CN110740065B - Method, device and system for identifying degradation fault point - Google Patents
Method, device and system for identifying degradation fault point Download PDFInfo
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
Abstract
The method comprises the steps of acquiring real-time Traceroute data of poor quality links through network quality probes deployed nationwide, determining a first province according to IP address information of dial testing sources of the poor quality links, and determining a degradation fault point according to the real-time Traceroute data and historical Traceroute data of all node-to-path in the first province, so that accurate identification of network degradation and accurate positioning of degradation occurrence positions are achieved, and operation and maintenance management of a large-scale network is facilitated.
Description
Technical Field
The present application relates to the field of network detection technologies, and in particular, to a method, an apparatus, and a system for identifying a degradation fault point.
Background
With the continuous development of communication technology, the network capacity is continuously enlarged, and the requirements of various communication services on the network communication quality are higher and higher. Therefore, the method and the device can grasp the communication quality of the network and locate the fault point with poor network quality in time, and have very important significance for network operator to manage the network, maintain the fault and expand the service.
A common method for measuring the communication quality of a network is by using network delay, which refers to the time required for a message or packet to be transmitted from one end of the network to another. In the prior art, a network manager usually uses Ping to measure network delay.
However, the method of the prior art is difficult to locate the fault point causing the network delay, and therefore, the method of the prior art is not favorable for the operation and maintenance management of a large-scale network.
Disclosure of Invention
The application provides a method, a device and a system for identifying a degradation fault point, which are used for solving the problem that operation and maintenance management of a large-scale network is inconvenient due to the fact that the fault point causing network delay is difficult to locate in the prior art.
In a first aspect, the present application provides a method for identifying a degradation fault point, including:
acquiring real-time Traceroute data of a poor link through network quality probes deployed nationwide; the Traceroute data comprises IP address information of all nodes from a dial testing source to a destination end and time delay information from the dial testing source to each node;
determining a first province according to the IP address information of the dial testing source of each poor quality link; the first province is a province in which deterioration occurs;
and determining the degradation fault point according to the real-time Traceroute data and the historical Traceroute data of all the nodes in the first province to the path.
Optionally, the determining a first province according to the IP address information of the dial testing source of each poor link includes:
determining the attribution province of each poor quality link according to the IP address information of the dial testing source of the poor quality link;
and analyzing the poor quality link belonging to each province to determine the first province.
Optionally, the analyzing the poor quality link belonging to each province to determine the first province includes:
determining the quality difference link number contained in each province;
determining the maximum value of the number of the poor quality links according to the number of the poor quality links contained in each province;
and determining the province corresponding to the maximum value of the quality difference link number as the first province.
Optionally, before determining the degraded fault point according to the real-time Traceroute data and the historical Traceroute data of all nodes in the first province for the path, the method further includes:
splitting the path in the first province to obtain a node pair path;
acquiring real-time Traceroute data and historical Traceroute data of each node for the path from a Traceroute database; and the Traceroute database is used for storing the Traceroute data acquired by the network quality probe.
Optionally, the determining the degradation fault point according to the real-time Traceroute data and the historical Traceroute data of all nodes in the first province for the path includes:
determining a quality difference node pair path on each path according to the real-time Traceroute data and the historical Traceroute data of the node pair path;
determining the number of paths influenced by each quality difference node in the quality difference node path pair; the quality difference node is a corresponding node contained in the quality difference node pair path;
and determining the degradation fault point according to a network element information table.
Optionally, the determining the bad quality node pair path on each path according to the real-time Traceroute data and the historical Traceroute data of the node pair path includes:
determining the historical average time delay of each node pair path according to the historical Traceroute data of each node pair path;
determining the time delay increase multiple of each node pair path according to the historical average time delay of each node pair path and the current time delay in the corresponding real-time Traceroute data;
and determining the node pair path corresponding to the maximum value of the time delay increase multiple on each path as a quality difference node pair path on the path.
Optionally, the determining the degradation fault point according to the network element information table includes:
according to the network element information table, combining the quality difference nodes according to the network elements, and determining the number of paths influenced by each network element;
and determining the network element with the most number of influenced paths as a degradation fault point.
Optionally, the acquiring real-time Traceroute data of the poor link through the network quality probe deployed nationwide includes:
determining the quality difference link by screening the acquired Traceroute data;
and initiating a real-time dial testing task to the poor quality link, and acquiring real-time Traceroute data of the poor quality link.
Optionally, the screening the acquired Traceroute data to determine the poor quality link includes:
acquiring time delay from a dial testing source to a destination end of each link according to the acquired Traceroute data;
and judging whether the time delay from the dialing test source to the destination of each link is greater than a preset threshold, and if so, determining that the link corresponding to the time delay is a poor link.
In a second aspect, the present application provides an apparatus for identifying a degradation fault point, comprising:
the data acquisition module is used for acquiring real-time Traceroute data of the poor link through network quality probes deployed nationwide; the Traceroute data comprises IP address information of all nodes from a dial testing source to a destination end and time delay information from the dial testing source to each node;
the first determining module is used for determining a first province according to the IP address information of the dial testing source of each poor quality link; the first province is a province in which deterioration occurs;
and the second determining module is used for determining the degradation fault point according to the real-time Traceroute data and the historical Traceroute data of all the node pairs in the first province for the path.
Optionally, the first determining module is specifically configured to:
determining the attribution province of each poor quality link according to the IP address information of the dial testing source of the poor quality link;
and analyzing the poor quality link belonging to each province to determine the first province.
Optionally, the first determining module is specifically configured to:
determining the quality difference link number contained in each province;
determining the maximum value of the number of the poor quality links according to the number of the poor quality links contained in each province;
and determining the province corresponding to the maximum value of the quality difference link number as the first province.
