WO2019153337A1 - Appareil et procédé d'évaluation de la qualité de réseau, dispositif de détection de réseau, et support d'informations lisible - Google Patents

Appareil et procédé d'évaluation de la qualité de réseau, dispositif de détection de réseau, et support d'informations lisible Download PDF

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WO2019153337A1
WO2019153337A1 PCT/CN2018/076473 CN2018076473W WO2019153337A1 WO 2019153337 A1 WO2019153337 A1 WO 2019153337A1 CN 2018076473 W CN2018076473 W CN 2018076473W WO 2019153337 A1 WO2019153337 A1 WO 2019153337A1
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Prior art keywords
network
network delay
value
effective
determining
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PCT/CN2018/076473
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English (en)
Chinese (zh)
Inventor
王华涛
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深圳前海达闼云端智能科技有限公司
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Priority to PCT/CN2018/076473 priority Critical patent/WO2019153337A1/fr
Priority to CN201880001299.9A priority patent/CN108886479B/zh
Publication of WO2019153337A1 publication Critical patent/WO2019153337A1/fr

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    • 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
    • H04L43/0852—Delays
    • 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
    • H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
    • 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
    • H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0811—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking connectivity
    • 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
    • H04L43/0852—Delays
    • H04L43/0864—Round trip delays
    • 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
    • H04L43/16—Threshold monitoring
    • 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
    • H04L43/0823—Errors, e.g. transmission errors
    • H04L43/0829—Packet loss

Definitions

  • the present application relates to the field of communications technologies, and in particular, to a network quality assessment method, apparatus, network detection apparatus, and readable storage medium.
  • Packet Internet Groper is a common network diagnostic tool for testing network connections. The purpose is to test whether the network between two network hosts is connected and based on network delay (Roud Trip Time, RTT). ) Determine the current network quality. For example, a network host (which can be called a source host) sends an Internet Control Management Protocol (ICMP) through the ping command, which can be used to echo the request packet to another network host. It is called: the destination host, and waits for the ICMP echo reply to be returned. If the source host receives the response within a certain period of time, the destination host is considered reachable (that is, the network between the source host and the destination host is connected).
  • ICMP Internet Control Management Protocol
  • the operation of completing the ICMP echo request and the echo reply message by using the ping command may be specifically implemented in conjunction with FIG. 1 .
  • the source host initiates an ICMP request of type "0”
  • the destination host that receives the request makes an ICMP response of type "8”
  • the current network delay and in the process of sending requests and receiving responses multiple times, record the time difference between each request and response.
  • the ping command is executed, the maximum (max) and minimum values will be seen in the ping structure. Data such as (min) and average (avg) network delay, so that the current network quality can be determined based on these network delay data.
  • network delay ie, a message or packet is transmitted from one end of a network to The time required by the other end is constantly changing. For example, when the network traffic is larger, the longer the queues and routers are queued, the larger the network delay will be. In this complicated case, the maximum network delay and minimum network delay obtained by the ping command are often The difference is very large, and the network quality is usually expressed by calculating the average network delay. Therefore, when there is abnormal network delay data, simply calculating the average network delay does not reflect the true network quality.
  • a technical problem to be solved by some embodiments of the present application is to provide a network quality evaluation method, apparatus, network detection apparatus, and readable storage medium to solve the above technical problems.
  • An embodiment of the present application provides a network quality assessment method, where the network quality assessment method includes: initiating a network probe request; wherein the network probe request carries a confidence probability value and at least one request data packet; and the receiving network node according to each A response packet requested by the data packet, and records the network delay value when the response packet is received; according to the confidence probability value, selects an effective network delay value from all the network delay values recorded; determines the network according to the effective network delay value quality.
  • An embodiment of the present application provides a network quality evaluation apparatus, where the network quality evaluation apparatus includes: a sending module, configured to initiate a network probe request; wherein the network probe request carries a confidence probability value and at least one request data packet; a receiving module, configured to receive a response data packet that is generated by the network node according to each request data packet; a recording module configured to record a network delay value when the response data packet is received; and a selection module configured to use the trusted probability value from the recorded A valid network delay value is selected among all network delay values; a determining module is configured to determine network quality based on the effective network delay value.
