CN109600432B - Dynamic access method for content center mobile edge network user - Google Patents
Dynamic access method for content center mobile edge network user Download PDFInfo
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- CN109600432B CN109600432B CN201811463076.2A CN201811463076A CN109600432B CN 109600432 B CN109600432 B CN 109600432B CN 201811463076 A CN201811463076 A CN 201811463076A CN 109600432 B CN109600432 B CN 109600432B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/61—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources taking into account QoS or priority requirements
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Abstract
The invention relates to a dynamic access method for a content center mobile edge network user, which is characterized in that a user service request, self characteristics and a network environment are received and reported to a controller through an access node, and the controller provides a user dynamic access control strategy for the access node by taking the service capability reported by the access node, the service request of the user and a service request prediction result of the user as parameters. Because each access node of the mobile edge computing/fog computing network has certain storage capacity, file transmission service is dynamically provided for users according to the self service capacity and the network state of the access node, on one hand, the distributed network performance is optimized and improved, the link load between a central controller and the access node is reduced, and the network operation stability is improved; on the other hand, the method is beneficial to improving the overall throughput of the network and improving the service quality of the user.
Description
Technical Field
The invention relates to a user dynamic access method in a mobile edge computing/fog computing network, belonging to the technical field of computing and communication.
Background
With the explosive growth of mobile data, current network technologies (such as 4G/WiFi) cannot handle the current huge data growth due to lack of local data analysis and processing capability. Meanwhile, the massive data causes a plurality of problems to the network price based on the cloud server, such as: too much link load, too much delay, etc. On the other hand, a new generation of network prices, namely mobile edge computing/fog computing network technologies, is being urged with cheaper and ubiquitous computing, communication and storage resources. The technology effectively utilizes computing, communication and storage resources from the cloud to the user side, and can support high-speed data communication and delay-sensitive application at the same time. In addition, due to the flexible deployment of the positions and the service capabilities of the computing nodes, convenience is provided for the user-centered service.
In order to alleviate transmission link pressure and reduce file transmission delay, it has been a practice to store files in a distributed manner on network edge nodes, and in this mode, all service capability information of all edge computing nodes is uploaded to a computing node central controller. The compute node central controller provides lower latency file transfer services to mobile users by optimizing file storage on the compute nodes at the edge of the network. In this service mode, no dynamic association between the mobile user and the computing node (i.e. dynamic access by the user) is considered, which also directly affects the quality of service for the user. Meanwhile, in an edge computing network/a fog computing network, a central control node often has strong analysis and calculation capacity and has prediction capacity on file requests of users within a certain error range, and the service quality of the users can be further improved by utilizing the prediction results of the central control node on the file requests of the users.
Disclosure of Invention
The purpose of the invention is: reduce the delay of document transmission service and increase the network throughput.
In order to achieve the above object, a technical solution of the present invention is to provide a dynamic access method for a content center mobile edge network user, which is characterized by comprising the following steps:
firstly, a user sends a service request for requesting file transmission service to at least one access node;
secondly, the access node receives and reports the service request, the self service capability and the current network state of the user to a network central controller;
thirdly, the network central controller only processes the same service request forwarded by each user from different access nodes once, the service request is put into a file request queue, meanwhile, the network central controller calculates the predicted service request of the same user in a period of time in the future by utilizing a user behavior analysis prediction algorithm based on the received service request, and synchronously puts the predicted service request into the file request prediction queue while putting the service request of the same user into the file request queue;
fourthly, the network central controller calculates the user dynamic access strategy of the current time slot by utilizing the user request queue, the prediction request queue and the current network state and sends the user dynamic access strategy to each access node;
and fifthly, each access node selects a certain user from all the users to connect with the access node according to the received user dynamic access strategy and provides file service for the user, each access node determines whether to return a service result to the network central controller according to whether to provide the service, and the network central controller updates the user service request queue according to the service result reported by each access node.
Preferably, in the first step, the service request includes a file request size, a file request type and a quality of service requirement.
Preferably, in the fourth step, the method for calculating the user dynamic access policy of the current time slot includes the following steps:
step 401, summing the file request queue, the file request prediction queue and the network control parameter of each user in the current time slot;
step 402, multiplying the channel state parameters of each user between the current time slot and each access node with the summation result obtained in step 401, and taking the multiplication result as the dynamic access strategy control parameters of each user;
step 403, the network central controller selects the user access network with the maximum dynamic access policy control parameter in the global scope, and simultaneously ensures that each user is connected with at most one access node, and each access node is connected with at most one user.
Preferably, in the fifth step, the service result includes the user object served by the current access node, the size and type of the file served by the current access node.
The invention provides a user dynamic access method in a content center mobile edge network based on user behavior prediction, which utilizes the prediction result of the user behavior and the network dynamic characteristics to carry out dynamic access control on a user so as to provide low-delay/high-network throughput service.
Compared with the prior art, the invention has the following beneficial effects:
because each access node of the mobile edge computing/fog computing network has certain storage capacity, file transmission service is dynamically provided for users according to the self service capacity and the network state of the access node, on one hand, the distributed network performance is optimized and improved, the link load between a central controller and the access node is reduced, and the network operation stability is improved; on the other hand, the method is beneficial to improving the overall throughput of the network and improving the service quality of the user.
