CN112436981A - Method and system for measuring network flow by cloud control strategy and multi-protocol implementation - Google Patents
Method and system for measuring network flow by cloud control strategy and multi-protocol implementation Download PDFInfo
- Publication number
- CN112436981A CN112436981A CN202011281290.3A CN202011281290A CN112436981A CN 112436981 A CN112436981 A CN 112436981A CN 202011281290 A CN202011281290 A CN 202011281290A CN 112436981 A CN112436981 A CN 112436981A
- Authority
- CN
- China
- Prior art keywords
- network
- server
- cloud control
- network flow
- application server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/18—Multiprotocol handlers, e.g. single devices capable of handling multiple protocols
Abstract
The invention discloses a method for measuring network downlink flow by a cloud control strategy and a multi-protocol implementation, which comprises the following steps: discovering and maintaining domain names and IP lists for managing different general application servers; downloading the real-time traffic load condition according to a preset region proximity principle, an operator attribution consistency priority principle and a network delay minimum principle, and performing resource optimization on the general application server according to the request quantity of the home intelligent gateway and the intelligent router and the region where the home intelligent gateway and the intelligent router are located; responding to the request for downloading the universal application server list resource and updating by the home intelligent gateway or the intelligent router. The invention also discloses a system for realizing the network flow measurement by the cloud control strategy multi-protocol, which comprises a network flow measurement cloud control server and a network downlink flow measurement module. The invention can more accurately detect the network flow and has lower detection cost.
Description
Technical Field
The invention relates to the field of home intelligent gateways, in particular to a method and a system for measuring network flow by a cloud control strategy and multiple protocols.
Background
In the era of mobile internet, increasingly rich and diversified network applications have higher and higher requirements on network traffic, and especially in application scenarios such as network games and live webcasts, the smaller the network traffic is, the better the user experience is. Operators such as China telecom, China Mobile, China Unicom and the like are constantly striving to improve the quality of network traffic, and by installing related network traffic measuring equipment in places such as a metropolitan area network, an access network and the like, the problems of high network traffic caused by existence and potential are timely found out, and high-quality network bandwidth service is provided for home users. The network flow measuring equipment is installed in a metropolitan area network and an access network, has a certain distance from the network access of a user home environment, at least comprises network communication equipment which is not limited to a community corridor, a community machine room and a parcel machine room, and the network communication equipment comprises a switch and a router. The network traffic is caused by factors related to traffic of all devices in the network channel, forwarding efficiency of data, and the like. The network flow measured by the network flow measuring equipment installed by the operator is small, and the flow of the whole network is small after the network flow is not completely equal to the network access of the user home environment, and the whole network flow refers to the network flow from the user home access point to the access network, the core network and the like from end to end of the whole network. The method realizes the detection of the network flow through network protocols such as HTTP, DNS, ICMP and the like on a home intelligent gateway and an intelligent router by a software method, and is equivalent to the detection of the network protocol in a node closest to a user home.
Disclosure of Invention
Aiming at the problems, the invention provides a method and a system for realizing network flow measurement by a cloud control strategy and multiple protocols.
In order to solve the technical problem, the invention provides a method for measuring network flow by a cloud control strategy multi-protocol implementation, which comprises the following steps:
discovering and maintaining domain names and IP lists for managing different general application servers;
downloading the real-time traffic load condition according to a preset region proximity principle, an operator attribution consistency priority principle and a network delay minimum principle, and performing resource optimization on the general application server according to the request quantity of the home intelligent gateway and the intelligent router and the region where the home intelligent gateway and the intelligent router are located;
responding to the request for downloading the universal application server list resource and updating by the home intelligent gateway or the intelligent router.
