WO2018121237A1 - Procédé et dispositif de détection de qualité de réseau - Google Patents
Procédé et dispositif de détection de qualité de réseau Download PDFInfo
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Definitions
- the present invention relates to the field of communications, and in particular, to a network quality detecting method and apparatus.
- CDN content distribution network
- an embodiment of the present invention provides a network quality detecting method and apparatus.
- the embodiment of the invention provides a network quality detection method, which is applied to a server, and the method includes:
- the detecting task is used to instruct the collecting device to collect the parameter set of the first network, the parameter set characterizing the transmission parameter of the first network;
- the first network is an end-to-end network;
- the network quality of the first network is analyzed by using the parameter set to obtain a network quality detection result of the first network.
- the collecting device is a terminal, and the receiving the parameter set collected by the collecting device includes:
- the terminal Receiving, by the terminal, a first parameter and a second parameter; the first parameter characterizing an end-to-end signaling response delay in the first network; and the second parameter characterizing an end-to-end data packet in the first network a transmission delay; wherein the signaling response delay is obtained according to a Real Time Streaming Protocol (RTSP) delay and a traceroute delay;
- RTSP Real Time Streaming Protocol
- the method further includes:
- the first parameter collected by the terminal for each routing path is aggregated and analyzed by using the IP address as a dimension, and at least two routing paths are determined.
- the method further includes:
- the time-sharing dynamic baseline model is established according to the first parameter and the second parameter collected in the preset time period of the terminal; the model represents a network with different service time.
- the collecting device includes a first CDN node, a second CDN node, and a terminal; a network between the first CDN node and the terminal is a first network; and a second CDN node is a superior node of the first CDN node;
- Receiving the parameter set collected by the collection device including:
- the analyzing the third parameter, the fourth parameter, the fifth parameter, and the sixth parameter to obtain the network quality detection result of the first network including:
- the network quality detection result of the first network is obtained.
- sending a detection task includes:
- the detection task is sent.
- the embodiment of the invention further provides a network quality detecting method, which is applied to a terminal, and the method includes:
- the detecting task is used to instruct the terminal to collect the parameter set of the first network, the parameter set characterizing the transmission parameter of the first network; and the first network is the end-to-end where the terminal is located The internet;
- the detecting task collecting a first parameter and a second parameter; the first parameter characterizing an end-to-end signaling response delay in the first network; and the second parameter characterizing the first network end to The data packet transmission delay of the terminal; wherein the signaling response delay is obtained according to the RTSP delay and the traceroute delay;
- the first parameter and the second parameter are issued.
- the collecting the first parameter includes:
- the first CDN node is the peer end of the terminal
- the first parameter is obtained using RTSP delay and traceroute delay.
- the using the RTSP delay and the traceroute delay to obtain the first parameter including:
- the RTSP delay is delayed from the traceroute delay to obtain the first parameter.
- the collecting the second parameter includes:
- the time delay of collecting the IP packet of the first CDN node to the terminal is obtained, and the second parameter is obtained.
- the embodiment of the invention further provides a network quality detection method, which is applied to an acquisition device, and the method includes:
- the detecting task is used to instruct the collecting device to collect a parameter set of the first network, and the parameter set is used to represent a transmission parameter of the first network;
- the collecting the service quality indicator of the corresponding link includes:
- the captured data packet is analyzed to obtain a service quality indicator of the corresponding link.
- the capturing the data packet by using the IP address and the port includes:
- the packet is captured at the inbound direction of the terminal;
- the first network is an end-to-end network where the terminal is located; the obtained quality of service indicator is The sixth parameter.
- the collecting device is the first CDN node
- the capturing the data packet by using the IP address and the port includes:
- the network between the first CDN node and the terminal is the first network, and the obtained quality of service indicator is the fourth parameter and the fifth parameter; the fifth parameter and the sixth parameter are used to represent the quality of service indicator of the first CDN node facing the terminal link.
- the collecting device is a second CDN node
- the capturing the data packet by using the IP address and the port includes:
- the packet is fetched in the outbound direction of the second CDN node
- the second CDN node is a superior node of the first CDN node, and the obtained quality of service indicator is a third parameter; the third parameter and the fourth parameter represent a quality of service indicator of the second CDN node facing the first CDN node link.
- the embodiment of the invention further provides a network quality detecting device, comprising:
- the first sending unit is configured to send a detection task, where the detecting task is used to instruct the collecting device to collect the parameter set of the first network, and the parameter set is used to represent the transmission parameter of the first network; End-to-end network;
- a first receiving unit configured to receive a parameter set collected by the collecting device
- the analyzing unit is configured to analyze the network quality of the first network by using the parameter set to obtain a network quality detection result of the first network.
- the first receiving unit is configured to:
- the terminal Receiving, by the terminal, a first parameter and a second parameter; the first parameter characterizing an end-to-end signaling response delay in the first network; and the second parameter characterizing an end-to-end data packet in the first network a transmission delay; wherein the signaling response delay is obtained according to a real-time streaming protocol RTSP delay and a route tracking traceroute delay;
- the analyzing unit is configured to analyze the first parameter and the second parameter to obtain a network quality detection result of the first network.
