CN109495328B - Method for guaranteeing reliability of network communication - Google Patents

Method for guaranteeing reliability of network communication Download PDF

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CN109495328B
CN109495328B CN201811649511.0A CN201811649511A CN109495328B CN 109495328 B CN109495328 B CN 109495328B CN 201811649511 A CN201811649511 A CN 201811649511A CN 109495328 B CN109495328 B CN 109495328B
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CN109495328A (en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876Network utilisation, e.g. volume of load or congestion level
    • H04L43/0888Throughput
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0893Assignment of logical groups to network elements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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Abstract

The invention discloses a method for guaranteeing the reliability of network communication, which comprises the following steps: (1) n communication nodes respectively detect whether the communication nodes are in a communication active state, and if the communication nodes are in the communication active state, the real-time throughput capacity of the communication nodes and the names of other communication nodes corresponding to the communication nodes are detected; (2) constructing a real-time communication matrix H based on the throughput capacity and the names of other corresponding communication nodes, wherein H is an N-x-N order angle symmetric square matrix; (3) taking a real-time communication matrix H as input, and calculating a characteristic matrix X through a Node2Vec algorithm of Network Representation Learning (NRL); (4) and calculating a feature root of the feature matrix X, judging whether the feature root is in a first quadrant or a fourth quadrant, if so, ensuring the communication reliability of the network by the current bandwidth, and otherwise, outputting capacity expansion information. The method for guaranteeing the reliability of network communication can intelligently estimate the current network and meet the requirement of nodes in the network.

Description

Method for guaranteeing reliability of network communication
Technical Field
The invention relates to the technical field of communication, in particular to a method for guaranteeing network communication reliability.
Background
With the continuous pursuit of people for intelligent life and the continuous development and growth of intelligent electrical equipment, various conventional household appliances such as electric cookers, washing machines and the like all realize the function of communication networking. The networking of these devices often results in an insufficient bandwidth of the local network, which may result in the user not being able to connect to the network properly when the user needs to use the network or may be slow and thus may not be able to deal with the important things in a timely manner.
In the prior art, for such a situation, the user's own experience is used to measure whether to further increase the bandwidth of the network. However, the subjective method cannot accurately reflect the actual situation, and particularly, when the network itself is unstable, misjudgment may be caused, and the subjective method cannot guarantee the accuracy of measurement.
Disclosure of Invention
Therefore, aiming at the problems, the invention provides a method for guaranteeing the reliability of network communication, which can objectively and automatically identify whether the current network can meet the requirements or not based on the existing communication condition in the network and remind people to upgrade the network when the current network can not meet the requirements; whether the upgraded network can meet the requirements can be detected after the first-level upgrade, and the normal requirements are guaranteed through the least upgrade, so that the overhead is saved, and misjudgment and inaccuracy brought by subjective judgment are avoided.
In order to achieve the above object, the present invention provides a method for guaranteeing network communication reliability, wherein N communication nodes share one network, where N is a total number of communication nodes included in the network, and the method for guaranteeing network communication reliability includes the following steps:
(1) n communication nodes respectively detect whether the communication nodes are in a communication active state, and if the communication nodes are in the communication active state, the real-time throughput capacity of the communication nodes and the names of other communication nodes corresponding to the communication nodes are detected;
(2) constructing a real-time communication matrix H based on the throughput capacity and the names of other corresponding communication nodes, wherein H is an N-x-N order angle symmetric square matrix;
(3) taking a real-time communication matrix H as input, and calculating a characteristic matrix X through a Node2Vec algorithm of Network Representation Learning (NRL);
(4) calculating a feature root of the feature matrix X, judging whether the feature root is in a first quadrant or a fourth quadrant, if so, ensuring the communication reliability of the network by the current bandwidth, and otherwise, outputting capacity expansion information
The method for guaranteeing the reliability of network communication further meets the following conditions: the communication active state refers to that the communication node is receiving or sending data.
The method for guaranteeing the reliability of network communication further meets the following conditions: the other communication nodes corresponding to the communication nodes are determined as follows: when a communication node is sending data to another communication node, the other communication node corresponding to the communication node is the other communication node receiving the data; the other communication node corresponding to a certain communication node is another communication node which transmits data when the certain communication node is receiving the data transmitted from the another communication node.
The method for guaranteeing the reliability of network communication further meets the following conditions: the names of the other communication nodes are IP addresses or numbers.
The method for guaranteeing the reliability of network communication further meets the following conditions: the specific steps for constructing the real-time communication matrix H are as follows: when there is data flow between the communication node i and the communication node j, the values hij and hji are the throughput between the communication node i and the communication node j, hii is 0, i and j are 1, 2, … … and N, and hij is the ith row and jth column element in the real-time communication matrix H.
The method for guaranteeing the reliability of network communication further meets the following conditions: the step (3) specifically comprises:
the objective function of the Node2vec algorithm is shown in formula (1):
Figure GDA0003271015280000031
in the formula (1), Zu=∑v∈Vexp(f(v)·f(u)).f:V→RDF is the mapping from the communication node set to the D-dimensional characteristics, u is a certain communication node in the network, and Ns (u) is a neighbor communication node of the communication node u;
the optimal network node characteristics obtained from the objective function are expressed as shown in formula (2):
X=[x1,x2,...,xN],X∈RD×N (2)
in the formula (2), xi=[xi1,xi2,...,xiD]D is the feature dimension and N is the number of communication nodes in the network.
The method for guaranteeing the reliability of network communication further meets the following conditions: the capacity expansion information refers to information for suggesting the network to increase bandwidth.
The method for guaranteeing the reliability of network communication further meets the following conditions: and the information is displayed through a display screen.
The method for guaranteeing the reliability of network communication further meets the following conditions: the information is also transmitted to the mobile terminal of the staff member.
Drawings
Fig. 1 is a flowchart of a method of securing network communication reliability.
Detailed Description
Please refer to fig. 1.
A method for guaranteeing network communication reliability is characterized in that N communication nodes share one network, wherein N is the total number of the communication nodes contained in the network, and the method for guaranteeing the network communication reliability comprises the following steps:
(1) n communication nodes respectively detect whether the communication nodes are in a communication active state, and if the communication nodes are in the communication active state, the real-time throughput capacity of the communication nodes and the names of other communication nodes corresponding to the communication nodes are detected;
(2) constructing a real-time communication matrix H based on the throughput capacity and the names of other corresponding communication nodes, wherein H is an N-x-N order angle symmetric square matrix;
(3) taking a real-time communication matrix H as input, and calculating a characteristic matrix X through a Node2Vec algorithm of Network Representation Learning (NRL);
(4) and calculating a feature root of the feature matrix X, judging whether the feature root is in a first quadrant or a fourth quadrant, if so, ensuring the communication reliability of the network by the current bandwidth, and otherwise, outputting capacity expansion information.
The communication active state refers to that the communication node is receiving or sending data.
The other communication nodes corresponding to the communication nodes are determined as follows: when a communication node is sending data to another communication node, the other communication node corresponding to the communication node is the other communication node receiving the data; the other communication node corresponding to a certain communication node is another communication node which transmits data when the certain communication node is receiving the data transmitted from the another communication node.
The names of the other communication nodes are IP addresses or numbers.
The specific steps for constructing the real-time communication matrix H are as follows: when there is data flow between the communication node i and the communication node j, the values hij and hji are the throughput between the communication node i and the communication node j, hii is 0, i and j are 1, 2, … … and N, and hij is the ith row and jth column element in the real-time communication matrix H.
The step (3) specifically comprises:
the objective function of the Node2vec algorithm is shown in formula (1):
Figure GDA0003271015280000051
in the formula (1), Zu=∑v∈Vexp(f(v)·f(u)).f:V→RDF is the mapping from the communication node set to the D-dimensional characteristics, u is a certain communication node in the network, and Ns (u) is a neighbor communication node of the communication node u;
the optimal network node characteristics obtained from the objective function are expressed as shown in formula (2):
X=[x1,x2,...,xN],X∈RD×N (2)
in the formula (2), xi=[xi1,xi2,...,xiD]D is the feature dimension and N is the number of communication nodes in the network.
The capacity expansion information refers to information for suggesting the network to increase bandwidth.
And the information is displayed through a display screen.
The information is also transmitted to the mobile terminal of the staff member.
After the step (4) outputs the extension information, the method further comprises:
(5) the staff increases the bandwidth of the network by one unit upwards.
And then repeating the steps (1) - (5) on the basis that the network has the new increased bandwidth until the communication reliability of the new increased bandwidth network can be guaranteed. So far, only one unit is added in each verification process, so that the requirement can be guaranteed by the minimum bandwidth, and the investment is saved.
It should be noted that the above-mentioned embodiments are provided for further detailed description of the present invention, and the present invention is not limited to the above-mentioned embodiments, and those skilled in the art can make various modifications and variations on the above-mentioned embodiments without departing from the scope of the present invention.