The working principle of the technical scheme is as follows: the intelligent router and the intelligent gateway are enabled to carry out network communication to the existing mainstream network application server through network flow measuring modules on the intelligent gateway and the intelligent router in a multi-dimensional mode by utilizing network protocols such as HTTP, DNS and ICMP through a method for developing software modules and based on a cloud server intelligent algorithm, so that the network flow measuring method based on an end-to-end application service layer is realized. The network traffic measurement precision is high, the actual load traffic and the service load of the general application server of the network equipment of the whole channel from the network traffic measurement client program to the general application server are all in great relation, the more the equipment is passed, the more the bandwidth is congested, the larger the server service load is, the larger the traffic detected by the network delay is possibly, and the larger the fluctuation is. The method detects the load of the universal application server of different services in real time in a cloud control server mode, utilizes different services, selects optimal test resources according to the area where the client program is located, reduces possible external influence in the whole network flow measurement process as much as possible in a multi-dimensional mode, and provides an important effect on improving the accuracy of network flow measurement. The method is deployed based on a mode that plug-ins are added to a home intelligent gateway and an intelligent router, and solves the problems of high maintenance cost and the like caused by the fact that network flow measurement servers are deployed in metropolitan area networks, access networks and the like. The method carries out network detection and detection on the real-time working general service server in the current network in a mode of ICMP, HTTP and DNS multiprotocol, thereby truly restoring the real network application scene of the user and having higher flow reference.
In a further technical solution, an application server includes: the number of the application servers is adjusted according to the result of the intelligent algorithm of the network flow measurement.
In the technical solution, the application server may include, but is not limited to, a popular search engine, a web portal, a game server, a video server, a DNS server, and the like, and responds to a network traffic measurement request from a home intelligent gateway, an intelligent router client program, and a cloud control server.
In a further technical scheme, the home intelligent gateway and the intelligent router comprise:
requesting a cloud control server to download and update a universal application server resource list for network traffic measurement;
network flow measurement is carried out on servers in the universal application server resource list according to different types of application server resources;
and performing network flow display on the management pages of the home intelligent gateway and the intelligent router and the corresponding management APP of the tested network flow measurement test result or sending the test result to the cloud control server.
In the technical scheme, a client program for network traffic measurement of the home intelligent gateway and the intelligent router is called the client program for short. The method mainly completes the following functional characteristics of 1) requesting the cloud control server to download and update the universal application server resource list for measuring the network flow. 2) And performing network flow measurement on the servers in the universal application server resource list according to different types of application server resources. 3) The network flow measurement test result of the test is displayed on the management client programs of the home intelligent gateway and the intelligent router, and the test result may also be sent to the cloud control server, the cloud control server externally provides an API interface for displaying other management client programs, and the client programs include but are not limited to WEB, native APP, H5 and the like. The household intelligent gateway and the intelligent router comprise the following functional modules: general application server resource request protocol: the method comprises the steps that a home intelligent gateway and an intelligent router network flow measurement client program request all network requests of a cloud control server to use HTTPS, a data field format adopts a json format, and data encryption uses symmetric encryption. The universal application server resource management maintenance module: and requesting a resource list of the general application server from the cloud control server, and measuring the network flow according to the acquired resource list. Network flow measurement module: according to an application server resource list issued by a cloud control server, network flow measurement packets of DNS, HTTP and ICMP are sent to corresponding application servers according to different protocols supported by the application servers, 300 network flow measurement data packets of a single server and a single protocol are required to be sent, each interval is 100 milliseconds, the maximum flow of a single data packet is 5 seconds, and recording timeout is carried out after 5 seconds. And recording response time logs of the response data packets, and calculating three times of minimum flow, maximum flow and average flow according to the logs. And (3) displaying network flow products: according to network flow measurement messages sent to all the general application servers by the network flow measurement module, three parameters of network minimum flow, maximum flow and average flow of network flow to different servers are calculated, relevant product display is carried out at interaction ends on a home intelligent gateway and an intelligent router, and the interaction ends comprise and are limited to a WEB configuration management page, a native APP management page, an H5 management interface and the like.
In a further technical scheme, an API is provided on the cloud control server for displaying other client programs, and the client program displaying mode comprises WEB, native APP and H5.
In the technical scheme, the cloud control server provides an API (application programming interface) for external application for other management client programs to perform program display, and is mainly responsible for realizing the following software functions: 1) and discovering, maintaining and managing domain names and IP lists of a certain number of different universal application servers, wherein the number of the universal application servers can be adjusted according to the result of an intelligent algorithm for measuring the network flow. 2) And optimizing resources of the universal application server according to the request quantity and the located area of the intelligent gateway and the intelligent router, the principles of area proximity, operator attribution consistency and priority, real-time load flow downloading, lowest response delay and the like, and ensuring that the error of network flow measurement is reduced. 3) Responding to the downloading and updating requests of the home intelligent gateway or the intelligent router to the list resources of the universal application server.
