CN117155864A - Flow management system and method based on Internet - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/12—Avoiding congestion; Recovering from congestion
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention belongs to the technical field of flow management, and particularly relates to a flow management system and a management method based on the Internet.
Description
Technical Field
The invention belongs to the technical field of flow management, and particularly relates to a flow management system and method based on the Internet.
Background
With the rapid development of internet technology, networks have become an indispensable part of people's daily life, from work, study to entertainment and social contact, networks have penetrated to aspects of people's life, however, with the continuous abundance of network applications and the rapid increase of user number, network traffic management problems are increasingly prominent, network congestion, resource waste, information security and other problems have become bottlenecks restricting the development of the internet, so that research on a traffic management method based on the internet has important practical significance.
In the prior art, when optimizing network traffic management, management optimization is often performed in terms of bandwidth limitation and load balancing, but the bandwidth limitation mode controls traffic by limiting the bandwidth of a user, which may result in degradation of user experience, and the load balancing mode is to disperse traffic to a plurality of servers to realize load balancing, but overall performance is affected due to performance difference between the servers.
Disclosure of Invention
The invention aims to provide a flow management system and a management method based on the Internet, which can distribute allowable distribution data packets under the initial node of an optimization period through the setting of the optimization period, so that a user can know the distribution state of network flow and meanwhile avoid network congestion.
The technical scheme adopted by the invention is as follows:
an internet-based traffic management method, comprising:
acquiring flow transmission information of flow receiving and transmitting equipment in a management area, wherein the flow receiving and transmitting equipment comprises a flow output end and a user receiving end;
acquiring the total data packet demand of the user receiving end, calibrating the total data packet demand as a parameter to be evaluated, inputting the parameter to be evaluated into an evaluation model, calibrating an output result with a positive value as an output deviation amount, and calibrating a time node corresponding to the output deviation amount as a node to be evaluated;
inputting the node to be evaluated into a verification model to obtain a stable transceiving period, executing offset to the direction of a starting node of the stable transceiving period by an ending node of the stable transceiving period, and calibrating an offset result as an optimization period;
and acquiring an allowable distribution data packet under an optimization period starting node, calibrating the allowable distribution data packet as a reference parameter, acquiring a user demand data packet in the optimization period, sending an inquiry instruction to a user receiving end in real time when the reference parameter is smaller than the user demand data packet, and executing data packet distribution to the user receiving end after the user receiving end determines the inquiry instruction.
In a preferred embodiment, the step of obtaining the total amount of data packet requirements of the user receiving end and calibrating the total amount of data packet requirements as the parameter to be evaluated includes:
acquiring an initial operation node of the flow output end, and constructing a monitoring period by taking the initial operation node as a starting point, wherein an end node of the monitoring period is a current operation node of the flow output end;
acquiring response time length of a flow output end, and setting a plurality of sampling nodes in the monitoring period by taking the response time length as a sampling interval;
and acquiring the data packet demand of the user receiving end under the sampling node, summarizing the data packet demand into the data packet demand total, and calibrating the data packet demand total into the parameter to be evaluated.
In a preferred embodiment, the step of inputting the parameter to be evaluated into an evaluation model, and calibrating the output result with a positive value as the output deviation amount includes:
acquiring rated output and parameters to be evaluated of a data packet;
invoking an evaluation function from the evaluation model;
and inputting the rated output and the parameter to be evaluated into an evaluation function, and calibrating an output result with positive value as an output deviation amount.
In a preferred embodiment, the step of inputting the node to be evaluated into a verification model to obtain a stable transceiving period includes:
acquiring the nodes to be evaluated, and sequencing the nodes according to the calibration time;
acquiring occurrence intervals between adjacent nodes to be evaluated, and calibrating the occurrence intervals as parameters to be checked;
calling a verification threshold value from the verification model, and comparing the verification threshold value with a parameter to be verified;
if the parameter to be checked is larger than the check threshold, the corresponding parameter to be evaluated is marked as a discontinuous node;
if the parameter to be checked is smaller than or equal to the check threshold, the corresponding node to be evaluated is marked as a continuous node, and the time period formed by all the continuous nodes is marked as a stable transceiving time period.
In a preferred embodiment, the step of performing an offset on the end node of the stable transceiving period toward the start node of the stable transceiving period, and calibrating the offset result thereof as an optimized period includes:
acquiring an end node of a stable receiving and transmitting period, and calibrating the end node as a reference offset node;
obtaining a standard offset value, and taking the reference offset node as a starting point, and executing offset processing to the direction of the starting node of the stable receiving and transmitting period according to the standard offset value to obtain an optimized node;
calibrating a time period between the optimization node and the reference offset node as an optimization time period;
wherein the optimized node is located after the start node of the stable transceiving period.
In a preferred solution, before the offset is performed from the end node of the stable transceiving period to the direction of the start node of the stable transceiving period, the method further includes the following steps:
acquiring the duration of a stable transceiving period, and calibrating the duration as a parameter to be evaluated;
acquiring an evaluation threshold value and comparing the evaluation threshold value with the parameter to be evaluated;
if the parameter to be evaluated is larger than the evaluation threshold, acquiring an ending node of the stable receiving and transmitting period, and calibrating the ending node as a reference offset node;
if the parameter to be evaluated is smaller than or equal to the evaluation threshold, the stable transceiving time period is directly calibrated to be an optimized time period.
In a preferred scheme, after the stable transceiving time period is output, calibrating the stable transceiving time period as a time period to be evaluated, adding identification serial numbers one by one according to the sequence of occurrence time of the stable transceiving time period, and summarizing the time period to be evaluated into a data set to be evaluated;
setting a plurality of parallel time periods in the monitoring period, counting the number of time periods to be evaluated under the same identification sequence number in each parallel time period, and calibrating the number of time periods to be evaluated as parameters to be compared;
acquiring an evaluation threshold value and comparing the evaluation threshold value with the parameter to be compared;
if the parameter to be compared is larger than the evaluation threshold, calibrating a period to be evaluated corresponding to the parameter to be compared as a parameter to be optimized, and inputting the parameter to be optimized into the self-adaptive regulation model to obtain a regulation period;
and if the parameter to be compared is smaller than or equal to the evaluation threshold value, continuing to count the period to be evaluated under the same identification sequence number.
In a preferred embodiment, the step of inputting the parameter to be optimized into an adaptive regulation model to obtain a regulation period includes:
acquiring parameters to be optimized, a prediction interval and a currently counted stable transceiving period;
calling a regulation function from the adaptive regulation model;
and inputting the parameters to be optimized, the prediction interval and the current statistical stable transceiving time period into an optimization function together, and calibrating the output result as a regulation time period.
The invention also provides a flow management system based on the Internet, and a flow management method applying the Internet, comprising the following steps:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring flow transmission information of flow receiving and transmitting equipment in a management area, and the flow receiving and transmitting equipment comprises a flow output end and a user receiving end;
the evaluation module is used for acquiring the total data packet demand of the user receiving end, calibrating the total data packet demand as a parameter to be evaluated, inputting the parameter to be evaluated into an evaluation model, calibrating an output result with a positive value as an output deviation amount, and calibrating a time node corresponding to the output deviation amount as a node to be evaluated;
the verification module is used for inputting the node to be evaluated into a verification model to obtain a stable transceiving period, executing offset of an ending node of the stable transceiving period to the direction of a starting node of the stable transceiving period, and calibrating an offset result as an optimization period;
the allocation module is used for acquiring an allowable allocation data packet under an optimization period starting node, calibrating the allowable allocation data packet as a reference parameter, acquiring a user demand data packet in the optimization period, sending an inquiry instruction to the user receiving end in real time when the reference parameter is smaller than the user demand data packet, and executing data packet allocation to the user receiving end after the user receiving end determines the inquiry instruction.
And, an internet-based traffic management terminal comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the internet-based traffic management method described above.
The invention has the technical effects that:
the invention sets the corresponding optimization time period based on the stable transceiving time period, can execute the optimization time period under the condition that the network traffic demand of the user is small, so that the normal operation of the user is not influenced, and simultaneously obtains the allowable distribution data packet under the starting node of the optimization time period, and carries out the inquiry distribution according to the user demand, so that the user can know the distribution state of the network traffic in real time, thereby avoiding the influence on the use experience of the network traffic, and in addition, the network congestion can be avoided through the distribution operation of the allowable distribution data packet, and the stability of the network operation is ensured to a great extent.
Drawings
FIG. 1 is a schematic overall flow chart of the method provided by the invention;
FIG. 2 is a flow chart of the output of parameters to be evaluated provided by the present invention;
FIG. 3 is a flow chart illustrating the execution of the assessment model provided by the present invention;
FIG. 4 is a flow chart illustrating the execution of the verification model provided by the present invention;
FIG. 5 is an output flow chart of an optimization period provided by the present invention;
FIG. 6 is a block diagram of a management system provided by the present invention;
fig. 7 is a block diagram of a management terminal according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one preferred embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Referring to fig. 1, the present invention provides a traffic management method based on internet, comprising:
s1, acquiring flow transmission information of flow receiving and transmitting equipment in a management area, wherein the flow receiving and transmitting equipment comprises a flow output end and a user receiving end;
s2, acquiring the total data packet demand of a user receiving end, calibrating the total data packet demand as a parameter to be evaluated, inputting the parameter to be evaluated into an evaluation model, calibrating an output result with a positive value as an output deviation amount, and calibrating a time node corresponding to the output deviation amount as a node to be evaluated;
s3, inputting the node to be evaluated into a verification model to obtain a stable transceiving period, executing offset of an ending node of the stable transceiving period to the direction of a starting node of the stable transceiving period, and calibrating an offset result as an optimization period;
s4, acquiring an allowable distribution data packet under the starting node of the optimization period, calibrating the allowable distribution data packet as a reference parameter, acquiring a user demand data packet in the optimization period, sending an inquiry instruction to a user receiving end in real time when the reference parameter is smaller than the user demand data packet, and executing data packet distribution to the user receiving end after the user receiving end determines the inquiry instruction.
As described in the above steps S1-S4, with the rapid development and popularization of the internet technology, the network traffic in the global scope presents an explosive growth, and this rapid growth of network traffic brings great challenges to operators, enterprises and individual users, on one hand, the problems of network congestion, slow speed, high delay and the like seriously affect the internet surfing experience of the users, on the other hand, the unreasonable allocation and management of network resources cause the waste of network resources, so how to effectively manage and control the network traffic, improve the network performance and resource utilization rate, become the problem to be solved in the industry, in this embodiment, firstly, the traffic transmission information of the traffic transceiver devices in the management area is collected, where the management area may be a business area, a residential living area, an office area and the like, and the traffic transceiver devices include a traffic output end and a user receiving end, in practical application, the total data packet demand of a user receiving end needs to be acquired in real time, the data packet demand is calibrated into a parameter to be evaluated, the parameter to be evaluated is input into an evaluation model, the output deviation amount of the data packet in practical application can be output, when the output deviation amount is negative, the data packet is insufficient, an alarm signal is sent out for early warning at the moment, the data packet is sufficient, the corresponding sampling node is calibrated into the node to be evaluated, the node to be evaluated is input into a verification model, the stable transceiving period of the data packet is obtained, the deviation operation is carried out in the direction of the initial node of the stable transceiving period with the end point of the stable transceiving period as the initial point, so that the determination of the optimization period is realized, the setting of the optimization period aims at sending the data packet which is allowed to be distributed to the user, the user decides whether to continue to execute the operation under the support of the data packet, so that the user can determine the network state, avoid the influence of experience, and also avoid the generation of network congestion in the same way, thereby ensuring the stability of network operation.
In a preferred embodiment, referring to fig. 2, the step of obtaining the total amount of data packet requirements of the user receiving end and calibrating the total amount of data packet requirements as the parameter to be evaluated includes:
s201, acquiring an initial operation node of a flow output end, and constructing a monitoring period by taking the initial operation node as a starting point, wherein an end node of the monitoring period is a current operation node of the flow output end;
s202, acquiring response time length of a flow output end, and setting a plurality of sampling nodes in a monitoring period by taking the response time length as a sampling interval;
s203, acquiring the data packet demand of the user receiving end under the sampling node, summarizing the data packet demand into the data packet demand total, and calibrating the data packet demand total into the parameter to be evaluated.
As described in the foregoing steps S201-S203, when counting the total amount of data packet demand at the receiving end of the user, the starting operation node at the receiving end of the flow is first used, the current operation node is finished to construct a monitoring period, and the monitoring period is also continuously prolonged due to the continuous change of the current node.
In a preferred embodiment, referring to fig. 3, the step of inputting the parameter to be evaluated into the evaluation model and calibrating the output result with positive value as the output deviation value includes:
s204, acquiring rated output quantity and parameters to be evaluated of the data packet;
s205, calling an evaluation function from the evaluation model;
s206, inputting the rated output and the parameter to be evaluated into the evaluation function, and calibrating the output result with positive value as the output deviation amount.
As described in the above steps S204-S206, after the parameter to be evaluated is determined, it is input into the evaluation function together with the rated output of the data packet, where the expression of the evaluation function is:wherein->Indicating packet skew amount, ">Indicating rated output +.>And (3) representing the parameter to be evaluated, based on the formula, calibrating the data packet deviation value with positive value as the output deviation value, and determining the node to be evaluated according to the output deviation value.
In a preferred embodiment, referring to fig. 4, the step of inputting the node to be evaluated into the verification model to obtain the stable transceiving time period includes:
s301, acquiring nodes to be evaluated, and sequencing the nodes according to the calibration time;
s302, acquiring occurrence intervals between adjacent nodes to be evaluated, and calibrating the occurrence intervals as parameters to be checked;
s303, calling a verification threshold value from the verification model, and comparing the verification threshold value with the parameter to be verified;
if the parameter to be checked is larger than the check threshold, the corresponding parameter to be evaluated is marked as a discontinuous node;
if the parameter to be checked is smaller than or equal to the check threshold, the corresponding node to be evaluated is marked as a continuous node, and the time period formed by all the continuous nodes is marked as a stable transceiving time period.
As described in the above steps S301-S303, after the nodes to be evaluated are determined, they are arranged according to the sequence of the calibration time, then the time interval between the adjacent nodes to be evaluated is counted, in this embodiment, the time interval is calibrated as a parameter to be checked, then a check threshold is called from the check model and is compared with the parameter to be checked, when the parameter to be checked is greater than the check threshold, it indicates that the adjacent nodes to be evaluated are discontinuous, i.e. the situation that the data packet distribution between the adjacent nodes to be evaluated is insufficient for too long time, but when the parameter to be checked is less than or equal to the check threshold, it indicates that the data packet distribution during this period can meet the requirement of the user receiving end, the corresponding nodes to be evaluated are calibrated as continuous nodes, then the comparison is continued with the next node to be evaluated until the condition that the parameter to be checked is greater than the check threshold occurs, at this moment, the continuously continuous nodes to be evaluated can be summarized together, and the summarized time period is the stable transceiving time period.
In a preferred embodiment, referring to fig. 5, the step of performing an offset on the end node of the stable transceiving period toward the start node of the stable transceiving period, and calibrating the offset result as an optimized period includes:
s304, acquiring an end node of the stable transceiving period, and calibrating the end node as a reference offset node;
s305, acquiring a standard offset value, and taking a reference offset node as a starting point, and executing offset processing to the direction of the starting node of the stable transceiving period according to the standard offset value to obtain an optimized node;
s306, calibrating the time period between the optimization node and the reference offset node as an optimization time period;
wherein the optimization node is located after the start node of the stable transceiving period.
As described in the above steps S304-S306, when determining the optimization period, the end node of the stable transceiving period is first calibrated as the reference offset node, then the offset operation is performed on the reference offset node according to the preset standard offset value, so as to obtain the optimization node, the optimization node is located after the start node of the stable transceiving period, then the optimization node is used as the start point, the reference offset node is used as the end point to construct the optimization period, after receiving the requirement of the user for invoking the data packet at the start node of the optimization period, the inquiry command is sent to the start node, after the user determines, the distribution operation of the data packet is performed, otherwise, after canceling, the user does not need to continue to perform the distribution of the data packet, so that the network smoothness is ensured, and meanwhile, the experience of the user using the network is prevented from being reduced.
In a preferred embodiment, before the end node of the stable transceiving period performs the offset towards the start node of the stable transceiving period, the method further comprises the following steps:
stp1, obtaining the duration of a stable transceiving period, and calibrating the duration as a parameter to be evaluated;
stp2, acquiring an evaluation threshold value, and comparing the evaluation threshold value with parameters to be evaluated;
if the parameter to be evaluated is larger than the evaluation threshold, acquiring an ending node of the stable receiving and transmitting period, and calibrating the ending node as a reference offset node;
if the parameter to be evaluated is smaller than or equal to the evaluation threshold, the stable transceiving time period is directly calibrated to be the optimized time period.
As described in the foregoing step Stp-Stp2, before the offset operation is performed on the end node of the stable transceiving period, the end node of the stable transceiving period is first calibrated as a parameter to be evaluated, then the parameter to be evaluated is compared with an evaluation threshold, where the evaluation threshold is consistent with the standard offset value, and the setting purpose is to screen the stable transceiving period conforming to the offset condition, specifically, when the parameter to be evaluated is greater than the evaluation threshold, the end node of the stable transceiving period is calibrated as a reference offset node, otherwise, the stable transceiving period is directly calibrated as an optimized period, and the optimized period is provided with a plurality of optimized periods.
In a preferred embodiment, after the stable receiving and transmitting time period is output, calibrating the stable receiving and transmitting time period as a time period to be evaluated, adding identification serial numbers one by one according to the sequence of occurrence time of the stable receiving and transmitting time period, and summarizing the time period to be evaluated as a data set to be evaluated;
setting a plurality of parallel time periods in a monitoring period, counting the number of time periods to be evaluated under the same identification sequence number in each parallel time period, and calibrating the number of time periods to be evaluated as parameters to be compared;
acquiring an evaluation threshold value and comparing the evaluation threshold value with parameters to be compared;
if the parameter to be compared is larger than the evaluation threshold, calibrating the period to be evaluated corresponding to the parameter to be compared as the parameter to be optimized, and inputting the parameter to be optimized into the self-adaptive regulation and control model to obtain a regulation and control period;
if the parameter to be compared is smaller than or equal to the evaluation threshold value, continuing to count the period to be evaluated under the same identification sequence number.
In this embodiment, after the stable transceiving period is determined, the stable transceiving period is calibrated as a period to be evaluated, then the identification serial numbers are added one by one, then a plurality of parallel periods are set in a monitoring period, the number of the period to be evaluated under the same identification serial number in each parallel period is calibrated as a parameter to be compared, the parameter to be compared is compared with an evaluation threshold value, and when the parameter to be compared is greater than the evaluation threshold value, the parameter to be compared is input into an adaptive regulation model, so as to output a regulation period, when the network optimization is determined to be required to be executed, an optimization period is determined by taking the parameter as the stable differentiation period, and an inquiry command is sent to a user receiving end according to an allowable distribution data packet under the execution start point of the optimization period.
In a preferred embodiment, the step of inputting the parameters to be optimized into the adaptive regulation model to obtain the regulation period includes:
step 1, obtaining parameters to be optimized, a prediction interval and a stable transceiving period counted currently;
step 2, calling a regulating function from the self-adaptive regulating model;
and step 3, inputting parameters to be optimized, a prediction interval and a current statistical stable transceiving time period into an optimization function together, and calibrating an output result as a regulation time period.
As described in the above steps 1 to 4, after the parameters to be optimized are determined, a regulatory function is called from the adaptive regulatory model, where the expression of the regulatory function is:wherein->Indicates the regulation period, the->Stable transmit-receive period representing current statistics, +.>Representing the number of parameters to be optimized, +.>And->Based on the formula, the parameters to be optimized of adjacent bit numbers can be directly output in the regulation and control period in the next parallel period, when the network flow management is needed to be executed subsequently, the stable transceiving period is used for determining the optimization period, then the allowable distribution data packet at the starting point of the optimization period is calibrated as a reference parameter and is compared with the user demand data packet, when the reference parameter is smaller than the user demand data packet, an inquiry instruction is sent to the user receiving end, and after the user receiving end determines, the distribution of the data packet is executed to the user receiving end.
As shown in fig. 6, the present invention further provides an internet-based traffic management system, which is applied to the above-mentioned traffic management method of the internet, and includes:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring flow transmission information of flow receiving and transmitting equipment in a management area, and the flow receiving and transmitting equipment comprises a flow output end and a user receiving end;
the evaluation module is used for acquiring the total data packet demand of the user receiving end, calibrating the total data packet demand as a parameter to be evaluated, inputting the parameter to be evaluated into the evaluation model, calibrating an output result with a positive value as an output deviation amount, and calibrating a time node corresponding to the output deviation amount as a node to be evaluated;
the verification module is used for inputting the node to be evaluated into the verification model to obtain a stable transceiving period, executing offset to the direction of the initial node of the stable transceiving period by the end node of the stable transceiving period, and calibrating the offset result as an optimized period;
the allocation module is used for acquiring the allowable allocation data packet under the starting node of the optimization period, calibrating the allowable allocation data packet as a reference parameter, acquiring the user demand data packet in the optimization period, sending an inquiry instruction to the user receiving end in real time when the reference parameter is smaller than the user demand data packet, and executing data packet allocation to the user receiving end after the user receiving end determines the inquiry instruction.
In the above-mentioned embodiment, when the management system is executed, firstly, the acquisition module acquires the flow transmission information of the flow receiving and transmitting device in the management area, in this embodiment, the flow receiving and transmitting device is classified into the flow output end and the user receiving end, then, the total data packet demand of the user receiving end is calibrated to be the parameter to be evaluated through the evaluation module, then, the output deviation amount and the node to be evaluated corresponding to the output deviation amount are determined by combining with the execution of the evaluation model, then, the node to be evaluated is input into the verification module to obtain the stable receiving and transmitting period, the optimization period is determined based on the stable receiving and transmitting period, the corresponding data support is provided for the execution of the distribution module, and when the distribution module executes, the allowable distribution data packet at the starting point of the optimization period is calibrated to be the reference parameter, and then, the reference parameter is smaller than the user demand data packet, and after the reference parameter is determined to be the user receiving end, the query command is sent to the user receiving end, and the distribution of the data packet is executed to the user receiving end.
As shown in fig. 7, an internet-based traffic management terminal includes:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the internet-based traffic management method described above.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.
Claims (10)
1. The flow management method based on the Internet is characterized by comprising the following steps of: comprising the following steps:
acquiring flow transmission information of flow receiving and transmitting equipment in a management area, wherein the flow receiving and transmitting equipment comprises a flow output end and a user receiving end;
acquiring the total data packet demand of the user receiving end, calibrating the total data packet demand as a parameter to be evaluated, inputting the parameter to be evaluated into an evaluation model, calibrating an output result with a positive value as an output deviation amount, and calibrating a time node corresponding to the output deviation amount as a node to be evaluated;
inputting the node to be evaluated into a verification model to obtain a stable transceiving period, executing offset to the direction of a starting node of the stable transceiving period by an ending node of the stable transceiving period, and calibrating an offset result as an optimization period;
and acquiring an allowable distribution data packet under an optimization period starting node, calibrating the allowable distribution data packet as a reference parameter, acquiring a user demand data packet in the optimization period, sending an inquiry instruction to a user receiving end in real time when the reference parameter is smaller than the user demand data packet, and executing data packet distribution to the user receiving end after the user receiving end determines the inquiry instruction.
2. The internet-based traffic management method according to claim 1, wherein: the step of obtaining the total data packet demand of the user receiving end and calibrating the total data packet demand as the parameter to be evaluated comprises the following steps:
acquiring an initial operation node of the flow output end, and constructing a monitoring period by taking the initial operation node as a starting point, wherein an end node of the monitoring period is a current operation node of the flow output end;
acquiring response time length of a flow output end, and setting a plurality of sampling nodes in the monitoring period by taking the response time length as a sampling interval;
and acquiring the data packet demand of the user receiving end under the sampling node, summarizing the data packet demand into the data packet demand total, and calibrating the data packet demand total into the parameter to be evaluated.
3. The internet-based traffic management method according to claim 1, wherein: the step of inputting the parameter to be evaluated into an evaluation model and calibrating an output result with a positive value into an output deviation amount comprises the following steps:
acquiring rated output and parameters to be evaluated of a data packet;
invoking an evaluation function from the evaluation model;
and inputting the rated output and the parameter to be evaluated into an evaluation function, and calibrating an output result with positive value as an output deviation amount.
4. The internet-based traffic management method according to claim 1, wherein: the step of inputting the node to be evaluated into a verification model to obtain a stable transceiving time period comprises the following steps:
acquiring the nodes to be evaluated, and sequencing the nodes according to the calibration time;
acquiring occurrence intervals between adjacent nodes to be evaluated, and calibrating the occurrence intervals as parameters to be checked;
calling a verification threshold value from the verification model, and comparing the verification threshold value with a parameter to be verified;
if the parameter to be checked is larger than the check threshold, the corresponding parameter to be evaluated is marked as a discontinuous node;
if the parameter to be checked is smaller than or equal to the check threshold, the corresponding node to be evaluated is marked as a continuous node, and the time period formed by all the continuous nodes is marked as a stable transceiving time period.
5. The internet-based traffic management method according to claim 1, wherein: the step of executing the offset of the ending node of the stable transceiving time period to the direction of the starting node of the stable transceiving time period and calibrating the offset result as an optimized time period comprises the following steps:
acquiring an end node of a stable receiving and transmitting period, and calibrating the end node as a reference offset node;
obtaining a standard offset value, and taking the reference offset node as a starting point, and executing offset processing to the direction of the starting node of the stable receiving and transmitting period according to the standard offset value to obtain an optimized node;
calibrating a time period between the optimization node and the reference offset node as an optimization time period;
wherein the optimized node is located after the start node of the stable transceiving period.
6. The internet-based traffic management method according to claim 1, wherein: before the offset is executed from the end node of the stable transceiving period to the direction of the start node of the stable transceiving period, the method further comprises the following steps:
acquiring the duration of a stable transceiving period, and calibrating the duration as a parameter to be evaluated;
acquiring an evaluation threshold value and comparing the evaluation threshold value with the parameter to be evaluated;
if the parameter to be evaluated is larger than the evaluation threshold, acquiring an ending node of the stable receiving and transmitting period, and calibrating the ending node as a reference offset node;
if the parameter to be evaluated is smaller than or equal to the evaluation threshold, the stable transceiving time period is directly calibrated to be an optimized time period.
7. An internet-based traffic management method according to claim 2, wherein: after the stable receiving and transmitting time period is output, calibrating the stable receiving and transmitting time period as a time period to be evaluated, adding identification serial numbers one by one according to the sequence of the occurrence time of the stable receiving and transmitting time period, and summarizing the stable receiving and transmitting time period as a data set to be evaluated;
setting a plurality of parallel time periods in the monitoring period, counting the number of time periods to be evaluated under the same identification sequence number in each parallel time period, and calibrating the number of time periods to be evaluated as parameters to be compared;
acquiring an evaluation threshold value and comparing the evaluation threshold value with the parameter to be compared;
if the parameter to be compared is larger than the evaluation threshold, calibrating the period to be evaluated corresponding to the parameter to be compared as the parameter to be optimized, and inputting the parameter to be optimized into the self-adaptive regulation model to obtain the regulation period
And if the parameter to be compared is smaller than or equal to the evaluation threshold value, continuing to count the period to be evaluated under the same identification sequence number.
8. The internet-based traffic management method according to claim 7, wherein: the step of inputting the parameters to be optimized into the self-adaptive regulation model to obtain a regulation period comprises the following steps:
acquiring parameters to be optimized, a prediction interval and a currently counted stable transceiving period;
calling a regulation function from the adaptive regulation model;
and inputting the parameters to be optimized, the prediction interval and the current statistical stable transceiving time period into an optimization function together, and calibrating the output result as a regulation time period.
9. An internet-based traffic management system, applied to the internet traffic management method according to any one of claims 1 to 8, characterized in that: comprising the following steps:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring flow transmission information of flow receiving and transmitting equipment in a management area, and the flow receiving and transmitting equipment comprises a flow output end and a user receiving end;
the evaluation module is used for acquiring the total data packet demand of the user receiving end, calibrating the total data packet demand as a parameter to be evaluated, inputting the parameter to be evaluated into an evaluation model, calibrating an output result with a positive value as an output deviation amount, and calibrating a time node corresponding to the output deviation amount as a node to be evaluated;
the verification module is used for inputting the node to be evaluated into a verification model to obtain a stable transceiving period, executing offset of an ending node of the stable transceiving period to the direction of a starting node of the stable transceiving period, and calibrating an offset result as an optimization period;
the allocation module is used for acquiring an allowable allocation data packet under an optimization period starting node, calibrating the allowable allocation data packet as a reference parameter, acquiring a user demand data packet in the optimization period, sending an inquiry instruction to the user receiving end in real time when the reference parameter is smaller than the user demand data packet, and executing data packet allocation to the user receiving end after the user receiving end determines the inquiry instruction.
10. The utility model provides a flow management terminal based on internet which characterized in that: comprising the following steps:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the internet-based traffic management method of any one of claims 1 to 8.
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