  • An embodiment of the present application provides a network detecting device including at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions Executed by at least one processor to enable at least one processor to perform the network quality assessment method involved in any of the method embodiments of the present application.
  • One embodiment of the present application provides a readable storage medium that is a computer readable storage medium; the computer readable storage medium stores computer instructions for causing a computer to perform any of the method embodiments of the present application The network quality assessment method involved.
  • the embodiment of the present application selects an effective network delay value from all the network delay values recorded according to the confidence probability value carried in the network probe request, and determines the network quality according to the effective network delay value, thereby avoiding the present
  • the interference of abnormal data greatly improves the accuracy of the network quality assessment results, and makes the network quality assessment results closer to the real network quality.
  • FIG. 1 is a schematic diagram of an ICMP echo request and an echo response message in the prior art
  • FIG. 2 is a flowchart of a network quality assessment method in the first embodiment of the present application
  • FIG. 3 is a flowchart of a network quality assessment method in a second embodiment of the present application.
  • FIG. 4 is a flowchart of a network quality assessment method in a third embodiment of the present application.
  • FIG. 5 is a block diagram showing a network quality evaluation apparatus in a fourth embodiment of the present application.
  • FIG. 6 is a schematic block diagram of a network detecting apparatus in a fifth embodiment of the present application.
  • the first embodiment of the present application relates to a network quality assessment method that can be applied to a network node.
  • the network node referred to in this embodiment refers to each device that has its own unique network address, and may specifically be a workstation, a client, a network user, or a personal computer, or may be a server, a printer, or the like. Interconnected devices.
  • the network node that initiates the network probe request is referred to as a “source host”, and the responding network node is referred to as a “destination host”.
  • the specific process of the network quality assessment method is as shown in FIG. 2 .
  • step 201 a network probe request is initiated.
  • the network probe request initiated by the source host is specifically an ICMP echo reply request, so that the echo reply and the echo request can be implemented by using a ping command, thereby enabling the source host and the destination host.
  • Pass control information to determine whether the network is connected, whether the host is reachable, and so on.
  • the network probe request in this embodiment needs to carry the IP (Internet Protocol) address of the destination host to be requested. Or a domain name, and at least one request packet (such as 60), also need to carry a confidence probability value.
  • IP Internet Protocol
  • the confidence probability value is specifically a probability value used to measure the reliability of statistical inference, and its meaning refers to the probability that the estimated parameter is included in a certain range when performing statistical inference.
  • the specific value of the confidence probability value those skilled in the art can appropriately set according to the actual test requirements, and no limitation is made here.
  • step 202 a response packet is received and the network delay value when the response packet is received is recorded.
  • the response data packet received by the source host is a response data packet made by the destination host according to each request data packet.
  • an effective network delay value is selected from all of the recorded network delay values based on the confidence probability value.
  • the effective network delay value when the effective network delay value is selected from all the network delay values recorded according to the confidence probability value, the abnormal network delay value is determined according to the confidence probability value, and then all the networks are recorded from the network.
  • the effective network delay value is obtained by removing the abnormal network delay value from the delay value.
  • S1 Determine the network delay absolute value and the abnormal threshold.
  • the absolute value of the network delay mentioned here is the absolute value of the network delay of the response packet.
  • all the network delay values recorded need to be averaged to obtain the average network delay.
  • the difference between each network delay value and the network delay average is calculated, and the obtained difference is taken as the absolute value of the network delay of the corresponding response packet.
  • the abnormal threshold it is necessary to first obtain the test threshold of the Grubbs criterion corresponding to the network delay value, and determine the network delay standard deviation according to the network delay value. Then, the product of the test threshold value and the network delay standard deviation is calculated, and the obtained product is taken as the abnormal threshold value.
  • T K G (n, ⁇ ) ⁇ (x);
  • T is the abnormal threshold
  • K G (n, a) is the test threshold
  • ⁇ (x) is the network delay standard deviation determined based on all the network delay values recorded.