Optionally, the identification apparatus further comprises: a processing module;
the processing module is used for splitting the path in the first province to obtain a node pair path;
the data acquisition module is also used for acquiring real-time Traceroute data and historical Traceroute data of each node for the path from the Traceroute database; and the Traceroute database is used for storing the Traceroute data acquired by the network quality probe.
Optionally, the second determining module is specifically configured to:
determining a quality difference node pair path on each path according to the real-time Traceroute data and the historical Traceroute data of the node pair path;
determining the number of paths influenced by the quality difference nodes on each quality difference node in the paths; the quality difference node is a corresponding node contained in the quality difference node pair path;
and determining the degradation fault point according to a network element information table.
Optionally, the second determining module is specifically configured to:
determining the historical average time delay of each node pair path according to the historical Traceroute data of each node pair path;
determining the time delay increase multiple of each node pair path according to the historical average time delay of each node pair path and the current time delay in the corresponding real-time Traceroute data;
and determining the node pair path corresponding to the maximum value of the time delay increase multiple on each path as a quality difference node pair path on the path.
Optionally, the second determining module is specifically configured to:
according to the network element information table, combining the quality difference nodes according to the network elements, and determining the number of paths influenced by each network element;
and determining the network element with the most influenced paths as the degradation fault point.
Optionally, the data obtaining module is specifically configured to:
determining the quality difference link by screening the acquired Traceroute data;
and initiating a real-time dial testing task to the poor quality link, and acquiring real-time Traceroute data of the poor quality link.
Optionally, the data obtaining module is specifically configured to:
acquiring time delay from a dial testing source to a destination end of each link according to the acquired Traceroute data;
and judging whether the time delay from the dialing test source to the destination of each link is greater than a preset threshold, and if so, determining the link corresponding to the time delay as the poor link.
In a third aspect, the present application provides a system for identifying a degradation fault point, including: a network quality probe and an identification device as described above.
The application provides a method, a device and a system for identifying degradation fault points, which are used for acquiring real-time Traceroute data of a poor link through network quality probes deployed nationwide, determining a first province according to the IP address information of the dial testing source of each poor link, determining a degradation fault point according to the real-time Traceroute data and the historical Traceroute data of all nodes in the first province to a path, wherein, the Traceroute data comprises IP address information of all nodes from the dial-up source to the destination and time delay information of each node, the first province is the province of deterioration occurrence, by gradually reducing the analysis range of deterioration, and the degradation fault point is determined on the basis of analyzing the real-time Traceroute data and the historical Traceroute data of the path by the same node, so that the accurate identification of the network degradation and the accurate positioning of the occurrence position of the degradation are realized, and the operation and maintenance management of a large-scale network is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the following briefly introduces the drawings needed to be used in the description of the embodiments or the prior art, and obviously, the drawings in the following description are some embodiments of the present invention, and those skilled in the art can obtain other drawings according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of a first embodiment of a method for identifying a degradation fault point according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a second embodiment of a method for identifying a degradation fault point according to the present application;
fig. 3 is a schematic flowchart of a third embodiment of a method for identifying a degradation fault point according to the present application;
fig. 4 is a schematic flowchart of a fourth embodiment of a method for identifying a degradation fault point according to the embodiment of the present application;
fig. 5 is a schematic flowchart of a fifth embodiment of a method for identifying a degradation fault point according to an embodiment of the present application;
fig. 6 is a schematic flowchart of a sixth embodiment of a method for identifying a degradation fault point according to an embodiment of the present application;
fig. 7 is a schematic flowchart of a seventh embodiment of a method for identifying a degradation fault point according to an embodiment of the present application;
fig. 8 is a schematic flowchart of an eighth embodiment of a method for identifying a degradation fault point according to an embodiment of the present application;
fig. 9 is a schematic flowchart of a ninth embodiment of a method for identifying a degradation fault point according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a first embodiment of an apparatus for identifying a degradation fault point according to an embodiment of the present application;
fig. 11 is a schematic structural diagram of a second embodiment of an apparatus for identifying a degradation fault point according to an embodiment of the present application;
fig. 12 is a schematic structural diagram of a first embodiment of a system for identifying a degradation fault point according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
In the prior art, the Ping is used for measuring the network delay, although the quality of the network plays a role in evaluating, the Ping is only a rough measurement method, on one hand, the existing measurement mode cannot sense the delay information between each node pair in a path, and on the other hand, the existing measurement mode does not have a fixed reference standard to judge whether the network is degraded or not according to the delay information, so that whether the network is degraded or not is difficult to analyze and locate the degraded fault point, and further, the operation and maintenance management of a large-scale network and the maintenance of the fault point are inconvenient.
The application provides a method, a device and a system for identifying degradation fault points, which can determine whether a network is degraded or not according to time delay information, and can accurately analyze and accurately locate the degraded fault points when the network is degraded, so that operation and maintenance management can be conveniently carried out on a large-scale network.
Fig. 1 is a schematic flow chart of a first embodiment of a method for identifying a degradation fault point according to an embodiment of the present application, as shown in fig. 1, the method of the present embodiment is executed by an identification device, and the identification method of the present embodiment includes:
s101, acquiring real-time Traceroute data of a poor link through network quality probes deployed nationwide.
In this step, the identification device obtains real-time Traceroute data of the link with poor quality through network quality probes deployed nationwide.
The Traceroute data is acquired by a network quality probe through executing a dial test task, and comprises IP address information of all nodes from a dial test source to a destination end and time delay information of each node.
The poor link refers to a link with poor communication quality, that is, a communication link with a large network delay.
In a network communication system, a node may be embodied as a router or the like.
The identification device periodically accesses the network quality probe to read the real-time Traceroute data of the poor quality link, and can also control the network quality probe to actively report the real-time Traceroute data every time the real-time Traceroute data is acquired, and the inventor does not limit the method.
S102, determining a first province according to the IP address information of the dial testing source of each poor quality link.
In this step, after S101, the identification device determines the first province based on the IP address information of the dial test source of each poor link.