In a further aspect, the generic application servers include a popular search engine, a web portal, a game server, a video server, and a DNS server.
In the technical scheme, the universal application server resource discovery, management and maintenance module comprises: according to different application server resources, the application server resources are maintained according to information such as regions, operator affiliation and the like, parameters such as network flow of the resources are detected in real time, and the resources with the smallest network flow and taking the regions as dimensions are intelligently maintained through an algorithm. Common server resources include, without limitation, DNS server resources, search engine server resources, web portal server resources, video servers, game server resources. The general application server resource sends a log module: responding to the resource downloading and updating requests of the application servers of the network flow measurement client program of the home intelligent gateway and the intelligent router, and issuing a universal application server resource list. And measuring the network request of the client program according to the network flow, recording the client program request and a response log of the server, and forming a statistical curve chart and a pie chart of the flow, the download request quantity and the like of time dimension, region dimension and the like according to the log. The resource issuing response protocol of the general application server comprises the following steps: the cloud control server responds to all network requests of network flow measurement client programs of the home intelligent gateway and the intelligent router, the HTTPS is used, a data field format adopts a json format, and a symmetric encryption algorithm is used for data encryption.
The invention also provides a cloud control strategy multi-protocol implementation network flow measurement system, which comprises a network flow measurement cloud control server and a network downlink flow measurement module:
the network flow measurement cloud control server is used for discovering, maintaining and managing domain names and IP lists of different general application servers; the method is used for downloading the real-time traffic load condition according to the local principle, the operator attribution consistency priority principle and the network delay minimum principle of a preset area, and performing resource optimization on the general application server according to the request quantity of the home intelligent gateway and the intelligent router and the area where the home intelligent gateway and the intelligent router are located; the system is used for responding to a request for downloading the universal application server list resource and updating by the home intelligent gateway or the intelligent router;
and the network downlink flow measuring module is used for requesting to download the corresponding resources according to the application server resource list issued by the cloud control server, the protocols supported by different application servers and the downlink flow of the downloaded resources tested by the network downlink flow measuring server and according to a specific strategy.
In a further technical scheme, the system for realizing the network flow measurement by the cloud control strategy multi-protocol further comprises application servers, wherein the number of the application servers is adjusted according to the result of an intelligent algorithm of the network flow measurement.
In a further technical scheme, the system for realizing the network flow measurement by the cloud control strategy multi-protocol further comprises a home intelligent gateway and an intelligent router; the intelligent gateway and the intelligent router are used for requesting the cloud control server to download and update a universal application server resource list for network flow measurement; the system comprises a server, a network flow measuring module, a flow measuring module and a flow measuring module, wherein the server is used for measuring network flow to servers in a universal application server resource list according to different types of application server resources; and the method is used for displaying the network flow of the tested network flow measurement test result on the management pages of the home intelligent gateway and the intelligent router and the corresponding management APP or sending the detection result to the cloud control server.
In a further technical scheme, a cloud control strategy multiprotocol realizes that an API interface is provided externally on a cloud control server in a network traffic measurement system for displaying other client programs, wherein the client programs include WEB, native APP and H5.
In a further technical scheme, a general application server in a cloud control strategy multiprotocol implementation network flow measurement system comprises a hot search engine, a portal website, a game server, a video server and a DNS server.
The invention has the beneficial effects that:
1. a cloud control server optimizes a network flow measuring mechanism through a cloud control strategy;
2. the network flow measuring mechanism is realized through HTTP, DNS and ICMP.
Drawings
Fig. 1 is a flowchart of a method for implementing network flow measurement by a cloud control policy multi-protocol according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for implementing network flow measurement by using a cloud control policy and multiple protocols according to an embodiment of the present invention.
Description of reference numerals:
10. a network flow measurement cloud control server; 11. and a network downlink flow measuring module.
Detailed Description
The embodiments of the present invention will be further described with reference to the accompanying drawings.
Example (b):
as shown in fig. 1, a method for measuring network traffic by a cloud control policy multi-protocol implementation includes the following steps:
discovering and maintaining domain names and IP lists for managing different general application servers;
downloading the real-time traffic load condition according to a preset region proximity principle, an operator attribution consistency priority principle and a network delay minimum principle, and performing resource optimization on the general application server according to the request quantity of the home intelligent gateway and the intelligent router and the region where the home intelligent gateway and the intelligent router are located;
responding to the request for downloading the universal application server list resource and updating by the home intelligent gateway or the intelligent router.
