CN114615264B - Urban traffic network data transmission distribution method under Bian Yun cooperative computing environment - Google Patents

Urban traffic network data transmission distribution method under Bian Yun cooperative computing environment Download PDF

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CN114615264B
CN114615264B CN202210161069.7A CN202210161069A CN114615264B CN 114615264 B CN114615264 B CN 114615264B CN 202210161069 A CN202210161069 A CN 202210161069A CN 114615264 B CN114615264 B CN 114615264B
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马捷
王牵莲
陈景旭
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Southeast University
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Abstract

The invention establishes a data transmission and distribution method of an urban traffic network in an edge cloud cooperative computing environment, which is used for realizing real-time data transmission and computing tasks of a large-scale urban traffic network. The invention cooperates with cloud storage and edge computing technology to establish an urban traffic network data transmission distribution model based on a task completion time minimization principle. The invention provides a calculation method capable of solving the data transmission distribution model. By applying the model, a data packet distribution scheme based on real-time data transmission and calculation tasks of a large-scale urban traffic network can be optimized, the calculation resources of a user mobile terminal in the Internet of things are fully utilized, and the time for data transmission and processing is minimized, so that Bian Yun collaborative calculation scenes (such as large-scale urban traffic network distribution problems, ultra-large-scale public transportation network optimization problems and the like) of various traffic travel demands of a large-scale various urban traffic networks are efficiently realized, and a powerful support is provided for the construction of an urban intelligent network system.

