CN109039689B - Method suitable for detecting download speed of large file of CDN node - Google Patents
Method suitable for detecting download speed of large file of CDN node Download PDFInfo
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Abstract
The invention relates to a method for detecting the download speed of a large file of a CDN node, which comprises a detection task management sub-module, a network quality detection sub-module, a communication interface sub-module and a network quality analysis processing sub-module, wherein the detection task management sub-module, the network quality detection sub-module, the communication interface sub-module and the network quality analysis processing sub-module are communicated with each other through a communication bus, each module is in signal transmission through a TCP protocol, the communication interface sub-module is arranged on each other module and is in data transmission through the communication bus, the detection task management sub-module sends a detection task to the network quality detection sub-module through the TCP protocol, the network quality detection sub-module executes the detection task after receiving the detection task to realize the detection and analysis of the download network speed of the large file, the average download speed of the large file of each CDN node can be accurately calculated only by downloading fewer bytes of the file through a mathematical operation algorithm, the overhead of network resources is saved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a method suitable for detecting the downloading speed of a large file of a CDN node.
Background
With the development of society, the rapid growth of internet users drives the vigorous development of internet economy, and mobile internet, electronic commerce, network video, brand network advertisement, online recruitment, network games and the like are rapidly developed in a very short time and accumulate a plurality of users, so that the internet users become an indispensable part of the life of people.
In the existing CDN technology, in a CDN network environment, it is often necessary to perform network speed detection on an edge node to analyze the quality of network service of the edge node. A common way to analyze the quality of service of a network is to download files on the nodes, analyze the transmission speed of the network by downloading, and thus have a general knowledge of the quality of service of the network, and such probing and analysis is a periodic process.
For example, there are many game websites, the game clients of these websites are mostly over 500 megabytes, and the requirements of WEB services for downloading large files and small files in network communication are very different. The large file is suitable for the edge cache node with a relatively stable network, and the small file has high requirement on the timely responsiveness of the request and needs to be dispatched to the edge cache node with fast service response. The CDN monitoring system has many monitoring tasks, and if large files on a customer website are completely downloaded, bandwidth is wasted, detection time is occupied, and one round of detection cannot be finished in a detection period. Therefore, an economical detection scheme needs to be designed to simulate the downloading of the large file, so that the detection effect can be close to the real complete downloading of the large file.
Disclosure of Invention
The invention aims to provide a method suitable for detecting the downloading speed of a large file of a CDN node, which aims to solve the problems and the defects in the background technology and realize the detection and analysis of the downloading network speed of the large file.
In order to achieve the purpose, the invention provides the following technical scheme:
a method suitable for detecting the download speed of a large file of a CDN node comprises a detection task management submodule, a network communication submodule, a network quality detection submodule, a communication interface submodule, a network quality analysis processing submodule and a communication bus, wherein,
the detection task management sub-module, the network quality detection sub-module, the communication interface sub-module and the network quality analysis processing sub-module are communicated with each other through a communication bus, signal transmission is carried out among the modules through a TCP protocol, the communication interface sub-module is arranged on the communication interface sub-module and carries out data transmission through the communication bus, specifically, the detection task management sub-module sends a detection task to the network quality detection sub-module through the TCP protocol, and the network quality detection sub-module executes the detection task after receiving the detection task;
the communication interface sub-module communicates the detection task with each CDN node through a TCP protocol;
after the detection task is completed, the network quality detection submodule receives the detection result and the network service quality data through the communication interface submodule and feeds the detection result back to the network quality analysis processing submodule, and the module comprehensively analyzes the network quality;
the detection task management submodule manages the IP address of the node, establishes the corresponding relation between the IP address and regions and operators, and simultaneously sets the detection frequency;
the network quality detection submodule carries out data communication with each node server through the communication interface submodule and the network communication submodule, and the data communication comprises sending a data request and returning a data result; meanwhile, the sub-module can also communicate with other related systems such as a monitoring system;
a network quality detection submodule: the sub-module detects the network quality of each node, simulates a real access scene, namely, a user of the internet acquires the content on the CDN node to detect the service quality of the network, sends an access request to each node and returns network service quality data, namely the downloading speed of various files, and the network quality detection sub-module transmits the network quality data to the network quality analysis processing sub-module for the analysis of the network quality analysis processing sub-module;
the communication interface sub-module is used for carrying out data communication among the modules through interfaces; the data in each module are transmitted mutually through the network communication sub-module; and data butt joint between each module and each node;
the communication bus is a public communication trunk line for transmitting information among various functional components of the computer, and is a transmission line bundle consisting of wires and used for transmitting data among the components;
a network quality analysis processing submodule: the sub-module can be used for comprehensively analyzing the network quality, and the analysis method is that a mathematical algorithm is used for simulating the downloading of the large file to obtain the effect of evaluating the downloading of the large file and transmitting the analysis processing result to a related monitoring system through the network communication sub-module.