Wherein the first province is a province in which deterioration occurs.
The IP address information of the dial-up source of the poor quality link can be extracted from the real-time Traceroute data of the poor quality link.
The identification device analyzes the IP address information of the dial testing source of each poor quality link, so as to determine the first province. Because the corresponding relation between the IP address information and the province can be easily obtained, the province of the deterioration can be positioned by analyzing the IP address information of the dial testing source of the link with poor quality, thereby reducing the analysis range of the deterioration.
S103, determining the degradation fault point according to the real-time Traceroute data and the historical Traceroute data of all nodes in the first province to the path.
In this step, after S102, the identification device determines a degradation failure point from the real-time Traceroute data and the historical Traceroute data of all nodes in the first province for the path.
Here, the degradation failure point refers to a specific position where degradation occurs.
It will be appreciated that for communication purposes a communication network comprises a plurality of links, each of which comprises a plurality of nodes, wherein any two adjacent nodes form a node pair and any node pair and the path between them form a node pair path.
In the embodiment, the real-time Traceroute data of the poor quality link is acquired through a network quality probe deployed nationwide, the first province is determined according to the IP address information of the dial testing source of each poor quality link, the degradation fault point is determined according to the real-time Traceroute data and the historical Traceroute data of all node pairs in the first province, wherein the Traceroute data comprise the IP address information of all nodes from the dial testing source to the destination and the time delay information of each node, the first province is the province where the degradation occurs, the degradation analysis range is gradually reduced, and the degradation fault point is determined on the basis of analyzing the real-time Traceroute data and the historical Traceroute data of the same node pair path, so that the accurate identification of the degradation of the network and the accurate positioning of the occurrence position of the degradation are realized, and the operation and maintenance management of a large-scale network is facilitated.
Fig. 2 is a schematic flow chart of a second embodiment of the identification method of a degradation fault point provided in the embodiment of the present application, and based on the embodiment shown in fig. 1, as shown in fig. 2, in this embodiment, S102 includes:
and S1021, determining the attribution province of each poor quality link according to the IP address information of the dial testing source of the poor quality link.
In this step, according to the IP address information of the dial testing source of the poor quality link, the identification device determines the attribution province of each poor quality link.
Illustratively, 50 acquired poor quality links are provided, and then the identification device can determine the condition of the province of each poor quality link through retrieval or other analysis methods according to the IP address information of the respective dial test source of the 50 poor quality links, so as to form the corresponding relationship between each poor quality link and the province of the link.
And S1022, analyzing the poor quality link belonging to each province, and determining the first province.
In this step, after S1021, the recognition device performs statistical analysis on the poor quality links belonging to the provinces to determine the first province.
In this embodiment, the attribution province of each poor quality link is determined according to the IP address information of the dial test source of the poor quality link, statistical analysis is performed on the poor quality links belonging to each province, a first province is determined, the attribution province of each poor quality link is analyzed, then statistical analysis is performed on the poor quality links by taking the province as a unit, and the first province is determined, so that the province with network degradation is located.
Fig. 3 is a schematic flow chart of a third embodiment of a method for identifying a degradation fault point according to an embodiment of the present application, and based on the embodiment shown in fig. 2, as shown in fig. 3, in this embodiment, S1022 includes:
s10221, determining the quality difference link number contained in each province.
In this step, the identification device determines the number of poor quality links included in each province.
And taking the provinces as a statistic unit, counting the number of the poor quality links belonging to each province, and determining the number of the poor quality links contained in each province.
S10222, determining the maximum value of the quality difference link number according to the quality difference link number contained in each province.
In this step, after S10221, the identification device determines the maximum value of the number of poor quality links from the number of poor quality links included in each province.
One possible implementation is that the identification device sorts the number of the bad links and screens out the maximum value of the number of the bad links.
S10223, the first province is determined as the province corresponding to the maximum value of the number of bad links.
In this step, after S10223, the identification means determines the province corresponding to the maximum value of the number of poor links as the first province.
For example, if the total number of the poor quality links is 300, wherein 10 links belong to the south of the river, 50 links belong to the Jiangsu province, 40 links belong to the Jilin province, 20 links belong to the Shandong province, 40 links belong to the Shanxi province, 100 links belong to the Guangdong province, 10 links belong to the Hunan province, 30 links belong to Beijing City, and the number of the poor quality links belong to the other provinces, the autonomous region or the straight prefecture City is 0, the identifying device determines the Guangdong province as the first province through statistical analysis.
In this embodiment, the number of the poor quality links included in each province is determined, the maximum value of the number of the poor quality links is determined according to the number of the poor quality links included in each province, and the province corresponding to the maximum value of the number of the poor quality links is determined as the first province, so that the range of the analysis degradation fault point is narrowed, and the positioning speed and accuracy of the degradation fault point are improved.
Fig. 4 is a schematic flow chart of a fourth embodiment of the identification method for a degradation fault point provided in the embodiment of the present application, and on the basis of any one of the foregoing embodiments, as shown in fig. 4, in the embodiment, before S103, the identification method further includes:
s401, splitting the path in the first province to obtain a node pair path.
In this step, the identification device splits all paths in the first province to obtain all node-to-path pairs in the first province.
The node pair path refers to a node pair and a path between node pairs, that is, two adjacent nodes and a path between the two nodes.
It should be noted that nodes in the path of the plurality of node pairs may coincide, that is, may contain the same node therein.
In addition, in this step, only all paths whose geographic locations belong to the first province are split, for example, the first province is guangdong province, the dial measurement source is a link of the city of west safety of the guangdong province, and when the paths are split, only the nodes included in the path of the guangdong province are split, and the node pair paths are obtained.
S402, acquiring real-time Traceroute data and historical Traceroute data of each node for the path from the Traceroute database.
In this step, the identification device obtains the real-time Traceroute data and the historical Traceroute data of each node in the first province for the path from the Traceroute database.