Description

Urban traffic network data transmission distribution method under Bian Yun cooperative computing environment
Technical Field
The invention relates to a data transmission and distribution method of urban traffic network, in particular to a data transmission and distribution method of urban traffic network under an edge cloud cooperative computing environment,
background
The intelligent network is a special intelligent scene realized by urban intelligent agents, is a necessary way for promoting the modernization of urban treatment systems and treatment capacity, and is also an important competitiveness of urban development in the future. Behind the construction of urban intelligent network conjuncts is the increased data volume of "blowout", which has not been able to provide a real-time response well by means of mobile cloud computing alone (Mobile Cloud Calculation, MCC). For this purpose, a mobile edge computing (Mobile Edge Calculation, MEC) mode has been developed that uses network edge devices to process the analysis data. By applying edge calculation, the response delay can be effectively shortened, the network load can be reduced, and the storage cost can be reduced. The cloud storage and the edge calculation are cooperated, so that advantages of the cloud storage and the edge calculation are complementary, the advantages of low price, high calculation power, easiness in expansion and the like of the cloud storage are brought into play, and the cloud storage has become a development trend of future urban intelligent network. However, the edge devices often have a lightweight feature, and thus, how to more reasonably and efficiently utilize the computing resources of the edge devices is an important challenge.
A resource management system (application number 202111110654.6) applied to an Internet of things edge cloud collaborative computing environment is established, and the resource management system comprising an edge computing module, a cloud computing module and a task allocation module is established, and the computing task allocation of each terminal and a cloud is intelligently controlled to maintain a high-efficiency stable system running state. The distribution and exit method (application number 202110920295.4) of the edge computing nodes based on the branch neural network effectively enhances the safety of the neural network model under the edge computing and improves the computing efficiency of the model through three steps of training the neural network model, deploying the branch neural network model at the edge computing nodes and selecting the model exit points. Although both the prior inventions relate to edge calculation, the former balances task allocation of all edge terminals in the internet of things by evaluating the load of calculation tasks, and the latter mainly selects a plurality of nodes to deploy a neural network model from the safety of edge calculation, and the full utilization of surplus calculation power in the network is not considered.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the urban traffic network data transmission distribution method under the edge cloud cooperative computing environment is provided, a data transmission distribution model based on a task completion time minimization principle is established by cooperating with cloud storage and edge computing technology, and a computing method for solving the model is provided. Therefore, the real-time calculation scene of various urban traffic networks is more efficiently realized, and a powerful support is provided for the construction of an urban intelligent network system.
The invention adopts the following technical scheme for solving the technical problems:
bian Yun data transmission and distribution method for urban traffic network under cooperative computing environment comprises the following steps:
step1, under a side cloud cooperative computing environment, a user mobile terminal in an urban traffic network initiates a task request to a cloud, and the cloud generates an original data packet according to the task request initiated by the user mobile terminal and simultaneously requests to transmit the original data packet to the user mobile terminal with surplus computing power;
step2, when a user mobile terminal with a margin of calculation receives a plurality of original data packets, calculating the time t used in the whole data transmission and processing process k The following are provided:
wherein,delay of downloading original data packet from cloud by user mobile terminal k is represented by +.>The delay of uploading a result data packet to the cloud by the user mobile terminal k is shown; />And->Respectively representing the speed of the user mobile terminal k for downloading the original data packet and uploading the result data packet; i and O respectively represent the sizes of the original data packet downloaded by the user mobile terminal k and the data packet of the uploading result; f (f) k The number of the original data packets for edge calculation of the user mobile terminal k is represented, namely, the number of the original data packets received by the user mobile terminal k; />The time required by the user mobile terminal k to complete the calculation task corresponding to the original data packet is represented;
step3, based on a task completion time minimization principle, establishing an urban traffic network data transmission distribution model in an edge cloud cooperative computing environment, wherein the urban traffic network data transmission distribution model comprises the following concrete steps:
s.t.∑ k f k ＝M
wherein ω is an integral variable, M is the number of user mobile terminals which initiate task requests to the cloud at the same time,representing a natural number set;
step4, solving the data transmission distribution model established in the step3 to obtain the quantity of the distributed original data packets of each user mobile terminal, and distributing the original data packets to the corresponding user mobile terminals by the cloud according to the solving result; the specific process is as follows:
step1: setting x=0, f=1, n=1;
step2: k is {1,2, …, M }, calculate the corresponding kFind the shortest time +.>And replace it with +.>I.e. < ->
Step3: order thef a ＝f a +1；n＝n+1；
Step4: if n < M, returning to Step 2; otherwise, ending the calculation;
wherein, is 0-1 variable, ">Indicating that the nth original data packet is allocated to the user mobile terminal k for processing, otherwise +.> Representing the shortest time required by each user mobile terminal to transmit and process the nth original data packet in the nth iteration, wherein a is the index of the user mobile terminal corresponding to the shortest time, and a is {1,2, …, M }; />Indicating that the nth original data packet is distributed to the user mobile terminal a for processing, f a The number of the original data packets representing the edge calculation of the user mobile terminal a, namely the number of the original data packets received by the user mobile terminal a.
In the step1, M user mobile terminals in the urban traffic network initiate task requests at the same time, the task requests are path planning task requests, the network cloud end packages travel time data required by each task request to form original data packets, M original data packets are formed in a conformal manner, and each original data packet waits to be transmitted to a user mobile terminal with a certain margin of calculation.
In the step2, when the time used for the whole data transmission and the processing process is calculated, the type of the task request initiated by each user mobile terminal is set to be the same, the size of the original data packet generated by each task request is the same, and the size of the result data packet corresponding to each original data packet is the same.
Compared with the prior art, the technical scheme provided by the invention has the following technical effects:
the invention establishes a data transmission distribution model based on a task completion time minimization principle in cooperation with cloud storage and edge computing technology, and provides a computing method for solving the model. The method can be applied to the side cloud cooperative computing scenes (such as urban traffic distribution, customized bus passenger matching and the like) of various urban traffic networks, helps to optimize the data packet distribution mode in the computing process, realizes the effective configuration of computing resources of the user mobile terminal, and provides a powerful support for the construction of an urban intelligent network system.