  • K G (n, a) can be obtained according to the Grubbs criterion test threshold table or the test threshold value calculation formula, and ⁇ (x) can be obtained according to the standard deviation calculation formula, and will not be described herein.
  • test threshold K G (n, a)
  • Method 1 Obtain the test threshold table using the Rabbs criterion.
  • n is the number of measurements (the total number of packets sent for the request packet) and P is the confidence probability value.
  • those skilled in the art can obtain the required test threshold according to the existing Gurbus criterion test threshold table, and details are not described herein again.
  • Method 2 Obtain the formula using the test threshold value.
  • K G (n, a) is the test threshold
  • n is the number of measurements (the total batch of the request packet is sent)
  • a is the risk probability value
  • t crit is the t distribution with a degree of freedom of n-2 (Student's t The probability of -distribution, student t-distribution) is the upper quantile of ⁇ (2n).
  • the absolute value of the network delay by comparing the absolute value of the network delay with the abnormal threshold, if it is determined that the absolute value of the network delay is greater than or equal to the abnormal threshold, it is determined that the absolute value of the network delay satisfies the abnormal threshold.
  • S3 Obtain a network delay value corresponding to each network delay absolute value that meets the abnormal threshold, and determine the obtained network delay value as an abnormal network delay value.
  • the network delay values are sorted in ascending order, starting from the minimum network delay value, and sequentially performing the network delay absolute value and the abnormal threshold corresponding to the sorted network delay values. In contrast, it is determined that the comparison result satisfies the abnormal threshold stop comparison, and it is determined that the network delay values that are not compared satisfy the abnormal threshold.
  • step 204 the network quality is determined based on the effective network delay value.
  • the source host when determining the network quality according to the effective network delay value, the source host needs to determine the effective network delay average of the network probe request according to the effective network delay value, and then determine the current network according to the obtained effective network delay average value. quality.
  • the effective network delay standard deviation of the network probe request may also be determined according to the effective network delay value, and then the current network quality is determined according to the obtained effective network delay standard deviation.
  • the effective network delay average of the network probe request and the effective network delay standard deviation can be determined according to the effective network delay value, so that the final network quality can be determined according to the comprehensive consideration of the two.
  • the network quality assessment method provided in this embodiment selects an effective network delay value from all recorded network delay values according to the confidence probability value carried in the network probe request, and determines according to the effective network delay value.
  • the network quality avoids the interference of abnormal data in the existing network quality assessment process, greatly improves the accuracy of the network quality assessment results, and makes the network quality assessment result closer to the real network quality.
  • a second embodiment of the present application relates to a network quality assessment method.
  • the embodiment is further improved on the basis of the first embodiment, and the specific improvement is: when the total batch of the request data packet carried in the network probe request is greater than 2, the network detection is determined according to the effective network delay value.
  • the requested effective network delay average and/or the effective network delay standard deviation which is determined according to the effective network delay average of each batch and/or the effective network delay standard deviation.
  • the steps 301 to 306 are included, and the steps 301 and 302 are respectively the same as the steps 201 and 202 in the first embodiment, and are not described herein again.
  • the steps 301 and 302 are respectively the same as the steps 201 and 202 in the first embodiment, and are not described herein again.
  • the network quality assessment method provided by the first embodiment, and details are not described herein again.
  • step 303 an effective network delay value for each batch is selected based on the confidence probability value.
  • step 304 an average of the effective network delays for each batch is determined.
  • an effective network delay average of the network probe request is determined based on the average of the effective network delays for each batch.
  • step 306 the network quality is determined based on the average of the effective network delays of the network probe request.
  • the manner of selecting the effective network delay value of each batch from all the network delay values recorded is still based on the confidence probability value, based on the Grubbs criterion, where No longer.
  • the source host initiates a network probe request of the ICMP protocol to the destination host, and the request carries the IP of the destination host, the number of packets per batch, the total batch of the request packet, and the confidence probability.
  • the values of these four parameters are taken as an example for specific explanation.