In the above embodiment, network traffic measurement modules on the home intelligent gateway and the intelligent router are invoked in a multi-dimensional manner based on an intelligent algorithm of a cloud server by using methods for developing software modules on the home intelligent gateway and the intelligent router and using network protocols such as HTTP, DNS, ICMP, and the like, so that the intelligent gateway and the intelligent router perform network communication with an existing mainstream network application server, and a network traffic measurement method based on an end-to-end application service layer is implemented. The network traffic measurement precision is high, the actual load traffic and the service load of the general application server of the network equipment of the whole channel from the network traffic measurement client program to the general application server are all in great relation, the more the equipment is passed, the more the bandwidth is congested, the larger the server service load is, the larger the traffic detected by the network delay is possibly, and the larger the fluctuation is. The method detects the load of the universal application server of different services in real time in a cloud control server mode, utilizes different services, selects optimal test resources according to the area where the client program is located, reduces possible external influence in the whole network flow measurement process as much as possible in a multi-dimensional mode, and provides an important effect on improving the accuracy of network flow measurement. Meanwhile, resource optimization is carried out on the universal application server by the request quantity of the home intelligent gateway and the intelligent router, the attribution of the operator and the region where the operator is located. The method is deployed based on a mode that plug-ins are added to a home intelligent gateway and an intelligent router, and solves the problems of high maintenance cost and the like caused by the fact that network flow measurement servers are deployed in metropolitan area networks, access networks and the like. The method carries out network detection and detection on the real-time working general service server in the current network in a mode of ICMP, HTTP and DNS multiprotocol, thereby truly restoring the real network application scene of the user and having higher flow reference.
In another embodiment, an application server includes: the number of the application servers is adjusted according to the result of the intelligent algorithm of the network flow measurement.
In this embodiment, the application server may include, but is not limited to, a popular search engine, a web portal, a game server, a video server, a DNS server, etc. responding to a network traffic measurement request from a home smart gateway, a smart router client, a cloud server, etc.
In another embodiment, the home intelligent gateway and the intelligent router comprise:
requesting a cloud control server to download and update a universal application server resource list for network traffic measurement;
network flow measurement is carried out on servers in the universal application server resource list according to different types of application server resources;
and performing network flow display on the management pages of the home intelligent gateway and the intelligent router and the corresponding management APP of the tested network flow measurement test result or sending the test result to the cloud control server.
In this embodiment, the home intelligent gateway and the intelligent router network traffic measurement client program are referred to as a client program for short. The method mainly completes the following functional characteristics of 1) requesting the cloud control server to download and update the universal application server resource list for measuring the network flow. 2) And performing network flow measurement on the servers in the universal application server resource list according to different types of application server resources. 3) The network flow measurement test result of the test is displayed on the management page of the home intelligent gateway and the intelligent router and the corresponding management APP, the test result can also be sent to the cloud control server, an API interface is provided on the cloud control server for displaying other client programs, and the client programs include but are not limited to WEB, APP and other modes. The household intelligent gateway and the intelligent router comprise the following functional modules: general application server resource request protocol: the method comprises the steps that a home intelligent gateway and an intelligent router network flow measurement client program request all network requests of a cloud control server to use HTTPS, a data field format adopts a json format, and data encryption uses a symmetric encryption algorithm. The universal application server resource management maintenance module: and requesting a resource list of the general application server from the cloud control server, and measuring the network flow according to the acquired resource list. Network flow measurement module: according to an application server resource list issued by a cloud control server, network flow measurement packets of DNS, HTTP and ICMP are sent to corresponding application servers according to different protocols supported by the application servers, 300 network flow measurement data packets of a single server and a single protocol are required to be sent, each interval is 100 milliseconds, the maximum flow of a single data packet is 5 seconds, and the supermarket is recorded after 5 seconds. And recording response time logs of the response data packets, and calculating three times of minimum flow, maximum flow and average flow according to the logs. And (3) displaying network flow products: according to network flow measurement messages sent to all the general application servers by the network flow measurement module, three parameters of network minimum flow, maximum flow and average flow of network flow to different servers are calculated, relevant product display is carried out at interaction ends on a home intelligent gateway and an intelligent router, and the interaction ends comprise and are limited to a WEB configuration management page, an APP management page, an applet H5 management interface and the like.
