CN110719325A - Method and device for responding to user request - Google Patents
Method and device for responding to user request Download PDFInfo
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- CN110719325A CN110719325A CN201910943667.8A CN201910943667A CN110719325A CN 110719325 A CN110719325 A CN 110719325A CN 201910943667 A CN201910943667 A CN 201910943667A CN 110719325 A CN110719325 A CN 110719325A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The embodiment of the application discloses a method and a device for responding to a user request. The method comprises the following steps: acquiring a selection request of a user for the cloud system, wherein the selection request comprises use requirement information of the cloud system; determining the matching degree of each type of cloud and the use requirement information according to pre-stored characteristic information of each type of cloud, wherein the characteristic information of the cloud comprises index information of a cloud system in the operation and/or maintenance process; and outputting the matching degree information corresponding to each type of cloud.
Description
Technical Field
The present disclosure relates to the field of information processing, and more particularly, to a method and apparatus for responding to a user request.
Background
With the continuous development of cloud technology, more and more enterprises find that the cloud has the characteristics of easy use and low cost, so that more and more companies use the cloud technology. Currently, clouds can be divided into public clouds, private clouds and hybrid clouds according to different cloud modes; wherein:
public cloud: generally referred to as a cloud that can be used by a third party provider for a user, a public cloud is typically available over the Internet (Internet) and may be free or inexpensive. There are many instances of such a cloud that can provide services throughout an open public network;
public cloud: based on a mode of standard cloud computing (a mode of public cloud service can be free or pay by volume), resources such as applications and storage are created for service providers, and the public can obtain the resources through a network;
private cloud: is built for individual use by one customer and thus provides the most effective control of data, security and quality of service. The company owns the infrastructure and can control the manner in which applications are deployed on this infrastructure. The private cloud can be deployed in a firewall of an enterprise data center, or can be deployed in a safe host hosting place, and the core attribute of the private cloud is a proprietary resource;
wherein, the private cloud includes inside private cloud and outside private cloud, wherein:
the internal private cloud means that an enterprise establishes a server center by itself; the external private cloud refers to a server of a third-party cloud service provider rented by the enterprise, and the maintenance work of the server is also provided by the third-party cloud service provider.
Mixing cloud: is composed of one or more public clouds and a private cloud environment. It is a virtual resource pool organized by management and automation software that allows users to access resources therein on demand through a self-service portal (supporting automatic expansion and dynamic resource allocation).
Because of the wide variety of clouds and the respective performance characteristics of each cloud, how to select a suitable cloud for a user is an urgent problem to be solved.
Disclosure of Invention
In order to solve any technical problem, embodiments of the present application provide a method and an apparatus for responding to a user request.
To achieve the purpose of the embodiment of the present application, an embodiment of the present application provides a method for responding to a user request, including:
acquiring a selection request of a user for the cloud system, wherein the selection request comprises use requirement information of the cloud system;
determining the matching degree of each type of cloud and the use requirement information according to pre-stored characteristic information of each type of cloud, wherein the characteristic information of the cloud comprises index information of a cloud system in the operation and/or maintenance process;
and outputting the matching degree information corresponding to each type of cloud.
An apparatus for responding to a user request, comprising a processor and a memory, wherein the memory stores a computer program that invokes the processor to perform operations comprising:
acquiring a selection request of a user for the cloud system, wherein the selection request comprises use requirement information of the cloud system;
determining the matching degree of each type of cloud and the use requirement information according to pre-stored characteristic information of each type of cloud, wherein the characteristic information of the cloud comprises index information of a cloud system in the operation and/or maintenance process;
and outputting the matching degree information corresponding to each type of cloud.