Wherein, the Traceroute database is a database which is specially used for storing Traceroute data collected by the network quality probe.
The real-time Traceroute data refers to Traceroute data acquired by the network quality probe for the analysis.
The historical Traceroute data refers to Traceroute data collected and reported when the network quality probe periodically executes dial testing tasks.
The real-time Traceroute data and the historical Traceroute data are stored in a Traceroute database of the identification device, and the historical Traceroute data collected by all network quality probes deployed nationwide are stored in the Traceroute database.
In this embodiment, the paths in the first province are split to obtain node pair paths, real-time Traceroute data and historical Traceroute data of each node pair path are obtained from a Traceroute database, the Traceroute database is used for storing the Traceroute data acquired by the network quality probe, and then the degraded fault point is determined according to the real-time Traceroute data and the historical Traceroute data of all the node pair paths in the first province, so that the operability of determining the degraded fault point according to the real-time Traceroute data and the historical Traceroute data of the node pair paths in the first province is improved, and the identification and positioning capabilities of the identification device are further improved.
Fig. 5 is a schematic flow chart of a fifth embodiment of a method for identifying a degradation fault point provided in an embodiment of the present application, and on the basis of any one of the foregoing embodiments, as shown in fig. 5, in this embodiment, S103 includes:
and S1031, determining the poor quality node pair paths on each path according to the real-time Traceroute data and the historical Traceroute data of the node pair paths.
In this step, the identification device determines the quality difference node pair path on each path according to the obtained real-time Traceroute data and the historical Traceroute data of the node pair path.
In one possible implementation, the quality-poor node pair paths on each path are determined by comparing the real-time Traceroute data of the node pair paths with the historical Traceroute data thereof, and then comparing all the node pair paths on each path.
S1032, determining the number of the paths influenced by the quality difference nodes on each quality difference node in the paths.
In this step, after S1031, the identifying means determines the number of paths that the quality-difference node affects each of the paths.
And the quality difference node is a corresponding node contained in the path of the quality difference node pair. Since the node-pair path includes any two adjacent nodes and a path therebetween, two nodes are included in one node-pair path, and two nodes included in one quality-difference node-pair path are called quality-difference nodes.
The number of paths affected by each quality difference node is the number of paths passing through the quality difference node.
And S1033, determining a degradation fault point according to the network element information table.
In this step, after S1032, the identifying device determines the degradation failure point according to the network element information table.
The network element information table refers to a corresponding relationship between network elements and nodes, and the network elements and the nodes are in a one-to-many relationship, that is, one network element usually corresponds to a plurality of nodes.
The network element information table may be stored in the database of the identification device in advance, or may be obtained by the identification device from the office when it needs to be used, which is not limited by the inventor.
In a possible implementation manner, the determination of the degradation fault point is performed by comparing the quality difference node with the network element information table.
In the embodiment, the quality difference node pair paths on each path are determined according to the real-time Traceroute data and the historical Traceroute data of the node pair paths, the number of links influenced by each quality difference node in the quality difference node path pair is determined, wherein the quality difference nodes are corresponding nodes contained in the quality difference node pair paths, and the degradation fault points are determined according to the network element information table, so that the accurate positioning of the degradation fault points is realized, and network managers can find problems in time, manage and maintain the problems conveniently.
Fig. 6 is a schematic flow diagram of a sixth embodiment of a method for identifying a degradation fault point provided in an embodiment of the present application, and based on the embodiment shown in fig. 5, as shown in fig. 6, in this embodiment, S1031 includes:
and S10311, determining the historical average time delay of each node pair for the path according to the historical Traceroute data of each node pair for the path.
In this step, the identification device determines the historical average time delay of each node pair path according to the historical Traceroute data of each node pair path.
The historical average time delay refers to an average value of the historical time delay of the node pair path.
The time delay of the node-to-node path refers to the time delay of the node-to-node path, which is used for transmitting a message from one node of the node-to-node path to another node, for example, a certain node-to-node path includes A, B two nodes, the propagation direction of the message is from the node a to the node B, and the time taken for the message to propagate from the node a to the node B is the time delay of the node-to-path.
The Traceroute data includes delay information from a dial measurement source to each node, so that the delay between any two nodes on a link can be easily obtained through the Traceroute data, for example, a certain node-to-path includes A, B two nodes, where the delay from the dial measurement source to the a node in one Traceroute data is 2ms, the delay from the dial measurement source to the B node is 2.14ms, and the delay from the node-to-path is 0.14 ms.
The same node pair path has a plurality of corresponding historical Traceroute data, each piece of historical Traceroute data corresponds to the time delay of the node pair path, and the average value of the time delays of the historical Traceroute data of the node pair path is calculated, so that the average value of the historical time delay of each node pair path, namely the historical average time delay, can be obtained.
And S10312, determining the time delay increase multiple of each node pair path according to the historical average time delay of each node pair path and the current time delay in the corresponding real-time Traceroute data.
In this step, after S10311, the identification device determines the time delay multiple of each node pair for the path according to the historical average time delay of each node pair for the path and the current time delay in the corresponding real-time Traceroute data.
In one possible implementation, the historical average delay is divided by the current delay to determine the delay increase multiple of each node for the path.
The larger the time delay increase multiple is, the more serious the path time delay of the node pair is, and the worse the network communication quality is.
And S10313, determining the node pair path corresponding to the maximum value of the time delay increase multiple on each path as a quality difference node pair path on the path.
In this step, after S10312, the identification device determines the node-pair path corresponding to the maximum value of the delay increase multiple on each path as the quality-difference node-pair path on the path.
In a possible implementation manner, the identifying device counts and sorts the delay increase multiple of the node pair paths of each path, so as to determine a maximum value of the delay increase multiple on each path, and determines the node pair path corresponding to the maximum value as the quality difference node pair path on the path.
The execution result of the step is that a poor quality node pair path is determined on each path.
