CN112019650B - IP address recommendation method, device and server - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/50—Address allocation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- 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, an IP address recommendation device and a 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; the IP address list is issued 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 disclosure relates to the technical field of communication, and in particular relates to an IP address recommendation method, an IP address recommendation device and a server.
Background
With the continuous development of internet infrastructure, the situation of multi-region deployment and multi-platform deployment is becoming more and more common. In the related art, in order to ensure that users in different regions and under different scenes can obtain better internet protocol (Internet Protocol, IP) resources when making a client request, manual IP address configuration is generally performed by an administrator. However, this manner of relying on an administrator for configuration not only requires more time for the administrator, but is inefficient.
Disclosure of Invention
The 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 present disclosure is as follows:
according to a first aspect of an embodiment 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;
the IP address list is issued 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 server and a control unit, wherein the acquisition unit is configured to acquire first parameter information fed back by a client and second parameter information fed back by the server, and the server is a background server of a target application program operated by the client;
a generation 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 embodiments of the present disclosure, there is provided 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 as described in the first aspect.
According to a fourth aspect of embodiments of the present disclosure, there is provided a storage medium, which when executed by a processor of a server, enables 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 performing 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 as to enable the client to establish communication connection with a target IP address in the IP address list, so that an administrator is not required to manually configure the IP address, the server is automatically completed, 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 disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
Fig. 1 is a flowchart illustrating an IP address recommendation method according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating generation of 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 of a server, according to an example embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of 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 foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
Fig. 1 is a flowchart illustrating an IP address recommending method for use in a server according to an exemplary embodiment, the IP address recommending method including 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 this disclosure, the client may refer to a program corresponding to the server, and capable of running in cooperation with the server, so as to provide local services for the client. In some possible embodiments, the client may also be referred to as a client.
The server is a background server of a target application program operated by the client and corresponds to the client. The content of the server service includes providing resources for clients, saving client data, and the like. The specific overview of the client and the server may refer to the related art, and this disclosure will not be repeated.
It should be noted that, the IP address recommendation method provided in the present disclosure is applied to a server, where the server may be a computer program running on the server, or the server may be a communication device independent from the server. The server is in wireless connection with the client, and can realize data transmission with the client and the server.
In this step, the server can acquire the first parameter information fed back by the client and the second parameter information fed back by the server. Alternatively, the server may acquire the first parameter information and the second parameter information in real time, or may also acquire 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 every minute.
Optionally, the first parameter information includes at least one of: the region where the client is located, 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 (which may be accurate to the county level) where the client is located. 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 that responds to the request of the client or provides a service. For example, assuming 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, etc., and the clients in different regions may perform data interaction with the 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 region, and then the address of the server requested by the client is north China.
The time-consuming request may refer to a time period from when the client sends a request message to the server to when the server receives a response message in response to the request message, where the time-consuming request 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 the ratio of the response message of the server to the request message in the total transmitted request message, which can be successfully received in the request message sent from the client to the server, and the request success rate may also reflect the network state of the server.
Optionally, the second parameter information includes at least one of: server traffic conditions, server network conditions, server memory, server load, server disk capacity.
It should be noted that, the server parameter information may refer to parameter information of a machine where a server is located, for example, a server memory refers to a memory of a machine where a server is located, and a server flow condition may refer to a flow condition of a 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 obtaining 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.
The server, after obtaining the traffic conditions of the region where the client is located and the plurality of servers, can 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 plurality of 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 comprises the IP address of the target server, so that the client can be connected with the target server, the IP address can be allocated for the client in a targeted manner, the running stability of the client is ensured, and the running condition of the client can be improved.
For another example, the second parameter information obtained 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 is indicated that the number of the servers at this time is insufficient to maintain the current network operation, and the servers need to perform server capacity expansion, and these servers are not suitable for providing corresponding services for the clients, and the generated IP address list will not include the IP addresses of these servers. 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 server capacity expansion, and ensure that the server 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 steps: 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 which is input as the first parameter information and the second parameter information after preprocessing and output as 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, for example, delete duplicate data, delete abnormal data, and supplement missing data, and then 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 rationality and the accuracy of the IP address configuration can be further improved.
