CN112671612B - Network bandwidth detection method based on CDN network technology - Google Patents
Network bandwidth detection method based on CDN network technology Download PDFInfo
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Abstract
The invention discloses a network bandwidth detection method based on a CDN network technology, which comprises the following steps: uploading prediction data: the method comprises the steps that a data packet for detecting the network broadband is manufactured according to actual conditions, the data packet is uploaded to a plurality of devices to be detected and a CDN server in advance, the devices are all network devices, the CDN server is arranged between any network transmission lines of the devices, the CDN server monitors the network transmission lines in real time, the data packet needs to be detected in real time in the uploading process, and the integrity and the stability of the data packet are detected; the invention firstly produces a special data packet before detection, then carries out preliminary detection on the broadband condition of each network device through the data packet to form a corresponding detection result and a database, and when in formal detection, the database can be used as a standard reference to find out abnormal conditions in time, reduce the interference of the abnormal data on the network broadband detection and enhance the accuracy of the broadband detection.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a network bandwidth detection method based on a CDN network technology.
Background
The CDN network technology, namely a content delivery network, can solve the crowded condition of the Internet network and improve the response speed of a user for accessing a website, and can be applied to network bandwidth detection, but the conventional network bandwidth detection method does not use special data for pre-detection, cannot form approximate network bandwidth condition data before detection, and once the initial network data has large abnormal fluctuation and is difficult to find in time, the accuracy of network bandwidth detection can be seriously influenced, so that the network bandwidth detection method based on the CDN network technology is provided for solving the problem.
Disclosure of Invention
The invention aims to provide a network bandwidth detection method based on a CDN network technology, which solves the problems that the prior network bandwidth detection method does not use special data for pre-detection, can not form rough network bandwidth condition data before detection, and once the initial network data has larger abnormal fluctuation and is difficult to find in time, the accuracy of network bandwidth detection is seriously influenced.
In order to achieve the purpose, the invention provides the following technical scheme: a network bandwidth detection method based on CDN network technology comprises the following steps:
step 1: uploading prediction data: the method comprises the steps that a data packet used for detecting the network bandwidth is manufactured according to actual conditions, the data packet is uploaded to a plurality of devices needing to be detected and a CDN server in advance, the devices are all network devices, the CDN server is arranged between any network transmission lines of the devices, the CDN server monitors the network transmission lines in real time, the data packet needs to be detected in real time in the uploading process, and the integrity and the stability of the data packet are detected;
step 2: and (3) testing a data packet: during pre-monitoring, no limitation is needed to the network to be monitored, and a plurality of groups of CDN servers with different functions are arranged among network devices to be detected, so that a CDN network system is constructed, and a stored data packet is transmitted to another device through any device;
and step 3: bandwidth pre-detection: selecting different CDN servers to monitor the transmitted data packets, obtaining initial bandwidth transmitted by the data packets, comparing and detecting the transmitted data packets with the data packets stored in advance to obtain initial bandwidth quality, continuously recording data flow within 1 second for 5 times by the CDN servers, and calculating the current bandwidth average value recorded each time according to the data flow of the 5 times;
and 4, step 4: storing a database: the method comprises the steps of high-frequency forward packet testing and bandwidth pre-detection for multiple times to obtain multiple groups of pre-detection data so as to form a pre-detection database, calculating to obtain an average value, a highest value, a lowest value and a value distribution interval of the pre-detection database, and respectively storing the obtained pre-detection database and information of the average value, the highest value, the lowest value and the value distribution interval of the pre-detection database in a standard database and a dynamic database;
and 5: and (3) transmission detection: formally starting operation and transmission data among various devices, sampling data streams on a network transmission line at random intervals by using a random sampling algorithm through CDN servers with different functions to obtain bandwidth data of the sampled data, processing and analyzing the data to calculate bandwidth quality information, recording the bandwidth quality information into a dynamic database in real time, and calculating a current bandwidth value through the latest ten times of sampled data; calculating the current maximum bandwidth value through the maximum sampling data of the last ten times;
step 6: obtaining the bandwidth: and (3) comparing and analyzing the bandwidth data obtained in the step (5) with the bandwidth data in the standard database, detecting whether the obtained bandwidth data is in the bandwidth data range of the standard database, if so, recalculating the bandwidth data in the dynamic database, synchronously updating the calculation result into the standard database, if not, sending an alarm for abnormal data, checking, and then carrying out bandwidth correction on the bandwidth information in the standard database to obtain accurate bandwidth information, wherein the bandwidth data stored in the standard database is displayed in real time through a special display device, and a broken line graph is generated in real time to display the bandwidth trend.