In the above technical solution, the probe task management sub-module manages the probe task, sets node information to be detected, which is usually IP address information of the node, specifically, establishes corresponding management of each node information and IP address, sets the IP address and name of the node in a matching manner, and maps the IP address and name to an individual IP address, that is, establishes a corresponding relationship, and represents the IP address by the name set in the matching manner.
In the technical scheme, the network quality detection submodule is responsible for detecting the network quality and detecting the network quality of each node, and particularly aims at the downloading process of an edge cache node simulation file, namely, the average downloading speed of each type of file of the node is calculated according to the size of the file and the time spent on downloading;
the simulation of the downloading process of the file refers to simulating the downloading of the large file through a mathematical algorithm to obtain the effect of evaluating the downloading of the large file, and the method specifically comprises the following steps:
when a monitoring task is set, a special field is set to define the task type, and when the value of the special field is N, the task is a common task; the value of the field is Y, which indicates that the file is of a large file downloading type and needs to be specially processed; the special processing method is that when the task is detected, the task is stopped when the byte number with a specific size is downloaded at most; and when all tasks are detected, evaluating the downloading effect of the large file.
In the technical scheme, the effect of evaluating the downloading of the large file is obtained by a mathematical operation algorithm, the actual speed obtained by downloading the large file and another simulated speed are weighted, and the simulated speed is accumulated by the number of bytes flowing out from the edge cache node in the current detection, and is divided by the time-consuming accumulation of all the edge cache nodes in the current detection;
the mathematical operation algorithm is expressed by a mathematical formula as follows:
s＝k1×s1+(1-k1)×s2
s2＝b÷t，
wherein: s is the resulting evaluation speed; s1 is the simulation speed, bi is the number of bytes of detection download from the ith time to the edge cache node, and ti is the detection time consumption from the ith time to the edge cache node; s2 actual speed of the large file detection task, b is the number of bytes downloaded from the edge cache node in the current detection, and t is the time consumption from the current time to the edge cache node; k1 is a weight and k1 is defined as a value of 0.6.
The invention has the advantages that:
the method for detecting the download speed of the large files of the CDN nodes, provided by the technical scheme, can effectively solve the problems and defects in the background technology to realize the detection and analysis of the network speed of the large file download, can accurately calculate the average download speed of the large files of each CDN node by only downloading a few bytes of the files through a mathematical operation algorithm, and saves the expenditure of network resources.
Drawings
Fig. 1 is a schematic structural diagram of a method for detecting a large file download speed of a CDN node according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the detection task management sub-module, the network quality detection sub-module, the communication interface sub-module, and the network quality analysis processing sub-module communicate with each other through a communication bus, each module performs signal transmission through a TCP protocol, the communication interface sub-module is disposed on the communication interface sub-module, the network detection task management sub-module issues the detection task to the network quality detection sub-module through the TCP protocol, and the network quality detection sub-module executes the detection task after receiving the detection task; the communication interface sub-module communicates the detection task with each CDN node through a TCP protocol; after the detection task is completed, the network quality detection submodule receives the detection result and the network service quality data through the communication interface submodule and feeds the detection result back to the network quality analysis processing submodule, and the module comprehensively analyzes the network quality; the network detection task management submodule manages the IP address of the node, establishes the corresponding relation between the IP address and regions and operators, and simultaneously sets the detection frequency; through the communication interface submodule and the network communication submodule, the network quality detection submodule is in data communication with each node server, and meanwhile, the submodule can also be in communication with other related systems such as a monitoring system; the network quality detection submodule transmits the network quality data to the network quality analysis processing submodule for the latter to use when analyzing.
In the embodiment of the present invention, the simulated real access scenario refers to a user of the internet, which obtains (GET) content (which may be a web page or a picture, or a file download, or a video file), on a CDN node, and after the GET succeeds, the internet user can browse the web page (picture), download the file, or view the video.