According to the embodiment provided by the application, the selection request of the user for the cloud system is obtained, wherein the selection request comprises the use requirement information of the cloud system, the matching degree of each type of cloud and the use requirement information is determined according to the pre-stored feature information of each type of cloud, the feature information of the cloud comprises index information of the cloud system in the operation and/or maintenance process, the matching degree information corresponding to each type of cloud is output, the indication information of the selection of different types of clouds is realized, the completion of the selection of the cloud by the user is assisted, and the complexity of the selection is simplified.
Additional features and advantages of the embodiments of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the application. The objectives and other advantages of the embodiments of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the embodiments of the present application and are incorporated in and constitute a part of this specification, illustrate embodiments of the present application and together with the examples of the embodiments of the present application do not constitute a limitation of the embodiments of the present application.
Fig. 1 is a flowchart of a method for responding to a user request according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a cloud-type map provided by an embodiment of the present application;
fig. 3 is a schematic diagram of a map of a cloud provider provided by an embodiment of the present application;
FIG. 4 is a flowchart of a method for responding to a selection request of a user according to an embodiment of the present application;
fig. 5 is a structural diagram of a cloud recommendation system provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application more apparent, the embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that, in the embodiments of the present application, features in the embodiments and the examples may be arbitrarily combined with each other without conflict.
In view of the problems in the related art, the inventors found that the reason why the above problems occur is that:
in practical applications, different users (such as enterprises or individuals) have respective unique use requirements on the cloud, so that the cloud meeting the unique use requirements needs to be selected; only if the advantages and the disadvantages of the clouds are comprehensively known, reasonable selection can be made. In view of the current incomplete related contrast information, there is a great difficulty in performing the type selection operation for the user.
Fig. 1 is a flowchart of a method for responding to a user request according to an embodiment of the present application. The method shown in fig. 1 comprises:
in an exemplary embodiment, the user may be a business or an individual, and the user may be notified of some requirement information through an app or web-side interactive page of the software client, and after detecting the submission of the user, the requirement information of the emissary is obtained.
in an exemplary embodiment, the feature information of the cloud may be determined according to the attribute information of the cloud system, and may include dimension parameters of enterprise size (large, medium, and small enterprises), cost (high, low, and general), installation and operation (managed and unmanaged), sensitive information (present and absent), resource control (required and not required), customized configuration (required and not required), SLA (quality of service) (high, low, and general), compatibility (strong, poor, and general), network performance (high, low), management complexity (high, low), extended performance (strong, poor), flexibility, cloud provider, and the like.
And 103, outputting the matching degree information corresponding to each type of cloud.
In an exemplary embodiment, the matching degree information can be displayed by using a chart format acquired in advance, so that the comparison and the reference of a user are facilitated.
According to the method provided by the embodiment of the application, the selection request of the user for the cloud system is obtained, wherein the selection request comprises the use requirement information of the cloud system, the matching degree of each type of cloud and the use requirement information is determined according to the pre-stored feature information of each type of cloud, the feature information of the cloud comprises index information of the cloud system in the operation and/or maintenance process, the matching degree information corresponding to each type of cloud is output, the indication information of the selection of different types of clouds is realized, the completion of the selection of the cloud by the user is assisted, and the complexity of the selection is simplified.
The method provided by the embodiments of the present application is explained as follows:
in an exemplary embodiment, after outputting the matching degree information corresponding to each type of cloud, the method further includes:
determining provider information providing a cloud of a target type selected by a user after detecting a selection result of the type by the user;
determining the matching degree of the cloud system provided by each supplier and the use demand information according to preset characteristic information of each supplier, wherein the characteristic information of the suppliers comprises index information of cost and/or service quality;
and outputting the matching degree of the cloud system provided by each supplier and the use requirement information.
In an exemplary embodiment, the characteristic information of the provider can be determined by using a service index, is used for describing the characteristics of the cloud provider, and can be input into a system by collecting an attribute parameter index used for selecting as basic data; alternatively, some cloud providers (e.g., Aliskiu, Tencent cloud, Huashi cloud, Kinshan cloud, Amazon AWS, etc.) may enter parameters for price, configuration, performance, etc.
