CN111954239B - 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 PDFInfo
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- CN111954239B CN111954239B CN202011115526.6A CN202011115526A CN111954239B CN 111954239 B CN111954239 B CN 111954239B CN 202011115526 A CN202011115526 A CN 202011115526A CN 111954239 B CN111954239 B CN 111954239B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/02—Arrangements for optimising operational condition
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- 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 enables the resources in the basic communication network to be fully utilized in the using process of the basic communication network by optimizing the path of the basic communication network on the original basic facility.
Description
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 M who 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 T that node data receipt and sent.
Preferably, the communication path optimization selection module includes a path selection parameter calculation unit and a resource selection constraint calculation unit, and the calculation formula of the path selection parameter calculation unit is as follows:
wherein M is the data transmission safety factor, C0The 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 included in the data channel.
Preferably, the maximum transmission rate C of the data channel of the communication path optimization selection module0The calculation formula of (2) is as follows:
wherein D is0Amount of data transmitted for data channel, t0The time required for transmitting the data volume for the data channel.
Preferably, the calculation formula of the resource selection constraint calculation unit is:
wherein, E is a network set connecting each node, E is a suitable path, and the predicted execution time t (E) is the processing operation time of the computing resource at the end of the path E, B (E) indicates the maximum bandwidth of the network provided by the path E, d (E) indicates the maximum network delay generated by the path E, a is the weight of t (E) a constraint condition, B is the weight of B (E) a constraint condition, and C is the weight of d (E) a constraint condition; TL is t (e) boundary limit condition, DL is b (e) boundary limit condition, EL is d (e) boundary limit condition.
Preferably, the communication path optimization selection module includes the following working steps:
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 total constraint of the system is fulfilled.
Preferably, the node speed calculation module predicts the node data transmission speed based on cloud computing according to a calculation formula:
where V (k) is the k-th predicted execution speed of the transmission node computing resource, akFor the system load degree in the k prediction, vr (k) means that the transmission node calculates the k actual execution speed, ρ is an adjustment parameter for adjusting the proportion of the empirical value and the prefabricated value in different cloud environments, and V (k +1) is the k +1 predicted execution speed of the transmission node calculation resource.
Preferably, the node speed calculation module includes:
step S4: counting the transmission speed of the nodes in the past transmission process, and determining the value of the parameter rho according to the stable condition of the cloud environment;
step S5: predicting the execution speed of the next node according to the past recorded data, and considering the influence of the cloud environment parameter rho 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.
Preferably, the node width A of the node width calculation module0The calculation formula is as follows:
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.
Preferably, the calculation formula of the node length calculation module is as follows:
wherein, T takes 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 is changed, A0Is the node width.
Preferably, the calculation formula of the data transmission safety factor M in the safety factor calculation module is as follows:
where F is the error code in the data transmission at a given time, E0The total number of codes for data transmission at a 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:
a basic communication network optimization system for public security based on cloud computing comprises a communication path optimization selection module 1, a node speed calculation module 2 and a safety factor calculation module 3, wherein 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 factor calculation module 3 is used for calculating a safety condition coefficient M 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 a time interval T between node data receiving and node data sending.
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:
wherein M is the data transmission safety factor, C0The 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 included in the data channel. The path selection parameter H is obtained by analyzing and calculating factors influencing path data transmission, the path is more efficient when the numerical value of the path selection parameter H is larger, and basic communication is optimized by selecting the path with the larger path selection parameter H to replace the path with the smaller path selection parameter H.
Maximum transmission rate C of communication path optimization selection module 1 data channel0The calculation formula of (2) is as follows:
wherein D is0Amount of data transmitted for data channel, t0The 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:
wherein, E is a network set connecting each node, E is a suitable path, and the predicted execution time t (E) is the processing operation time of the computing resource at the end of the path E, B (E) indicates the maximum bandwidth of the network provided by the path E, d (E) indicates the maximum network delay generated by the path E, a is the weight of t (E) a constraint condition, B is the weight of B (E) a constraint condition, and C is the weight of d (E) a constraint condition; TL is t (e) boundary limit condition, DL is b (e) boundary limit condition, EL is d (e) boundary limit condition. 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. The method comprises the steps of limiting a total fluctuation range, namely a total constraint range, calculating constraint conditions of each item through optimization selection, and adding the constraint conditions of each item together to confirm whether a path meets the constraint conditions, wherein the constraint items comprise a proper path e, an expected execution time t (e), a network maximum bandwidth b (e) provided by the path e and a maximum network delay d (e) generated by the path e.
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 total constraint of the system is fulfilled.
The node speed calculation module 2 predicts the node data transmission speed based on cloud computing according to the calculation formula:
where V (k) is the k-th predicted execution speed of the transmission node computing resource, akThe system load degree at the k prediction, Vr (k)The transmission node calculates the k actual execution speed, rho is an adjusting parameter for adjusting the proportion of the empirical value and the prefabricated value in different cloud environments, and V (k +1) is the k +1 predicted execution speed of the transmission node calculation resource. 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 the value of the parameter rho according to the stable condition of the cloud environment;
step S5: predicting the execution speed of the next node according to the past recorded data, and considering the influence of the cloud environment parameter rho 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 A of node width calculation module 2010The calculation formula is as follows:
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:
wherein, T takes 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 is changed, A0Is the node width.
The calculation formula of the data transmission safety factor M in the safety factor calculation module 3 is as follows:
where F is the error code in the data transmission at a given time, E0The total number of codes for data transmission at a 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 data transmission safety coefficient M for a data transmission channel, and the nodeThe width calculation module (201) is used for calculating the transmission bandwidth A of the node0The node length calculation module (202) is used for calculating a time interval T between node data receiving and sending; 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:
where H is a path selection parameter, C0The maximum transmission rate of the data channel is W, the maintenance cost of the data channel is W, and S is the number of nodes contained in the data channel; maximum transmission rate C of the data channel0The calculation formula of (2) is as follows:
wherein D is0Amount of data transmitted for data channel, t0Time required for data channel transmission data volume; the calculation formula of the resource selection constraint calculation unit (102) is as follows:
wherein, E is a network set connecting each node, E is a suitable path, and the predicted execution time t (E) is the processing operation time of the computing resource at the end of the path E, B (E) indicates the maximum bandwidth of the network provided by the path E, d (E) indicates the maximum network delay generated by the path E, a is the weight of t (E) a constraint condition, B is the weight of B (E) a constraint condition, and C is the weight of d (E) a constraint condition; TL is t (e) boundary limit condition, DL is b (e) boundary limit condition, EL is d (e) boundary limit condition.
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 total constraint of the system is fulfilled.
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:
where V (k) is the k-th predicted execution speed of the transmission node computing resource, akFor the system load degree in the k prediction, vr (k) means that the transmission node calculates the k actual execution speed, ρ is an adjustment parameter for adjusting the proportion of the empirical value and the prefabricated value in different cloud environments, and V (k +1) is the k +1 predicted execution speed of the transmission node calculation resource.
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 the value of the parameter rho according to the stable condition of the cloud environment;
step S5: predicting the execution speed of the next node according to the past recorded data, and considering the influence of the cloud environment parameter rho 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 A of the node width calculation module (201)0The calculation formula is as follows:
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:
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.
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:
where F is the error code in the data transmission at a given time, E0The total number of codes for data transmission at a specified time.
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