In another embodiment, the cloud control server provides an API interface for other client programs to display, where the client programs include WEB, native APP, and H5.
In this embodiment, the cloud control server is mainly responsible for implementing the following software functions: 1) and discovering, maintaining and managing domain names and IP lists of a certain number of different universal application servers, wherein the number of the universal application servers can be adjusted according to the result of an intelligent algorithm for measuring the network flow. 2) And optimizing resources of the general application server according to the principles of the request quantity of the home intelligent gateway and the intelligent router, the area, the local vicinity, the consistent priority of operator attribution, the real-time load condition of download flow, the lowest principle of network delay and the like, and ensuring that the error of network flow measurement is reduced. 3) Responding to the downloading and updating requests of the home intelligent gateway or the intelligent router to the list resources of the universal application server.
In another embodiment, the generic application servers include popular search engines, web portals, game servers, video servers, and DNS servers.
In this embodiment, the general application server resource discovery, management and maintenance module: according to different application server resources, maintaining the application server resources according to regions and operator affiliations, detecting parameters such as network traffic of the resources in real time, and intelligently maintaining the resources with the smallest network traffic by taking the regions and the operator affiliations as dimensions through an algorithm. Common server resources include, without limitation, DNS server resources, search engine server resources, web portal server resources, video servers, game server resources. The general application server resource sends a log module: responding to the resource downloading and updating requests of the application servers of the network flow measurement client program of the home intelligent gateway and the intelligent router, and issuing a universal application server resource list. And measuring the network request of the client program according to the network flow, recording the client program request and a response log of the server, and forming a statistical curve graph, a pie chart, of time dimension, area dimension and the like according to the log. The resource issuing response protocol of the general application server comprises the following steps: the cloud control server responds to all network requests of network flow measurement client programs of the home intelligent gateway and the intelligent router, the HTTPS is used, a data field format adopts a json format, and a symmetric encryption algorithm is used for data encryption.
In another embodiment, as shown in fig. 2, the present embodiment discloses a system for implementing network traffic measurement by a cloud control policy multi-protocol, where the system includes a cloud control server for network traffic measurement and a network downlink traffic measurement module:
the network flow measurement cloud control server is used for discovering, maintaining and managing domain names and IP lists of different general application servers; the method is used for downloading the real-time traffic load condition according to the local principle, the operator attribution consistency priority principle and the network delay minimum principle, and performing resource optimization on the general application server according to the request quantity of the home intelligent gateway and the intelligent router and the information comprehensive intelligent algorithm of the area where the general application server is located; the system is used for responding to a request for downloading the universal application server list resource and updating by the home intelligent gateway or the intelligent router;
and the network downlink flow measuring module is used for requesting to download the corresponding resources according to the application server resource list issued by the cloud control server, the protocols supported by different application servers and the downlink flow of the downloaded resources tested by the network downlink flow measuring server and according to a specific strategy.
In another embodiment, the system for implementing network traffic measurement by using the cloud control strategy and the multi-protocol further comprises application servers, wherein the number of the application servers is adjusted according to the result of an intelligent algorithm for network traffic measurement.
In another embodiment, the system for measuring network flow by using cloud control strategy and multi-protocol implementation further comprises a home intelligent gateway and an intelligent router; the intelligent gateway and the intelligent router are used for requesting the cloud control server to download and update a universal application server resource list for network flow measurement; the system comprises a server, a network flow measuring module, a flow measuring module and a flow measuring module, wherein the server is used for measuring network flow to servers in a universal application server resource list according to different types of application server resources; and the method is used for displaying the network flow of the tested network flow measurement test result on the management pages of the home intelligent gateway and the intelligent router and the corresponding management APP or sending the detection result to the cloud control server.
In another embodiment, a cloud control policy multiprotocol implements that an API interface is externally provided on a cloud control server in a network traffic measurement system for displaying other client programs, where the client programs include WEB, native APP, and H5.
In another embodiment, a cloud control strategy multi-protocol implementation network flow measurement system comprises a popular search engine, a portal website, a game server, a video server and a DNS server.