- the analyzing unit is further configured to:
- the first parameter collected by the terminal for each routing path is performed by using the IP address as a dimension. Convergence and analysis to determine the routing point with the largest and smallest transmission delay in at least two routing paths;
- the analyzing unit is further configured to:
- the time-sharing dynamic baseline model is established according to the first parameter and the second parameter collected in the preset time period of the terminal; the model represents a network with different service time.
- the collecting device includes a first CDN node, a second CDN node, and a terminal; a network between the first CDN node and the terminal is a first network; and a second CDN node is a superior node of the first CDN node;
- the first receiving unit is set to:
- the analyzing unit is configured to: analyze the third parameter, the fourth parameter, the fifth parameter, and the sixth parameter to obtain a network quality detection result of the first network.
- the embodiment of the invention further provides a network quality detecting device, comprising:
- a second receiving unit configured to receive a detection task, where the detecting task is used to instruct the terminal to collect a parameter set of the first network, the parameter set characterizing a transmission parameter of the first network, where the first network is The end-to-end network where the terminal is located;
- the first collecting unit is configured to: collect the first parameter and the second parameter in response to the detecting task; the first parameter represents an end-to-end signaling response delay in the first network; and the second parameter representation An end-to-end packet transmission delay in the first network; wherein the signaling response delay is obtained according to an RTSP delay and a traceroute delay;
- the second sending unit is configured to issue the first parameter and the second parameter.
- the first collection unit is configured to:
- the first CDN node is the peer end of the terminal
- the first parameter is obtained using RTSP delay and traceroute delay.
- the first collection unit is configured to:
- the time delay of collecting the IP packet of the first CDN node to the terminal is obtained, and the second parameter is obtained.
- the embodiment of the invention further provides a network quality detecting device, comprising:
- a third receiving unit configured to receive a detection task, where the detecting task is used to instruct the collecting device to collect a parameter set of the first network, and the parameter set represents a transmission parameter of the first network;
- the second collecting unit is configured to: in response to the detecting task, collect a service quality indicator of the corresponding link according to the location of the first network and the end-to-end network service link direction;
- the third sending unit is configured to issue the collected quality of service indicator.
- the second collection unit is configured to:
- the captured data packet is analyzed to obtain a service quality indicator of the corresponding link.
- the embodiment of the present invention further provides a storage medium, where the storage medium includes a stored program, wherein the program is executed to perform the method described in any one of the above.
- the embodiment of the present invention further provides a processor, the processor is configured to run a program, wherein the program is executed to perform the method described in any one of the above.
- the network quality detection method and device provided by the embodiment of the present invention sends a detection task, where the detection task is used to instruct the collection device to collect a parameter set of the first network, and the parameter set characterizes the transmission parameter of the first network;
- the first network is an end-to-end network; receiving a parameter set collected by the collection device; using the parameter set, analyzing network quality of the first network, and obtaining network quality detection result of the first network
- the network segmentation is detected, so that the network quality can be detected accurately and quickly.
- FIG. 1 is a schematic flowchart of a method for network quality detection according to an embodiment of the present invention
- FIG. 2 is a schematic flowchart of another method for network quality detection according to Embodiment 1 of the present invention.
- FIG. 3 is a schematic flowchart of a method for network quality detection according to an embodiment of the present invention.
- FIG. 4 is a schematic structural diagram of a network quality detecting apparatus according to Embodiment 2 of the present invention.
- FIG. 5 is a schematic structural diagram of another network quality detecting apparatus according to Embodiment 2 of the present invention.
- FIG. 6 is a schematic structural diagram of another network quality detecting apparatus according to Embodiment 2 of the present invention.
- FIG. 7 is a schematic structural diagram of a third embodiment of the present invention.
- FIG. 8 is a schematic diagram of a process for collecting request routing information and delay of an access network from a terminal to a CDN system according to Embodiment 3 of the present invention.
- FIG. 9 is a schematic flowchart of a method for detecting and analyzing a transmission delay of a CDN system to a terminal according to Embodiment 3 of the present invention.
- FIG. 10 is a schematic diagram of a process for collecting a QoS service link quality indicator of a CDN system to a terminal according to Embodiment 3 of the present invention
- FIG. 11 is a schematic diagram of a third unicast service link according to an embodiment of the present invention.
- the first way is to calculate and calculate the service quality of the CDN and the access network based on the reported terminal indicators.
- This method starts from the statistics and summary results of the data, and gives the possibility.
- the processing method has certain defects: First, it needs to be based on the large-scale set-top box data volume analysis. This is because the larger the data volume of the set-top box, the analysis result. The higher the reliability is. Secondly, since the analyzed data is only the data of the set-top box itself and does not involve the data of the network, when there are many reasons for the possibility, the more difficult the user analysis is, the accurate positioning cannot be performed.
- the second way is to capture packets on the intermediate transmission network and then perform code stream matching analysis to obtain the quality of service.