By collecting data, advantages and disadvantages of different types of clouds and characteristics of different suppliers of each type can be comprehensively obtained through comparison, after using demand information of the cloud system is obtained, based on advantages and disadvantages of different types of clouds, a suitable cloud type is selected for a user, and suitable supplier information under the cloud type is further determined, so that most time and energy are saved for using the cloud type and selecting the cloud suppliers.
In an exemplary embodiment, the obtaining a selection request of a user for a cloud system includes:
acquiring locally recorded feature information required by cloud selection, wherein the feature information comprises feature information of a cloud and/or feature information of a supplier;
selecting characteristics which accord with a preset important characteristic judgment strategy from the characteristic information as target characteristic information;
outputting the target characteristic information;
and receiving a selection result of the user on the target characteristic information to obtain the use requirement information of the user on the cloud system.
Through an interactive page of the app and the web end, a user is informed to fill in some required information, the required information can be attribute information of cloud, performance preference, specific requirements additionally added, and selection of a recommendation algorithm, and after the user is detected to submit, the required information of the emissary is obtained. When the requirement information is selected, the requirement information can be selected from the characteristic information of the cloud and/or the characteristic information of the supplier, so that the matching degree can be determined better, and the processing complexity is reduced.
In an exemplary embodiment, after obtaining the selection request of the cloud system from the user, the method further includes:
detecting whether the use requirement information has the personalized requirement of the user;
if the personalized use information of the user is detected, determining a combination of feature information required for meeting the personalized management needs, wherein the combination comprises at least one feature information of a cloud and/or at least one information of a supplier;
determining the matching degree of each type of cloud and the use requirement information according to the combination of the characteristic information; and/or determining the matching degree of the cloud system provided by each supplier and the use requirement information.
When different types of clouds are selected, if a user has personalized requirements (also called specific requirements), which refer to specific service requirements of the user, the specific requirements are introduced into a cloud type spectrum, the cloud type spectrum is continuously perfected, and then an optimal cloud scheme is recommended.
Fig. 2 is a schematic diagram of a cloud-type map provided in an embodiment of the present application. As shown in fig. 2, the center of the graph is of a cloud type, and is specifically divided into a public cloud, an internal private cloud, an external private cloud, and a hybrid cloud; taking a public cloud as an example, cloud feature information (also called attribute information) of the public cloud may include cost, scalability, data security, even configuration, and the like, and each feature information has the corresponding feature value (also called attribute value), for example, the feature value corresponding to scalability is high.
When the provider is selected, if the user has personalized requirements (also called specific requirements), wherein the personalized requirements can be for the type, performance, price, region and the like of the server, a cloud provider map (comprising the construction of service performance, age, price, region, other company selections and the like) is established through the input basic data of the cloud provider, and then the optimal cloud provider is recommended.
Fig. 3 is a schematic diagram of a map of a cloud provider provided in an embodiment of the present application. As shown in fig. 3, the center of the map is a cloud provider, and the country is used as a dividing condition, and is specifically divided into a country and a foreign country, where the country is divided by a plurality of providers, and in the case of the ali cloud, the provider feature information (also called attribute information) may include a network, a user, a system, a disk, and the like, and each feature information has a corresponding feature value (also called attribute value), such as a system disk and a data disk.