Preferably, in step 3, the transmission delay and the packet loss rate information are obtained in the data packet transmission process, and the transmission delay and the packet loss rate information are updated in real time.
Preferably, in step 3, Pn transmission delay data monitored by the CDN servers are obtained, Pm transmission delay data with the smallest delay are selected from the Pn transmission delay data, bandwidth data are obtained from CDN servers corresponding to the Pm transmission delay data with the smallest delay, statistics is performed on the obtained bandwidth data, and an initial bandwidth quality is calculated; calculating the formula: the initial bandwidth quality is (Sp 1+ Sp2+ … … + Spn)/n, Spn indicating the bandwidth data of the nth second.
Preferably, in step 4, the data in the pre-detection database is detected by the CDN server within five minutes, the standard database and the dynamic database are stored in the CDN server and a dedicated storage space, and data of the standard database and the dynamic database change synchronously.
Compared with the prior art, the invention has the beneficial effects that: the invention firstly makes a special data packet before detection, then carries out preliminary detection on the bandwidth condition of each network device through the data packet to form a corresponding detection result and a database, and when in formal detection, the database can be used as a standard reference to find abnormal conditions in time, reduce the interference of the abnormal data on the network bandwidth detection and enhance the accuracy of the bandwidth detection.
Detailed Description
The present invention will now be described in more detail by way of examples, which are given by way of illustration only and are not intended to limit the scope of the present invention in any way.
The invention provides a technical scheme that: a network bandwidth detection method based on CDN network technology comprises the following steps:
step 1: uploading prediction data: the method comprises the steps that a data packet used for detecting the network bandwidth is manufactured according to actual conditions, the data packet is uploaded to a plurality of devices needing to be detected and a CDN server in advance, the devices are all network devices, the CDN server is arranged between any network transmission lines of the devices, the CDN server monitors the network transmission lines in real time, the data packet needs to be detected in real time in the uploading process, and the integrity and the stability of the data packet are detected;
step 2: and (3) testing a data packet: during pre-monitoring, no limitation is needed to the network to be monitored, and a plurality of groups of CDN servers with different functions are arranged among network devices to be detected, so that a CDN network system is constructed, and a stored data packet is transmitted to another device through any device;
and step 3: bandwidth pre-detection: selecting different CDN servers to monitor the transmitted data packets, obtaining initial bandwidth transmitted by the data packets, comparing and detecting the transmitted data packets with the data packets stored in advance to obtain initial bandwidth quality, continuously recording data flow within 1 second for 5 times by the CDN servers, and calculating the current bandwidth average value recorded each time according to the data flow of the 5 times;
and 4, step 4: storing a database: the method comprises the steps of high-frequency forward packet testing and bandwidth pre-detection for multiple times to obtain multiple groups of pre-detection data so as to form a pre-detection database, calculating to obtain an average value, a highest value, a lowest value and a value distribution interval of the pre-detection database, and respectively storing the obtained pre-detection database and information of the average value, the highest value, the lowest value and the value distribution interval of the pre-detection database in a standard database and a dynamic database;
and 5: and (3) transmission detection: formally starting operation and transmission data among various devices, sampling data streams on a network transmission line at random intervals by using a random sampling algorithm through CDN servers with different functions to obtain bandwidth data of the sampled data, processing and analyzing the data to calculate bandwidth quality information, recording the bandwidth quality information into a dynamic database in real time, and calculating a current bandwidth value through the latest ten times of sampled data; calculating the current maximum bandwidth value through the maximum sampling data of the last ten times;
step 6: obtaining the bandwidth: and (3) comparing and analyzing the bandwidth data obtained in the step (5) with the bandwidth data in the standard database, detecting whether the obtained bandwidth data is in the bandwidth data range of the standard database, if so, recalculating the bandwidth data in the dynamic database, synchronously updating the calculation result into the standard database, if not, sending an alarm for abnormal data, checking, and then carrying out bandwidth correction on the bandwidth information in the standard database to obtain accurate bandwidth information, wherein the bandwidth data stored in the standard database is displayed in real time through a special display device, and a broken line graph is generated in real time to display the bandwidth trend.