Drawings
Fig. 1 is a flowchart of a method for data transmission and distribution of an urban traffic network in a cooperative computing environment according to the present invention Bian Yun.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the drawings are exemplary only for explaining the present invention and are not to be construed as limiting the present invention.
The invention provides a data transmission and distribution method of an urban traffic network in an edge cloud cooperative computing environment, which is shown in fig. 1 and comprises the following steps:
1) The user mobile terminal in the urban traffic network initiates a task request to the cloud, and the cloud generates an original data packet according to the task request and requests to be transmitted to the user mobile terminal.
Under the scene of large data volume and high data security, bian Yun is used for storing main data required by the collaborative computing task in the cloud. The cloud end of the urban traffic network side cloud cooperative computing system stores travel schedules of the whole city. The travel schedule consists of current travel time information among all nodes in a road network topology structure, and is the core number of real-time calculation tasks of a plurality of large-scale urban traffic networks such as real-time traffic distribution, navigation path selection, common travel matching and the likeOn a basic basis. Assume that there are N nodes in the topology of the urban road network, each node being denoted as N 1 ，n 2 ,…，n N . The specific form of the travel schedule is shown in table 1. Wherein t is ij Representing node n i And n j Travel time between, i, j e {1,2, …, N } and i+.j.
Table 1 travel schedule for urban traffic network
In order to fully utilize the computing power of the user mobile terminal, the computing tasks and the required data are distributed to the user mobile terminal in the network. When a certain user mobile terminal initiates a request to the cloud terminal, the cloud terminal packages travel time data required by the user mobile terminal to generate an original data packet, and the original data packet is waited to be transmitted to a certain proper user mobile terminal at the network edge for calculation.
2) And calculating the data transmission and processing time of the user mobile terminal.
Assuming that M user mobile terminals in the network initiate requests at the same time, M original data packets waiting for transmission are formed in the edge cloud cooperative computing system. Assuming that the types of requests initiated by each user mobile terminal are the same, the sizes of the original data packets required to be downloaded by each request are similar, and the sizes of the uploaded result data packets are also similar. The edge calculation process is mainly divided into three parts: (1) transmitting the original data packet from the cloud to the mobile terminal; (2) the user mobile terminal completes calculation; (3) and transmitting the result data packet from the mobile terminal to the cloud. For the kth user mobile terminal, the time t for the whole data transmission and processing process is used k Is calculated as follows:
wherein,delay representing downloading data from cloud by user mobile terminal k,/-for>The delay of the data transmission from the user mobile terminal k to the cloud is represented; />And->The speed of downloading and uploading data packets by the user mobile terminal i is represented; i and O respectively represent the sizes of data packets downloaded and uploaded by the user mobile terminal k; f (f) k Representing the number of original data packets of the edge calculation of the user mobile terminal k; />Representing the time required for the user mobile terminal k to complete a computational task corresponding to a data packet, such as planning the fastest path between the departure point and the destination.
3) And establishing an urban traffic network data transmission distribution model under the edge cloud cooperative computing environment based on a task completion time minimization principle.
s.t.∑ k f k ＝M
In the middle ofRepresents a natural number set, ω being an integral variable. The purpose of this model is to minimize the actual time required for the edge cloud collaborative computing system to process the requests of M simultaneously issued user mobile terminals.
4) And solving a data transmission distribution model by using a calculation method.
The specific flow of the calculation method is as follows:
step1: let x=0, f=1.
Step2: calculation ofFind shortest time +.>
Step 3：f a ＝f a +1；n＝n+1。
Step4: if n < M, returning to Step 2; otherwise, the calculation is ended.
Wherein, is a 0-1 variable. />Indicating that the nth original data packet is allocated to the kth user mobile terminal for processing, otherwise +.>x is defined by->The formed vector represents the processing condition of each user mobile terminal aiming at each data packet in the urban traffic network edge cloud cooperative computing system.Indicating the number of data packets processed by each user mobile terminal in the current computing system.Representing the minimum time required for each mobile terminal in the current computing system to transmit and process the nth original data packet, i.ea is the index of the user mobile terminal corresponding to the shortest time, a e {1,2, …, M }. />Meaning and->Identical, f a Meaning of (1) and f k The same applies.
Examples
1) The cloud end of the target city traffic network side cloud cooperative computing system stores a travel schedule of the whole city, and the travel schedule is dynamically updated according to travel time information among nodes in a road network topology structure. Currently in the city for an early Gao Fengtong duty period. At a certain moment, M=200 users initiate a path planning request through mobile terminals such as a smart phone or vehicle navigation, the network cloud terminal packages travel time data required by each request respectively to form M=200 original data packets, and each original data packet waits to be transmitted to a user mobile terminal with a certain margin of power.
2) Suppose that the kth user mobile terminal receives f k The time t for the whole data transmission and processing process of the original data packet k The method comprises the following steps:
the size i=5 of each original packet, and the size o=0.005 of the resulting packet. Assume that the time consumed by each user mobile terminal to complete the fastest path planning task of a data packet is equal, i.eSpecific path planning tasks can be completed by applying main flow path planning algorithms such as CH (Contraction Hierarchies), A-star, CRP (Customizable Route Planning) and the like.
Suppose that the speed of downloading and uploading data packets by the user mobile terminal k is the same, i.eIs provided withIndicating the total delay for downloading and uploading data packets by the user mobile terminal k. R of 200 user mobile terminals k And l k The values of (2) are as shown in Table 2:
TABLE 2 partial example data
3) And based on a task completion time minimization principle, establishing a data transmission distribution model of the real-time path planning scene.
4) According to the calculation method for solving the data transmission allocation model, a pycharm software writing program is applied and operates in the environment of conda 4.9.2 and python 3.8.5. The results obtained are as follows:
objective function value
Solution f= [1.0,2.0,2.0,2.0,1.0,1.0,2.0,3.0,2.0,3.0,1.0,2.0,2.0,1.0,2.0,2.0,1.0,1.0,2.0,3.0,2.0,2.0,3.0,3.0,1.0,2.0,2.0,2.0,2.0,2.0,2.0,2.0,2.0,2.0,2.0,2.0,3.0,3.0,2.0,3.0,2.0,2.0,2.0,2.0,2.0,2.0,1.0,2.0,2.0,1.0,2.0,3.0,2.0,3.0,2.0,2.0,1.0,1.0,3.0,3.0,3.0,2.0,2.0,2.0,1.0,2.0,2.0,3.0,2.0,2.0,2.0,1.0,3.0,3.0,3.0,3.0,1.0,1.0,2.0,1.0,1.0,1.0,3.0,2.0,3.0,2.0,2.0,3.0,1.0,2.0,2.0,2.0,1.0,2.0,2.0,2.0,1.0,2.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 ]] T 。
The above embodiments are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereto, and any modification made on the basis of the technical scheme according to the technical idea of the present invention falls within the protection scope of the present invention.