- the current measurement methods have certain defects: some measurement methods have poor accuracy, and some measurement methods are difficult to implement and have poor flexibility.
- the following solution is adopted: sending a detection task, the detecting task is used to instruct the collecting device to collect the parameter set of the first network, and the parameter set characterizes the first a transmission parameter of the network; the first network is an end-to-end network; receiving a parameter set collected by the collection device; using the parameter set, analyzing network quality of the first network, obtaining the first network Network quality test results.
- the embodiment of the invention provides a network quality detection method, which is applied to a server. As shown in FIG. 1 , the method includes:
- Step 101 Send a detection task.
- the detecting task is used to instruct the collecting device to collect the parameter set of the first network, the parameter set characterizing the transmission parameter of the first network; and the first network is an end-to-end network.
- the actual network may be a CDN node-to-terminal video service network.
- Step 102 Receive a parameter set collected by the collection device.
- Step 103 Analyze the network quality of the first network by using the parameter set, and obtain a network quality detection result of the first network.
- one form of network quality is interactive delay (transmission delay), so the interactive delay of the network needs to be collected in stages to analyze the network quality.
- step 102 when the collecting device is a terminal, the specific implementation of step 102 includes:
- the server receives the first parameter and the second parameter sent by the terminal; the first parameter represents an end-to-end signaling response delay in the first network; and the second parameter represents a middle end of the first network
- step 103 the server analyzes the first parameter and the second parameter to obtain a network quality detection result of the first network.
- the routing path may also be presented based on the collected parameter set.
- the method may further include:
- the server uses the IP address as a dimension to aggregate and analyze the first parameters collected by the terminal for each routing path, and determine at least two routes.
- the server may establish a time-sharing dynamic baseline model according to the first parameter and the second parameter collected in the preset time period of the terminal; Network segmentation quality of service time;
- network quality Another form of network quality is the transmission quality of the code stream (network service path quality), so the transmission quality of the network needs to be collected in stages to analyze the network quality.
- the collecting device includes a first CDN node, a second CDN node, and a terminal; a network between the first CDN node and the terminal is a first network; and a second CDN node is a first CDN node.
- the superior node; the specific implementation of step 102 may include:
- the server receives the fourth parameter and the fifth parameter sent by the first CDN node;
- the server receives the sixth parameter sent by the terminal; the third parameter and the fourth parameter represent a quality of service indicator of the second CDN node facing the first CDN node link; and the fifth parameter and the sixth parameter represent the first CDN node oriented terminal chain Road quality of service indicators.
- step 103 the server analyzes the third parameter, the fourth parameter, the fifth parameter, and the sixth parameter to obtain a network quality detection result of the first network.
- the analyzing the third parameter, the fourth parameter, the fifth parameter, and the sixth parameter to obtain a network quality detection result of the first network including:
- the network quality detection result of the first network is obtained.
- the detection task can be triggered according to the playback record of the terminal.
- step 101 includes:
- the server sends a detection task.
- the collection device needs to collect corresponding parameters.
- the embodiment of the present invention further provides a network quality detecting method, which is applied to a terminal, as shown in FIG. 2, the method includes:
- Step 201 Receive a detection task.
- the detecting task is used to instruct the terminal to collect the parameter set of the first network, and the parameter set represents the transmission parameter of the first network;
- the first network is an end-to-end network where the terminal is located.
- Step 202 responsive to the detecting task, collecting the first parameter and the second parameter;
- the first parameter represents an end-to-end signaling response delay in the first network
- the second parameter represents an end-to-end packet transmission delay in the first network
- the signaling response delay is obtained according to the RTSP delay and the traceroute delay.
- the collecting the first parameter includes:
- the first CDN node is the peer end of the terminal
- the first parameter is obtained using RTSP delay and traceroute delay.
- the using the RTSP delay and the traceroute delay to obtain the first parameter including:
- the RTSP delay is delayed from the traceroute delay to obtain the first parameter.
- the collecting the second parameter includes:
- the time delay of collecting the IP packet of the first CDN node to the terminal is obtained, and the second parameter is obtained.
- Step 203 Issue the first parameter and the second parameter.
- the embodiment of the invention further provides a network quality detecting method, which is applied to the collecting device. As shown in FIG. 3, the method further includes:
- Step 301 Receive a detection task.
- the detecting task is used to instruct the collecting device to collect a parameter set of the first network, and the parameter set represents a transmission parameter of the first network.
- Step 302 In response to the detecting task, collecting a service quality indicator of the corresponding link according to the location of the first network and the end-to-end network service link direction;
- the captured data packet is analyzed to obtain a service quality indicator of the corresponding link.
- the collecting device is a terminal
- the capturing the data packet by using the IP address and the port includes:
- the packet is captured at the inbound direction of the terminal;
- the first network is an end-to-end network where the terminal is located; the obtained quality of service indicator is a sixth parameter.
- the extracting the data packet by using the IP address and the port includes:
- the network between the first CDN node and the terminal is the first network; the obtained quality of service indicators are the fourth parameter and the fifth parameter.
