WO2019153337A1

WO2019153337A1 - Network quality evaluation method and apparatus, network detection device, and readable storage medium

Info

Publication number: WO2019153337A1
Application number: PCT/CN2018/076473
Authority: WO
Inventors: 王华涛
Original assignee: 深圳前海达闼云端智能科技有限公司
Priority date: 2018-02-12
Filing date: 2018-02-12
Publication date: 2019-08-15
Also published as: CN108886479B; CN108886479A

Abstract

The present application relates to the technical field of communications. Disclosed are a network quality evaluation method and apparatus, a network detection device, and a readable storage medium. The network quality evaluation method in the present application comprises: initiating a network detection request, the network detection request carrying a confidence probability value and at least one request data packet; receiving a response data packet made by a network node according to each request data packet, and recording network latency values upon receipt of the response data packet; selecting, according to the confidence probability value, an effective network latency value from all the recorded network latency values; and determining the network quality according to the effective network latency value. According to the network quality evaluation method, the accuracy of the network quality evaluation result can be significantly improved, thereby enabling the network quality evaluation result to approach the real network quality more.

Description

Network quality assessment method, device, network detection device and readable storage medium

Technical field

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.

Background technique

Packet Internet Groper (ping) 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).

Specifically, in an actual application, 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 . Specifically, the source host initiates an ICMP request of type "0", and the destination host that receives the request makes an ICMP response of type "8", and then calculates the time difference between the number of ICMP response packets and the sent packet. 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. When 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.

However, the inventors have found that at least the following problems exist in the prior art: due to the complexity of the Internet, the dynamic change of network traffic, and the dynamic selection of network routing, 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.

Summary of the invention

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.

Compared with the prior art, 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 In the process of network quality assessment, 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.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1 is a schematic diagram of an ICMP echo request and an echo response message in the prior art;

2 is a flowchart of a network quality assessment method in the first embodiment of the present application;

3 is a flowchart of a network quality assessment method in a second embodiment of the present application;

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.

FIG. 6 is a schematic block diagram of a network detecting apparatus in a fifth embodiment of the present application.

Detailed ways

In order to make the objects, the technical solutions and the advantages of the present application more clear, some embodiments of the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

The first embodiment of the present application relates to a network quality assessment method that can be applied to a network node.

It should be noted that 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. For convenience of description, 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 .

In step 201, a network probe request is initiated.

Specifically, in this embodiment, 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.

In addition, in order to be able to determine the network quality based on the effective network delay value, 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.

It should be noted that 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. Regarding 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.

It should be noted that the above is only an example, and does not limit the technical solution of the present application and the scope to be protected. In practical applications, those skilled in the art can appropriately set according to actual needs, and no limitation is made herein.

In step 202, a response packet is received and the network delay value when the response packet is received is recorded.

Specifically, in the embodiment, 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.

In addition, it should be noted that, when recording 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 which response packet corresponds to which one. The request packet corresponds. 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.

In step 203, an effective network delay value is selected from all of the recorded network delay values based on the confidence probability value.

Specifically, in the embodiment, 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.

For ease of understanding, the following describes the operation of determining the abnormal network delay value according to the confidence probability value:

S1: Determine the network delay absolute value and the abnormal threshold.

Specifically, the absolute value of the network delay mentioned here is the absolute value of the network delay of the response packet. When determining the value, all the network delay values recorded need to be averaged to obtain the average network delay. Then, 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.

When determining 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.

In order to facilitate understanding, the following specific formula is combined:

Formula 1: T = K _G (n, α) σ (x);

Specifically, T is the abnormal threshold, K _G (n, a) is the test threshold, and σ(x) is the network delay standard deviation determined based on all the network delay values recorded.

Where K _G (n, a) can be obtained according to the Grubbs criterion test threshold table or the test threshold value calculation formula, and σ(x) can be obtained according to the standard deviation calculation formula, and will not be described herein.

In order to facilitate understanding of the two acquisition methods of the test threshold K _G (n, a), the following is specifically described:

Method 1: Obtain the test threshold table using the Rabbs criterion.

Grubbs criterion test threshold table 1

Where n is the number of measurements (the total number of packets sent for the request packet) and P is the confidence probability value.

It should be noted that the risk probability value a (also referred to as the out-of-tolerance probability value) in the inspection threshold K _G (n, a) and the confidence probability value P satisfy the following relationship: α=1-P.

In addition, it should be noted that the test threshold value listed in Table 1 of the above-mentioned Grubbs criterion is only the test threshold value of α=0.05 and α=0.01 when the number of measurements is in the range of 3 to 20. In practical applications, 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.

Formula 2:

Where 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, and 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 α÷(2n).