In an exemplary embodiment, a matching degree of the each type of cloud with the usage requirement information; and/or the matching degree of the cloud system provided by each supplier and the use requirement information is determined through at least one of the following steps:
mode 1: determining the matching degree with the use demand information according to the use amount acquired in advance; alternatively, the first and second electrodes may be,
in the mode 1, the mode is based on a heat algorithm, for example, when a cloud provider is selected, the most used one can be counted and selected; in enterprises with the same scale and similar requirements, more than one can be selected to be used as a first choice;
calculating the similarity between the characteristic information and the use requirement information, and determining the matching degree with the use requirement information according to the similarity information;
in the mode 2, the mode is a collaborative filtering algorithm, and the most similar to the required attribute parameters are calculated to be taken as preferred cloud recommendation by comparing the attribute parameters;
mode 3: establishing different types of cloud system models or a cloud system model of each supplier by utilizing pre-stored characteristic information, and determining the matching degree with the use requirement information according to the established operation information of the cloud model;
in the mode 3, the model algorithm is used for modeling through series of parameters such as cloud advantages and disadvantages, cloud suppliers and the like which are acquired in advance, basic model data are provided for the model algorithm, and a preferred model is determined as recommendation based on an operation result of the model;
mode 4: and determining at least two matching degrees by adopting at least two preset modes, and calculating the matching degree with the use requirement information according to the weight corresponding to each mode.
In the mode 4, this mode is a hybrid algorithm, and for example, the above three algorithms may be fused and the result may be integrated by weighting calculation.
The method provided by the embodiments of the present application is explained as follows:
fig. 4 is a flowchart of a method for responding to a selection request of a user according to an embodiment of the present application. As shown in fig. 4, an enterprise (or an individual) inputs various cloud advantages and disadvantages parameter options on a pc or a web page, and may also add its own specific requirements, click and submit to a cloud recommendation system for processing (analysis engine), and finally generate a complete cloud analysis report (including detailed information such as a cloud total score, scores of various attributes, charts, recommendations, and the like), through which the enterprise (or the individual) can explicitly select its own desired cloud type and cloud provider.
Fig. 5 is a structural diagram of a cloud recommendation system provided in an embodiment of the present application. As shown in fig. 5, the system includes an access subsystem, an output parameter subsystem, a logging data subsystem, an analysis engine, a recommendation algorithm subsystem, and a cloud analysis reporting subsystem; wherein:
the input parameter subsystem comprises various cloud advantages and disadvantages attribute modules, a specific requirement module and a recommendation algorithm selection module; wherein:
each cloud advantage and disadvantage attribute module is an attribute parameter for determining the advantage and disadvantage of the cloud, and may include at least one of the following:
enterprise size (large, medium, small), cost (high, low, general), installation and operation (hosted, unmanaged), sensitive information (present, absent), resource control (needed, not needed), customized configuration (needed, not needed), SLA (quality of service) (high, low, general), compatibility (strong, poor, general), network performance (high, low), management complexity (high, low), extended performance (strong, poor), flexibility, cloud provider, and so on.
Specific requirements and recommendation algorithms, enterprises or individuals can be filled in according to actual needs.
The input data subsystem is used for inputting the service parameters of the cloud provider, acquiring the characteristics of the cloud provider, and inputting the data into the system by acquiring the data for selecting the attribute parameter indexes as basic data; or, inputting parameters such as price, configuration, performance and the like of some cloud suppliers (such as Aliskiu, Tencent cloud, Huashi cloud, Jinshanyun, Amazon AWS and the like);
in the data entry process, an updating program for regularly updating the cloud provider data can be further arranged, and the cloud provider information data are guaranteed to be the latest.
The access subsystem is used for realizing the acquisition of the demand information and can be acquired by inputting input parameter information by a user, and comprises:
through an interactive page of the app and the web end, a user is informed to fill in some required information, the required information can be attribute information of cloud, performance preference, specific requirements additionally added, and selection of a recommendation algorithm, and after the user is detected to submit, the required information of the emissary is obtained.
The selection information of the cloud can be set according to an attribute parameter indicating the advantages and disadvantages of the cloud. For example, the attribute parameters are displayed on a page, and the required cloud attribute information or performance preference information is determined by checking the attribute parameters in the page.
The analysis engine (intelligent atlas) is introduced in two parts:
1. cloud advantages and disadvantages + specific requirements
And establishing a cloud type map through the cloud type advantages and disadvantages parameters, comparing the advantages and disadvantages of the clouds, and recommending the optimal cloud type (public cloud, internal private cloud, external private cloud and mixed cloud) for a company (or an individual).