- the extracting the data packet by using the IP address and the port includes:
- the packet is fetched in the outbound direction of the second CDN node
- the second CDN node is a superior node of the first CDN node; the obtained quality of service indicator is a third parameter.
- the second CDN node is a dependent node of the first CDN node.
- the fifth parameter and the sixth parameter represent a quality of service indicator of the first CDN node facing the terminal link; the third parameter and the fourth parameter represent a quality of service indicator of the second CDN node facing the first CDN node link.
- Step 303 Issue the collected quality of service indicator.
- the network quality detection method provided by the embodiment of the present invention sends a detection task, where the detection task is used to instruct the collection device to collect a parameter set of the first network, and the parameter set represents a transmission parameter of the first network;
- the first network is an end-to-end network; receiving the collection device to collect Using the parameter set, analyzing the network quality of the first network, obtaining the network quality detection result of the first network, and detecting the network segmentation, so that the network quality can be detected accurately and quickly .
- receiving a third parameter sent by the second CDN node receiving a fourth parameter and a fifth parameter sent by the first CDN node, and receiving a sixth parameter sent by the terminal; the third parameter and the fourth parameter characterizing the second CDN node a quality of service indicator for the first CDN node link; the fifth parameter and the sixth parameter represent a quality of service indicator of the first CDN node for the terminal link; and correspondingly, the third parameter, the fourth parameter, and the fifth parameter And the sixth skill is analyzed to obtain the network quality detection result of the first network, and the service link segment is detected, so that the end-to-end network service path quality can be correctly and quickly detected.
- the embodiment provides a network quality detecting apparatus, which is disposed in a server.
- the apparatus includes:
- the first sending unit 41 is configured to send a detection task, where the detecting task is used to instruct the collecting device to collect the parameter set of the first network, the parameter set characterizing the transmission parameter of the first network, and the first network For end-to-end networks;
- the first receiving unit 42 is configured to receive a parameter set collected by the collecting device
- the analyzing unit 43 is configured to analyze the network quality of the first network by using the parameter set to obtain a network quality detection result of the first network.
- the actual network may be a CDN node-to-terminal video service network.
- one form of network quality is interactive delay (transmission delay), so the interactive delay of the network needs to be collected in stages to analyze the network quality.
- the first receiving unit 42 is configured to:
- the collecting device When the collecting device is a terminal, receiving the first parameter and the second parameter sent by the terminal; Determining, by the first parameter, an end-to-end signaling response delay in the first network; the second parameter characterizing an end-to-end data packet transmission delay in the first network; wherein the signaling response delay Obtained according to RTSP delay and traceroute delay;
- the analyzing unit 43 is configured to analyze the first parameter and the second parameter to obtain a network quality detection result of the first network.
- the routing path may also be presented based on the collected parameter set, and the analyzing unit 43 is further configured to:
- the first parameter collected by the terminal for each routing path is performed by using the IP address as a dimension. Convergence and analysis to determine the routing point with the largest and smallest transmission delay in at least two routing paths;
- the analyzing unit 43 may establish a time-sharing dynamic baseline model according to the first parameter and the second parameter collected in the preset time period of the terminal;
- the model reflects the quality of network segmentation for different service times;
- network quality Another form of network quality is the transmission quality of the code stream (network service path quality), so the transmission quality of the network needs to be collected in stages to analyze the network quality.
- the collecting device includes a first CDN node, a second CDN node, and a terminal; a network between the first CDN node and the terminal is a first network; and a second CDN node is a first CDN node.
- the upper node is set; the first receiving unit 42 is set to:
- the server receives the fourth parameter and the fifth parameter sent by the first CDN node;
- the server receives the sixth parameter sent by the terminal; the third parameter and the fourth parameter represent a quality of service indicator of the second CDN node facing the first CDN node link; and the fifth parameter and the sixth parameter represent the first CDN node oriented terminal chain Road quality of service indicators;
- the analyzing unit 43 is configured to analyze the third parameter, the fourth parameter, the fifth parameter, and the sixth parameter to obtain a network quality detection result of the first network.
- the analyzing the third parameter, the fourth parameter, the fifth parameter, and the sixth parameter to obtain a network quality detection result of the first network including:
- the analyzing unit 43 uses the third parameter, the fourth parameter, the fifth parameter, and the sixth parameter, and combines the set threshold and the historical trend of the network service link to obtain the network quality detection result of the first network.
- the detection task can be triggered according to the playback record of the terminal.
- the first transmitting unit 41 transmits the detection task.
- the first sending unit 41 and the first receiving unit 42 may be implemented by a processor in the network quality detecting device in combination with the transceiver; the analyzing unit 43 may be implemented by a processor in the network quality detecting device.
- the embodiment further provides a network quality detecting device, which is disposed in the terminal.
