CN112019650A - IP address recommendation method and device and server - Google Patents
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/50—Address allocation
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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Abstract
The disclosure provides an IP address recommendation method, device and server; the IP address recommendation method comprises the following steps: acquiring first parameter information fed back by a client and second parameter information fed back by a server, wherein the server is a background server of a target application program operated by the client; generating an IP address list based on the first parameter information and the second parameter information; issuing the IP address list to the client so that the client establishes communication connection with a target IP address based on the IP address list; wherein the list of IP addresses includes the target IP address. The technical scheme provided by the disclosure at least solves the problem of low efficiency of the IP address configuration mode in the related technology.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to an IP address recommendation method, an IP address recommendation device, and a server.
Background
With the continuous development of internet infrastructure, the situations of multi-region deployment and multi-platform deployment are more and more common. In the related art, in order to ensure that users in different regions and different scenes can obtain better Internet Protocol (IP) resources when making client requests, manual IP address configuration is usually performed by an administrator. However, this configuration method relying on the administrator is not only time-consuming for the administrator, but also inefficient.
Disclosure of Invention
The present disclosure provides an IP address recommendation method, device and server, so as to at least solve the problem of low efficiency of an IP address configuration mode in the related art. The technical scheme of the disclosure is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided an IP address recommendation method, including:
acquiring first parameter information fed back by a client and second parameter information fed back by a server, wherein the server is a background server of a target application program operated by the client;
generating an IP address list based on the first parameter information and the second parameter information;
issuing the IP address list to the client so that the client establishes communication connection with a target IP address based on the IP address list;
wherein the list of IP addresses includes the target IP address.
The system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire first parameter information fed back by a client and second parameter information fed back by a server, and the server is a background server of a target application program operated by the client;
a generating unit configured to generate an IP address list based on the first parameter information and the second parameter information;
a sending unit configured to issue the IP address list to the client, so that the client establishes a communication connection with a target IP address based on the IP address list;
wherein the list of IP addresses includes the target IP address.
According to a third aspect of the embodiments of the present disclosure, there is provided a server, including:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the IP address recommendation method as described in the first aspect.
According to a fourth aspect of embodiments of the present disclosure, there is provided a storage medium whose instructions, when executed by a processor of a server, enable the server to perform the IP address recommendation method as described in the first aspect.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product capable of executing the steps of the IP address recommendation method as described in the first aspect.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
the server can generate an IP address list based on the acquired first parameter information fed back by the client and the acquired second parameter information fed back by the server, and can issue the IP address list to the client, so that the client establishes communication connection with a target IP address in the IP address list, and thus, the server automatically completes the IP address without manual configuration of the IP address by an administrator, the operation time of the administrator is effectively saved, and the processing efficiency of network resource scheduling is also improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
Fig. 1 is a flow chart illustrating a method of IP address recommendation in accordance with an exemplary embodiment.
Fig. 2 is a flowchart illustrating a method for generating an IP list in an IP address recommendation method according to an exemplary embodiment.
Fig. 3 is a block diagram illustrating an IP address recommending apparatus according to an exemplary embodiment.
FIG. 4 is a block diagram illustrating a server in accordance with an example embodiment.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating an IP address recommending method used in a server according to an exemplary embodiment, where the IP address recommending method includes the following steps, as shown in fig. 1.
In step S11, first parameter information fed back by the client and second parameter information fed back by the server are obtained.
In the present disclosure, the client may refer to a program corresponding to the server and capable of cooperating with the server to provide local services for the client. In some possible embodiments, the client may also be referred to as a user side.
The server is a background server of a target application program operated by the client and corresponds to the client. The content served by the server includes providing resources for the client, saving client data, and the like. For a detailed overview of the client and the server, reference may be made to related technologies, which are not described in detail in this disclosure.
It should be noted that, the IP address recommendation method provided by the present disclosure is applied to a server, and the server may be a computer program running on the server, or the server may be a communication device independent of the server. The server is in wireless connection with the client, and data transmission between the server and the client and between the server and the client can be achieved.