  • the number of request packets per batch is set to 60, the total number of packets sent for request packets is three, and the confidence probability value is 0.95.
  • the number of request packets successfully sent by the first batch is n (less than or equal to 60), and the received response packet is nh (h is an integer greater than or equal to 0), and the recorded network delay value is nh.
  • the number of request packets successfully sent by the second batch is n (less than or equal to 60), and the received response packet is nj (j is an integer greater than or equal to 0), and the recorded network delay value is nj.
  • the number of request packets successfully sent by the third batch is n (less than or equal to 60), and the received response packet is nk (k is an integer greater than or equal to 0), and the recorded network delay value is nk. .
  • the source host selects the effective network extension value from the network delay values of the three batches based on the set confidence probability value based on the Grubbs criterion.
  • the network delay values of the three batches are first sorted from small to large.
  • the network delay values of the first batch are sorted in ascending order, and the sorted values are m1, m2...mi (i is nk).
  • the network delay value of the first batch is averaged to obtain the network delay average of the first batch.
  • the standard deviation calculation is performed to obtain the network delay standard deviation ⁇ 1 of the first batch.
  • Starting mi calculate mi and network latency average
  • the absolute value ie, the absolute value of the network delay of the response packet corresponding to the network delay value mi)
  • test threshold table for the Grubbs criterion or use the test threshold to calculate the formula
  • a test threshold K G (i, ⁇ ) corresponding to each network delay value mi is obtained. Determine whether the network delay absolute value
  • the loop After all the abnormal network delay values in the first batch are eliminated, the loop performs nh times of testing, traversing the effective network delay value, accumulating all the effective network delay values and dividing by the number of effective network delay values to obtain an effective network. Average value of delay value Based on the average of these effective network delay values Calculate the effective network delay standard deviation ⁇ v .
  • the network delay values of the remaining two batches are processed to obtain the average value of the effective network delay value and the effective network delay standard deviation of each batch.
  • the effective network delay average and the effective network delay standard deviation of the network probe request can be obtained.
  • the network quality assessment method determines the network quality according to the effective network delay value by setting the total batch of the carried request packet to be greater than 2 when the network probe request is sent.
  • a third embodiment of the present application relates to a network quality assessment method. This embodiment is further improved on the basis of the first or second embodiment, and the specific improvement is: before selecting the effective network delay value from all the network delay values recorded according to the confidence probability value, it is necessary to determine the current Whether the packet loss rate of the network probe request satisfies the preset normal packet loss rate. For convenience of description, the following is specifically described in conjunction with FIG. 4 on the basis of the first embodiment.
  • step 401 to step 405 are included, wherein step 401 and step 202, step 404, and step 405 are respectively approximated to step 201 and step 202, step 203, and step 204 in the first embodiment.
  • step 401 and step 202, step 404, and step 405 are respectively approximated to step 201 and step 202, step 203, and step 204 in the first embodiment.
  • the details are not described here.
  • the following is a description of the differences.
  • the technical details that are not described in detail in this embodiment refer to the network quality assessment method provided in the first embodiment, and details are not described herein again.
  • step 403 it is determined whether the packet loss rate of the network probe request meets a preset normal packet loss rate.
  • step 404 if it is determined that the packet loss rate of the network probe request meets the preset normal packet loss rate, proceed to step 404, and select an effective network delay value from all the network delay values recorded according to the confidence probability value; otherwise, return to the step 401. Re-initiate the network probe request.
  • the packet loss rate of the current network probe request is calculated according to the number of request data packets carried in the network probe request and the number of received response data packets, which can be calculated according to the following formula:
  • R Q is the number of request packets sent
  • R S is the number of received response packets
  • P L is the packet loss rate of the network probe request
  • the final calculated packet loss rate is the packet loss rate after averaging the packet loss rate of each batch.
  • the packet loss rate usually, when the traffic of the Gigabit NIC is greater than 200 Mbps, the packet loss rate is less than 50,000, and the packet loss rate is less than one ten thousand when the traffic is greater than 60 Mbps. Normal, specific settings, those skilled in the art can be reasonably set according to the test needs, and no limitation is made here.