The first embodiment is as follows:
uploading prediction data: the method comprises the steps that a data packet used for detecting the network bandwidth is manufactured according to actual conditions, the data packet is uploaded to a plurality of devices needing to be detected and a CDN server in advance, the devices are all network devices, the CDN server is arranged between any network transmission lines of the devices, the CDN server monitors the network transmission lines in real time, the data packet needs to be detected in real time in the uploading process, and the integrity and the stability of the data packet are detected; and (3) testing a data packet: during pre-monitoring, no limitation is needed to the network to be monitored, and a plurality of groups of CDN servers with different functions are arranged among network devices to be detected, so that a CDN network system is constructed, and a stored data packet is transmitted to another device through any device; bandwidth pre-detection: selecting different CDN servers to monitor the transmitted data packets, obtaining initial bandwidth transmitted by the data packets, comparing and detecting the transmitted data packets with the data packets stored in advance to obtain initial bandwidth quality, continuously recording data flow within 1 second for 5 times by the CDN servers, and calculating the current bandwidth average value recorded each time according to the data flow of the 5 times; storing a database: the method comprises the steps of high-frequency forward packet testing and bandwidth pre-detection for multiple times to obtain multiple groups of pre-detection data so as to form a pre-detection database, calculating to obtain an average value, a highest value, a lowest value and a value distribution interval of the pre-detection database, and respectively storing the obtained pre-detection database and information of the average value, the highest value, the lowest value and the value distribution interval of the pre-detection database in a standard database and a dynamic database; and (3) transmission detection: formally starting operation and transmission data among various devices, sampling data streams on a network transmission line at random intervals by using a random sampling algorithm through CDN servers with different functions to obtain bandwidth data of the sampled data, processing and analyzing the data to calculate bandwidth quality information, recording the bandwidth quality information into a dynamic database in real time, and calculating a current bandwidth value through the latest ten times of sampled data; calculating the current maximum bandwidth value through the maximum sampling data of the last ten times; obtaining the bandwidth: and (3) comparing and analyzing the bandwidth data obtained in the step (5) with the bandwidth data in the standard database, detecting whether the obtained bandwidth data is in the bandwidth data range of the standard database, if so, recalculating the bandwidth data in the dynamic database, synchronously updating the calculation result into the standard database, if not, sending an alarm for abnormal data, checking, and then carrying out bandwidth correction on the bandwidth information in the standard database to obtain accurate bandwidth information, wherein the bandwidth data stored in the standard database is displayed in real time through a special display device, and a broken line graph is generated in real time to display the bandwidth trend.
Example two:
in the first embodiment, the following steps are added:
in step 3, the transmission delay and packet loss rate information are obtained in the data packet transmission process, and the transmission delay and packet loss rate information are updated in real time, so that the data can be effectively calculated, and the calculation accuracy is provided.