In this step, the server can obtain first parameter information fed back by the client and second parameter information fed back by the server. Optionally, the server may obtain the first parameter information and the second parameter information in real time, or may obtain the first parameter information fed back by the client and the second parameter information fed back by the server based on a preset period, for example, once per minute.
Optionally, the first parameter information includes at least one of: the region of the client, the address of the requested server, the time consumption of the request, the success rate of the request and the information of the operator.
The region where the client is located refers to a city where the client is located (the accuracy can reach the county and city level). The operator information may refer to a provider capable of providing a network service.
The server address of the request refers to a server address for responding to the request of the client or providing a service. For example, it is assumed that the client is a navigation application, there may be only one background server corresponding to the navigation application, but the background server may be one or more servers deployed in regions such as south china, north china, east china, and the like, and the clients in different regions may perform data interaction with nearby servers, for example, when the region where the client is located belongs to north china, the client establishes a connection with the server corresponding to the north china, and the server address requested by the client is north china.
The request time consumption may be a time length from when the client sends a request message to the server to when the server returns a response message in response to the request message is received, and the request time consumption may reflect a response speed of the server to the client request and may reflect a network state of the server. The request success rate may refer to a ratio of a response message of the server to the request message in the total sent request message, which can be successfully received in the request message sent by the client to the server, and the request success rate may also reflect a network state of the server.
Optionally, the second parameter information includes at least one of: the system comprises a server side flow condition, a server side network condition, a server side memory, a server side load and a server side disk capacity.
It should be noted that the server parameter information may refer to parameter information of a machine where the server is located, for example, a server memory refers to a memory of the machine where the server is located, and a server traffic condition may also refer to a traffic condition of the machine where the server is located.
In step S12, an IP address list is generated based on the first parameter information and the second parameter information.
In the embodiment of the disclosure, after acquiring the first parameter information and the second parameter information, the server can generate an IP address list for the client according to the first parameter information and the second parameter information.
For example, after acquiring the traffic conditions of the region where the client is located and the multiple servers, the server may select a server with a large traffic and closer to the region where the client is located as a target server based on the traffic conditions of the multiple servers, generate an IP address list based on the target server, and send the generated IP address list to the client. The IP address list also includes an IP address of the target server, so that the client can establish a connection with the target server, and thus, the IP address can be allocated to the client in a targeted manner, thereby ensuring stable operation of the client and improving the operation condition of the client.
For another example, the second parameter information acquired by the server includes a server memory, a server disk capacity, and a server load, and if the server memory, the server disk capacity, and the server load all exceed preset thresholds, it indicates that the number of the servers at this time is insufficient to maintain current network operation, and server capacity expansion is required, and these servers are not suitable for providing corresponding services to the client, and then the IP addresses of these servers will not be included in the generated IP address list. In addition, optionally, based on the second parameter information of the servers, the server may further generate a scheduling policy, where the scheduling policy includes a server capacity expansion policy, so as to perform capacity expansion of the servers, and ensure that the servers can maintain normal network operation.
Optionally, referring to fig. 2, the step S12 may further include:
step S121: preprocessing the first parameter information and the second parameter information, wherein the preprocessing comprises at least one of the following: deleting repeated information, deleting abnormal information and supplementing missing information;
step S122: inputting the preprocessed first parameter information and the preprocessed second parameter information into a self-learning model for processing so as to generate an IP address list; the self-learning model is a network model with the input of preprocessed first parameter information and second parameter information and the output of an IP address list.
That is, after acquiring the first parameter information fed back by the client and the second parameter information fed back by the server, the server may perform preprocessing on the acquired parameter information, such as deleting duplicate data, deleting abnormal data, supplementing missing data, and the like, and generate the IP address list based on the preprocessed first parameter information and second parameter information. Therefore, the accuracy of the data can be improved, and the reasonability and the accuracy of the IP address configuration can be further improved.
It should be noted that the abnormal data may be data with a significantly larger or significantly smaller numerical value in the same type of data; the abnormal data usually occurs when the client side fails or the server side fails, and does not represent the normal operation condition of the client side or the server side, and the abnormal data needs to be deleted. And for the occasionally missing data, the prediction can be carried out according to the previous data trend, and the missing data can be completed in time.
