 5, a set of adaptation schemes includes: the attribute of the adaptation point a1, the model features characterized by feature values Key1 and Key4, and a set of adaptation data consisting of an adaptation template M1 and adaptation parameters P1 and P4.
Wherein, the attribute of the adaptation point can be used to describe the basic information of the adaptation point, and the attribute of the adaptation point can include but is not limited to: the identification of the adaptation point, the identification of the service corresponding to the adaptation point, the functional description of the service corresponding to the adaptation point, and the like; for example: the adaptation point a1 shown in fig. 5 may correspond to a sms service in a terminal, and the attributes of the adaptation point a1 may include: the identifier "a 1" of the adaptation point a1, the identifier "msg-s" of the sms corresponding to the adaptation point a1, the function description of the sms corresponding to the adaptation point a1, and so on.
The model feature may be used to describe a hardware environment of the terminal, and one model feature may be characterized by at least one feature value, which may include but is not limited to: vendor feature values (which may be represented by the feature value Key1 in fig. 5), model feature values (which may be represented by the feature value Key2 in fig. 5), SDK version feature values (which may be represented by the feature value Key3 in fig. 5), and ROM feature values (which may be represented by the feature value Key4 in fig. 5), among others.
The adaptation data is data used for solving the problem of abnormal operation of the service in the terminal and repairing the service in the terminal. A set of adaptation data includes an adaptation template and at least one adaptation parameter. An adaptation template (e.g., the adaptation template M1 or M2 shown in fig. 5) refers to a framework program that can be run in the terminal; the structure of the adaptation template is described below as a specific example, and can be expressed as follows:
adaptation parameters (e.g., adaptation parameters P1, P2, P3, P4 shown in fig. 5) refer to key values capable of resolving a service operation abnormality in a terminal; the adaptation template and the adaptation parameters may be assembled into an adaptation model, which refers to a program capable of running in the terminal and containing key values required for the adaptation process. For example: assume that the adaptation parameters include: sendMultipartText, string.class, list.class, and list.class, the adaptation template in the above example is assembled with the adaptation parameters to form the adaptation template, and the structure of the adaptation template can be expressed as follows:
a verification unit 205, configured to perform a gray scale verification on the new adaptation scheme when the new adaptation scheme is detected.
An adaptation team at the cloud server side can formulate a new adaptation scheme according to the operation result of the adaptation scheme reported by each terminal or according to the acquired problems in the operation process of the service in each terminal; when a new adaptation scheme is detected, the verification unit 205 performs a grayscale verification on the new adaptation scheme.
An adding unit 206, configured to add the new adaptation scheme to the adaptation scheme library after the verification is passed.
It is understood that, the adding unit 206 adds the new adaptation scheme to the adaptation scheme library only after the gray scale verification of the new adaptation scheme passes, so as to ensure the validity of the new adaptation scheme in the adaptation scheme library.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
Please refer to fig. 9, which is a schematic structural diagram of the verification unit shown in fig. 8 according to an embodiment; the verification unit 205 may include: the verification terminal comprises a verification terminal selection unit 2001, an adaptive data sending unit 2002, an operation result acquisition unit 2003 and a confirmation unit 1002.
The verification terminal selecting unit 2001 is configured to, when a new adaptation scheme is detected, select a verification terminal according to attributes and model features of adaptation points included in the new adaptation scheme.
The new adaptation scheme is different from the existing adaptation schemes in the adaptation scheme library, and may refer to a new adaptation scheme established due to generation of a new adaptation point, a new adaptation scheme established due to generation of a new model feature, a new adaptation scheme established for an existing adaptation point and an existing model feature, and the like. When a new adaptation scheme is detected, the verification terminal selection unit 2001 may sample a part of terminals from all terminals accessed to the cloud server as verification terminals, model features of the sampled and selected verification terminals are matched with model features included in the new adaptation scheme, and services corresponding to adaptation points included in the new adaptation scheme in the sampled and selected verification terminals have adaptation requirements.
An adaptation data sending unit 2002, configured to send the adaptation data included in the new adaptation scheme to the verification terminal for operation.
The process of running the adaptation data included in the new adaptation scheme by the verification terminal may refer to the running process of the terminal to the target adaptation scheme described in the embodiment of the present invention.
An operation result collection unit 2003, configured to collect an operation result of the verification terminal on the adaptation data included in the new adaptation scheme, where the operation result includes: normal operation or abnormal operation.
The verification terminal may collect the operation result of the adaptation data included in the new adaptation scheme, and report the result to the operation result acquisition unit 2003. The operation result comprises the following steps: normal operation or abnormal operation; if the adaptation data included in the new adaptation scheme can be loaded and operated in the verification terminal and the problem that the corresponding service in the verification terminal is abnormal in operation can be solved, indicating that the operation result is normal in operation; otherwise, if the adaptation data included in the new adaptation scheme cannot be loaded and operated in the terminal, or the problem that the corresponding service in the verification terminal is abnormal in operation cannot be solved, it indicates that the operation result is abnormal in operation.
