WO2021012926A1 - 基于边缘计算的应用重定位方法及装置 - Google Patents

基于边缘计算的应用重定位方法及装置 Download PDF

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Publication number
WO2021012926A1
WO2021012926A1 PCT/CN2020/099981 CN2020099981W WO2021012926A1 WO 2021012926 A1 WO2021012926 A1 WO 2021012926A1 CN 2020099981 W CN2020099981 W CN 2020099981W WO 2021012926 A1 WO2021012926 A1 WO 2021012926A1
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edge computing
terminal
host
application
application relocation
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PCT/CN2020/099981
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English (en)
French (fr)
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黄梅青
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中兴通讯股份有限公司
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Priority to JP2021522472A priority Critical patent/JP7148723B2/ja
Priority to US17/288,366 priority patent/US20210385617A1/en
Priority to EP20843847.3A priority patent/EP3869835A4/en
Publication of WO2021012926A1 publication Critical patent/WO2021012926A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/025—Services making use of location information using location based information parameters
    • H04W4/027—Services making use of location information using location based information parameters using movement velocity, acceleration information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0896—Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
    • H04L41/0897—Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities by horizontal or vertical scaling of resources, or by migrating entities, e.g. virtual resources or entities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/147—Network analysis or design for predicting network behaviour
    • 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
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • 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
    • H04L67/34—Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters 
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0268—Traffic management, e.g. flow control or congestion control using specific QoS parameters for wireless networks, e.g. QoS class identifier [QCI] or guaranteed bit rate [GBR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/025—Services making use of location information using location based information parameters
    • H04W4/026—Services making use of location information using location based information parameters using orientation information, e.g. compass
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/50—Service provisioning or reconfiguring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/10—Connection setup
    • H04W76/14—Direct-mode setup

Definitions

  • the present invention relates to the field of communication technology, in particular to an application relocation method and device based on edge computing.
  • the MEC application relocation process is performed based on the triggering of the UE user plane bearer change, taking into account that the detection of the UE bearer change requires delay, the delay of establishing a new application instance on the new MEC platform, and the application The delay of context transfer from the old MEC platform to the new MEC platform. These delays may cause packet loss at the application layer or even business interruption, thereby affecting the service quality of the business.
  • the technical problem to be solved by the present invention is that the application relocation method based on user plane bearer change detection may cause service QoS degradation or interruption.
  • the invention provides an application relocation method and device based on edge computing.
  • the method for application relocation based on edge computing in the embodiment of the present invention, by predicting the target edge computing host for application relocation in advance, preparation work can be performed on the target edge computing host in advance. Therefore, when a real application relocation request is initiated to the target edge host, the delay caused by the preparation of the application relocation host can be reduced, thereby effectively solving the related technology and shortening the instance establishment and context in the existing relocation process.
  • the transmission delay improves the application switching effect.
  • the prediction module is set as the target edge computing host for prediction application relocation
  • a judgment processing module configured to judge that when the target edge computing host meets a preset condition, perform preparation work on the target edge computing host
  • the execution module is configured to initiate a real application relocation request to the target edge computing host, and complete application relocation on the target edge host.
  • the edge computing-based application relocation apparatus of the embodiment of the present invention by running the above-mentioned edge computing-based application relocation method, compared with related technologies, the application relocation delay on the edge computing host can be shortened and improved
  • the business continuity of the edge business, especially the Internet of Vehicles business, in the mobile process so as to better ensure the high reliability and low latency of the Internet of Vehicles applications in the mobile process, and improve the safety of the vehicle operation process.
  • An application relocation device based on edge computing includes: a memory, a processor, and a computer program stored on the memory and running on the processor, and the computer program is executed by the processor. When executed, the steps of the application relocation method based on edge computing as described above are implemented.
  • the edge computing-based application relocation apparatus of the embodiment of the present invention by running the above-mentioned edge computing-based application relocation method, compared with related technologies, the application relocation delay on the edge computing host can be shortened and improved
  • the business continuity of the edge business, especially the Internet of Vehicles business, in the mobile process so as to better ensure the high reliability and low latency of the Internet of Vehicles applications in the mobile process, and improve the safety of the vehicle operation process.