- the device includes:
- the second receiving unit 51 is configured to receive a detection task, where the detection task is used to instruct the terminal to collect the parameter set of the first network, and the parameter set represents the transmission parameter of the first network;
- the first collecting unit 52 is configured to collect the first parameter and the second parameter in response to the detecting task
- the first parameter characterizes an end-to-end signaling response delay in the first network
- the second parameter characterizes an end-to-end data packet transmission delay in the first network
- the signaling The response delay is obtained based on the RTSP delay and the traceroute delay
- the second sending unit 53 is configured to issue the first parameter and the second parameter.
- the first collecting unit 52 is configured to:
- the first CDN node is the peer end of the terminal
- the first parameter is obtained using RTSP delay and traceroute delay.
- the using the RTSP delay and the traceroute delay to obtain the first parameter including:
- the first collecting unit 52 compares the RTSP delay with the traceroute delay to obtain the first parameter.
- the first collecting unit 52 is configured to:
- the time delay of collecting the IP packet of the first CDN node to the terminal is obtained, and the second parameter is obtained.
- the second receiving unit 51 and the second transmitting unit 53 may be implemented by a transceiver in the network quality detecting device; the first collecting unit 52 may be implemented by a processor in the network quality detecting device in combination with the transceiver.
- the embodiment further provides a network quality detecting device, which is disposed in the collecting device. As shown in FIG. 6, the device includes:
- the third receiving unit 61 is configured to receive a detection task, where the detecting task is used to instruct the collecting device to collect a parameter set of the first network, and the parameter set represents a transmission parameter of the first network;
- the second collecting unit 62 is configured to, according to the detecting task, collect the service quality indicator of the corresponding link according to the location of the first network and the end-to-end network service link direction;
- the third sending unit 63 is configured to issue the collected quality of service indicator.
- the second collection unit is configured to:
- the captured data packet is analyzed to obtain a service quality indicator of the corresponding link.
- the capturing the data packet by using the IP address and the port includes:
- the second collecting unit 62 uses the IP address and the port to capture the data packet at the inbound direction of the terminal;
- the first network is an end-to-end network where the terminal is located; the obtained quality of service indicator is a sixth parameter.
- the extracting the data packet by using the IP address and the port includes:
- the second collecting unit 62 uses the IP address and the port to capture data packets in the inbound and outbound directions of the first CDN node;
- the network between the first CDN node and the terminal is the first network; the obtained quality of service indicators are the fourth parameter and the fifth parameter.
- the extracting the data packet by using the IP address and the port includes:
- the second collecting unit 62 uses the IP address and the port to capture the data packet in the outbound direction of the second CDN node;
- the second CDN node is a superior node of the first CDN node; the obtained quality of service indicator is a third parameter.
- the second CDN node is a dependent node of the first CDN node.
- the fifth parameter and the sixth parameter represent a quality of service indicator of the first CDN node facing the terminal link; the third parameter and the fourth parameter represent a quality of service indicator of the second CDN node facing the first CDN node link.
- the third receiving unit 61 and the third transmitting unit 63 may be implemented by a transceiver in the network quality detecting device; the second collecting unit 62 may be implemented by a processor in the network quality detecting device.
- the embodiment further provides a storage medium, which includes a stored program, wherein the program described above executes the method described in the first embodiment.
- the foregoing storage medium may include, but is not limited to, a USB flash drive, a Read-Only Memory (ROM), and a Random Access Memory (RAM).
- ROM Read-Only Memory
- RAM Random Access Memory
- the embodiment further provides a processor configured to run a program, wherein the program is executed to perform the steps in the method of the first embodiment.
- this embodiment describes the network quality detection process in detail.
- the end-to-end network is a CDN node-to-terminal network.
- the network elements and devices involved include: a CDN node, a bearer network, an access network, and a terminal device.
- a CDN node a bearer network
- an access network a terminal device.
- two To establish a video network service quality indicator system from the CDN system to the terminal specifically, from the two aspects of code stream transmission and interaction delay and detecting network service quality.
- the interaction delay refers to: the transmission delay of the CDN system to the terminal;
- the code stream transmission refers to: the code stream transmission CDN
- FIG. 7 is a schematic diagram of a system architecture of the embodiment.
- the core component consists of eight parts: system task management module, data sending and receiving module, data analysis module, bearer data scrubbing module, access network data acquisition module, CDN node. Data acquisition module and terminal data acquisition module. among them,
- the system task management module, the data sending and receiving module, and the data analysis module are deployed on the server, that is, deployed locally, and the bearer network data access module, the access network data access module, the CDN node data acquisition module, and the terminal data acquisition module Remote deployment.
- the system task management module is responsible for managing and scheduling the collection tasks of each data collection module; that is, the management system and the task management and task synchronization of each data acquisition module;
- the data sending and receiving module is configured to send the collecting task, receive the data collected by each data collecting module, and parse the received collected data, so that the data analyzing module performs analysis;
- the data analysis module mainly analyzes the network quality based on the data collected by each data acquisition module
- the data collection module of the bearer network is mainly configured to collect resources of the bearer network, including resource groupings, routing information, etc., according to which the topology structure of the bearer network can be obtained;
- the access network data collection module is mainly configured to collect resources of the access network, including resource groupings, routing information, etc., according to which the topology structure of the access network can be obtained.