It should be noted that, the abnormal data may refer to data with obviously larger or obviously smaller values in the same type of data; abnormal data usually occurs when a client fails or a server fails, and does not represent the normal operation condition of the client or the server, and the abnormal data needs to be deleted. For occasionally missing data, prediction can be performed according to previous data trend, and missing data can be completed in time.
In the embodiment of the disclosure, the server may input the preprocessed first parameter information and second parameter information into a self-learning model for processing, so as to generate an IP address list. That is, the server can perform self-learning on the preprocessed first parameter information and the preprocessed second parameter information, for example, by combining the previously received parameter information and an IP address list generated based on the parameters, and iteratively generating the IP address list corresponding to the current first parameter information and the current second parameter information. Therefore, the automatic configuration of the server to the IP address is realized, manual configuration by an administrator is not needed, and further, the efficiency of network resource scheduling can be improved, and the time of the administrator is saved.
In step S13, the IP address list is issued 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 obtained first parameter information and the second parameter information, the IP address list can be issued 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 achieves a better network operation state. After receiving the IP address list, the client may select the IP address closest to the IP address 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 may 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 second parameter information, so that the client can establish communication connection with the target IP address in the IP address list, and therefore the IP address recommendation and configuration of the client can be automatically realized, an administrator is not required to manually configure the IP address, the server is automatically completed, the operation time of the administrator is effectively saved, and the processing efficiency of network resource scheduling is also improved.
It may 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, request time consumption, and request success rate, and then the server can correspondingly generate the IP address list according to the specific first parameter information.
Optionally, in the embodiment of the present disclosure, when the first parameter information includes a region where the client is located, the step S12 may further include:
determining regional information of the client based on the first parameter information, and determining a target server which is away from the client by 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 can be appreciated that one program may be matched with a plurality of servers, for example, the servers may be deployed in different regions, so as to ensure that stable network support is provided for the client. A client is typically communicatively coupled to a server to effect data interaction, such as with the server closest thereto. However, the server may malfunction or the network operation is unstable, which affects the operation of the client connected to the server.
In this embodiment of the present disclosure, the server obtains second parameter information fed back by a plurality of servers and first parameter information fed back by the client, and based on the first parameter information, the region where the client is located can be determined, so that a target server matched with the client can be determined from the plurality of servers, for example, a server closest to the client may be determined as a target server, or a server with a maximum flow may be determined as a target server, and an IP address corresponding to the target server is used as a target IP address, and the target server is sent to the client, so that the client can establish connection with the target server, that is, establish connection with the server closest to the target server, so that a data transmission distance between the client and the server can be shortened, and a transmission rate is improved, so as to optimize network operation of the client.
Optionally, in the case that 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 end based on the first parameter information, and determining time consuming and/or success rate of the request between the client end 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 request time consumption of the client and/or improving the request success rate of the client.
It may be understood that if the first parameter information includes the request time consumption and/or the request success rate of the target request, a server capable of reducing the request time consumption and/or increasing the request success rate of the target request may be selected from multiple servers as the target server, for example, a server with large traffic 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, so as to optimize the request time consumption and/or the request success rate of the client.
The target request may be one or more requests on the client, and the server may match different servers for different requests, so that the generated IP address list includes IP address lists of IP addresses of the multiple target servers, and the different requests can be responded through different servers, so as to avoid resource preemption caused by that the different requests correspond to the same server.
In addition, in the embodiment of the present disclosure, the server may further monitor the traffic and monitor the running condition of the server according to the second parameter information, so as to generate a scheduling policy for the server. For example, the obtained traffic conditions of the plurality of service ends can monitor the traffic of the plurality of service ends, so that traffic scheduling can be performed on the plurality of service ends, for example, the service end with large traffic is preferentially selected as a target service end, so that the operation pressure of the service end with small traffic is reduced; or, through the obtained memory, load and disk capacity of the server, 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 the target server, or the server with large memory, large load or large disk capacity is contracted to save the resources of the server, or the server with small memory, small load or small disk capacity is expanded to ensure the normal operation of the server. Therefore, the IP address list is generated based on the IP address corresponding to the target service end and is issued to the client end, so that the client end can preferentially select to establish communication connection with the target service end, the client end can be ensured to selectively establish connection with the service end with better network operation condition, the network operation condition of the client end is optimized, meanwhile, the scheduling of the service end resources can be realized, the reasonable utilization of the service end resources is ensured, and the overall stability of the 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.