  • An application relocation device where the application relocation device is the aforementioned application relocation device;
  • the functional module is configured to provide information for the application relocation device to perform the preparation work.
  • the function module and the application relocation module can exchange information.
  • the function module can provide corresponding information to the application relocation module, so that the application relocation module can make preparations in advance.
  • the delay of application relocation is effectively reduced, and the service quality of the edge computing system is improved.
  • a computer program is stored on the computer storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned edge computing-based application relocation method are implemented.
  • the time delay of application relocation on the edge computing host can be shortened, and edge services, especially vehicles, can be improved.
  • the business continuity of the connected business in the mobile process so as to better ensure the high reliability and low latency of the connected car application in the mobile process, and improve the safety of the vehicle operation process.
  • Fig. 1 is a flowchart of an application relocation method based on edge computing according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a method for predicting a target edge computer for application relocation according to an embodiment of the present invention
  • FIG. 3 is a partial flowchart of an application relocation method based on edge computing according to an embodiment of the present invention
  • FIG. 4 is a schematic diagram of the composition of an application relocation device based on edge computing according to an embodiment of the present invention
  • Fig. 5 is a schematic structural diagram of an edge computing system according to an embodiment of the present invention.
  • Fig. 6 is a schematic diagram of a vehicle operation scene according to an embodiment of the present invention.
  • FIG. 7 is a schematic diagram of an application relocation method based on edge computing according to an embodiment of the present invention.
  • Fig. 8 is a schematic diagram of an application relocation method based on edge computing according to an embodiment of the present invention.
  • V2X Vehicle-to-everything, Internet of Vehicles
  • C-V2X Cellular V2X, cellular Internet of Vehicles
  • ETSI MEC Multi-access Edge Computing
  • Providing low-latency and high-reliability communication services for V2X services based on edge computing is the focus of Internet of Vehicles research. Because of the high-speed mobility of vehicles and the safety of vehicle operation involved in the Internet of Vehicles business, MEC is required to provide high-reliability and low-latency communication services. The movement of the vehicle will cause the V2X application to move from one edge computing host service scope to another edge computing host service scope. Because of the high-speed and large-scale movement of vehicles, the Internet of Vehicles applications are deployed on different MEC platforms in a distributed manner. The MEC system relocates the Internet of Vehicles applications between MEC platforms to provide services for V2X applications during vehicle movement. Continuity.
  • UE bearer change detection When the UE moves in the underlying network and triggers a change in the bearer path.
  • the change of the bearer path includes: the UE is still in the coverage of the serving ME host or the UE moves out of the coverage of the serving ME host to another ME host coverage.
  • UE bearer change detection including UE IP address change or RNIS detection of the ME Host change of the underlying network signaling connection; or detection of the data plane change.
  • Service relocation management Notify MEO or MEP of the bearer path change. Service relocation management determines what kind of business relocation needs to be done and how to perform the relocation sub-process.
  • the application relocation method based on edge computing includes:
  • S101 Predict the target edge computing host for application relocation
  • target edge computing host can be predicted for the application relocation of the UE (terminal).
  • S103 Initiate a real application relocation request to the target edge computing host, and complete the application relocation on the target edge host.
  • real application relocation request refers to a real application relocation operation performed on the target edge computing host.
  • the specific operation process of application relocation is a mature technical means in the field, and will not be repeated here. At this time, since preparations have been made in advance on the target MEC host, the process delay can be greatly shortened.
  • the target edge computing host for predicting application relocation includes:
  • the terminal can change its position at any time.
  • the location information and movement information of the terminal By acquiring the location information and movement information of the terminal, the movement path and position change trend of the terminal can be acquired.
  • S202 Predict the target edge computing host based on the location information and the movement information.
  • the target computing host can be predicted based on the terminal's moving path and location change trend.