Since the application of the t-distribution is relatively mature, those skilled in the art can obtain the technology according to the mastery thereof, and details are not described herein again.

S2: Determine that the absolute value of the network delay meets the abnormal threshold.

Specifically, 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.

In addition, it is worth mentioning that, in practical applications, in order to quickly select an effective network delay value from all recorded network delay values, in the step of determining that the absolute value of the network delay satisfies the abnormal threshold, it may first Sort the network delay values in large or small to small order.

For convenience of explanation, the following describes an example in which the network delay values are sorted in ascending order.

After all the network delay values are recorded, 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.

It should be noted that, the above is only a specific implementation manner of “selecting an effective network delay value from all the network delay values recorded according to the confidence probability value”. In practical applications, those skilled in the art can The technical means that it masters, choose the appropriate way to remove the coarse error (remove the abnormal network delay value), and there is no limit here.

In step 204, the network quality is determined based on the effective network delay value.

Specifically, 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.

In addition, it should be noted that, in actual applications, 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.

In addition, in order to ensure the accuracy of the result, 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.

Compared with the prior art, 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. For convenience of explanation, the following is specifically described with reference to FIG. Description.

Specifically, in this embodiment, 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. For the technical details that are not described in detail in this embodiment, refer to the network quality assessment method provided by the first embodiment, and details are not described herein again.

In step 303, an effective network delay value for each batch is selected based on the confidence probability value.

In step 304, an average of the effective network delays for each batch is determined.

In step 305, an effective network delay average of the network probe request is determined based on the average of the effective network delays for each batch.

In step 306, the network quality is determined based on the average of the effective network delays of the network probe request.

It should be noted that, in this embodiment, 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.

For ease of understanding, 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.

Assume that 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.

For fast calculations, the network delay values of the three batches are first sorted from small to large.

For the convenience of explanation, the following is an example of the first batch:

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.

For the network delay value of the first batch, the standard deviation calculation is performed to obtain the network delay standard deviation σ1 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), the formula is expressed as follows:

Find the test threshold table for the Grubbs criterion or use the test threshold to calculate the formula

A test threshold K _G (i, α) corresponding to each network delay value mi is obtained. Determine whether the network delay absolute value |Δxi| is greater than the abnormal threshold (K _G (i, α) × σ1), and if |Δxi| is greater than K _G (i, α) × σ1, the network delay value mi is considered to be an abnormal network delay. Value, discard the value.

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 σ _v .

According to the above operation, 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.

By averaging the average of the three effective network delay values and the effective network delay standard deviation, the effective network delay average and the effective network delay standard deviation of the network probe request can be obtained.

Compared with the prior art, the network quality assessment method provided in this embodiment 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. When averaging the effective network delay values of each batch, so that the effective network delay average of the final network probe request and/or the effective network delay standard deviation can more accurately reflect the current network quality, further Improve the accuracy of network quality assessment.

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.

Specifically, in this 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. For the same, the details are not described here. The following is a description of the differences. For 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.

In step 403, it is determined whether the packet loss rate of the network probe request meets a preset normal packet loss rate.

Specifically, 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:

Formula 3:

Where R _Q is the number of request packets sent, R _S is the number of received response packets, and P _{L is} the packet loss rate of the network probe request.

In addition, if the sending batch of the request packet set in the network probe request is greater than 2, the final calculated packet loss rate is the packet loss rate after averaging the packet loss rate of each batch.

In addition, regarding the setting of the normal 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.

Compared with the prior art, the network quality evaluation method provided in this embodiment 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.

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.

Specifically, in this embodiment, 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") and 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.

In addition, in order to be able to determine the network quality based on the effective network delay value, 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.

In addition, in order to make the evaluated network quality closer to the real network situation, when the network probe request is initiated, 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.

It should be noted that, in this embodiment, 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.

In addition, for ease of understanding, the transmission format of the network probe request will be exemplified below. For example, when the network probe request carries the destination host IP address, the number of request packets per batch, the total batch of the request packet, and the confidence probability value, 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.

Specifically, in the embodiment, 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.

Specifically, in this embodiment, 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.

Specifically, when determining the network quality according to the effective network delay value, the determining module 505 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.

Further, in the actual application, 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.

Regarding the packet loss rate of the current network probe request, 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.

It should be noted that, because 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.

Through the above description, it is not difficult to find that 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.

In addition, it should be noted that the device embodiments described above are merely illustrative and do not limit the scope of protection of the present application. In practical applications, those skilled in the art may select some of them according to actual needs or All modules are used to achieve the purpose of the solution of the embodiment, and no limitation is imposed here.

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.

For convenience of explanation, a personal computer will be taken as an example for specific description.

Specifically, 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.

In this embodiment, 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. In addition, the memory 602 may include a high speed random access memory, and may also include a readable and writable memory (RAM). In some embodiments, 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.