  • the network quality evaluation method determines whether the packet loss rate of the current network probe request is determined before selecting an effective network delay value from all the network delay values recorded according to the confidence probability value.
  • the preset normal packet loss rate is met, and the network quality operation is determined after the predetermined normal packet loss rate is determined, thereby further ensuring the accuracy of the final determined network quality.
  • a fourth embodiment of the present application relates to a network quality evaluation apparatus, and the specific structure is as shown in FIG. 5.
  • the network quality evaluation apparatus transmits a module 501, a receiving module 502, a recording module 503, a selecting module 504, and a determining module 505.
  • the sending module 501 is configured to initiate a network probe request.
  • the network probe request initiated by the sending module 501 is specifically an echo reply response request of the ICMP, so that the echo reply and the echo request can be implemented by using a ping command, so that the network can be set.
  • the request device of the quality evaluation device hereinafter referred to as "source host”
  • the response device responding to the request hereinafter referred to as "destination host” transfer control information to determine whether the network is unreachable, whether the host is reachable, or the like.
  • the network probe request in this embodiment needs to carry the IP (Internet Protocol) address of the destination host to be requested. Or a domain name, and at least one request packet, you also need to carry a confidence probability value.
  • IP Internet Protocol
  • the sending batch of the request data packet can be set in a network probe request to be greater than 2, so that the plurality of batches can be obtained.
  • the data is averaged so that the final result is more in line with the actual network conditions.
  • the sending batch of the requested data packet is greater than 2 because the check threshold of the Grubbs criterion is selected when the effective network delay value is selected based on the Grubbs criterion. The lowest is from the number of measurements (sending batch) is 3.
  • the transmission format of the network probe request will be exemplified below.
  • the specific request format may be: ping+space+destination host IP address + space + number of request packets + space + confidence probability value.
  • the receiving module 502 is configured to receive a response data packet that the network node makes according to each request data packet.
  • the recording module 503 is configured to record a network delay value when the response packet is received.
  • the recording module 503 when the recording module 503 records the network delay value, in order to facilitate subsequent use, it is necessary to simultaneously record which response packet corresponds to each network delay value, and the corresponding response packet. It is also corresponding to which request packet. In this way, in the subsequent processing, it can be clearly known which request packets have not received the response, and which response packets received are abnormal.
  • the selecting module 504 is configured to select an effective network delay value from all the network delay values recorded according to the confidence probability value.
  • the selecting module 504 selects an effective network delay value from all the network delay values recorded according to the confidence probability value, specifically, based on the Grubbs criterion, all the network delay values to be recorded. The wrong error (significantly exceeding the expected error under specified conditions) is stripped and the remaining network delay value is taken as the effective network delay value.
  • the determining module 505 is configured to determine the network quality according to the effective network delay value.
  • the determining module 505 when determining the network quality according to the effective network delay value, specifically needs to determine an effective network delay average of the network probe request according to the effective network delay value, and then determine the current according to the obtained effective network delay average value. Network quality.
  • the effective network delay standard deviation of the network probe request may also be determined according to the effective network delay value, and then the current network quality is determined according to the obtained effective network delay standard deviation.
  • the effective network delay average of the network probe request and the effective network delay standard deviation can be determined according to the effective network delay value, so that the final network quality can be determined according to the comprehensive consideration of the two.
  • the interference information may be filtered by using the packet loss rate, for example, determining whether the packet loss rate of the current network probe request satisfies the preset normal packet loss rate, and determining that the preset normal packet loss is satisfied. At the time of the rate, the above operations are performed to further ensure the accuracy of the final result.
  • the number of request data packets carried in the network probe request and the number of received response data packets recorded by the recording module 503 are calculated according to the sending module 501, when the network probe request is initiated by the sending module 501. acquired.
  • the present embodiment is a virtual device embodiment corresponding to the method embodiment, and thus the technical details not described in detail in this embodiment, refer to the network quality evaluation method provided by any embodiment of the present application. I will not repeat them here.