Claims (3)

1. Bian Yun and the data transmission and distribution method of the urban traffic network under the cooperative computing environment is characterized by comprising the following steps:
step1, under a side cloud cooperative computing environment, a user mobile terminal in an urban traffic network initiates a task request to a cloud, and the cloud generates an original data packet according to the task request initiated by the user mobile terminal and simultaneously requests to transmit the original data packet to the user mobile terminal with surplus computing power;
step2, when a user mobile terminal with a margin of calculation receives a plurality of original data packets, calculating the time t used in the whole data transmission and processing process k The following are provided:
wherein,delay of downloading original data packet from cloud by user mobile terminal k is represented by +.>The delay of uploading a result data packet to the cloud by the user mobile terminal k is shown; />And->Respectively representing the speed of the user mobile terminal k for downloading the original data packet and uploading the result data packet; i and O respectively represent the sizes of the original data packet downloaded by the user mobile terminal k and the data packet of the uploading result; f (f) k The number of the original data packets for edge calculation of the user mobile terminal k is represented, namely, the number of the original data packets received by the user mobile terminal k; />The time required by the user mobile terminal k to complete the calculation task corresponding to the original data packet is represented;
step3, based on a task completion time minimization principle, establishing an urban traffic network data transmission distribution model in an edge cloud cooperative computing environment, wherein the urban traffic network data transmission distribution model comprises the following concrete steps:
s.t.Σ k f k ＝M
wherein ω is an integral variable, M is the number of user mobile terminals which initiate task requests to the cloud at the same time,representing a natural number set;
step4, solving the data transmission distribution model established in the step3 to obtain the quantity of the distributed original data packets of each user mobile terminal, and distributing the original data packets to the corresponding user mobile terminals by the cloud according to the solving result; the specific process is as follows:
step1: setting x=0, f=1, n=1;
step2: k is {1,2, …, M }, calculate the corresponding kFind the shortest time +.>And replace it with +.>I.e. < ->
Step3: order thef a ＝f a +1；n＝n+1；
Step4: if n < M, returning to Step 2; otherwise, ending the calculation;
wherein, is 0-1 variable, ">Indicating that the nth original data packet is allocated to the user mobile terminal k for processing, otherwise +.> Representing the shortest time required by each user mobile terminal to transmit and process the nth original data packet in the nth iteration, wherein a is the index of the user mobile terminal corresponding to the shortest time, and a is {1,2, …, M }; />Indicating that the nth original data packet is distributed to the user mobile terminal a for processing, f a The number of the original data packets representing the edge calculation of the user mobile terminal a, namely the number of the original data packets received by the user mobile terminal a.
2. The method for transmitting and distributing urban traffic network data in a Bian Yun collaborative computing environment according to claim 1, wherein in step1, M user mobile terminals in the urban traffic network initiate task requests at the same time, the task requests are path planning task requests, the network cloud packages travel time data required by each task request into original data packets, M original data packets are formed, and each original data packet waits to be transmitted to a user mobile terminal with a surplus calculation power.
3. The method for distributing data transmission in urban traffic network under Bian Yun collaborative computing environment according to claim 1, wherein in step2, when calculating the time used for the whole data transmission and processing process, the task request type initiated by each user mobile terminal is set to be the same, the size of the original data packet generated by each task request is the same, and the size of the result data packet corresponding to each original data packet is the same.
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Publication number Priority date Publication date Assignee Title
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