Uploading prediction data: the method comprises the steps that a data packet used for detecting the network bandwidth is manufactured according to actual conditions, the data packet is uploaded to a plurality of devices needing to be detected and a CDN server in advance, the devices are all network devices, the CDN server is arranged between any network transmission lines of the devices, the CDN server monitors the network transmission lines in real time, the data packet needs to be detected in real time in the uploading process, and the integrity and the stability of the data packet are detected; and (3) testing a data packet: during pre-monitoring, no limitation is needed to the network to be monitored, and a plurality of groups of CDN servers with different functions are arranged among network devices to be detected, so that a CDN network system is constructed, and a stored data packet is transmitted to another device through any device; bandwidth pre-detection: selecting different CDN servers to monitor the transmitted data packets, obtaining initial bandwidth transmitted by the data packets, comparing and detecting the transmitted data packets with the data packets stored in advance to obtain initial bandwidth quality, continuously recording data flow within 1 second for 5 times by the CDN servers, and calculating the current bandwidth average value recorded each time according to the data flow of the 5 times; storing a database: the method comprises the steps of high-frequency forward packet testing and bandwidth pre-detection for multiple times to obtain multiple groups of pre-detection data so as to form a pre-detection database, calculating to obtain an average value, a highest value, a lowest value and a value distribution interval of the pre-detection database, and respectively storing the obtained pre-detection database and information of the average value, the highest value, the lowest value and the value distribution interval of the pre-detection database in a standard database and a dynamic database; and (3) transmission detection: formally starting operation and transmission data among various devices, sampling data streams on a network transmission line at random intervals by using a random sampling algorithm through CDN servers with different functions to obtain bandwidth data of the sampled data, processing and analyzing the data to calculate bandwidth quality information, recording the bandwidth quality information into a dynamic database in real time, and calculating a current bandwidth value through the latest ten times of sampled data; calculating the current maximum bandwidth value through the maximum sampling data of the last ten times; obtaining the bandwidth: and (3) comparing and analyzing the bandwidth data obtained in the step (5) with the bandwidth data in the standard database, detecting whether the obtained bandwidth data is in the bandwidth data range of the standard database, if so, recalculating the bandwidth data in the dynamic database, synchronously updating the calculation result into the standard database, if not, sending an alarm for abnormal data, checking, and then carrying out bandwidth correction on the bandwidth information in the standard database to obtain accurate bandwidth information, wherein the bandwidth data stored in the standard database is displayed in real time through a special display device, and a broken line graph is generated in real time to display the bandwidth trend.
Example three:
in the second embodiment, the following steps are added:
in step 3, Pn transmission delay data monitored by a plurality of CDN servers are obtained, Pm transmission delay data with the smallest delay are selected from the Pn transmission delay data, bandwidth data are obtained from CDN servers corresponding to the Pm transmission delay data with the smallest delay, the obtained bandwidth data are counted, and initial bandwidth quality is calculated; calculating the formula: the initial bandwidth quality is (Sp 1+ Sp2+ … … + Spn)/n, Spn represents the bandwidth data of the nth second, and the data can be effectively calculated, so that the calculation accuracy is provided.
Uploading prediction data: the method comprises the steps that a data packet used for detecting the network bandwidth is manufactured according to actual conditions, the data packet is uploaded to a plurality of devices needing to be detected and a CDN server in advance, the devices are all network devices, the CDN server is arranged between any network transmission lines of the devices, the CDN server monitors the network transmission lines in real time, the data packet needs to be detected in real time in the uploading process, and the integrity and the stability of the data packet are detected; and (3) testing a data packet: during pre-monitoring, no limitation is needed to the network to be monitored, and a plurality of groups of CDN servers with different functions are arranged among network devices to be detected, so that a CDN network system is constructed, and a stored data packet is transmitted to another device through any device; bandwidth pre-detection: selecting different CDN servers to monitor the transmitted data packets, obtaining initial bandwidth transmitted by the data packets, comparing and detecting the transmitted data packets with the data packets stored in advance to obtain initial bandwidth quality, continuously recording data flow within 1 second for 5 times by the CDN servers, and calculating the current bandwidth average value recorded each time according to the data flow of the 5 times; storing a database: the method comprises the steps of high-frequency forward packet testing and bandwidth pre-detection for multiple times to obtain multiple groups of pre-detection data so as to form a pre-detection database, calculating to obtain an average value, a highest value, a lowest value and a value distribution interval of the pre-detection database, and respectively storing the obtained pre-detection database and information of the average value, the highest value, the lowest value and the value distribution interval of the pre-detection database in a standard database and a dynamic database; and (3) transmission detection: formally starting operation and transmission data among various devices, sampling data streams on a network transmission line at random intervals by using a random sampling algorithm through CDN servers with different functions to obtain bandwidth data of the sampled data, processing and analyzing the data to calculate bandwidth quality information, recording the bandwidth quality information into a dynamic database in real time, and calculating a current bandwidth value through the latest ten times of sampled data; calculating the current maximum bandwidth value through the maximum sampling data of the last ten times; obtaining the bandwidth: and (3) comparing and analyzing the bandwidth data obtained in the step (5) with the bandwidth data in the standard database, detecting whether the obtained bandwidth data is in the bandwidth data range of the standard database, if so, recalculating the bandwidth data in the dynamic database, synchronously updating the calculation result into the standard database, if not, sending an alarm for abnormal data, checking, and then carrying out bandwidth correction on the bandwidth information in the standard database to obtain accurate bandwidth information, wherein the bandwidth data stored in the standard database is displayed in real time through a special display device, and a broken line graph is generated in real time to display the bandwidth trend.