The specific requirements of the cloud type map mainly refer to company (or individual) specific business requirements, the requirements are introduced into the cloud type map, the cloud type map is continuously perfected, and the optimal cloud scheme is recommended through a later recommendation algorithm.
2. Cloud provider recommendation + specific requirements
Establishing a cloud provider map (comprising construction of service performance, age, price, region, other company selection and the like) through the input basic data of the cloud provider, and recommending the optimal cloud provider through a later recommendation algorithm.
The specific requirements here are mainly for server type, performance, price, territory, etc.
The recommendation algorithm subsystem can realize recommendation of the cloud according to a pre-stored algorithm, and can recommend in the following ways, including:
(1) heat-based algorithm
For example, in selecting a cloud provider, the most used may be counted as a first choice; and the preference can be selected to use more than one in the same-scale enterprises and similar requirements.
(2) Collaborative filtering algorithm
And comparing the parameter values of the attributes through an analysis engine, and calculating the most similar to the required attribute values to be recommended as a preferred cloud.
(3) Model algorithm
Modeling is carried out through the series of parameters such as cloud advantages and disadvantages and cloud suppliers, and basic model data are provided for a model algorithm.
(4) Hybrid algorithm
And combining the three algorithms, and calculating a comprehensive result by weighting.
The cloud analysis reporting subsystem is used for outputting recommendation results, and specifically comprises at least one of the following:
outputting the scores of the attribute parameter items with the bases and analyzing the charts of the attribute parameters;
outputting cloud types (public cloud, private cloud and mixed cloud) matched with the demands, and giving a score;
if the suppliers need to be selected by the public cloud, the public cloud and the external private cloud, the chart analysis and the corresponding score of the relevant cloud suppliers are carried out, and the most suitable cloud supplier is recommended; wherein the comparison can be made through different dimensions, for example: price, configuration, performance, stability, age of service, cloud provider company usage, and the like.
In the cloud recommendation system, based on the intelligent atlas generated by the analysis engine, advantages and disadvantages of different types of clouds and characteristics of different suppliers of each type can be comprehensively obtained through comparison, after using demand information of the cloud system is obtained, based on advantages and disadvantages of different types of clouds, a proper cloud type is selected for a user, and proper supplier information under the cloud type is further determined, so that most of time and energy are saved when the cloud type and the cloud supplier are selected, an enterprise (or an individual) can better, faster and more conveniently select the needed cloud type and the cloud supplier, and expenses are saved for the cloud type selection of the enterprise.
An embodiment of the present application provides an apparatus for responding to a user request, including a processor and a memory, where the memory stores a computer program, and the processor calls the processor to implement operations including:
acquiring a selection request of a user for the cloud system, wherein the selection request comprises use requirement information of the cloud system;
determining the matching degree of each type of cloud and the use requirement information according to pre-stored characteristic information of each type of cloud, wherein the characteristic information of the cloud comprises index information of a cloud system in the operation and/or maintenance process;
and outputting the matching degree information corresponding to each type of cloud.
In an exemplary embodiment, after the processor calls the processor to implement the operation of outputting the matching degree information corresponding to each type of cloud, the processor calls the processor to implement the following operations further including:
determining provider information providing a cloud of a target type selected by a user after detecting a selection result of the type by the user;
determining the matching degree of the cloud system provided by each supplier and the use demand information according to preset characteristic information of each supplier, wherein the characteristic information of the suppliers comprises index information of cost and/or service quality;
and outputting the matching degree of the cloud system provided by each supplier and the use requirement information.