In the embodiment, the historical average time delay of each node pair path is determined according to the historical Traceroute data of each node pair path, the time delay increase multiple of each node pair path is determined according to the historical average time delay of each node pair path and the current time delay in the corresponding real-time Traceroute data, the node pair path corresponding to the maximum value of the time delay increase multiple on each path is determined as the quality difference node pair path on the path, the quality difference node pair path on each path is determined according to the time delay increase multiple, the degradation fault point is determined according to the quality difference node pair path, and the positioning accuracy of the degradation fault point is improved.
Fig. 7 is a schematic flow chart of a seventh embodiment of a method for identifying a degradation fault point according to an embodiment of the present application, where on the basis of the fifth embodiment or the sixth embodiment, as shown in fig. 7, in the embodiment, S1033 includes:
s10331, according to the network element information table, the poor quality nodes are merged according to the network elements, and the number of paths influenced by each network element is determined.
In this step, the identifying device merges the quality difference nodes according to the network elements according to the network element information table, and determines the number of links affected by each network element.
In the network communication system, the network element may be specifically a base station or the like.
Illustratively, the number of paths affected by the quality node a is 2, the number of paths affected by the quality node B is 3, and both the quality node a and the quality node B are within the radiation range of the network element P, and only two quality nodes, namely the quality node a and the quality node B, exist within the radiation range of the network element P, so that the number of paths affected by the network element P is determined to be 5.
S10332, determining the network element with the most affected paths as a degraded fault point.
In this step, after S10331, the identifying means determines the network element having the largest number of paths affected in the first province as the degraded fault point.
In a possible implementation manner, the identification device counts the number of paths affected by each network element in each province, sorts the network elements according to the number of paths, determines the maximum value of the number of paths affected by each network element, and determines the network element corresponding to the maximum value as a degradation fault point.
In this embodiment, the poor quality nodes are merged according to the network elements according to the network element information table, the number of paths affected by each network element is determined, the network element with the largest number of affected paths is determined as a degraded fault point, and management and maintenance of a large-scale network are facilitated by accurately positioning the degraded fault point.
Fig. 8 is a schematic flow chart of an eighth embodiment of the identification method of a degradation fault point according to the embodiment of the present application, and on the basis of the foregoing embodiments, as shown in fig. 8, in this embodiment, S101 includes:
s1011, screening the obtained Traceroute data to determine a poor quality link.
In this step, the poor quality link is determined by screening the acquired Traceroute data.
It can be understood that, in the embodiment of the present application, the identification of the degradation fault point is performed on the basis of analyzing and judging the data collected by the network quality probes deployed nationwide, and therefore, the network quality probes have the capability of communicating with the identification device, can receive the dial testing task issued by the identification device, and can report the data collected by executing the dial testing task to the identification device.
In a possible implementation manner, the network quality probe periodically executes a dial testing task issued by the identification device, and reports collected dial testing data to the identification device after the dial testing task is executed each time, wherein the dial testing data at least comprises Traceroute data, and the identification device stores the obtained Traceroute data in a Traceroute database.
In one possible implementation, the identification device filters the acquired Traceroute data (acquired from the network quality probe), and the identification device determines the poor quality link.
In another possible implementation manner, the network quality probe screens the obtained Traceroute data (obtained by executing the dial-up test task), and the network quality probe determines the link with poor quality.
And S1012, initiating a real-time dial testing task to the poor quality link, and acquiring real-time Traceroute data of the poor quality link.
In this step, after S1011, a real-time dial testing task is initiated on the poor quality link, and the real-time Traceroute data of the poor quality link is obtained.
In a possible implementation manner, the identification device determines the poor quality link, and issues a dial-up test task (initiated by the identification device) to the network quality probe aiming at the poor quality link, so as to acquire (acquire from the network quality probe) the real-time Traceroute data of the poor quality link.
In another possible implementation manner, the network quality probe determines the poor quality link, and immediately and automatically initiates a dial testing task (initiated by the network quality probe) for the poor quality link, so as to acquire (execute a dial testing task to acquire) the real-time Traceroute data of the poor quality link, and report the acquired real-time Traceroute data of the poor quality link to the identification device.
The execution subject of this embodiment may be an identification device, and may also be a network quality probe, which is determined according to the actual situation, and is not limited here.
In this embodiment, the obtained Traceroute data is screened by the identification device or the network quality probe, the poor quality link is determined, the real-time dial test task is initiated on the poor quality link, the real-time Traceroute data of the poor quality link is obtained, and the scene adaptability of the identification method of the degraded fault point is improved.
Fig. 9 is a schematic flow chart of a ninth embodiment of the method for identifying a degradation fault point according to the embodiment of the present application, where on the basis of the eighth embodiment, as shown in fig. 9, in the embodiment, S1011 includes:
s10111, according to the acquired Traceroute data, acquiring the time delay from the dial testing source to the destination of each link.
In this step, according to the obtained Traceroute data, the time delay from the dial testing source to the destination of each link is obtained.
In a possible implementation manner, the identification device obtains the time delay from the dial testing source to the destination of each link according to the obtained Traceroute data.
In another possible implementation manner, the network quality probe obtains the time delay from the dial testing source to the destination of each link according to the obtained Traceroute data.
S10112, judging whether the time delay from the dial testing source to the destination of each link is larger than a preset threshold value, and if so, determining that the link corresponding to the time delay is a poor link.
In this step, it is determined whether the time delay from the dial test source to the destination of each link is greater than a preset threshold, and if so, the link corresponding to the time delay is determined to be a poor link.
In a possible implementation manner, the identification device determines whether the time delay from the dialing test source to the destination of each link is greater than a preset threshold, and if so, determines that the link corresponding to the time delay is a poor link.
In another possible implementation manner, the network quality probe judges whether the time delay from the dial test source to the destination of each link is greater than a preset threshold, and if so, determines that the link corresponding to the time delay is a poor link.