In the embodiment of the disclosure, the server may input the preprocessed first parameter information and the preprocessed second parameter information to the self-learning model for processing so as to generate the IP address list. That is, the server can self-learn the preprocessed first parameter information and the second parameter information, for example, the server can self-learn the pre-preprocessed first parameter information and the pre-preprocessed second parameter information by combining the previously received parameter information and the IP address list generated based on the parameters, and iteratively generate the IP address list corresponding to the current first parameter information and the current second parameter information. Therefore, the automatic configuration of the IP address by the server is realized, and the manual configuration by an administrator is not needed, so that the efficiency of network resource scheduling can be improved, and the time of the administrator is saved.
In step S13, issuing the IP address list to the client, so that the client establishes a communication connection with a target IP address based on the IP address list; wherein the list of IP addresses includes the target IP address.
It can be understood that, after the server generates the IP address list based on the acquired first parameter information and the second parameter information, the IP address list can be sent to the client in a targeted manner, so that the client can update the IP address based on the received IP address list, select the target IP address from the IP address list, and establish communication connection, thereby ensuring that the client realizes a better network operation state. After receiving the IP address list, the client may select the IP address closest to the client as the target IP address, or select the IP address of the server with the best network operation condition as the target IP address, so that the client can have a better network operation state.
According to the scheme provided by the disclosure, the server can generate the IP address list aiming at the client resource scheduling based on the acquired first parameter information and the acquired second parameter information, so that the client can establish communication connection with the target IP address in the IP address list, and thus, the IP address recommendation and configuration of the client can be automatically realized, and the server does not need an administrator to manually configure the IP address, and automatically completes the IP address configuration, thereby effectively saving the operation time of the administrator and improving the processing efficiency of network resource scheduling.
It can be understood that the first parameter information acquired by the server includes at least one of a region where the client is located, a requested server address, operator information, time consumed for the request, and a request success rate, and then the server can correspondingly generate an IP address list according to the specific first parameter information.
Optionally, in this embodiment of the present disclosure, in a case that the first parameter information includes a region where the client is located, the step S12 may further include:
determining region information of the client based on the first parameter information, and determining a target server which is away from the client within a preset range based on the second parameter information;
and generating an IP address list according to the IP address of the target server.
It is understood that one program may be matched with a plurality of servers, for example, the servers may be deployed separately in different regions to ensure stable network support is provided for the client. The client is usually in communication connection with one server to realize data interaction, and for example, the client may realize data interaction with the server closest to the client. However, the server may malfunction or the network may operate unstably, which may affect the operation of the client connected to the server.
In the embodiment of the disclosure, the server obtains second parameter information fed back by the multiple servers and first parameter information fed back by the client, based on the first parameter information, a region where the client is located can be determined, and then a target server matched with the client can be determined from the multiple servers, for example, a server closest to the client can be determined as the target server, or a server with the largest flow can be determined as the target server, and an IP address corresponding to the target server is used as a target IP address and issued to the client, so that the client can establish connection with the target server, that is, establish connection with the server closest to the client, and thus, a data transmission distance between the client and the server can be shortened, a transmission rate can be increased, and network operation of the client can be optimized.
Optionally, when the first parameter information includes a request time consumption and/or a request success rate, the step S12 may further include:
determining a first service end currently connected with the client based on the first parameter information, and determining the time consumption and/or the success rate of the request between the client and the first service end;
determining a target server matched with the client based on the second parameter information, and generating an IP address list according to the IP address of the target server;
the target server is used for reducing the time consumption of the request of the client and/or improving the success rate of the request of the client.
It can be understood that, if the first parameter information includes request time consumption and/or request success rate of the target request, a server capable of reducing the request time consumption of the target request and/or improving the request success rate of the target request may be selected from the multiple servers as the target server, for example, the server with a large flow may be determined as the target server, and a target IP address is generated based on the target server and sent to the client, so that the client can establish a connection with the target server based on the target IP address to optimize the request time consumption and/or the request success rate of the client.
The target request may refer to one or more requests on the client, the server may match different servers for different requests, and the generated IP address list also includes IP address lists of IP addresses of multiple target servers, so that different requests can be responded by different servers, and resource preemption caused by that different requests correspond to the same server is avoided.