The above examples only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (10)
1. A method for measuring network flow realized by a cloud control strategy and multiple protocols is characterized by comprising the following steps:
discovering and maintaining domain names and IP lists for managing different general application servers;
downloading the real-time traffic load condition according to a preset region proximity principle, an operator attribution consistency priority principle and a network delay minimum principle, and performing resource optimization on the general application server according to the request quantity of the home intelligent gateway and the intelligent router and the region where the home intelligent gateway and the intelligent router are located;
responding to the request for downloading the universal application server list resource and updating by the home intelligent gateway or the intelligent router.
2. The method for measuring the network traffic according to claim 1, wherein the application server comprises: the number of the application servers can be adjusted according to the result of the intelligent algorithm for detecting the network downlink flow.
3. The method for measuring the network traffic according to the claim 1, wherein the home intelligent gateway and the intelligent router comprise:
requesting a cloud control server to download and update a universal application server resource list for network traffic measurement;
network flow measurement is carried out on servers in the universal application server resource list according to different types of application server resources;
and performing network flow display on the management pages of the home intelligent gateway and the intelligent router and the corresponding management APP of the tested network flow measurement test result or sending the test result to the cloud control server.
4. The method for realizing network traffic measurement according to claim 3, wherein the cloud control server externally provides an API (application programming interface) for displaying other client programs, and the client program display modes include WEB, native APP and H5.
5. The method for cloud policy multi-protocol implementation of network traffic measurement according to claim 1, wherein the general application servers comprise a popular search engine, a web portal, a game server, a video server, and a DNS server.
6. A cloud control strategy multi-protocol implementation network flow measurement system is characterized by comprising a network flow measurement cloud control server and a network downlink flow measurement module:
the network flow measurement cloud control server is used for discovering, maintaining and managing domain names and IP lists of different general application servers; the method is used for downloading the real-time traffic load condition according to the local principle, the operator attribution consistency priority principle and the network delay minimum principle of a preset area, and performing resource optimization on the general application server according to the request quantity of the home intelligent gateway and the intelligent router and the area where the home intelligent gateway and the intelligent router are located; the system is used for responding to a request for downloading the universal application server list resource and updating by the home intelligent gateway or the intelligent router;
and the network downlink flow measuring module is used for requesting to download the corresponding resources according to the application server resource list issued by the cloud control server, the protocols supported by different application servers and the downlink flow of the downloaded resources tested by the network downlink flow measuring server and according to a specific strategy.
7. The system according to claim 6, further comprising application servers, wherein the number of application servers is adjusted according to the result of the intelligent algorithm for network traffic measurement.
8. The cloud control strategy multi-protocol implementation network flow measurement system according to claim 6, further comprising a home intelligent gateway, an intelligent router; the intelligent gateway and the intelligent router are used for requesting the cloud control server to download and update a universal application server resource list for network flow measurement; the system comprises a server, a network flow measuring module, a flow measuring module and a flow measuring module, wherein the server is used for measuring network flow to servers in a universal application server resource list according to different types of application server resources; and the method is used for displaying the network flow of the tested network flow measurement test result on the management pages of the home intelligent gateway and the intelligent router and the corresponding management APP or sending the detection result to the cloud control server.
9. The system for measuring network traffic according to claim 8, wherein the cloud control server externally provides an API interface for other client programs to display, and the client programs display modes include WEB, native APP and H5.