In the two implementation manners, if the time delay from the dialing measurement source to the destination is smaller than or equal to a preset threshold, the link corresponding to the time delay is determined to be a non-poor link.
The preset threshold is a quantity for measuring the degree of network delay, and can be determined according to historical empirical data.
In this embodiment, the identification device or the network quality probe obtains the time delay from the dialing test source to the destination of each link according to the obtained Traceroute data, determines whether the time delay from the dialing test source to the destination of each link is greater than a preset threshold, and if so, determines that the link corresponding to the time delay is a poor link, thereby improving the feasibility of determining the poor link and improving the scene adaptability of the identification method of the degraded fault point.
Fig. 10 is a schematic structural diagram of a first embodiment of an identification apparatus for a degradation fault point according to an embodiment of the present application, and as shown in fig. 10, the identification apparatus 10 in this embodiment includes:
a data acquisition module 11, a first determination module 12 and a second determination module 13.
The data acquisition module 11 is configured to acquire real-time Traceroute data of a poor link through network quality probes deployed nationwide.
The Traceroute data comprises IP address information of all nodes from a dial testing source to a destination end and time delay information from the dial testing source to each node;
the first determining module 12 is configured to determine the first province according to the IP address information of the dial testing source of each poor link.
The first province refers to the province where deterioration occurs.
And the second determining module 13 is configured to determine a degradation fault point according to the real-time Traceroute data and the historical Traceroute data of all node pairs in the first province for the path.
In a possible implementation manner, the first determining module 12 is specifically configured to:
determining the attribution province of each poor quality link according to the IP address information of the dial testing source of the poor quality link;
and analyzing the poor quality link belonging to each province to determine a first province.
In another possible implementation manner, the first determining module 12 is specifically configured to:
determining the quality difference link number contained in each province;
determining the maximum value of the number of the poor quality links according to the number of the poor quality links contained in each province;
and determining the province corresponding to the maximum value of the quality difference link number as a first province.
In another possible implementation manner, the data obtaining module 11 is specifically configured to:
determining a poor quality link by screening the acquired Traceroute data;
and initiating a real-time dial testing task to the poor quality link to acquire real-time Traceroute data of the poor quality link.
In another possible implementation manner, the data obtaining module 11 is specifically configured to:
acquiring time delay from a dial testing source to a destination end of each link according to the acquired Traceroute data;
and judging whether the time delay from the dialing test source to the destination of each link is greater than a preset threshold, and if so, determining that the link corresponding to the time delay is a poor link.
In this embodiment, the data acquisition module acquires real-time Traceroute data of poor quality links through network quality probes deployed nationwide, the first determination module determines a first province according to IP address information of a dial testing source of each poor quality link, the second determination module determines a degradation fault point according to real-time Traceroute data and historical Traceroute data of all node-to-path in the first province, the Traceroute data includes IP address information of all nodes from the dial testing source to a destination and delay information from the dial testing source to each node, and the first province is a province where degradation occurs. By gradually shortening the degradation analysis range and determining the degradation fault point on the basis of analyzing the real-time Traceroute data and the historical Traceroute data of the same node on the path, the network degradation is accurately identified and the occurrence position of the degradation is accurately positioned, so that the operation and maintenance management of a large-scale network is facilitated.
Fig. 11 is a schematic structural diagram of a second embodiment of an identification apparatus for a degradation fault point according to an embodiment of the present application, and based on the embodiment shown in fig. 10, in this embodiment, the identification apparatus 10 further includes:
a processing module 14.
And the processing module 14 is configured to split the path in the first province to obtain a node-to-node path.
The data obtaining module 11 is further configured to obtain real-time Traceroute data and historical Traceroute data of each node for the path from the Traceroute database.
Wherein, the Traceroute database is used for storing Traceroute data acquired by the network quality probe.
In a possible implementation manner, the second determining module 13 is specifically configured to:
determining a quality difference node pair path on each path according to the real-time Traceroute data and the historical Traceroute data of the node pair path;
determining the number of paths influenced by the quality difference nodes on each quality difference node in the paths; the quality difference nodes are corresponding nodes contained in the quality difference node pair path;
and determining a degradation fault point according to the network element information table.
In another possible implementation manner, the second determining module 13 is specifically configured to:
determining the historical average time delay of each node pair path according to the historical Traceroute data of each node pair path;
determining the time delay increase multiple of each node pair path according to the historical average time delay of each node pair path and the current time delay in the corresponding real-time Traceroute data;
and determining the node pair path corresponding to the maximum value of the time delay increase multiple on each path as a quality difference node pair path on the path.
In another possible implementation manner, the second determining module 13 is specifically configured to:
according to the network element information table, combining the quality difference nodes according to the network elements, and determining the number of paths influenced by each network element;
and determining the network element with the most number of influenced paths as a degradation fault point.
In this embodiment, a first determination module determines a first province according to IP address information of a dial test source of each poor link, a processing module splits a path in the first province to obtain a node pair path, a data acquisition module acquires real-time Traceroute data and historical Traceroute data of each node pair path from a Traceroute database, where the Traceroute database is used to store the Traceroute data acquired by the network quality probe, and a second determination module determines a degraded fault point according to the real-time Traceroute data and the historical Traceroute data of all the node pairs paths in the first province. After the first province is determined, the path in the first province is split, and the second determining module is favorable for positioning the degradation fault point, so that the speed and the accuracy of identification of the degradation fault point are improved, the first time after degradation occurs is favorable for positioning the specific occurrence position of the degradation, the service quality of a communication network is improved, and the satisfaction degree of a user is improved.
Fig. 12 is a schematic structural diagram of a first embodiment of a system for identifying a degradation fault point according to an embodiment of the present application, as shown in fig. 12, in this embodiment, an identification system 20 includes:
a network quality probe 21 and an identification device 10 as described above.