In an exemplary embodiment, the processor calls the processor to implement the operation of obtaining the user selection request for the cloud system, including:
acquiring locally recorded feature information required by cloud selection, wherein the feature information comprises feature information of a cloud and/or feature information of a supplier;
selecting characteristics which accord with a preset important characteristic judgment strategy from the characteristic information as target characteristic information;
outputting the target characteristic information;
and receiving a selection result of the user on the target characteristic information to obtain the use requirement information of the user on the cloud system.
In an exemplary embodiment, after the processor invokes the processor to implement the operation of obtaining the selection request of the user to the cloud system, the processor invokes the processor to further implement operations comprising:
detecting whether the use requirement information has the personalized requirement of the user;
if the personalized use information of the user is detected, determining a combination of feature information required for meeting the personalized management needs, wherein the combination comprises at least one feature information of a cloud and/or at least one information of a supplier;
determining the matching degree of each type of cloud and the use requirement information according to the combination of the characteristic information; and/or determining the matching degree of the cloud system provided by each supplier and the use requirement information.
In an exemplary embodiment, the processor calls the processor to determine a matching degree of the each type of cloud with the usage requirement information by at least one of; and/or the matching degree of the cloud system provided by each supplier and the use requirement information comprises the following steps:
determining the matching degree with the use demand information according to the use amount acquired in advance; alternatively, the first and second electrodes may be,
calculating the similarity between the characteristic information and the use requirement information, and determining the matching degree with the use requirement information according to the similarity information; alternatively, the first and second electrodes may be,
establishing different types of cloud system models or a cloud system model of each supplier by utilizing pre-stored characteristic information, and determining the matching degree with the use requirement information according to the established operation information of the cloud model;
and determining at least two matching degrees by adopting at least two preset modes, and calculating the matching degree with the use requirement information according to the weight corresponding to each mode.
The device provided by the embodiment of the application acquires a selection request of a user for a cloud system, wherein the selection request comprises using requirement information of the cloud system, the matching degree of each type of cloud and the using requirement information is determined according to pre-stored characteristic information of each type of cloud, the characteristic information of the cloud comprises index information of the cloud system in the operation and/or maintenance process, the matching degree information corresponding to each type of cloud is output, the indication information of selection of different types of clouds is realized, the user is assisted in completing selection of the clouds, and the complexity of selection is simplified.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Claims (10)
1. A method of responding to a user request, comprising:
acquiring a selection request of a user for the cloud system, wherein the selection request comprises use requirement information of the cloud system;
determining the matching degree of each type of cloud and the use requirement information according to pre-stored characteristic information of each type of cloud, wherein the characteristic information of the cloud comprises index information of a cloud system in the operation and/or maintenance process;
and outputting the matching degree information corresponding to each type of cloud.
2. The method according to claim 1, wherein after outputting the matching degree information corresponding to each type of cloud, the method further comprises:
determining provider information providing a cloud of a target type selected by a user after detecting a selection result of the type by the user;
determining the matching degree of the cloud system provided by each supplier and the use demand information according to preset characteristic information of each supplier, wherein the characteristic information of the suppliers comprises index information of cost and/or service quality;
and outputting the matching degree of the cloud system provided by each supplier and the use requirement information.
3. The method of claim 1 or 2, wherein the obtaining of the user selection request for the cloud system comprises:
acquiring locally recorded feature information required by cloud selection, wherein the feature information comprises feature information of a cloud and/or feature information of a supplier;
selecting characteristics which accord with a preset important characteristic judgment strategy from the characteristic information as target characteristic information;
outputting the target characteristic information;
and receiving a selection result of the user on the target characteristic information to obtain the use requirement information of the user on the cloud system.
4. The method according to claim 1 or 2, wherein after obtaining the selection request of the cloud system from the user, the method further comprises:
detecting whether the use requirement information has the personalized requirement of the user;
if the personalized use information of the user is detected, determining a combination of feature information required for meeting the personalized management needs, wherein the combination comprises at least one feature information of a cloud and/or at least one information of a supplier;
determining the matching degree of each type of cloud and the use requirement information according to the combination of the characteristic information; and/or determining the matching degree of the cloud system provided by each supplier and the use requirement information.