- the task delivery and data reporting can be performed by using http+json (the format of the collected data is reported as json format), and the synchronization message interface can be used for starting and stopping the collection task, and the reporting of the collected data is performed. It can be handled using an asynchronous message interface.
- the following describes the transmission delay detection and analysis method of the CDN system to the terminal.
- the process mainly includes:
- Step 801 The system task management module sends a delay analysis task to the terminal.
- Step 802 After receiving the task, the terminal data collection module of the terminal initiates an RTSP request to the CDN system, and collects a delay of the RTSP response.
- the delay of the collected RTSP response may be referred to as an RTSP delay, which may be considered as a type of protocol signaling information.
- Step 803 The terminal data collection module initiates a traceroute request to the CDN system, and collects traceroute routing information and a corresponding delay.
- the collected traceroute routing information includes information such as a gateway jump.
- Step 804 The end data collection module initiates an IP packet transmission delay analysis task, specifically, records an IP packet delay from the CDN node to the terminal.
- the collected data results are reported to the data analysis module through the data sending and receiving module to analyze the data.
- the process of collecting request routing information and delay of the access network to the access network of the CDN system first, the terminal data collection module initiates a test request and performs basic data collection; and then, based on the acquisition basis Data, analysis of RTSP delay, traceroute routing delay, and IP packet delay from the CDN node to the terminal, and finally reporting the delay analysis result to the data analysis module.
- the data analysis module After obtaining the RTSP delay, the traceroute routing delay, and the IP packet delay of the CDN node to the terminal, the data analysis module analyzes these parameters and analyzes the network quality of the network from the CDN system to the terminal. Test results.
- the data analysis module calculates a signaling response of the CDN system (a request response of the CDN node to the terminal) according to the traceroute routing delay and the RTSP delay, and calculates the CDN node to the terminal by using the delay of the IP packet. Packet transmission delay.
- the packet transmission delay of the CDN node to the terminal Transmission Control Protocol (TCP) chaining delay + IP packet transmission delay;
- TCP Transmission Control Protocol
- Signaling response delay of the CDN system RTSP delay - total delay of the traceroute route.
- the signaling response delay of the CDN system when the signaling response delay of the CDN system exhibits a deteriorating trend (by setting the threshold and the horizontal time comparison, it can be known whether the signaling response delay of the CDN system exhibits a deteriorating trend. ), whether the analysis is due to the impact of the CDN system itself or the intermediate network, when the RTSP delay is deteriorating (by setting the threshold and the lateral time comparison, it can be known whether the RTSP delay shows a deteriorating trend), indicating the CDN system
- the self load is so high that the response to the terminal may increase the response time or timeout.
- the RTSP delay is normal, it is the reason of the intermediate network. You can use the route information of each hop in the traceroute route and the delay of each hop. By setting the threshold and the horizontal time comparison, you can know which route is used. An exception has occurred in the path.
- the packet transmission delay when the packet transmission delay is degraded ((through the set threshold and the lateral time comparison, it can be known whether the packet transmission delay shows a deteriorating trend)), it indicates that the CDN node itself is normal and the intermediate transmission network is not stable.
- the transmission delay detection and analysis method for the CDN system to the terminal mainly includes:
- the terminal CDN node sends an RSTP request, collects the RTSP delay, counts the traceroute routing information of the terminal to the CDN system, and the corresponding delay, and counts the packet transmission delay of the CDN node to the terminal (step 901);
- the obtained RTSP delay, the packet transmission delay, and the traceroute routing delay are compared with the threshold and the lateral time (step 902);
- the data analysis module can also provide various levels of routing services from the CDN system to the intermediate network of the terminal.
- the system task management module initiates a batch of the delay collection process as shown in FIG. 8 to record the time delay of the corresponding traceroute routing information of each service path, and the RTSP.
- the data analysis module can obtain the CDN system-to-terminal network topology according to the data collected by the data acquisition module of the bearer network, the data collected by the data acquisition module of the access network, and the routing gateway information of each hop in the traceroute routing information.
- Path information using IP address as the dimension for aggregation analysis, comparing the routing service between the CDN system and the terminal, counting the routing information of the optimal service path and the worst service path, and statistically analyzing the long-period data to analyze the mutation And provide discretionary and degraded trends to provide rectification of network service quality to provide reference recommendations for network tuning.
- the multi-network path uses the IP address as the dimension.
- the traceroute route delay and the RTSP delay are used to attribute the delay convergence to find the route point with the largest transmission delay to reflect the route quality.
- the multi-network path aggregates the transmission delays (data packet transmission delays) between the routes, finds the maximum delay network segment transmitted between the routes, and reflects the quality of the network segments between the routes;
- a time-sharing dynamic baseline model is established, which reflects the network segmentation quality at different service times, and the delay distribution law of memory and learning.
- the threshold is set according to the mean square error, and the network is selected. Discrete problem points and time when anomalies occur.
- the following describes the code stream transmission quality (network service path quality) detection and analysis method from the CDN system to the terminal.