The network quality probe 21 is deployed in a machine room of a national communication network, specifically may be a terminal-type server, and may be connected to a node in the network to perform a simulation test on the network.
The identification apparatus 10 has a function of managing and controlling the network quality probe, and in a possible implementation, the identification apparatus 10 is a probe management platform.
The network quality probe 21 is in communication connection with the identification device 10, and the network quality probe 21 receives the dial testing task issued by the identification device 10 and reports dial testing data acquired by executing the dial testing task to the identification device 10.
The form of the network quality probe 21 executing the dial testing task and the manner of reporting the dial testing data are not limited here, and the specific actual situation is the standard.
In this embodiment, the network quality probe 21 and the recognition device 10 form the recognition system 20, and the network quality probe 21 and the recognition device 10 are matched to recognize and locate the degraded fault point, thereby improving the adaptability and risk resistance of the communication network.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (19)
1. A method for identifying a degradation failure point, comprising:
acquiring real-time Traceroute data of a poor link through network quality probes deployed nationwide; the Traceroute data comprises IP address information of all nodes from a dial testing source to a destination end and time delay information from the dial testing source to each node;
determining a first province according to the IP address information of the dial testing source of each poor quality link; the first province is a province in which deterioration occurs;
and determining the degradation fault point according to the real-time Traceroute data and the historical Traceroute data of all the nodes in the first province to the path.
2. The identification method according to claim 1, wherein the determining the first province according to the IP address information of the dial testing source of each poor link comprises:
determining the attribution province of each poor quality link according to the IP address information of the dial testing source of the poor quality link;
and analyzing the poor quality link belonging to each province to determine the first province.
3. The method according to claim 2, wherein said analyzing the poor quality links belonging to the provinces to determine the first province comprises:
determining the quality difference link number contained in each province;
determining the maximum value of the number of the poor quality links according to the number of the poor quality links contained in each province;
and determining the province corresponding to the maximum value of the quality difference link number as the first province.
4. The method of identifying as claimed in claim 1, wherein before determining the degradation failure point from real-time Traceroute data and historical Traceroute data for all node pairs paths in the first province, the method further comprises:
splitting the path in the first province to obtain a node pair path;
acquiring real-time Traceroute data and historical Traceroute data of each node for the path from a Traceroute database; and the Traceroute database is used for storing the Traceroute data acquired by the network quality probe.
5. The method of claim 4, wherein determining the degradation fault point from real-time Traceroute data and historical Traceroute data for all node pairs in the first province for a path comprises:
determining a quality difference node pair path on each path according to the real-time Traceroute data and the historical Traceroute data of the node pair path;
determining the number of paths influenced by each quality difference node in the quality difference node path pair; the quality difference node is a corresponding node contained in the quality difference node pair path;
and determining the degradation fault point according to a network element information table.
6. The method of claim 5, wherein determining poor quality node pair paths on each path based on the real-time Traceroute data and historical Traceroute data of the node pair paths comprises:
determining the historical average time delay of each node pair path according to the historical Traceroute data of each node pair path;
determining the time delay increase multiple of each node pair path according to the historical average time delay of each node pair path and the current time delay in the corresponding real-time Traceroute data;
and determining the node pair path corresponding to the maximum value of the time delay increase multiple on each path as a quality difference node pair path on the path.
7. The method according to claim 5, wherein the determining the degradation failure point according to the network element information table comprises:
according to the network element information table, combining the quality difference nodes according to the network elements, and determining the number of paths influenced by each network element;
and determining the network element with the most number of influenced paths as a degradation fault point.
8. The identification method according to any one of claims 1 to 7, wherein the acquiring real-time Traceroute data of the poor link through the network quality probes deployed nationwide comprises:
determining the quality difference link by screening the acquired Traceroute data;
and initiating a real-time dial testing task to the poor quality link, and acquiring real-time Traceroute data of the poor quality link.
9. The identification method according to claim 8, wherein the screening the acquired Traceroute data to determine the link with poor quality comprises:
acquiring time delay from a dial testing source to a destination end of each link according to the acquired Traceroute data;
and judging whether the time delay from the dialing test source to the destination of each link is greater than a preset threshold, and if so, determining that the link corresponding to the time delay is a poor link.
10. An apparatus for identifying a degradation failure point, comprising:
the data acquisition module is used for acquiring real-time Traceroute data of the poor link through network quality probes deployed nationwide; the Traceroute data comprises IP address information of all nodes from a dial testing source to a destination end and time delay information from the dial testing source to each node;
the first determining module is used for determining a first province according to the IP address information of the dial testing source of each poor quality link; the first province is a province in which deterioration occurs;
and the second determining module is used for determining the degradation fault point according to the real-time Traceroute data and the historical Traceroute data of all the node pairs in the first province for the path.
11. The identification device of claim 10, wherein the first determination module is specifically configured to:
determining the attribution province of each poor quality link according to the IP address information of the dial testing source of the poor quality link;
and analyzing the poor quality link belonging to each province to determine the first province.
12. The identification device according to claim 11, wherein the first determination module is specifically configured to:
determining the quality difference link number contained in each province;
determining the maximum value of the number of the poor quality links according to the number of the poor quality links contained in each province;
and determining the province corresponding to the maximum value of the quality difference link number as the first province.
13. The identification device of claim 10, further comprising: a processing module;
the processing module is used for splitting the path in the first province to obtain a node pair path;
the data acquisition module is also used for acquiring real-time Traceroute data and historical Traceroute data of each node for the path from the Traceroute database; and the Traceroute database is used for storing the Traceroute data acquired by the network quality probe.
14. The identification device of claim 13, wherein the second determination module is specifically configured to:
determining a quality difference node pair path on each path according to the real-time Traceroute data and the historical Traceroute data of the node pair path;
determining the number of paths influenced by the quality difference nodes on each quality difference node in the paths; the quality difference node is a corresponding node contained in the quality difference node pair path;
and determining the degradation fault point according to a network element information table.