  • the movement information of the terminal includes at least one of the location information of the terminal, the movement direction of the terminal, the movement speed of the terminal, and the navigation information of the terminal. That is, the movement information of the terminal may include one of the location information of the terminal, the movement direction of the terminal, the movement speed of the terminal, and the navigation information of the terminal; or the movement information of the terminal includes the position information of the terminal and the movement direction of the terminal.
  • the terminal’s speed and terminal navigation information; or the terminal’s mobile information includes three of the terminal’s location information, terminal’s moving direction, terminal’s speed, and terminal navigation information; or the terminal’s mobile information includes the terminal The location information of the terminal, the moving direction of the terminal, the speed of the terminal and the terminal navigation information.
  • the location information of the terminal may include the historical location information of the terminal and the current location information of the terminal.
  • the movement information of the terminal may include, but is not limited to, UE location information, UE movement direction, UE movement speed, and vehicle navigation information.
  • the vehicle navigation information is a series of location information through the vehicle planning, which is input by the Internet of Vehicles application to the MEC application relocation enhancement service.
  • the method further includes: when there are multiple edge computing hosts at the same location, selecting the optimal edge computing host as the target edge computing host.
  • the "optimal edge computing host” mentioned here can be understood as an edge computing host with the best current processing performance that comprehensively considers multiple decisions.
  • the optimal edge computing host can be selected by comprehensively considering factors such as cell load, wireless signal, and MEC host load. It is understandable that by selecting the optimal edge computing host as the target edge computing host, the service quality of the edge computing host can be improved.
  • determining whether the terminal and the target edge computing host meet a preset condition includes:
  • the preset conditions may include: a distance threshold between the terminal and the target edge computing host; and/or a time threshold for the terminal to reach the target edge computing host.
  • the preset condition can be the distance threshold between the terminal and the target edge computing host; the preset condition can also be the time threshold for the terminal to reach the target edge computing host; the preset condition can also be the distance between the terminal and the target edge computing host. The distance threshold between the terminal and the time threshold for the terminal to reach the target edge computing host.
  • a distance threshold for the target edge computing host it is possible to set a distance threshold for the target edge computing host to perform application relocation for preparation work.
  • the relocation preparation is initiated.
  • the method further includes: if the distance between the terminal and the target edge computing host does not decrease below the distance threshold within the preset time period, releasing the preparation work of the target edge computing host and re-predicting Target edge computing host.
  • the preparation work may include: establishing an application instance on the target edge computing host, or transferring application context information to the target edge computing host.
  • an application instance is not established on the target MEC host, an application instance is created, and the UE information and application context are transferred to the application instance of the target MEC host. If there is a corresponding application instance on the target MEC host, the application context information is transferred to the target edge computing host. Therefore, since the application instance has been established in advance on the target MEC host and the context information has been prepared in advance, the time delay of the application relocation process can be greatly shortened.
  • an application relocation device based on edge computing includes: a prediction module, a judgment processing module, and an execution module.
  • the prediction module is set as a target edge computing host for prediction application relocation. It should be noted that the target edge computing host (MEC host) can be predicted for the application relocation of the UE (terminal).
  • the judgment processing module is set to perform preparation work on the target edge computing host when the target edge computing host meets the preset condition. As a result, when the MEC host meets the preset conditions, preparations for application relocation can be performed on the target MEC host in advance, so as to shorten the application relocation delay.
  • the execution module is set to initiate a real application relocation request to the target edge computing host, and complete the application relocation on the target edge host. It should be noted that the specific operation process of application relocation is a mature technical means in the field, and will not be repeated here. At this time, since preparations have been made in advance on the target MEC host, the process delay can be greatly shortened.
  • the edge computing-based application relocation apparatus of the embodiment of the present invention by predicting the target edge computing host for application relocation in advance, preparation work can be performed on the target edge computing host in advance. Therefore, when the target edge host is determined to be the application relocation host, the delay caused by the preparation of the application relocation host can be reduced, thereby effectively solving the related technology, due to the need to detect the bearer change and cause the application relocation delay problem , Improve the application switching effect.
  • the prediction module is specifically configured as:
  • the terminal can change its position at any time.