Claims (7)

1. A method for guaranteeing network communication reliability is characterized in that N communication nodes share one network, wherein N is the total number of the communication nodes contained in the network, and the method for guaranteeing the network communication reliability comprises the following steps:
(1) n communication nodes respectively detect whether the communication nodes are in a communication active state, and if the communication nodes are in the communication active state, the real-time throughput capacity of the communication nodes and the names of other communication nodes corresponding to the communication nodes are detected;
(2) constructing a real-time communication matrix H based on the throughput capacity and the names of other corresponding communication nodes, wherein H is an N-x-N order angle symmetric square matrix;
the specific steps for constructing the real-time communication matrix H are as follows: when data flow exists between a communication node i and a communication node j, the numerical values of hij and hji are the throughput between the communication node i and the communication node j, hii is 0, i and j are 1, 2, … … and N, and hij is the ith row and the jth column element in the real-time communication matrix H;
(3) taking a real-time communication matrix H as input, and calculating a characteristic matrix X through a Node2Vec algorithm of Network Representation Learning (NRL);
(4) and calculating a feature root of the feature matrix X, judging whether the feature root is in a first quadrant or a fourth quadrant, if so, ensuring the communication reliability of the network by the current bandwidth, and otherwise, outputting capacity expansion information.
2. The method of claim 1, wherein the communication active state refers to the communication node receiving or sending data.
3. The method according to claim 2, wherein the other communication nodes corresponding to the other communication nodes are determined as follows: when a communication node is sending data to another communication node, the other communication node corresponding to the communication node is the other communication node receiving the data; the other communication node corresponding to a certain communication node is another communication node which transmits data when the certain communication node is receiving the data transmitted from the another communication node.
4. The method according to claim 3, wherein the name of the other communication node is an IP address or a number.
5. The method according to claim 4, wherein the capacity expansion information is information that suggests the network to increase bandwidth.
6. The method for guaranteeing reliability of network communication according to claim 5, wherein the information is displayed through a display screen.
7. The method of claim 6, wherein the information is further transmitted to a mobile terminal of the staff member.
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