In addition, in the embodiment of the present disclosure, the server may further perform traffic monitoring and server operation condition monitoring on the multiple servers according to the second parameter information, so as to generate a scheduling policy for the servers. For example, the traffic of the multiple service ends can be monitored by obtaining traffic conditions of the multiple service ends, and then traffic scheduling can be performed on the multiple service ends, for example, the service end with high traffic is preferentially selected as a target service end, so as to reduce the operating pressure of the service end with low traffic; or, through the obtained server memory, server load and server disk capacity, the operation condition of the server can be monitored, for example, the server with large memory, large load and large disk capacity is preferentially selected as a target server, or the server with large memory, large load or large disk capacity is subjected to capacity reduction to save server resources, or the server with small memory, small load or small disk capacity is subjected to capacity expansion to ensure normal operation of the server. Therefore, the IP address list is generated based on the IP address corresponding to the target server and is issued to the client, so that the client can preferentially select to establish communication connection with the target server, the client can be ensured to selectively establish connection with the server with better network operation condition, the network operation condition of the client is optimized, meanwhile, the scheduling of server resources can be realized, the reasonable utilization of the server resources is ensured, and the overall stability of a network operation system is improved.
Fig. 3 is a block diagram illustrating an IP address recommending apparatus according to an exemplary embodiment. Referring to fig. 3, the apparatus includes an acquisition unit 301, a generation unit 302, and a transmission unit 303.
An obtaining unit 301, configured to obtain first parameter information fed back by a client and second parameter information fed back by a server, where the server is a background server of a target application program run by the client;
a generating unit 302 configured to generate an IP address list based on the first parameter information and the second parameter information;
a sending unit 303, configured to issue the IP address list to the client, so that the client establishes a communication connection with a target IP address based on the IP address list;
wherein the list of IP addresses includes the target IP address.
In the embodiment of the disclosure, the IP address recommending device can generate an IP address list for client resource scheduling based on the acquired first parameter information and second parameter information, so that the client can establish communication connection with a target IP address in the IP address list, and thus, the IP address recommending and configuring for the client can be automatically realized, and an administrator does not need to manually configure the IP address, but the server automatically completes the IP address recommending and configuring, thereby effectively saving the operation time of the administrator and improving the processing efficiency of network resource scheduling.
In a possible implementation manner, the generating unit 302 includes:
a preprocessing subunit configured to preprocess the first parameter information and the second parameter information, wherein the preprocessing includes at least one of: deleting repeated information, deleting abnormal information and supplementing missing information;
the generating subunit is used for inputting the preprocessed first parameter information and the preprocessed second parameter information into a self-learning model for processing so as to generate an IP address list; the self-learning model is a network model with the input of preprocessed first parameter information and second parameter information and the output of an IP address list.
In one possible implementation, the first parameter information includes at least one of: the region where the client is located, the address of a requested server, the time consumed by the request, the success rate of the request and the information of an operator;
the second parameter information includes at least one of: the system comprises a server side flow condition, a server side network condition, a server side memory, a server side load and a server side disk capacity.
In a possible implementation manner, in a case that the first parameter information includes a region where the client is located, the generating unit 302 is further configured to:
determining region information of the client based on the first parameter information, and determining a target server which is away from the client within a preset range based on the second parameter information;
and generating an IP address list according to the IP address of the target server.
In a possible implementation manner, in a case that the first parameter information includes a request time consumption and/or a request success rate, the generating unit 302 is further configured to:
determining a first service end currently connected with the client based on the first parameter information, and determining the time consumption and/or the success rate of the request between the client and the first service end;
determining a target server matched with the client based on the second parameter information, and generating an IP address list according to the IP address of the target server;
the target server is used for reducing the time consumption of the request of the client and/or improving the success rate of the request of the client.
With regard to the apparatus in the above embodiment, the specific manner in which each unit performs the operation has been described in detail in the embodiment of the IP address recommendation method, and will not be elaborated here.