And sending an access request to each node, wherein the content covered by the access request is more, such as browsing and pictures, downloading files, watching videos and the like, and the aim of the access request is to test the time spent from the initiation of the request to the acquisition of the content.
Here, a complete cycle is shown, and when the detection task management module, the network communication module, the network quality detection module, the communication interface module, the network quality analysis processing module and the communication bus are applied to all modules mentioned in the technical scheme of the invention, a round of detection is completed in the detection cycle.
The detection task management submodule manages the detection task and manages the detection task, and the detection task management submodule issues the detection task to the network quality detection submodule through the network communication submodule, the communication interface submodule and the communication bus, for example, node information to be detected, which is usually IP address information of a node, is set. For convenience of management, corresponding management of information and IP addresses of each node may be established, for example, the IP address of a node deployed in Nanjing telecom is 1.1.1.1, and we may set the name of Nanjing telecom as a njing-telecom and map it to the IP address of 1.1.1.1, so that the node of Nanjing telecom establishes a corresponding relationship with the IP address of 1.1.1.1, and the Nanjing-telecom can represent the IP address of 1.1.1.1.
The function can also set the detection frequency, such as once detection in 5 minutes, once detection in 10 minutes, etc., and the detection frequency can be adjusted appropriately according to the service requirement.
The network quality detection submodule is responsible for network quality detection, the network quality detection submodule is communicated with each node through the network communication submodule, the communication interface submodule and the communication bus and downloads files, network quality detection is achieved, small files and large files are cached on the nodes, and for the small files (within 2M), the files can be downloaded and the average downloading speed of the files can be calculated. For large files (more than 2M, tens of M, even G), if all files are downloaded, the network resource is wasted.
When a monitoring task is set, a field largefile is used for defining the task type, and if the value of the field is N, the task is a common task; the value of this field is Y, indicating a large file download type, requiring special handling for this task. The special processing method is that when the task is detected, at most 2 megabytes are downloaded and then the task is stopped; and when all tasks are detected, evaluating the downloading effect of the large file.
And after the network quality analysis processing sub-module receives the detection data through the network communication sub-module, the communication interface sub-module and the communication bus, the network quality is analyzed by using mathematical operation.
This effect is obtained by a mathematical operation that weights the actual speed obtained from the downloading of the large file with the speed of another simulation. The simulated speed is accumulated by the number of bytes flowing out from the edge cache node in the current detection, and is divided by the time consumed by detecting the edge cache node in the current detection.
The algorithm is expressed by a mathematical formula:
S＝k1×s1+(1-k1)×s2
s2＝b÷t，
wherein: s is the resulting evaluation speed; s1 is the simulation speed, bi is the number of bytes of detection download from the ith time to the edge cache node, and ti is the detection time consumption from the ith time to the edge cache node; s2 actual speed of the large file detection task, b is the number of bytes downloaded from the edge cache node in the current detection, and t is the time consumption from the current time to the edge cache node; k1 is a weight, and k1 is defined as 0.6.
Examples
At a certain edge node there are 5 files smaller than 2M (2048KB) of 358KB, 896KB, 879KB, 1879KB, 1756KB respectively, and a large file larger than 2M of 59094 KB. The 5 small files are downloaded in a downloading mode, and the downloading respectively takes 0.5 second, 1.6 seconds, 1.59 seconds, 3.14 seconds and 3.09 seconds. For a large file of size 59094KB, 2M (1024KB) sized content may be actually downloaded first, taking 3.59 seconds in practice. The average downloading speed of the large file can be simulated and calculated through the technical scheme.