- the embodiment of the invention provides a network quality monitoring mode for a unicast service link from a CDN system to a terminal.
- the modules involved in the process mainly include: a system task management module, a terminal data collection module, and a CDN node data acquisition module.
- the process mainly includes:
- the system task management module sends a video metrics collection task to the terminal, and the terminal data collection module of the terminal obtains the media IP address and port of the current service code stream in real time, and reports the system task management module end record;
- the terminal obtains an IP address and a port from the RTSP message, and reports the result to the system task management module.
- the IP address obtained by the system task management module starts the first CDN node (the service node) to send an RTSP request to the second CDN node (the dependent node of the first CDN node), and establishes a code stream service connection;
- the system task management module sends a network quality analysis task to the terminal, the first CDN node, and the second node.
- the terminal data collection module of the terminal collects the network quality indicator of the terminal incoming on the service link
- the CDN node data acquisition module (CDN1 node data acquisition module) of the first CDN node collects the outgoing direction of the first CDN node on the service link.
- the incoming network quality indicator, the CDN node of the second CDN node (CDN2 node data acquisition module) data collection module collects the network quality indicator of the second CDN node on the service link.
- the network quality indicators collected by the terminal and the CDN node are implemented based on tcpdump, and only need to obtain the corresponding tcpdump parameter, but the direction of collection by each device is not the same.
- the service link can be divided into: a service link 111 between CDN nodes and a service link 112 between the CDN node and the terminal.
- the collection of the service link network quality indicators between the CDN nodes includes: the second CDN node uses the IP address and the port as the outbound tcpdump input parameters of the local node, and obtains the outgoing network quality indicator by means of tcpdump packet capture; And the first CDN node, with IP address and end The port acts as the inbound tcpdump of the node, and obtains the incoming network quality indicator by means of tcpdump packet capture; integrates the network quality indicators obtained by the first CDN node and the second CDN node to obtain the service between the CDN nodes. Link network quality indicator.
- the collection of the service link network quality indicators between the CDN node and the terminal includes: the first CDN node, using the IP address and the port as the outbound tcpdump of the local node, and obtaining the outgoing network quality by means of tcpdump packet capture.
- Indicator The terminal uses the IP address and port as the inbound tcpdump of the node, obtains the incoming network quality indicator by means of tcpdump packet capture, integrates the network quality indicators obtained by the first CDN node and the terminal, and obtains the CDN. Service link network quality indicator between the node and the terminal.
- the network quality indicator may include parameters such as network throughput, packet loss, jitter, retransmission, and link length.
- Network quality indicators can be referred to as TCP class information.
- the data analysis module analyzes the network quality indicators collected by each device in real time, and compares the network quality indicators in real time to analyze the degradation trend and location of the code stream network quality.
- the data analysis module compares the historical quality trends of the network service quality of the single user service by analyzing the network quality indicators collected in real time, thereby analyzing the deterioration situation and the deterioration position. Specifically, the collected network quality indicators (TCP link time, network throughput, packet loss, jitter, retransmission, etc.) are compared for multi-dimensional data.
- Application scenario 1 The terminal starts to play the scene.
- Transport layer TCP build time is short, and TCP retransmission rate is very low.
- Application scenario 2 The terminal plays the scene normally.
- the client downloads at a constant speed and the network quality indicators are as follows:
- Transport layer TCP build time is short, TCP retransmission rate is very low, packet loss rate is low, and the originating and receiving end code streams are basically the same.
- the network quality indicators are as follows due to network packet loss:
- Transport layer high packet loss rate, large difference in transmission and reception rate, TCP link time fluctuates, TCP retransmission rate is high, irregular fluctuation, and jitter.
- Application scenario 4 insufficient network speed or speed limit scenario
- the network quality indicators are as follows:
- Transport layer TCP build time is relatively stable, TCP retransmission rate is not high and stable, and the download rate is low.
- Application scenario 5 Server performance shortage scenario of CDN node
- the network quality indicators are as follows:
- Transport layer TCP build time is short, TCP retransmission rate is not high, packet loss rate is low, and RSTP delay abnormal fluctuation is sometimes high.
- the terminal data acquisition module of the intelligent task box of the system task management module and the CDN node data acquisition module of the CDN node initiates an active diagnosis process of the single channel code stream service, and
- the diagnostic results are provided by the data analysis module to provide a one-click detection and problem location mechanism for network quality of service.
- the terminal in the unicast service link network quality monitoring mode of the CDN system to the terminal, the terminal initiates RSTP signaling for a single video in real time to request the delivery of the code stream, and the serving CDN node initiates RSTP to the dependent CDN node.
- the signaling request forms a real-time unicast service link, and the packet quality analysis is performed on the service link to obtain the service quality indicator of the inbound and outbound directions of the CDN node and the service quality indicator of the terminal, and the link is on the link.
- the service quality indicator items of the video network transmission are subjected to horizontal comparative analysis to judge the deterioration position of the network service quality.
- the solution provided by the embodiment of the present invention detects the network segmentation, so that the video network quality of the CDN to the terminal can be detected more quickly and accurately.