The obtaining unit 301 is 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 operated 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 apparatus can generate the IP address list for the client resource scheduling based on the acquired first parameter information and 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 manual configuration of the IP address is not required by an administrator, but is automatically completed by the server, thereby effectively saving the operation time of the administrator and improving the processing efficiency of the network resource scheduling.
In one possible implementation, 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 the self-learning model for processing so as to generate an IP address list; the self-learning model is a network model which is input as the first parameter information and the second parameter information after preprocessing and output as an IP address list.
In one possible implementation manner, the first parameter information includes at least one of the following: the region where the client is located, 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 second parameter information includes at least one of: server traffic conditions, server network conditions, server memory, server load, server disk capacity.
In a possible implementation manner, in a case where the first parameter information includes a region where the client is located, the generating unit 302 is further configured to:
determining regional information of the client based on the first parameter information, and determining a target server which is away from the client by 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, in case the first parameter information comprises 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 end based on the first parameter information, and determining time consuming and/or success rate of the request between the client end 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 request time consumption of the client and/or improving the request success rate of the client.
With respect to the apparatus in the above embodiment, a specific manner in which each unit performs an operation has been described in detail in the above embodiment of the IP address recommendation method, and will not be described in detail herein.
Fig. 4 is a block diagram of 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 instructions to implement the steps of the IP address recommendation method, and achieve the same technical effects, so that repetition is avoided and detailed description is omitted herein.
The embodiment of the disclosure further provides a storage medium including instructions, 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 the same technical effects can be achieved, so that repetition is avoided, and no further description is given here. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
The embodiments of the present disclosure further provide a computer program product, which can execute the steps of the IP address recommendation method and achieve the same technical effects, and are not repeated herein.
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 adaptations, 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 is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
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, including: preprocessing the first parameter information and the second parameter information, wherein the preprocessing comprises at least one of the following steps: 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 which is input as first parameter information and second parameter information after pretreatment and output as an IP address list;
the IP address list is issued to the client so that the client establishes communication connection with a target IP address based on the IP address list;
wherein the IP address list includes the target IP address, and the first parameter information includes at least one of: the region where the client is located, 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 second parameter information includes at least one of: server traffic conditions, server network conditions, server memory, server load, server disk capacity.
2. The IP address recommendation method according to claim 1, wherein, when the first parameter information includes a region where the client is located, the generating an IP address list based on the first parameter information and the second parameter information includes:
determining regional information of the client based on the first parameter information, and determining a target server which is away from the client by a preset range based on the second parameter information;
and generating an IP address list according to the IP address of the target server.
3. The IP address recommendation method according to claim 1, wherein, in the case where the first parameter information includes a request time consumption and/or a 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 end based on the first parameter information, and determining time consuming and/or success rate of the request between the client end 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 request time consumption of the client and/or improving the request success rate of the client.
4. An IP address recommendation device, comprising:
the system comprises an acquisition unit, a server and a control unit, wherein the acquisition unit is configured to acquire first parameter information fed back by a client and second parameter information fed back by the server, and the server is a background server of a target application program operated by the client;
a generation unit configured to generate an IP address list based on the first parameter information and the second parameter information, the generation unit including: 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 the self-learning model for processing so as to generate an IP address list; the self-learning model is a network model which is input as first parameter information and second parameter information after pretreatment and output as an IP address list;
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 IP address list includes the target IP address, and the first parameter information includes at least one of: the region where the client is located, 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 second parameter information includes at least one of: server traffic conditions, server network conditions, server memory, server load, server disk capacity.