  • the location information and movement information of the terminal By acquiring the location information and movement information of the terminal, the movement path and position change trend of the terminal can be acquired.
  • the target edge computing host Based on location information and mobile information, predict the target edge computing host. In other words, the target computing host can be predicted based on the terminal's moving path and location change trend.
  • the movement information of the terminal includes at least one of location information of the terminal, movement direction of the terminal, movement speed of the terminal, and navigation information of the terminal. That is, the movement information of the terminal may include one of the location information of the terminal, the movement direction of the terminal, the movement speed of the terminal, and the navigation information of the terminal; or the movement information of the terminal includes the position information of the terminal and the movement direction of the terminal.
  • the terminal’s speed and terminal navigation information; or the terminal’s mobile information includes three of the terminal’s location information, terminal’s moving direction, terminal’s speed, and terminal navigation information; or the terminal’s mobile information includes the terminal The location information of the terminal, the moving direction of the terminal, the speed of the terminal and the terminal navigation information.
  • the location information of the terminal may include the historical location information of the terminal and the current location information of the terminal.
  • the movement information of the terminal may include, but is not limited to, UE location information, UE movement direction, UE movement speed, and vehicle navigation information.
  • the vehicle navigation information is a series of location information through the vehicle planning, which is input by the Internet of Vehicles application to the MEC application relocation enhancement service.
  • the prediction module is further configured to select the optimal edge computing host as the target edge computing host when there are multiple edge computing hosts at the same location.
  • the "optimal edge computing host” mentioned here can be understood as an edge computing host with the best current processing performance that comprehensively considers multiple decisions.
  • the optimal edge computing host can be selected by comprehensively considering factors such as cell load, wireless signal, and MEC host load. It is understandable that by selecting the optimal edge computing host as the target edge computing host, the service quality of the edge computing host can be improved.
  • preparation work is performed on the target edge computing host.
  • the preset conditions can be judged by combining the distance and the time to reach the target edge computing host.
  • the preset conditions may include: a distance threshold between the terminal and the target edge computing host; and/or a time threshold for the terminal to reach the target edge computing host.
  • the preset condition can be the distance threshold between the terminal and the target edge computing host; the preset condition can also be the time threshold for the terminal to reach the target edge computing host; the preset condition can also be the distance between the terminal and the target edge computing host.
  • a distance threshold for the target edge computing host it is possible to set a distance threshold for the target edge computing host to perform application relocation for preparation work.
  • the relocation preparation is initiated.
  • the processing module is further configured to release the preparation work of the target edge computing host if the distance between the terminal and the target edge computing host does not decrease below the distance threshold within the preset time period, and Re-forecast the pre-target edge computing host.
  • the preparation work includes: establishing an application instance on the target edge computing host, or transferring application context information to the target edge computing host.
  • an application instance is not established on the target MEC host, an application instance is created, and the UE information and application context are transferred to the application instance of the target MEC host. If there is a corresponding application instance on the target MEC host, the application context information is transferred to the target edge computing host. Therefore, since the application instance has been established in advance on the target MEC host and the context information has been prepared in advance, the time delay of the application relocation process can be greatly shortened.
  • An application relocation device based on edge computing includes: a memory, a processor, and a computer program stored on the memory and running on the processor. When the computer program is executed by the processor, the edge-based Calculate the steps of the application relocation method.
  • the edge computing-based application relocation apparatus of the embodiment of the present invention by running the above-mentioned edge computing-based application relocation method, compared with related technologies, the application relocation delay on the edge computing host can be shortened and improved
  • the business continuity of the edge business, especially the Internet of Vehicles business, in the mobile process so as to better ensure the high reliability and low latency of the Internet of Vehicles applications in the mobile process, and improve the safety of the vehicle operation process.
  • the edge computing system includes: an application relocation device and a functional module.
  • the application relocation device (that is, the App Relocation Enhance Service module shown in FIG. 5) is the above-mentioned application relocation device.