- the solution provided by the embodiment of the present invention can also detect the service link segment, so that the end-to-end network service path quality can be correctly and quickly detected.
- embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention can take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.
- the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
- the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
- These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
- the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.
- the network quality detection method and device provided by the embodiment of the present invention sends a detection task, where the detection task is used to instruct the collection device to acquire a parameter set of the first network, and the parameter set is characterized. a transmission parameter of the first network; the first network is an end-to-end network; receiving a parameter set collected by the collection device; using the parameter set, analyzing network quality of the first network, obtaining a
- the network quality detection result of the first network is used to detect the network segmentation, so that the network quality can be detected accurately and quickly, and has industrial applicability.
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Abstract
L'invention concerne un procédé de détection de qualité de réseau consistant : à transmettre une tâche de détection utilisée pour commander un appareil d'acquisition pour acquérir, sur la base de segments, un ensemble de paramètres d'un premier réseau représentant un paramètre de transmission du premier réseau, le premier réseau étant un réseau de bout en bout ; à recevoir l'ensemble de paramètres acquis par l'appareil d'acquisition ; et à utiliser l'ensemble de paramètres pour analyser la qualité de réseau du premier réseau pour obtenir un résultat de détection de qualité de réseau du premier réseau. L'invention concerne également un dispositif de détection de qualité de réseau.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040106400A1 (en) * | 2002-04-18 | 2004-06-03 | Willtek Corporation | System for monitoring mobile communication performance |
CN101145977A (zh) * | 2006-09-11 | 2008-03-19 | 中兴通讯股份有限公司 | 一种IP数据网Qos监测系统及其测量方法 |
CN102340802A (zh) * | 2010-07-14 | 2012-02-01 | 中国联合网络通信集团有限公司 | 业务质量监测方法及系统 |
CN105024868A (zh) * | 2014-04-17 | 2015-11-04 | 北京视联动力国际信息技术有限公司 | 一种视联网的网络质量侦测方法和系统 |
CN106850337A (zh) * | 2016-12-29 | 2017-06-13 | 中兴通讯股份有限公司 | 一种网络质量检测方法及装置 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6978223B2 (en) * | 2001-09-06 | 2005-12-20 | Bbnt Solutions Llc | Systems and methods for network performance measurement using packet signature collection |
CN102143389B (zh) * | 2011-04-22 | 2014-01-15 | 赛特斯信息科技股份有限公司 | Iptv服务质量保障系统及质量保障方法 |
CN102439905B (zh) * | 2011-09-30 | 2014-02-19 | 华为技术有限公司 | 网络拓扑自动发现方法、装置及系统 |
CN102857799B (zh) * | 2012-09-14 | 2015-08-26 | 乐视致新电子科技(天津)有限公司 | 基于机顶盒的故障诊断方法 |
CN103813182B (zh) * | 2014-01-28 | 2017-08-11 | 苏州工业园区科升通讯有限公司 | 对iptv业务进行qos监测的系统及其方法 |
-
2016
- 2016-12-29 CN CN201611247185.1A patent/CN106850337B/zh active Active
-
2017
- 2017-12-12 WO PCT/CN2017/115561 patent/WO2018121237A1/fr active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040106400A1 (en) * | 2002-04-18 | 2004-06-03 | Willtek Corporation | System for monitoring mobile communication performance |
CN101145977A (zh) * | 2006-09-11 | 2008-03-19 | 中兴通讯股份有限公司 | 一种IP数据网Qos监测系统及其测量方法 |
CN102340802A (zh) * | 2010-07-14 | 2012-02-01 | 中国联合网络通信集团有限公司 | 业务质量监测方法及系统 |
CN105024868A (zh) * | 2014-04-17 | 2015-11-04 | 北京视联动力国际信息技术有限公司 | 一种视联网的网络质量侦测方法和系统 |
CN106850337A (zh) * | 2016-12-29 | 2017-06-13 | 中兴通讯股份有限公司 | 一种网络质量检测方法及装置 |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112866042A (zh) * | 2019-11-12 | 2021-05-28 | 中兴通讯股份有限公司 | 网络质量检测方法、装置、计算机设备和计算机可读介质 |
CN112866042B (zh) * | 2019-11-12 | 2023-07-18 | 中兴通讯股份有限公司 | 网络质量检测方法、装置、计算机设备和计算机可读介质 |
CN113139146A (zh) * | 2020-01-17 | 2021-07-20 | 中国移动通信集团浙江有限公司 | 网站质量评估方法、装置及计算设备 |
CN111740857B (zh) * | 2020-05-29 | 2023-12-26 | 新华三信息安全技术有限公司 | 网络质量分析nqa配置的下发方法及装置 |
CN111740857A (zh) * | 2020-05-29 | 2020-10-02 | 新华三信息安全技术有限公司 | 网络质量分析nqa配置的下发方法及装置 |
CN112333756B (zh) * | 2020-09-14 | 2024-02-27 | 咪咕文化科技有限公司 | 区域网络质量监测方法、系统、电子设备和存储介质 |
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