Example four:
in the third embodiment, the following steps are added:
in step 4, the data in the pre-detection database is monitored by the CDN server within five minutes, the standard database and the dynamic database are stored in the CDN server and the special storage space, and the data in the standard database and the dynamic database change synchronously, so that delay in data transmission is reduced, and real-time performance of result display is improved.
Uploading prediction data: the method comprises the steps that a data packet used for detecting the network bandwidth is manufactured according to actual conditions, the data packet is uploaded to a plurality of devices needing to be detected and a CDN server in advance, the devices are all network devices, the CDN server is arranged between any network transmission lines of the devices, the CDN server monitors the network transmission lines in real time, the data packet needs to be detected in real time in the uploading process, and the integrity and the stability of the data packet are detected; and (3) testing a data packet: during pre-monitoring, no limitation is needed to the network to be monitored, and a plurality of groups of CDN servers with different functions are arranged among network devices to be detected, so that a CDN network system is constructed, and a stored data packet is transmitted to another device through any device; bandwidth pre-detection: selecting different CDN servers to monitor the transmitted data packets, obtaining initial bandwidth transmitted by the data packets, comparing and detecting the transmitted data packets with the data packets stored in advance to obtain initial bandwidth quality, continuously recording data flow within 1 second for 5 times by the CDN servers, and calculating the current bandwidth average value recorded each time according to the data flow of the 5 times; storing a database: the method comprises the steps of high-frequency forward packet testing and bandwidth pre-detection for multiple times to obtain multiple groups of pre-detection data so as to form a pre-detection database, calculating to obtain an average value, a highest value, a lowest value and a value distribution interval of the pre-detection database, and respectively storing the obtained pre-detection database and information of the average value, the highest value, the lowest value and the value distribution interval of the pre-detection database in a standard database and a dynamic database; and (3) transmission detection: formally starting operation and transmission data among various devices, sampling data streams on a network transmission line at random intervals by using a random sampling algorithm through CDN servers with different functions to obtain bandwidth data of the sampled data, processing and analyzing the data to calculate bandwidth quality information, recording the bandwidth quality information into a dynamic database in real time, and calculating a current bandwidth value through the latest ten times of sampled data; calculating the current maximum bandwidth value through the maximum sampling data of the last ten times; obtaining the bandwidth: and (3) comparing and analyzing the bandwidth data obtained in the step (5) with the bandwidth data in the standard database, detecting whether the obtained bandwidth data is in the bandwidth data range of the standard database, if so, recalculating the bandwidth data in the dynamic database, synchronously updating the calculation result into the standard database, if not, sending an alarm for abnormal data, checking, and then carrying out bandwidth correction on the bandwidth information in the standard database to obtain accurate bandwidth information, wherein the bandwidth data stored in the standard database is displayed in real time through a special display device, and a broken line graph is generated in real time to display the bandwidth trend.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (4)
1. A network bandwidth detection method based on CDN network technology is characterized in that: the method comprises the following steps:
step 1: uploading prediction data: the method comprises the steps that a data packet used for detecting the network bandwidth is manufactured according to actual conditions, the data packet is uploaded to a plurality of devices needing to be detected and a CDN server in advance, the devices are all network devices, the CDN server is arranged between any network transmission lines of the devices, the CDN server monitors the network transmission lines in real time, the data packet needs to be detected in real time in the uploading process, and the integrity and the stability of the data packet are detected;