  • the functional modules (including the RNIS Service module shown in FIG. 5) are configured to provide information for preparing the application relocation device. It should be noted that the application relocation device and the functional module can exchange information through an interactive interface. In this way, the functional module can provide corresponding information for the application relocation module for preparation. For example, the function module can provide the location information and movement information of the terminal and network signal strength information to the application relocation module.
  • the function module and the application relocation module can exchange information.
  • the function module can provide corresponding information to the application relocation module, so that the application relocation module can make preparations in advance.
  • the delay of application relocation is effectively reduced, and the service quality of the edge computing system is improved.
  • the functional modules may include: a wireless network information module (RNIS Service) and a positioning module (Location Service).
  • RIS Service wireless network information module
  • Location Service positioning module
  • the positioning module is configured to provide the location information of the terminal to the application relocation device.
  • the MEC host that is in front of the UE and is located on the navigation route can be selected as the relocation target MEC host according to the UE's location and current location, moving speed and direction, and navigation information.
  • the wireless network information module is configured to provide the wireless network information of the edge computing host to the application relocation device.
  • the wireless network information module may provide the application relocation device with the strength of the wireless network signal of the edge computing host.
  • V2X App is deployed on the MEC platform and interacts with ME services through the Mp1 interface, and the application relocation device can interact with the V2X App to obtain UE navigation information.
  • the application relocation apparatus can perform the MEC host prediction of the application target before the UE moves according to the current location of the UE, the moving direction of the UE, speed and navigation information, wireless quality, etc.
  • the application target MEC host saves the information and detects whether the application instance exists. If it does not exist, create a new application instance and send the UE id and application context to the instance .
  • a computer program is stored on the computer storage medium, and when the computer program is executed by a processor, the steps of the application relocation method based on edge computing as described above are implemented.
  • the time delay of application relocation on the edge computing host can be shortened, and edge services, especially vehicles, can be improved.
  • the business continuity of the connected business in the mobile process so as to better ensure the high reliability and low latency of the connected car application in the mobile process, and improve the safety of the vehicle operation process.
  • the UE movement route and MEC deployment are shown in Figure 6.
  • the UE is currently connected to Cell1, and it is connected to MEC host1.
  • the V2X APP instance is also deployed on MEC host1.
  • the navigation route of the UE is to move to the left and forward;
  • Cell4 covers the intersection on the right, which is connected to MEC host4; covers the left At the intersection,
  • Cell2 and Cell3 are connected to MEC host2 and MEC host4, respectively, and the quality of Cell2 is better than Cell3.
  • the ME services deployed on each MEC Host platform include: RNSI service, Location service, APP relocation enhancement service; MEC platform deployment A service is responsible for the application movement process of MEC platform.
  • the V2X App is deployed on the MEC platform and interacts with ME services through the Mp1 interface.
  • V2X App subscribes to the APP relocation enhancement service.
  • the V2X APP interacts with the APP relocation enhanced service through the Mp1 interface, and sends a subscription request, which includes but not limited to: UE id, App id, and UE navigation information.
  • the navigation information consists of a series of directional location information and the cell to which each location information belongs. How to query the location and navigation of the cell to which the location information belongs is not within the scope of this patent. It can be obtained using common wireless network planning methods, for example: V2X APP obtains the wireless network configuration information of the network and maps the location information of the navigation route to the wireless network You can get the cell information to which each location belongs.
  • the APP relocation enhancement service obtains the UE's location, mobile information, and wireless quality of the mobile route.
  • the APP relocation enhanced service and the Location service interact to obtain the real-time location of the UE.
  • the real-time location of the UE is matched with the location list of the navigation route, and the location list on the navigation route from the current location of the UE to a certain distance in front of the movement of the UE is found, which is recorded as the position list of the movement ahead.
  • the distance can be written to death or parameter configuration.
  • the App relocation and navigation service interacts with the RNIS service to obtain the radio quality of the cell to which each position in the moving forward position list belongs.
  • the App Relocation Enhanced Service integrates UE's location information, UE's navigation information, and navigation route wireless quality information to make decisions.
  • This service sends an application pre-relocation request to MEC host2, and the information brought in includes but is not limited to: UE id, V2X App id, pre-relocation indication, and V2X APP id context information.