5. The IP address recommending apparatus according to claim 4, wherein in the case where the first parameter information includes a region where the client is located, the generating unit is further configured to:
determining regional information of the client based on the first parameter information, and determining a target server which is away from the client by a preset range based on the second parameter information;
and generating an IP address list according to the IP address of the target server.
6. The IP address recommendation device according to claim 4, wherein in case the first parameter information comprises a request time consumption and/or a request success rate, the generating unit is further configured to:
determining a first service end currently connected with the client end based on the first parameter information, and determining time consuming and/or success rate of the request between the client end 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 request time consumption of the client and/or improving the request success rate of the client.
7. 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 3.
8. A storage medium, which when executed by a processor of a server, enables the server to perform the IP address recommendation method of any one of claims 1 to 3.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105871977A (en) * | 2015-11-27 | 2016-08-17 | 乐视体育文化产业发展（北京）有限公司 | Long connection establishment method and system, and devices |
| WO2018064939A1 (en) * | 2016-10-09 | 2018-04-12 | 腾讯科技（深圳）有限公司 | Method for disaster recovery of audio and video communication connection, apparatus and system |
| CN109600245A (en) * | 2017-09-30 | 2019-04-09 | 北京国双科技有限公司 | Server method of automatic configuration and device |
| CN110022378A (en) * | 2019-04-22 | 2019-07-16 | 苏州排忧网络技术有限责任公司 | Vpn server smart allocation method based on state |
| CN110674009A (en) * | 2019-09-10 | 2020-01-10 | 平安普惠企业管理有限公司 | Application server performance monitoring method and device, storage medium and electronic equipment |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102316172B (en) * | 2010-07-05 | 2015-11-25 | 中国电信股份有限公司 | A kind of dns resolution method, system and SAG equipment |
| US8583824B2 (en) * | 2010-12-16 | 2013-11-12 | Microsoft Corporation | Identifying an efficient destination server |
| CN103188270B (en) * | 2013-04-11 | 2015-05-20 | 腾讯科技（深圳）有限公司 | Method, device and system for accessing recommended server to IP address |
| US10097647B2 (en) * | 2014-11-06 | 2018-10-09 | Neustar, Inc. | Method and system for predicting a geographic location of a network entity |
| US20170061286A1 (en) * | 2015-08-27 | 2017-03-02 | Skytree, Inc. | Supervised Learning Based Recommendation System |
| US20190052597A1 (en) * | 2017-08-11 | 2019-02-14 | Salesforce.Com, Inc. | Optimizing choice of networking protocol |
| WO2019210437A1 (en) * | 2018-04-30 | 2019-11-07 | Qualcomm Incorporated | An addressing model and method |
| CN109598576A (en) * | 2018-10-25 | 2019-04-09 | 阿里巴巴集团控股有限公司 | Service recommendation method, device and equipment |
| US11411819B2 (en) * | 2019-01-17 | 2022-08-09 | EMC IP Holding Company LLC | Automatic network configuration in data protection operations |
| CN111274029A (en) * | 2020-01-15 | 2020-06-12 | 北京奇艺世纪科技有限公司 | Cluster scheduling method and device |
-
2020
- 2020-08-20 CN CN202010845880.8A patent/CN112019650B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105871977A (en) * | 2015-11-27 | 2016-08-17 | 乐视体育文化产业发展（北京）有限公司 | Long connection establishment method and system, and devices |
| WO2018064939A1 (en) * | 2016-10-09 | 2018-04-12 | 腾讯科技（深圳）有限公司 | Method for disaster recovery of audio and video communication connection, apparatus and system |
| CN109600245A (en) * | 2017-09-30 | 2019-04-09 | 北京国双科技有限公司 | Server method of automatic configuration and device |
| CN110022378A (en) * | 2019-04-22 | 2019-07-16 | 苏州排忧网络技术有限责任公司 | Vpn server smart allocation method based on state |
| CN110674009A (en) * | 2019-09-10 | 2020-01-10 | 平安普惠企业管理有限公司 | Application server performance monitoring method and device, storage medium and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| TMS地域调度系统设计与实现;庄一嵘;梁丹华;陈戈;周晓燕;;广东通信技术(第05期);7-9 * |
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