Fig. 4 is a block diagram illustrating a server 400 according to an example embodiment. As shown in fig. 4, the server 400 includes a processor 401 and a memory 402 for storing instructions executable by the processor 401. The processor 401 is configured to execute the instruction to implement the steps of the IP address recommendation method, and can achieve the same technical effect, and for avoiding repetition, details are not described here again.
The embodiment of the present disclosure further provides a storage medium including instructions, and when the instructions in the storage medium are executed by a processor of a server, the server can execute the steps of the IP address recommendation method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The embodiments of the present disclosure further provide a computer program product, where the computer program product can execute the steps of the IP address recommendation method and achieve the same technical effect, and in order to avoid repetition, the steps are not described herein again.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. An IP address recommendation method, comprising:
acquiring first parameter information fed back by a client and second parameter information fed back by a server, wherein the server is a background server of a target application program operated by the client;
generating an IP address list based on the first parameter information and the second parameter information;
issuing the IP address list to the client so that the client establishes communication connection with a target IP address based on the IP address list;
wherein the list of IP addresses includes the target IP address.
2. The IP address recommendation method according to claim 1, wherein the generating an IP address list based on the first parameter information and the second parameter information comprises:
preprocessing the first parameter information and the second parameter information, wherein the preprocessing comprises at least one of the following: deleting repeated information, deleting abnormal information and supplementing missing information;
inputting the preprocessed first parameter information and the preprocessed second parameter information into a self-learning model for processing so as to generate an IP address list; the self-learning model is a network model with the input of preprocessed first parameter information and second parameter information and the output of an IP address list.
3. The IP address recommendation method according to claim 1, wherein the first parameter information comprises at least one of: the region where the client is located, the address of a requested server, the time consumed by the request, the success rate of the request and the information of an operator;
the second parameter information includes at least one of: the system comprises a server side flow condition, a server side network condition, a server side memory, a server side load and a server side disk capacity.
4. The IP address recommendation method according to claim 1, wherein, in a case that the first parameter information includes a region where a client is located, generating an IP address list based on the first parameter information and the second parameter information includes:
determining region information of the client based on the first parameter information, and determining a target server which is away from the client within a preset range based on the second parameter information;
and generating an IP address list according to the IP address of the target server.
5. The IP address recommendation method according to claim 1, wherein, in a case that the first parameter information includes request time consumption and/or request success rate, the generating an IP address list based on the first parameter information and the second parameter information includes:
determining a first service end currently connected with the client based on the first parameter information, and determining the time consumption and/or the success rate of the request between the client and the first service end;
determining a target server matched with the client based on the second parameter information, and generating an IP address list according to the IP address of the target server;
the target server is used for reducing the time consumption of the request of the client and/or improving the success rate of the request of the client.
6. An IP address recommending apparatus, comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire first parameter information fed back by a client and second parameter information fed back by a server, and the server is a background server of a target application program operated by the client;
a generating unit configured to generate an IP address list based on the first parameter information and the second parameter information;
a sending unit configured to issue the IP address list to the client, so that the client establishes a communication connection with a target IP address based on the IP address list;
wherein the list of IP addresses includes the target IP address.
7. The IP address recommendation device according to claim 6, wherein the generation unit comprises:
a preprocessing subunit configured to preprocess the first parameter information and the second parameter information, wherein the preprocessing includes at least one of: deleting repeated information, deleting abnormal information and supplementing missing information;
the generating subunit is used for inputting the preprocessed first parameter information and the preprocessed second parameter information into a self-learning model for processing so as to generate an IP address list; the self-learning model is a network model with the input of preprocessed first parameter information and second parameter information and the output of an IP address list.
8. A server, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the IP address recommendation method of any one of claims 1 to 5.
9. A storage medium in which instructions, when executed by a processor of a server, enable the server to perform the IP address recommendation method of any one of claims 1 to 5.
10. A computer program product capable of executing the IP address recommendation method according to any one of claims 1 to 5.
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| CN112383639A (en) * | 2020-12-02 | 2021-02-19 | 北京达佳互联信息技术有限公司 | Micro service balancing method and device |
| CN114785465A (en) * | 2022-04-26 | 2022-07-22 | 上海识装信息科技有限公司 | Method, server and storage medium for realizing remote multi-activity |
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