  • MEC host2 establishes a V2X App instance, sends context information of UE id and V2X APP id to the instance, and returns an indication of successful instance establishment to the App Relocation Enhanced Service on MEC host1.
  • Application relocation is actually initiated.
  • the specific operation steps of applying relocation are mature technical means of this field, and will not be repeated here.
  • the application relocation method of the present invention since the APP instance has been established in advance and the application instance context information has been transferred, the time delay of application relocation can be greatly shortened.
  • the UE movement route and MEC deployment are shown in Figure 6.
  • the UE is currently connected to Cell1, it is connected to MEC host1, the V2X APP instance is also deployed in MEC host1, and the UE's navigation route is moving to the left and forward.
  • Covering the intersection on the right is Cell4, which is connected to MEC host4; covering the intersection on the left is Cell2 and Cell3, which are connected to MEC host2 and MEC host4, respectively, and the quality of Cell2 is better than Cell3.
  • the ME services deployed on each MEC Host platform include: RNSI services, Location services, and APP relocation enhanced services.
  • the MEC platform deployment service A is responsible for the application movement process of the MEC platform.
  • the V2X App is deployed on the MEC platform and interacts with ME services through the Mp1 interface.
  • V2X App subscribes to the APP relocation enhancement service
  • the V2X APP interacts with the APP relocation enhanced service through the Mp1 interface, and sends a subscription request, which includes but not limited to: UE id, App id, and UE navigation information.
  • the navigation information consists of a series of directional location information and the cell to which each location information belongs. How to query the location and navigation of the cell to which the location information belongs is not within the scope of this patent. It can be obtained using common wireless network planning methods, for example: V2X APP obtains the wireless network configuration information of the network, and maps the location information of the navigation route to the wireless network You can get the cell information to which each location belongs.
  • the APP relocation enhancement service obtains the UE's location, mobile information, and wireless quality of the mobile route.
  • the APP relocation enhancement service interacts with the Location service to obtain the real-time location of the UE.
  • the real-time location of the UE is matched with the location list of the navigation route, and the location list on the navigation route from the current location of the UE to a certain distance in front of the movement of the UE is found, which is recorded as the position list of the movement ahead.
  • the distance can be written to death or parameter configuration.
  • the App relocation and navigation service interacts with the RNIS service to obtain the radio quality of the cell to which each position in the moving forward position list belongs.
  • the App Relocation Enhanced Service integrates UE's location information, UE's navigation information, and navigation route wireless quality information to make decisions.
  • This service sends an application pre-relocation request to MEC host2, and the information brought in includes but is not limited to: UE id, V2X App id, pre-relocation indication, and V2X APP id context information.
  • MEC host2 establishes a V2X App instance, sends context information of UE id and V2X APP id to the instance, and returns an indication of successful instance establishment to the App Relocation Enhanced Service on MEC host1.
  • the MEC host1 starts a timer and waits for the real application relocation to be initiated.
  • the timer duration can be hard-coded or parameter configuration.
  • the application relocation timer expires, and the application relocation enhanced service sends a resource release instruction to MEC host2 after the relocation timer expires, and MEC host2 releases the established V2X APP resources and context information after receiving it. Therefore, when the vehicle does not follow the navigation route, it is possible to avoid wasting application resources.