Drawings
FIG. 1 is a diagram of a file request service architecture;
FIG. 2 is a file request flow diagram;
FIG. 3 is a flow chart of reporting access node capability;
FIG. 4 is a flow chart for providing a user dynamic access policy;
fig. 5 is a flow chart of file service provisioning.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
As shown in fig. 1, in the mobile edge computing/cloud computing network, a user may send a service request with a file service request parameter to an access node layer in the network, and the access node sends the received service request, its own service capability, and a network state to a network central controller, and the network central controller assigns a dynamic access policy to each user based on a prediction result of the service request of the current user, a user request which is not currently serviced, the capability of each access node, and a network state, and the access layer completes user access control and provides a file transfer service for the user.
The invention provides a user dynamic access method in a mobile edge network based on user behavior prediction, which aims to provide an online file transmission service in a mobile edge computing/fog computing network, combines prediction scheduling with access node service performance, and provides a corresponding file transmission service strategy for the user dynamic access network based on the user dynamic access network, and comprises the following steps:
firstly, a user sends a service request for requesting file transmission service to at least one access node, wherein the service request comprises a file request size, a file request type and a service quality requirement;
secondly, the access node receives and reports the service request, the self service capability and the current network state of the user to a network central controller;
thirdly, the network central controller only processes the same service request forwarded by each user from different access nodes once, the service request is put into a file request queue, meanwhile, the network central controller calculates the predicted service request of the same user in a period of time in the future by utilizing a user behavior analysis prediction algorithm based on the received service request, and synchronously puts the predicted service request into the file request prediction queue while putting the service request of the same user into the file request queue;
fourthly, the network central controller calculates the user dynamic access strategy of the current time slot by using the user request queue, the prediction request queue and the current network state, and sends the user dynamic access strategy to each access node, wherein: the method for calculating the user dynamic access strategy of the current time slot comprises the following steps:
step 401, summing the file request queue, the file request prediction queue and the network control parameter of each user in the current time slot;
step 402, multiplying the channel state parameters of each user between the current time slot and each access node with the summation result obtained in step 401, and taking the multiplication result as the dynamic access strategy control parameters of each user;
step 403, the network central controller selects the user access network with the maximum dynamic access policy control parameter in the global scope, and simultaneously ensures that each user is connected with at most one access node, and each access node is connected with at most one user;
and fifthly, each access node selects a certain user from all the users to connect with the access node according to the received user dynamic access strategy and provides file service for the user, each access node determines whether to return a service result to the network central controller according to whether to provide the service, and the service result comprises a user object served by the current access node and the size and type of the served file. And the network central controller updates the user service request queue according to the service result reported by each access node.
As shown in fig. 2, when a user generates a service request, the user will send a service request R to each access node of the access node layer, where R is (a, F, T), where: a represents the file request size; f represents a file request type; t represents a user characteristic including a user location and the like.
As shown in fig. 3, the access node in the network reports the received information of the service request R, its service capability, network status, etc. to the central network controller.
As shown in fig. 4, the network central controller specifies a dynamic access policy for the user based on the received service request R, the prediction result of the service request R, the service capability of the access node, and the network state, and sends the policy to each access node.
The network central controller takes a certain service performance index as a basis when a user dynamic access strategy is customized. For example, for low latency demanding tasks, the network central controller needs to formulate an access policy that minimizes file transfer latency.
As shown in fig. 5, the access node performs user access control according to the user access control policy provided by the network central controller and completes the process of file request service.
After the access node finishes the user file request service, whether to return the processing result to the network central controller is selected according to whether to carry out the file transmission service, so that the network central controller can update the user file request queue to calculate the next round of user access strategy.
Claims (3)
1. A dynamic access method for a content center mobile edge network user is characterized by comprising the following steps:
firstly, a user sends a service request for requesting file transmission service to at least one access node;
secondly, the access node receives and reports the service request, the self service capability and the current network state of the user to a network central controller;
thirdly, the network central controller only processes the same service request forwarded by each user from different access nodes once, the service request is put into a file request queue, meanwhile, the network central controller calculates the predicted service request of the same user in a period of time in the future by utilizing a user behavior analysis prediction algorithm based on the received service request, and synchronously puts the predicted service request into the file request prediction queue while putting the service request of the same user into the file request queue;
fourthly, the network central controller calculates the user dynamic access strategy of the current time slot by utilizing the user request queue, the prediction request queue and the current network state and sends the user dynamic access strategy to each access node;
and fifthly, each access node selects a certain user from all the users to connect with the access node according to the received user dynamic access strategy and provides file service for the user, each access node determines whether to return a service result to the network central controller according to whether to provide the service, and the network central controller updates the user service request queue according to the service result reported by each access node.
2. The dynamic access method for the content center mobile edge network user as claimed in claim 1, wherein in the first step, the service request includes file request size, file request type and service quality requirement.
3. The dynamic access method of claim 1, wherein in the fifth step, the service result includes the user object served by the current access node, the size and type of the file served by the current access node.
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