15. The identification device according to claim 14, wherein the second determination module is specifically configured to:
determining the historical average time delay of each node pair path according to the historical Traceroute data of each node pair path;
determining the time delay increase multiple of each node pair path according to the historical average time delay of each node pair path and the current time delay in the corresponding real-time Traceroute data;
and determining the node pair path corresponding to the maximum value of the time delay increase multiple on each path as a quality difference node pair path on the path.
16. The identification device according to claim 14, wherein the second determination module is specifically configured to:
according to the network element information table, combining the quality difference nodes according to the network elements, and determining the number of paths influenced by each network element;
and determining the network element with the most influenced paths as the degradation fault point.
17. The identification device according to any of claims 10 to 16, wherein the data acquisition module is specifically configured to:
determining the quality difference link by screening the acquired Traceroute data;
and initiating a real-time dial testing task to the poor quality link, and acquiring real-time Traceroute data of the poor quality link.
18. The identification device of claim 17, wherein the data acquisition module is specifically configured to:
acquiring time delay from a dial testing source to a destination end of each link according to the acquired Traceroute data;
and judging whether the time delay from the dialing test source to the destination of each link is greater than a preset threshold, and if so, determining the link corresponding to the time delay as the poor link.
19. A system for identifying a degradation fault point, comprising: a network quality probe and an identification device as claimed in any of claims 10 to 18.
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109039815B (en) * | 2018-07-27 | 2022-03-18 | 成都网丁科技有限公司 | Routing interruption node detection method and device based on historical data perception |
| CN112202638B (en) * | 2020-09-29 | 2022-03-01 | 北京百度网讯科技有限公司 | Data processing method, device, equipment and computer storage medium |
| CN115348157B (en) * | 2021-05-14 | 2023-09-05 | 中国移动通信集团浙江有限公司 | Fault positioning method, device and equipment of distributed storage cluster and storage medium |
| CN114002543B (en) * | 2021-09-27 | 2024-01-05 | 中盈优创资讯科技有限公司 | Autonomous method and device for STN relay quality difference circuit |
| CN114363925B (en) * | 2021-12-16 | 2023-10-24 | 北京红山信息科技研究院有限公司 | Automatic network quality difference identification method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102055626A (en) * | 2010-12-31 | 2011-05-11 | 北京中创信测科技股份有限公司 | Internet protocol (IP) network quality detecting method and system |
| CN102546269A (en) * | 2010-12-07 | 2012-07-04 | 中国移动通信集团广东有限公司 | Method and system capable of fast monitoring internet protocol (IP) network |
| CN105187228A (en) * | 2015-06-12 | 2015-12-23 | 中国通信建设集团设计院有限公司 | Network quality detection method and router |
| CN106656611A (en) * | 2016-12-28 | 2017-05-10 | 成都网丁科技有限公司 | CDN quality evaluation system |
| CN107332712A (en) * | 2017-08-02 | 2017-11-07 | 山西大学 | Network performance dynamic evaluation, monitoring and optimization system |
| CN107342809A (en) * | 2016-05-03 | 2017-11-10 | 中国移动通信集团四川有限公司 | A kind of service feature monitoring and Fault Locating Method and device |
| CN108566315A (en) * | 2018-03-30 | 2018-09-21 | 中国联合网络通信集团有限公司 | A kind of detection method of faulty link, device and server |
| CN108965010A (en) * | 2018-07-19 | 2018-12-07 | 郑州云海信息技术有限公司 | A kind of network link flow control abnormality monitoring method, system and host bus adaptor |
| CN109379241A (en) * | 2018-12-27 | 2019-02-22 | 新华三技术有限公司 | A kind of routing information determines method and device |
| CN110224883A (en) * | 2019-05-29 | 2019-09-10 | 中南大学 | A kind of Grey Fault Diagnosis method applied to telecommunications bearer network |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5533112B2 (en) * | 2010-03-24 | 2014-06-25 | 富士通株式会社 | Monitoring device, monitoring method and monitoring program |
-
2019
- 2019-10-29 CN CN201911035734.2A patent/CN110740065B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102546269A (en) * | 2010-12-07 | 2012-07-04 | 中国移动通信集团广东有限公司 | Method and system capable of fast monitoring internet protocol (IP) network |
| CN102055626A (en) * | 2010-12-31 | 2011-05-11 | 北京中创信测科技股份有限公司 | Internet protocol (IP) network quality detecting method and system |
| CN105187228A (en) * | 2015-06-12 | 2015-12-23 | 中国通信建设集团设计院有限公司 | Network quality detection method and router |
| CN107342809A (en) * | 2016-05-03 | 2017-11-10 | 中国移动通信集团四川有限公司 | A kind of service feature monitoring and Fault Locating Method and device |
| CN106656611A (en) * | 2016-12-28 | 2017-05-10 | 成都网丁科技有限公司 | CDN quality evaluation system |
| CN107332712A (en) * | 2017-08-02 | 2017-11-07 | 山西大学 | Network performance dynamic evaluation, monitoring and optimization system |
| CN108566315A (en) * | 2018-03-30 | 2018-09-21 | 中国联合网络通信集团有限公司 | A kind of detection method of faulty link, device and server |
| CN108965010A (en) * | 2018-07-19 | 2018-12-07 | 郑州云海信息技术有限公司 | A kind of network link flow control abnormality monitoring method, system and host bus adaptor |
| CN109379241A (en) * | 2018-12-27 | 2019-02-22 | 新华三技术有限公司 | A kind of routing information determines method and device |
| CN110224883A (en) * | 2019-05-29 | 2019-09-10 | 中南大学 | A kind of Grey Fault Diagnosis method applied to telecommunications bearer network |
Non-Patent Citations (1)
| Title |
|---|
| 网络测试及故障排除经验;李春民等;《铁道通信信号》;20040217(第02期);全文 * |
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|---|---|
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