In an actual application, 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. For the technical details not described in detail in this embodiment, refer to 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.

Those skilled in the art can understand that all or part of the steps of implementing the above embodiments 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. .

A person skilled in the art can understand that the above embodiments are specific embodiments of the present application, and various changes can be made in the form and details without departing from the spirit and scope of the application. range.

Claims

A method for network quality assessment, including:

Initiating a network probe request, where the network probe request carries a confidence probability value and at least one request data packet;

Receiving, by the network node, a response data packet according to each of the request data packets, and recording a network delay value when the response data packet is received;

Determining, according to the confidence probability value, an effective network delay value from all of the recorded network delay values;

The network quality is determined based on the effective network delay value.
The network quality evaluation method according to claim 1, wherein the selecting the effective network delay value from all the network delay values recorded according to the confidence probability value comprises:

Determining an abnormal network delay value according to the confidence probability value;

The abnormal network delay value is removed from all of the recorded network delay values to obtain the effective network delay value.
The network quality evaluation method according to claim 2, wherein the determining the abnormal network delay value according to the confidence probability value comprises:

Performing an averaging operation on all of the recorded network delay values to obtain an average network delay value;

Calculating a difference between the network delay value and the network delay average, and using the obtained difference as the network delay absolute value of the response packet;

Determining an abnormal threshold according to the confidence probability value;

Determining that the network delay absolute value satisfies the abnormal threshold value;

Obtaining the network delay value corresponding to the network delay absolute value that meets the abnormal threshold value, and determining the obtained network delay value as the abnormal network delay value.
The network quality assessment method according to claim 3, wherein the determining that the network delay absolute value satisfies the abnormal threshold value comprises:

Sorting the network delay values in ascending order;

Starting from the smallest network delay value, sequentially comparing the network delay value corresponding to the sorted network delay value with the abnormal threshold value until determining that the comparison result satisfies the abnormal threshold value Aligning, and determining that the network delay values that are not aligned satisfy the abnormal threshold.
The network quality assessment method according to claim 3 or 4, wherein the determining the abnormal threshold according to the confidence probability value comprises:

Obtaining a test threshold of a Grubbs criterion corresponding to the network delay value;

Determining a network delay standard deviation according to the network delay value;

A product of the test threshold and the network delay standard deviation is calculated, and the obtained product is used as the abnormal threshold.
The network quality assessment method according to claim 5, wherein the determining that the network delay absolute value satisfies the abnormal threshold value comprises:

Determining that the network delay absolute value is greater than or equal to the abnormal threshold.
The network quality assessment method according to any one of claims 1 to 6, wherein the determining the network quality according to the effective network delay value comprises:

Determining an effective network delay average of the network probe request and/or an effective network delay standard deviation according to the effective network delay value;

The network quality is determined based on an average of an effective network delay of the network probe request and/or the effective network delay standard deviation.
The network quality assessment method according to claim 7, wherein the network probe request further carries a total batch of the request packet, and the total batch sent is greater than two;

Determining, according to the effective network delay value, an effective network delay average value of the network probe request and/or an effective network delay standard deviation, specifically:

Selecting an effective network delay value for each batch from all network delay values of each batch recorded according to the confidence probability value;

The following processing is performed for each batch's effective network delay value:

Determine the effective network delay average and/or effective network delay standard deviation for each batch;

Determining an average of effective network delays of the network probe request according to the average of the effective network delays of each batch;

And/or determining an effective network delay standard deviation of the network probe request based on the effective network delay standard deviation of each batch.
The network quality evaluation method according to any one of claims 1 to 8, wherein said network quality evaluation is performed before selecting an effective network delay value from all of said recorded network delay values according to said confidence probability value The method also includes:

Determining that the packet loss rate of the network probe request meets a preset normal packet loss rate;

The packet loss rate is determined according to the number of the request data packets and the number of the received response data packets.
The network quality assessment method according to any one of claims 1 to 9, wherein the network probe request is an echo reply request of an ICMP.
A network quality assessment device comprising:

a sending module, configured to initiate a network probe request, where the network probe request carries a confidence probability value and at least one request data packet;

a receiving module, configured to receive, by the network node, a response data packet according to each of the request data packets;

a recording module, configured to record a network delay value when the response packet is received;

a selecting module, configured to select an effective network delay value from all the network delay values recorded according to the confidence probability value;

And a determining module, configured to determine a network quality according to the effective network delay value.
A network detection device includes:

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 being executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 10. Network quality assessment method.
A readable storage medium, wherein the readable storage medium is a computer readable storage medium;

The computer readable storage medium stores computer instructions for causing the computer to perform the network quality assessment method of any one of claims 1 to 10.