10. The cloud policy multi-protocol implementation network traffic measurement system according to claim 6, wherein the general application servers comprise a popular search engine, a web portal, a game server, a video server, and a DNS server.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011281290.3A CN112436981B (en) | 2020-11-16 | 2020-11-16 | Method and system for measuring network flow by cloud control strategy and multi-protocol implementation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011281290.3A CN112436981B (en) | 2020-11-16 | 2020-11-16 | Method and system for measuring network flow by cloud control strategy and multi-protocol implementation |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112436981A true CN112436981A (en) | 2021-03-02 |
CN112436981B CN112436981B (en) | 2021-10-15 |
Family
ID=74700144
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011281290.3A Active CN112436981B (en) | 2020-11-16 | 2020-11-16 | Method and system for measuring network flow by cloud control strategy and multi-protocol implementation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112436981B (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1665204A (en) * | 2005-03-18 | 2005-09-07 | 清华大学 | Method for real-time measurement of local service quality of computer network |
CN104065761A (en) * | 2011-09-29 | 2014-09-24 | 北京奇虎科技有限公司 | Application server selecting method and network connection method |
US9961574B1 (en) * | 2015-03-02 | 2018-05-01 | Facebook, Inc. | Techniques to identify applications based on network traffic |
CN108777643A (en) * | 2018-06-08 | 2018-11-09 | 武汉思普崚技术有限公司 | A kind of traffic visualization plateform system |
CN109274584A (en) * | 2018-09-28 | 2019-01-25 | 乐蜜有限公司 | Cut-in method, device, client device and the storage medium of access server |
CN109271217A (en) * | 2018-10-23 | 2019-01-25 | 上海携程商务有限公司 | Network flow detection method and system under cloud environment |
CN111800447A (en) * | 2019-09-20 | 2020-10-20 | 厦门雅基软件有限公司 | Server scheduling method and device for cloud game and readable storage medium |
-
2020
- 2020-11-16 CN CN202011281290.3A patent/CN112436981B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1665204A (en) * | 2005-03-18 | 2005-09-07 | 清华大学 | Method for real-time measurement of local service quality of computer network |
CN104065761A (en) * | 2011-09-29 | 2014-09-24 | 北京奇虎科技有限公司 | Application server selecting method and network connection method |
US9961574B1 (en) * | 2015-03-02 | 2018-05-01 | Facebook, Inc. | Techniques to identify applications based on network traffic |
CN108777643A (en) * | 2018-06-08 | 2018-11-09 | 武汉思普崚技术有限公司 | A kind of traffic visualization plateform system |
CN109274584A (en) * | 2018-09-28 | 2019-01-25 | 乐蜜有限公司 | Cut-in method, device, client device and the storage medium of access server |
CN109271217A (en) * | 2018-10-23 | 2019-01-25 | 上海携程商务有限公司 | Network flow detection method and system under cloud environment |
CN111800447A (en) * | 2019-09-20 | 2020-10-20 | 厦门雅基软件有限公司 | Server scheduling method and device for cloud game and readable storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN112436981B (en) | 2021-10-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11399293B2 (en) | System and method of network policy optimization | |
Su et al. | CeMon: A cost-effective flow monitoring system in software defined networks | |
WO2018152919A1 (en) | Path selection method and system, network acceleration node, and network acceleration system | |
CN102014173B (en) | Domain name redirecting control method, module and system | |
CN112913196B (en) | Software-defined wide area network uplink selection with virtual IP addresses for cloud services | |
JP5904908B2 (en) | Communication system and quality control server | |
CN112913197B (en) | Software defined wide area network uplink selection for cloud services | |
JP2009246449A (en) | Control relay program, control relay apparatus and control relay method | |
CN103780714A (en) | Method and apparatus for probing DNS server | |
US20210184940A1 (en) | Prediction of a performance indicator | |
CN114650592A (en) | Wireless network time delay processing method, system and access server | |
WO2019075642A1 (en) | Network path optimization method and system, control server, and network access end | |
Al Azad et al. | Cledge: A hybrid cloud-edge computing framework over information centric networking | |
CN115622931A (en) | Adaptive software defined wide area network application specific probing | |
CN112436981B (en) | Method and system for measuring network flow by cloud control strategy and multi-protocol implementation | |
CN112242937B (en) | Network speed measuring method and device, electronic equipment and computer readable medium | |
CN112422367B (en) | Method and system for realizing network delay detection by cloud control strategy and multi-protocol | |
US9699651B2 (en) | Method and network node for managing device-related data to be distributed to a communication device in a communication network | |
CN111818134B (en) | Mist calculation-based data transmission method and device in substation data center | |
CN106686034B (en) | CDN scheduling enhancement method, device and system | |
EP2917807A1 (en) | Adaptive leveraging of network information | |
CN114024895B (en) | TR 069-based network route optimization method and system | |
CN113225224B (en) | Network speed measuring method, system, storage medium and computer equipment | |
CN105763662A (en) | Method for creating similar network test environments, device and DNS server | |
EP2827557B1 (en) | Automated application metric selection for multi-cost ALTO queries |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |