CN111954239A - Cloud computing-based basic communication network optimization system for public security - Google Patents

Cloud computing-based basic communication network optimization system for public security Download PDF

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CN111954239A
CN111954239A CN202011115526.6A CN202011115526A CN111954239A CN 111954239 A CN111954239 A CN 111954239A CN 202011115526 A CN202011115526 A CN 202011115526A CN 111954239 A CN111954239 A CN 111954239A
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data
calculation module
transmission
path
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CN111954239B (en
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王玲
陈淑君
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Nanjing Xinyida Computing Technology Co ltd
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南京信同诚信息技术有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/12—Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality

Abstract

The invention belongs to the technical field of cloud computing communication optimization, and particularly relates to a cloud computing-based public security basic communication network optimization system which comprises a communication path optimization selection module, a node speed calculation module and a safety factor calculation module, wherein the communication path optimization selection module is used for calculating and selecting an optimal network communication path, the node speed calculation module comprises a node width calculation module and a node length calculation module, the safety factor calculation module is used for calculating a safety condition coefficient for a data transmission channel, the node width calculation module is used for calculating the transmission bandwidth of a node, and the node length calculation module is used for calculating the time interval of receiving and sending node data. The invention optimizes the path of the basic communication network on the infrastructure, so that the resources in the basic communication network can be fully utilized in the using process of the basic communication network.

Description

Cloud computing-based basic communication network optimization system for public security
Technical Field
The invention belongs to the technical field of cloud computing communication optimization, and particularly relates to a cloud computing-based public security basic communication network optimization system.
Background
In the existing communication network optimization, various network optimization tools and systems are adopted to collect network data of a communication network, and then comprehensive data processing and analysis are carried out by combining actual service types and optimization requirements of network equipment and operators, so that the mobile communication network which is built or put into operation formally is correspondingly adjusted and optimized, and the stability, reliability, high efficiency and applicability of the communication network are continuously enhanced. In the prior art, a basic communication network is optimized through engineering optimization, so that the bearing capacity and the transmission capacity of the communication network in unit strength are not improved, the use efficiency of the basic communication network cannot be improved, and resource waste and system redundancy are caused. The system achieves the purpose of optimizing the communication network by optimizing the path selection and optimizing the resource selection of the basic communication network for public security.
Disclosure of Invention
The invention aims to provide a cloud computing-based public security basic communication network optimization system to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides a basic communication network optimization system is used to public security based on cloud, includes communication path optimization selection module, node speed calculation module and factor of safety calculation module, communication path optimization selection module is used for calculating and selects the optimal route of network communication, node speed calculation module includes node width calculation module and node length calculation module, factor of safety calculation module is used for calculating the safe condition coefficient that is used for the data transmission passageway, node width calculation module is used for calculating the transmission bandwidth of node, node length calculation module is used for calculating the time interval of node data receipt and transmission.
The communication path optimization selection module comprises a path selection parameter calculation unit and a resource selection constraint calculation unit, wherein the calculation formula of the path selection parameter calculation unit is as follows:
Figure 735917DEST_PATH_IMAGE001
；
wherein, M is a data transmission safety factor, C is a maximum transmission rate of the data channel, W is a data channel maintenance cost, T is a data channel data transmission response time, and S is a node number contained in the data channel.
The calculation formula of the maximum transmission rate C of the communication path optimization selection module data channel is as follows:
Figure 740914DEST_PATH_IMAGE002
；
wherein the content of the first and second substances,
Figure 504688DEST_PATH_IMAGE003
for the amount of data to be transmitted by the data channel,
Figure 264833DEST_PATH_IMAGE004
the time required for transmitting the data volume for the data channel.
The calculation formula of the resource selection constraint calculation unit is as follows:
Figure 469550DEST_PATH_IMAGE005
；
where e is the appropriate path, the expected execution time
Figure 606133DEST_PATH_IMAGE006
Processing the job time for the computation resource at the end of path e,
Figure 212695DEST_PATH_IMAGE007
refers to the maximum bandwidth of the network provided by path e,
Figure 409321DEST_PATH_IMAGE008
the maximum network delay generated by finger path e, A is
Figure 101333DEST_PATH_IMAGE006
Weight of the constraint, B is
Figure 41608DEST_PATH_IMAGE007
Weight of constraint, C is
Figure 768255DEST_PATH_IMAGE008
Weights of three constraints; TL is
Figure 870203DEST_PATH_IMAGE006
Boundary condition, DL is
Figure 49512DEST_PATH_IMAGE007
Is EL of
Figure 527898DEST_PATH_IMAGE008
A boundary constraint.
The working steps of the communication path optimization selection module are as follows:
step S1: obtaining an influence parameter in a path selection parameter calculation formula, and calculating and predicting through data statistics to obtain a predicted value of the influence parameter;
step S2: making a total constraint condition according to the total demand of the system, and calculating the total constraint condition to meet the total constraint condition of the system according to the predicted value;
step S3: the path selection parameter H is calculated in case the system constraints are met.
The node speed calculation module predicts the node data transmission speed based on cloud computing according to the calculation formula:
Figure 843473DEST_PATH_IMAGE009
；
wherein the content of the first and second substances,
Figure 381901DEST_PATH_IMAGE010
is the transmission node computing resource
Figure 782927DEST_PATH_IMAGE011
The sub-prediction of the execution speed is performed,
Figure 65004DEST_PATH_IMAGE012
is as follows
Figure 235085DEST_PATH_IMAGE011
The degree of system load at the time of the sub-prediction,
Figure 944415DEST_PATH_IMAGE013
the finger transmitting node calculates
Figure 832737DEST_PATH_IMAGE011
The next to the actual speed of execution,
Figure 652925DEST_PATH_IMAGE014
is an adjustment parameter for adjusting the specific gravity of the empirical value and the prepared value in different cloud environments,
Figure 943092DEST_PATH_IMAGE015
is the transmission node computing resource
Figure 823323DEST_PATH_IMAGE016
The sub-prediction execution speed.
The node speed calculation module comprises the following working steps:
step S4: counting the transmission speed of the nodes in the past transmission process, and determining parameters according to the stable condition of the cloud environment
Figure 198941DEST_PATH_IMAGE014
Taking the value of (A);
step S5: predicting the execution speed of the next node according to the past recorded data, and considering the cloud environment parameters
Figure 88400DEST_PATH_IMAGE014
The impact on the calculation process;
step S6: and obtaining the prediction of the node transmission speed stability by predicting the backward execution speed of the node and referring to the prediction result.
Node width of the node width calculation module
Figure 233073DEST_PATH_IMAGE017
The calculation formula is as follows:
Figure 284206DEST_PATH_IMAGE018
；
where D is the data amount of the transmission data, and t is the time taken to transmit the data with the data amount D.
The calculation formula of the node length calculation module is as follows:
Figure 147120DEST_PATH_IMAGE019
；
wherein. T is the minimum value, D is the data volume of the transmission data, the value of the data volume D is gradually increased from 0 to T and changes, and A is the node width.
The calculation formula of the data transmission safety factor M in the safety factor calculation module is as follows:
Figure 309111DEST_PATH_IMAGE020
；
wherein, F is the error code in the data transmission in the specified time, and E is the total code number of the data transmission in the specified time.
Compared with the prior art, the invention has the beneficial effects that: when the method is used, the path of the basic communication network is optimized on the original basic facility, so that the resources in the basic communication network can be fully utilized in the using process of the basic communication network.
The invention realizes optimization of the basic communication network by calculating the transmission rate and the response time of the nodes of the basic communication network, the number of the nodes participating in data transmission in the data transmission process of the basic communication network, and calculating and knowing the data transmission speed of the data channel consisting of the nodes, the channel response time and the resources required by channel maintenance, and thus, the resources in the basic communication network are utilized to the maximum extent through calculation.
Drawings
FIG. 1 is a schematic diagram of a communication network optimization system according to the present invention;
FIG. 2 is a schematic diagram of a communication optimization selection module according to the present invention;
FIG. 3 is a schematic structural diagram of a node velocity calculation module of the present invention:
FIG. 4 is a flow chart of the operation of the communication logging optimization selection module of the present invention:
FIG. 5 is a flow chart of node speed prediction steps of the present invention.
In the figure: the system comprises a communication path optimization selection module 1, a path selection parameter calculation unit 101, a resource selection constraint calculation unit 102, a node speed calculation module 2, a node width calculation module 201, a node length calculation module 202 and a safety factor calculation module 3.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution:
the utility model provides a basic communication network optimization system is used to public security based on cloud, includes communication path optimization selection module 1, node speed calculation module 2 and factor of safety calculation module 3, and communication path optimization selection module 1 is used for calculating the optimal path of selection network communication, and node speed calculation module 2 includes node width calculation module 201 and node length calculation module 202, and factor of safety calculation module 3 is used for calculating the safe condition coefficient that is used for the data transmission passageway, node width calculation module 201 is used for calculating the transmission bandwidth of node, and node length calculation module 202 is used for calculating the time interval of node data receipt and transmission.
The communication path optimization selection module 1 includes a path selection parameter calculation unit 101 and a resource selection constraint calculation unit 102, where the calculation formula of the path selection parameter calculation unit 101 is as follows:
Figure 308291DEST_PATH_IMAGE001
；
wherein M isAnd C is the maximum transmission rate of the data channel, W is the maintenance cost of the data channel, T is the data transmission response time of the data channel, and S is the number of nodes contained in the data channel. Path selection parameter
Figure 264745DEST_PATH_IMAGE021
Is obtained by analyzing and calculating the factors influencing the path data transmission, and the path selection parameters
Figure 614955DEST_PATH_IMAGE022
The larger the numerical value is, the more efficient the path is, and the parameters are selected by selecting the path
Figure 580637DEST_PATH_IMAGE022
Larger paths instead of path selection parameters
Figure 699903DEST_PATH_IMAGE022
Smaller paths allow the underlying communication to be optimized.
The calculation formula of the maximum transmission rate C of the data channel of the communication path optimization selection module 1 is as follows:
Figure 815540DEST_PATH_IMAGE002
；
wherein the content of the first and second substances,
Figure 387467DEST_PATH_IMAGE003
for the amount of data to be transmitted by the data channel,
Figure 156840DEST_PATH_IMAGE004
the time required for transmitting the data volume for the data channel. The transmission rate of a channel, which reflects the overall transmission rate status of the channel's nodes, is affected by each node of the channel.
The calculation formula of the resource selection constraint calculation unit 102 is:
Figure 396191DEST_PATH_IMAGE005
；
where e is the appropriate path, the expected execution time
Figure 960028DEST_PATH_IMAGE006
Processing the job time for the computation resource at the end of path e,
Figure 19251DEST_PATH_IMAGE007
refers to the maximum bandwidth of the network provided by path e,
Figure 61156DEST_PATH_IMAGE008
the maximum network delay generated by finger path e, A is
Figure 420593DEST_PATH_IMAGE006
Weight of the constraint, B is
Figure 155331DEST_PATH_IMAGE007
Weight of constraint, C is
Figure 701850DEST_PATH_IMAGE008
Weights of three constraints; TL is
Figure 547446DEST_PATH_IMAGE006
Boundary condition, DL is
Figure 495811DEST_PATH_IMAGE007
Is EL of
Figure 667029DEST_PATH_IMAGE008
A boundary constraint. The stability of the network is improved by setting the limiting conditions of the basic communication network, so that the basic communication network is kept in a stable state in the using process. Firstly, defining a total fluctuation range, namely a total constraint range, then, optimally selecting and calculating the constraint condition of each project, and then adding the constraint conditions of each project together to confirm whether the path meets the constraint condition, wherein the constraint project comprises a proper path e and a predicted execution time
Figure 700844DEST_PATH_IMAGE006
Path e provides the maximum bandwidth of the network
Figure 615710DEST_PATH_IMAGE007
And the maximum network delay incurred by path e
Figure 418581DEST_PATH_IMAGE008
。
The working steps of the communication path optimization selection module 1 are as follows:
step S1: obtaining an influence parameter in a path selection parameter calculation formula, and calculating and predicting through data statistics to obtain a predicted value of the influence parameter;
step S2: making a total constraint condition according to the total demand of the system, and calculating the total constraint condition to meet the total constraint condition of the system according to the predicted value;
step S3: the path selection parameter H is calculated in case the system constraints are met.
The node speed calculation module 2 predicts the node data transmission speed based on cloud computing according to the calculation formula:
Figure 495122DEST_PATH_IMAGE009
；
wherein the content of the first and second substances,
Figure 16233DEST_PATH_IMAGE010
is the transmission node computing resource
Figure 469211DEST_PATH_IMAGE011
The sub-prediction of the execution speed is performed,
Figure 392168DEST_PATH_IMAGE012
is as follows
Figure 639609DEST_PATH_IMAGE011
The degree of system load at the time of the sub-prediction,
Figure 648017DEST_PATH_IMAGE013
the finger transmitting node calculates
Figure 639107DEST_PATH_IMAGE011
The next to the actual speed of execution,
Figure 682149DEST_PATH_IMAGE014
is an adjustment parameter for adjusting the specific gravity of the empirical value and the prepared value in different cloud environments,
Figure 100492DEST_PATH_IMAGE015
is the transmission node computing resource
Figure 596195DEST_PATH_IMAGE016
The sub-prediction execution speed. The node speed calculating module 2 is used for calculating and predicting the node transmission speed, the node speed calculating module 2 is used for cloud-calculating the predicted node transmission speed by referring to the transmission speed of the past node in the system, the node stability is known by predicting a long period of time, the more stable the node is, the more stable the predicted speed variation trend is, and the more unstable the predicted variation trend is.
The node speed calculation module 2 comprises the following working steps:
step S4: counting the transmission speed of the nodes in the past transmission process, and determining parameters according to the stable condition of the cloud environment
Figure 390976DEST_PATH_IMAGE014
Taking the value of (A);
step S5: predicting the execution speed of the next node according to the past recorded data, and considering the cloud environment parameters
Figure 22946DEST_PATH_IMAGE014
The impact on the calculation process;
step S6: and obtaining the prediction of the node transmission speed stability by predicting the backward execution speed of the node and referring to the prediction result.
Node width of node width calculation module 201
Figure 877769DEST_PATH_IMAGE017
The calculation formula is as follows:
Figure 860769DEST_PATH_IMAGE018
；
where D is the data amount of the transmission data, and t is the time taken to transmit the data with the data amount D.
The calculation formula of the node length calculation module 202 is as follows:
Figure 459240DEST_PATH_IMAGE019
；
wherein. T is the minimum value, D is the data volume of the transmission data, the value of the data volume D is gradually increased from 0 to T and changes, and A is the node width.
The calculation formula of the data transmission safety factor M in the safety factor calculation module 3 is as follows:
Figure 211296DEST_PATH_IMAGE020
；
wherein, F is the error code in the data transmission in the specified time, and E is the total code number of the data transmission in the specified time. The safety factor calculation module 3 knows the influence of the channel on data transmission by calculating the error rate, and when the error rate is lower, the more stable the channel for transmitting data is, the less error is easy to occur.
The specific working process of the invention is as follows: when the communication network optimization and selection module 1 is used, optimization parameter calculation is carried out on the path through the communication path optimization and selection module 1 to obtain optimization parameters of the path, required corresponding parameters are calculated through the node speed calculation module 2 and the safety factor calculation module 3 in the calculation process of the optimization parameters of the path, constraint conditions of the path are calculated in the resource selection constraint calculation unit 102, the path is optimized through the limitation of the path in the communication network and the calculation of the optimization parameters, and therefore the data transmission speed of the path is guaranteed while the path passes through fewer nodes, and stable transmission of data is achieved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. The utility model provides a basic communication network optimization system is used to public security based on cloud, includes communication path optimization selection module (1), node speed calculation module (2) and factor of safety calculation module (3), its characterized in that: the communication path optimization selection module (1) is used for calculating and selecting an optimal network communication path, the node speed calculation module (2) comprises a node width calculation module (201) and a node length calculation module (202), the safety coefficient calculation module (3) is used for calculating a safety condition coefficient for a data transmission channel, the node width calculation module (201) is used for calculating the transmission bandwidth of a node, and the node length calculation module (202) is used for calculating the time interval between the receiving and sending of node data; the communication path optimization selection module (1) comprises a path selection parameter calculation unit (101) and a resource selection constraint calculation unit (102), wherein the calculation formula of the path selection parameter calculation unit (101) is as follows:
Figure 207769DEST_PATH_IMAGE001
；
wherein M is a data transmission safety factor, C is a maximum transmission rate of a data channel, W is a data channel maintenance cost, T is a data channel data transmission response time, and S is the number of nodes included in the data channel; the calculation formula of the maximum transmission rate C of the data channel of the communication path optimization selection module (1) is as follows:
Figure 869608DEST_PATH_IMAGE002
；
wherein the content of the first and second substances,
Figure 740613DEST_PATH_IMAGE003
for the amount of data to be transmitted by the data channel,
Figure 347174DEST_PATH_IMAGE004
time required for data channel transmission data volume; the calculation formula of the resource selection constraint calculation unit (102) is as follows:
Figure 278221DEST_PATH_IMAGE005
；
where e is the appropriate path, the expected execution time
Figure 439075DEST_PATH_IMAGE006
Processing the job time for the computation resource at the end of path e,
Figure 848191DEST_PATH_IMAGE007
refers to the maximum bandwidth of the network provided by path e,
Figure 309259DEST_PATH_IMAGE008
the maximum network delay generated by finger path e, A is
Figure 676787DEST_PATH_IMAGE006
Weight of the constraint, B is
Figure 856095DEST_PATH_IMAGE007
Weight of constraint, C is
Figure 68902DEST_PATH_IMAGE008
Weights of three constraints; TL is
Figure 384477DEST_PATH_IMAGE006
Boundary condition, DL is
Figure 657326DEST_PATH_IMAGE007
Is EL of
Figure 58352DEST_PATH_IMAGE008
A boundary constraint.
2. The cloud computing-based public security infrastructure communication network optimization system of claim 1, wherein: the working steps of the communication path optimization selection module (1) are as follows:
step S1: obtaining an influence parameter in a path selection parameter calculation formula, and calculating and predicting through data statistics to obtain a predicted value of the influence parameter;
step S2: making a total constraint condition according to the total demand of the system, and calculating the total constraint condition to meet the total constraint condition of the system according to the predicted value;
step S3: the path selection parameter H is calculated in case the system constraints are met.
3. The cloud computing-based public security infrastructure communication network optimization system of claim 1, wherein: the node speed calculation module (2) predicts the node data transmission speed based on cloud computing according to the calculation formula:
Figure 74849DEST_PATH_IMAGE009
；
wherein the content of the first and second substances,
Figure 57980DEST_PATH_IMAGE010
is the transmission node computing resource
Figure 767310DEST_PATH_IMAGE011
The sub-prediction of the execution speed is performed,
Figure 655632DEST_PATH_IMAGE012
is as follows
Figure 475820DEST_PATH_IMAGE011
The degree of system load at the time of the sub-prediction,
Figure 438091DEST_PATH_IMAGE013
the finger transmitting node calculates
Figure 52743DEST_PATH_IMAGE011
The next to the actual speed of execution,
Figure 162782DEST_PATH_IMAGE014
is an adjustment parameter for adjusting the specific gravity of the empirical value and the prepared value in different cloud environments,
Figure 521082DEST_PATH_IMAGE015
is the transmission node computing resource
Figure 196914DEST_PATH_IMAGE016
The sub-prediction execution speed.
4. The cloud computing-based public security infrastructure communication network optimization system of claim 3, wherein: the node speed calculation module (2) comprises the following working steps:
step S4: counting the transmission speed of the nodes in the past transmission process, and determining parameters according to the stable condition of the cloud environment
Figure 716888DEST_PATH_IMAGE014
Taking the value of (A);
step S5: predicting the execution speed of the next node according to the past recorded data, and considering the cloud environment parameters
Figure 579802DEST_PATH_IMAGE014
The impact on the calculation process;
step S6: and obtaining the prediction of the node transmission speed stability by predicting the backward execution speed of the node and referring to the prediction result.
5. The cloud computing-based public security infrastructure communication network optimization system of claim 1, wherein: node width of the node width calculation module (201)
Figure 487932DEST_PATH_IMAGE017
The calculation formula is as follows:
Figure 752691DEST_PATH_IMAGE018
；
where D is the data amount of the transmission data, and t is the time taken to transmit the data with the data amount D.
6. The cloud computing-based public security infrastructure communication network optimization system of claim 1, wherein: the calculation formula of the node length calculation module (202) is as follows:
Figure 974725DEST_PATH_IMAGE019
；
wherein, T takes the minimum value, D is the data volume of transmission data, and the data volume D value is gradually increased from 0 to T and is changed, and A is the node width.
7. The cloud computing-based public security infrastructure communication network optimization system of claim 1, wherein: the data transmission safety factor M in the safety factor calculation module (3) has the calculation formula as follows:
Figure 590514DEST_PATH_IMAGE020
；
wherein, F is the error code in the data transmission in the specified time, and E is the total code number of the data transmission in the specified time.
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