step 2: and (3) testing a data packet: during pre-monitoring, no limitation is required to be carried out on a network to be monitored, and a plurality of groups of CDN servers with different functions are arranged among network devices to be detected and are used for constructing a CDN network system and transmitting a stored data packet to another device through any device;
and step 3: bandwidth pre-detection: selecting different CDN servers to monitor the transmitted data packets, obtaining initial bandwidth transmitted by the data packets, comparing and detecting the transmitted data packets with the data packets stored in advance to obtain initial bandwidth quality, continuously recording data flow within 1 second for 5 times by the CDN servers, and calculating the current bandwidth average value recorded each time according to the data flow of the 5 times;
and 4, step 4: storing a database: the method comprises the steps of high-frequency complex data packet testing and bandwidth pre-detection for multiple times, so that multiple groups of pre-detection data are obtained, a pre-detection database is formed, the average value, the highest value, the lowest value and the value distribution interval of the pre-detection database are obtained through calculation, and the obtained pre-detection database and the information of the average value, the highest value, the lowest value and the value distribution interval of the pre-detection database are stored in a standard database and a dynamic database respectively;
and 5: and (3) transmission detection: formally starting operation and transmission data among various devices, sampling data streams on a network transmission line at random intervals by using a random sampling algorithm through CDN servers with different functions to obtain bandwidth data of the sampled data, processing and analyzing the data to calculate bandwidth quality information, recording the bandwidth quality information into a dynamic database in real time, and calculating a current bandwidth value through the latest ten times of sampled data; calculating the current maximum bandwidth value through the maximum sampling data of the last ten times;
step 6: obtaining the bandwidth: and (3) comparing and analyzing the bandwidth data obtained in the step (5) with the bandwidth data in the standard database, detecting whether the obtained bandwidth data is in the bandwidth data range of the standard database, if so, recalculating the bandwidth data in the dynamic database, synchronously updating the calculation result into the standard database, if not, sending an alarm for abnormal data, checking, and then carrying out bandwidth correction on the bandwidth information in the standard database to obtain accurate bandwidth information, wherein the bandwidth data stored in the standard database is displayed in real time through a special display device, and a broken line graph is generated in real time to display the bandwidth trend.
2. The method for detecting network bandwidth based on CDN network technology as recited in claim 1, wherein: in step 3, the transmission delay and the packet loss rate information are obtained in the data packet transmission process, and the transmission delay and the packet loss rate information are updated in real time.
3. The method for detecting network bandwidth based on CDN network technology as recited in claim 1, wherein: in step 3, Pn transmission delay data monitored by a plurality of CDN servers are obtained, Pm transmission delay data with the smallest delay are selected from the Pn transmission delay data, bandwidth data are obtained from CDN servers corresponding to the Pm transmission delay data with the smallest delay, the obtained bandwidth data are counted, and initial bandwidth quality is calculated; calculating the formula: the initial bandwidth quality is (Sp 1+ Sp2+ … … + Spn)/n, Spn indicating the bandwidth data of the nth second.
4. The method for detecting network bandwidth based on CDN network technology as recited in claim 1, wherein: in step 4, the data in the pre-detection database is monitored by the CDN server within five minutes, the standard database and the dynamic database are stored in the CDN server and a special storage space, and the data of the standard database and the dynamic database change synchronously.
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| CN114430361B (en) * | 2021-12-30 | 2024-01-05 | 天翼云科技有限公司 | Abnormal bandwidth detection method and device, electronic equipment and storage medium |
| CN115174429B (en) * | 2022-05-25 | 2024-04-09 | 深信服科技股份有限公司 | Network bandwidth detection method, device, system, equipment and storage medium |
| CN115333862B (en) * | 2022-10-13 | 2023-01-24 | 山东省人民政府机关政务保障中心 | Network information security management system based on big data |
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| CN108768738A (en) * | 2018-06-07 | 2018-11-06 | 成都沃特斯科技有限公司 | Quick self-adapted network bandwidth detection method based on CDN network technology |
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