The average download speed of 5 small files is:
(358KB +896KB +879KB +1879KB +1756KB)/(0.5+1.6+1.59+3.14+3.09) ═ 5768KB/9.92 sec (581.45 KB/sec)
The average download speed for actually downloading the large file 2M (2048KB) is as follows:
2048KB/3.59 second 570.47 KB/second
Therefore, according to the technical scheme, the average downloading speed of the large file can be calculated:
0.6 × 581.45+ (1-0.6) × 570.47 ═ 577.06 KB/sec
Although the present invention has been described in detail with reference to the preferred embodiments, the present invention is not limited to the above embodiments, and the scope of protection is not limited thereto. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (4)
1. A method suitable for detecting the download speed of a large file of a CDN node is characterized by comprising a detection task management submodule, a network communication submodule, a network quality detection submodule, a communication interface submodule, a network quality analysis processing submodule and a communication bus, wherein,
the network quality analysis and processing sub-module is used for completing mutual communication through a communication bus, signal transmission is carried out between the modules through a TCP protocol, the communication interface sub-module is arranged on the network communication sub-module and carries out data transmission through the communication bus, specifically, the detection task management sub-module sends a detection task to the network quality detection sub-module through the TCP protocol, and the network quality detection sub-module executes the detection task after receiving the detection task;
the communication interface sub-module communicates with each CDN node through a TCP protocol;
after the detection task is completed, the network quality detection submodule receives the detection result and the network service quality data through the communication interface submodule and feeds the detection result back to the network quality analysis processing submodule, and the module comprehensively analyzes the network quality;
the detection task management submodule comprises: managing the IP address of the node, establishing the corresponding relation between the IP address and the region and the operator, and setting the detection frequency by the detection task management submodule;
the network communication sub-module: the network quality detection submodule carries out data communication with each node server through the communication interface submodule and the network communication submodule, and the data communication comprises sending a data request and returning a data result; meanwhile, the network communication sub-module is also communicated with the monitoring system;
a network quality detection submodule: the sub-module detects the network quality of each node, simulates a real access scene, namely, a user of the internet acquires the content on the CDN node to detect the service quality of the network, sends an access request to each node and returns network service quality data, namely the downloading speed of various files, and the network quality detection sub-module transmits the network quality data to the network quality analysis processing sub-module for the analysis of the network quality analysis processing sub-module;
the communication interface sub-module: the data communication is carried out among the modules through the interfaces; the data in each module are transmitted mutually through the network communication sub-module; and data butt joint between each module and each node;
the communication bus is a public communication trunk line for transmitting information among various functional components of the computer, and is a transmission line bundle consisting of wires and used for transmitting data among the components;
a network quality analysis processing submodule: the sub-module comprehensively analyzes the network quality, and the analysis method is that a mathematical algorithm is used for simulating the downloading of a large file to obtain the effect of evaluating the downloading of the large file and transmitting the analysis processing result to a related monitoring system through the network communication sub-module;
the effect of evaluating the downloading of the large file is obtained by a mathematical operation algorithm, the actual speed obtained by downloading the large file is weighted with another simulated speed, and the simulated speed is accumulated by the number of bytes flowing out from the corresponding edge cache node in the current round of detection and is divided by the time-consuming accumulation of all the detected corresponding edge cache nodes in the current round of detection;
the mathematical operation algorithm is expressed by a mathematical formula as follows:
s＝k1×s1+(1-k1)×s2
s2＝b÷t，
wherein: s is the resulting evaluation speed; s1 is the simulation speed, bi is the number of bytes downloaded for detection from the ith time to the edge cache node, and ti is the detection time consumption from the ith time to the edge cache node; s2 is the actual speed of the large file detection task, b is the number of bytes downloaded from the edge cache node in the current detection, and t is the detection time consumed from the current time to the edge cache node; k1 is a weight and k1 is defined as a value of 0.6.
2. The method for detecting the download speed of the large file at the CDN node as recited in claim 1, wherein the probe task management sub-module manages a probe task and sets IP address information of a node to be detected, specifically, establishes a correspondence between each node information and an IP address, sets an IP address and a name of the node in a matching manner, maps the IP address and the name to an individual IP address, that is, establishes a correspondence, and represents the IP address with the name set in the matching manner.
3. The method for detecting the download speed of the large file at the CDN node as recited in claim 1, wherein the network quality detection sub-module is responsible for detecting network quality, and detecting the network quality of each node, specifically simulating a download process of a file for an edge cache node, that is, calculating an average download speed of each type of file at the node according to the size of the file and the time taken for downloading.
4. The method for detecting the downloading speed of the large file at the CDN node as recited in claim 3, wherein the simulating the downloading process of the file means simulating the downloading of the large file by a mathematical algorithm to evaluate the downloading effect of the large file, and specifically includes:
when a monitoring task is set, a special field is set to define the task type, and when the value of the special field is N, the task is a common task; the value of the field is Y, which indicates that the file is of a large file downloading type and needs to be specially processed; the special processing method is that when the task is detected, the task is stopped when the byte number with a specific size is downloaded at most; and when all tasks are detected, evaluating the downloading effect of the large file.
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