5. The method according to claim 1 or 2, wherein the matching degree of each type of cloud with the usage requirement information; and/or the matching degree of the cloud system provided by each supplier and the use requirement information is determined through at least one of the following steps:
determining the matching degree with the use demand information according to the use amount acquired in advance; alternatively, the first and second electrodes may be,
calculating the similarity between the characteristic information and the use requirement information, and determining the matching degree with the use requirement information according to the similarity information; alternatively, the first and second electrodes may be,
establishing different types of cloud system models or a cloud system model of each supplier by utilizing pre-stored characteristic information, and determining the matching degree with the use requirement information according to the established operation information of the cloud model;
and determining at least two matching degrees by adopting at least two preset modes, and calculating the matching degree with the use requirement information according to the weight corresponding to each mode.
6. An apparatus responsive to a user request, comprising a processor and a memory, wherein the memory stores a computer program, and wherein the processor invokes the processor to perform operations comprising:
acquiring a selection request of a user for the cloud system, wherein the selection request comprises use requirement information of the cloud system;
determining the matching degree of each type of cloud and the use requirement information according to pre-stored characteristic information of each type of cloud, wherein the characteristic information of the cloud comprises index information of a cloud system in the operation and/or maintenance process;
and outputting the matching degree information corresponding to each type of cloud.
7. The apparatus of claim 6, wherein after the processor calls the processor to implement the operation of outputting the matching degree information corresponding to each type of cloud, the processor calls the processor to implement the following operations further comprising:
determining provider information providing a cloud of a target type selected by a user after detecting a selection result of the type by the user;
determining the matching degree of the cloud system provided by each supplier and the use demand information according to preset characteristic information of each supplier, wherein the characteristic information of the suppliers comprises index information of cost and/or service quality;
and outputting the matching degree of the cloud system provided by each supplier and the use requirement information.
8. The apparatus of claim 6 or 7, wherein the processor invokes the processor to perform the operation of obtaining the user selection request for the cloud system, comprising:
acquiring locally recorded feature information required by cloud selection, wherein the feature information comprises feature information of a cloud and/or feature information of a supplier;
selecting characteristics which accord with a preset important characteristic judgment strategy from the characteristic information as target characteristic information;
outputting the target characteristic information;
and receiving a selection result of the user on the target characteristic information to obtain the use requirement information of the user on the cloud system.
9. The apparatus of claim 6 or 7, wherein after the processor invokes the processor to implement the operation of obtaining the user selection request for the cloud system, the processor invokes the processor to further implement operations comprising:
detecting whether the use requirement information has the personalized requirement of the user;
if the personalized use information of the user is detected, determining a combination of feature information required for meeting the personalized management needs, wherein the combination comprises at least one feature information of a cloud and/or at least one information of a supplier;
determining the matching degree of each type of cloud and the use requirement information according to the combination of the characteristic information; and/or determining the matching degree of the cloud system provided by each supplier and the use requirement information.
10. The apparatus according to claim 6 or 7, wherein the processor calls the processor to determine a matching degree of each type of cloud with the usage requirement information by at least one of; and/or the matching degree of the cloud system provided by each supplier and the use requirement information comprises the following steps:
determining the matching degree with the use demand information according to the use amount acquired in advance; alternatively, the first and second electrodes may be,
calculating the similarity between the characteristic information and the use requirement information, and determining the matching degree with the use requirement information according to the similarity information; alternatively, the first and second electrodes may be,
establishing different types of cloud system models or a cloud system model of each supplier by utilizing pre-stored characteristic information, and determining the matching degree with the use requirement information according to the established operation information of the cloud model;
and determining at least two matching degrees by adopting at least two preset modes, and calculating the matching degree with the use requirement information according to the weight corresponding to each mode.
Priority Applications (1)
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