A confirming unit 2004, configured to confirm that the new adaptation scheme is verified if the operation result is normal.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
The embodiment of the present invention further discloses a cloud server, which may be a cloud server in the system shown in fig. 1, and the cloud server may include the cloud adaptation processing apparatus, and the structure and function of the apparatus may refer to the description related to the embodiments shown in fig. 8 to fig. 9, which is not repeated herein.
In the embodiment of the invention, the terminal can request the cloud server to provide the matched adaptation data, the terminal can generate the adaptation model by adopting the adaptation data provided by the cloud server and operate the adaptation model to carry out adaptation processing, so that the normal operation of the service in the terminal is ensured.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (3)
1. A cloud adaptation processing method is applied to a cloud adaptation processing system, the cloud adaptation processing system comprises a cloud server and a terminal, and the method comprises the following steps:
when the service in the terminal operates abnormally, the terminal determines an adaptation point corresponding to the service as a target adaptation point and acquires the attribute of the target adaptation point;
the terminal sends an adaptation request to the cloud server, wherein the adaptation request carries the attribute of a target adaptation point and the characteristics of a target machine type;
the method comprises the following steps that a cloud server receives an adaptation request sent by a terminal, wherein the adaptation request carries attributes of a target adaptation point and target machine type characteristics, the adaptation request is used for requesting the cloud server to provide an adaptation scheme, and one set of adaptation schemes comprise: an attribute of an adaptation point, a model characteristic, and a set of adaptation data;
the cloud server matches and obtains target adaptation data from each adaptation scheme stored in the cloud server according to the attribute of the target adaptation point and the target machine type characteristics, wherein the target adaptation data comprises an adaptation template and at least one adaptation parameter, the adaptation template is a framework program, and the adaptation parameter refers to a key value capable of solving abnormal operation of a service in the terminal;
the cloud server returns the target adaptation data to the terminal;
the terminal generates a target adaptation model according to an adaptation template and at least one adaptation parameter which are included in the target adaptation data, and runs the target adaptation model to perform adaptation processing on the terminal when detecting a service corresponding to the target adaptation data;
when a new adaptation scheme is detected, the cloud server selects verification terminals in a sampling mode according to the attribute and the model characteristic of adaptation points included in the new adaptation scheme, wherein the new adaptation scheme is formulated according to the operation result of the adaptation scheme reported by each terminal or according to the collected problems existing in the operation process of the service in each terminal;
the cloud server sends the adaptation data included in the new adaptation scheme to the verification terminal for operation;
the cloud server collects operation results of the verification terminal on the adaptation data included in the new adaptation scheme, wherein the operation results include: normal operation or abnormal operation;
and if the operation result is normal operation, the cloud server confirms that the new adaptation scheme passes verification.
2. The cloud adaptation processing device is applied to a cloud server, a cloud adaptation processing system comprises the cloud server and a terminal, and the device comprises:
a request receiving unit, configured to receive an adaptation request sent by a terminal, where the adaptation request carries an attribute of a target adaptation point and a target model characteristic, and the adaptation request is used to request to provide an adaptation scheme, where a set of adaptation schemes includes: an attribute of an adaptation point, a model characteristic, and a set of adaptation data; when the service in the terminal runs abnormally, the terminal determines an adaptation point corresponding to the service as a target adaptation point, acquires the attribute of the target adaptation point and then sends the attribute to a cloud server;
the matching unit is used for matching and obtaining target adaptation data from all stored adaptation schemes according to the attributes of the target adaptation points and the target model characteristics, wherein the target adaptation data comprises an adaptation template and at least one adaptation parameter, the adaptation template is a framework program, the adaptation parameter refers to a key value capable of solving abnormal service operation in a terminal, the stored adaptation schemes are determined after verification is carried out on verification terminals corresponding to the corresponding model characteristics and the corresponding adaptation point attributes, and the verification terminals are terminals selected in a sampling mode from all terminals accessed to the cloud server when a new adaptation scheme is detected to exist in an adaptation scheme library;
the data return unit is used for returning the target adaptation data to the terminal;
the returned target adaptation data is used for indicating the terminal to generate a target adaptation model according to an adaptation template and at least one adaptation parameter which are included in the target adaptation data, and when a service corresponding to the target adaptation point is detected, the target adaptation model is operated to carry out adaptation processing on the terminal;
the verification unit is used for carrying out gray level verification on the new adaptation scheme when the new adaptation scheme is detected;
an adding unit, configured to add the new adaptation scheme to the adaptation scheme library after verification passes, where the verifying unit includes:
the verification terminal selection unit is used for sampling and selecting the verification terminal according to the attribute and the model characteristic of an adaptation point included in a new adaptation scheme when the new adaptation scheme is detected, wherein the new adaptation scheme is formulated according to the operation result of the adaptation scheme reported by each terminal or according to the collected problems in the operation process of the service in each terminal;
the adaptation data sending unit is used for sending the adaptation data included in the new adaptation scheme to the verification terminal for operation;
an operation result acquisition unit, configured to acquire an operation result of the verification terminal on the adaptation data included in the new adaptation scheme, where the operation result includes: normal operation or abnormal operation;
and the confirming unit is used for confirming that the new adaptation scheme passes the verification if the operation result is normal.
3. A cloud server characterized by comprising the cloud adaptation processing apparatus according to claim 2.
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