  • the network quality evaluation apparatus provided in this embodiment effectively avoids the interference of abnormal data in the network quality assessment process by the cooperation of the above various functional modules, and greatly improves the accuracy of the network quality assessment result. To make the network quality assessment results closer to the real network quality.
  • a fifth embodiment of the present application relates to a network detecting device, and the specific structure is as shown in FIG. 6.
  • the network node in this embodiment refers to each device that has its own unique network address, and may specifically be a workstation, a client, a network user, or a personal computer, and may also be a server, a printer, and other devices capable of interconnecting through a network. There are no restrictions here.
  • the network detecting device may specifically include one or more processors 601 and a memory 602.
  • One processor 601 is taken as an example in FIG.
  • each functional module in the network quality evaluation apparatus involved in the foregoing embodiment is deployed on the processor 601, and the processor 601 and the memory 602 can be connected through a bus or other manner, and the bus is connected through the bus in FIG. Connection is an example.
  • the memory 602 is a computer readable storage medium, and can be used to store a software program, a computer executable program, and a module, such as a program instruction/module corresponding to the network quality evaluation method involved in any method embodiment of the present application.
  • the processor 601 executes various functional applications and data processing of the server by running software programs, instructions, and modules stored in the memory 602, that is, implementing the network quality evaluation method involved in any method embodiment of the present application.
  • the memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required by at least one function; and the storage data area may establish a historical database for storing abnormal thresholds and normal packet loss. Rate and so on.
  • the memory 602 may include a high speed random access memory, and may also include a readable and writable memory (RAM).
  • memory 602 can optionally include memory remotely located relative to processor 601 that can be connected to the terminal device over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the memory 602 may store at least one instruction executed by the processor 601, and the instruction is executed by the at least one processor 601, so that the at least one processor 601 can perform the network quality assessment method involved in any method embodiment of the present application.
  • Each of the functional modules in the control network quality assessment device performs the operations in the network quality assessment method.
  • the network quality assessment method provided in any embodiment of the present application.
  • a sixth embodiment of the present application is directed to a computer readable storage medium, which is a computer readable storage medium having stored therein computer instructions that enable a computer to perform any of the present application The network quality assessment method involved in the method embodiment.
  • a program instructing related hardware may be completed by a program instructing related hardware, and the program is stored in a storage medium, and includes a plurality of instructions for making a device (which may be a single chip microcomputer). , a chip, etc. or a processor performs all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

Abstract

La présente invention concerne le domaine technique des communications. Un appareil et un procédé d'évaluation de la qualité de réseau, un dispositif de détection de réseau, et un support d'informations lisible sont décrits. Le procédé d'évaluation de la qualité de réseau de la présente invention consiste : à initier une demande de détection de réseau, la demande de détection de réseau transportant une valeur de probabilité de confiance et au moins un paquet de données de demande ; à recevoir un paquet de données de réponse réalisé par un nœud de réseau conformément à chaque paquet de données de demande, et à enregistrer des valeurs de latence de réseau sur réception du paquet de données de réponse ; à sélectionner, conformément à la valeur de probabilité de confiance, une valeur de latence de réseau efficace à partir de toutes les valeurs de latence de réseau enregistrées ; et à déterminer la qualité de réseau conformément à la valeur de latence de réseau efficace. Conformément au procédé d'évaluation de la qualité de réseau, la précision du résultat d'évaluation de la qualité de réseau peut être améliorée de façon significative, permettant ainsi au résultat d'évaluation de la qualité de réseau de s'approcher plus de la qualité de réseau réelle.
PCT/CN2018/076473 2018-02-12 2018-02-12 Appareil et procédé d'évaluation de la qualité de réseau, dispositif de détection de réseau, et support d'informations lisible WO2019153337A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2018/076473 WO2019153337A1 (fr) 2018-02-12 2018-02-12 Appareil et procédé d'évaluation de la qualité de réseau, dispositif de détection de réseau, et support d'informations lisible
CN201880001299.9A CN108886479B (zh) 2018-02-12 2018-02-12 网络质量评估方法、装置、网络检测设备及可读存储介质

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