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Abstract

本发明提出了一种基于边缘计算的应用重定位方法及装置，方法包括：预测应用重定位的目标边缘计算主机；当目标边缘计算主机满足预设条件时，在目标边缘计算主机上进行准备工作；向目标边缘计算主机发起真正应用重定位请求，并在目标边缘主机完成应用重定位。根据本发明的基于边缘计算的应用重定位方法，通过提前预测应用重定位的目标边缘计算主机，可以提前在目标边缘计算主机上进行准备工作，可以缩短边缘计算主机上应用重定位的时延，提升边缘业务特别是车联网业务的在移动过程的业务连续性，从而更好的保障车联网应用程序在移动过程中的高可靠和低时延，提升车辆运行过程的安全性。

Description

基于边缘计算的应用重定位方法及装置 技术领域
本发明涉及通信技术领域，尤其涉及一种基于边缘计算的应用重定位方法及装置。
背景技术
相关技术方案中，MEC的应用重定位过程是基于对UE用户面承载改变的触发来进行的，考虑到UE承载改变的检测需要时延、新的MEC平台上建立新应用实例的时延、应用上下文从老的MEC平台传递到新的MEC平台的时延，这些时延都可能会导致应用层的丢包甚至业务中断，从而影响业务的服务质量。
发明内容
本发明要解决的技术问题是基于用户面承载改变检测的应用重定位方法可能导致业务QoS下降或者中断。本发明提供了一种基于边缘计算的应用重定位方法及装置。
本发明实施例的基于边缘计算的应用重定位方法，包括：
预测应用重定位的目标边缘计算主机；
当所述目标边缘计算主机满足预设条件时，在所述目标边缘计算主机上进行准备工作；
向所述目标边缘计算主机发起真正应用重定位请求，并在所述目标边缘主机完成应用重定位。
本发明实施例的基于边缘计算的应用重定位方法，通过提前预测应用重定 位的目标边缘计算主机，可以提前在目标边缘计算主机上进行准备工作。由此，当向目标边缘主机发起真正应用重定位请求时，可以减少应用重定位主机准备工作造成的时延，从而有效解决了相关技术中，缩短在已有重定位流程中进行实例建立和上下文传递的时延，提高了应用切换效果。
根据本发明实施例的基于边缘计算的应用重定位装置，包括：
预测模块，设置为预测应用重定位的目标边缘计算主机；
判断处理模块，设置为判断当所述目标边缘计算主机满足预设条件时，在所述目标边缘计算主机上进行准备工作；
执行模块，设置为向所述目标边缘计算主机发起真正应用重定位请求，并在所述目标边缘主机完成应用重定位。
根据本发明实施例的基于边缘计算的应用重定位装置，通过运行上述所述的基于边缘计算的应用重定位方法，相较于相关技术，可以缩短边缘计算主机上应用重定位的时延，提升边缘业务特别是车联网业务的在移动过程的业务连续性，从而更好的保障车联网应用程序在移动过程中的高可靠和低时延，提升车辆运行过程的安全性。
根据本发明实施例的基于边缘计算的应用重定位装置，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如上述所述的基于边缘计算的应用重定位方法的步骤。
根据本发明实施例的基于边缘计算的应用重定位装置，通过运行上述所述的基于边缘计算的应用重定位方法，相较于相关技术，可以缩短边缘计算主机上应用重定位的时延，提升边缘业务特别是车联网业务的在移动过程的业务连续性，从而更好的保障车联网应用程序在移动过程中的高可靠和低时延，提升车辆运行过程的安全性。
根据本发明实施例的边缘计算系统，包括：
应用重定位装置，所述应用重定位装置为上述所述的应用重定位装置；
功能模块，设置为为所述应用重定位装置进行所述准备工作提供信息。
根据本发明实施例的边缘计算系统，功能模块与应用重定位模块之间可以进行信息交互。由此，功能模块可以向应用重定位模块提供相应的信息，以便于应用重定位模块提前进行准备工作。由此，有效降低了应用重定位的时延，提高了边缘计算系统的服务质量。
根据本发明实施例的计算机存储介质，所述计算机存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如上述所述的基于边缘计算的应用重定位方法的步骤。
根据本发明实施例的计算机存储介质，通过运行上述所述的基于边缘计算的应用重定位方法，相较于相关技术，可以缩短边缘计算主机上应用重定位的时延，提升边缘业务特别是车联网业务的在移动过程的业务连续性，从而更好的保障车联网应用程序在移动过程中的高可靠和低时延，提升车辆运行过程的安全性。
附图说明
图1是根据本发明实施例的基于边缘计算的应用重定位方法流程图；
图2是根据本发明实施例的预测应用重定位的目标边缘计算机的方法流程图；
图3是根据本发明实施例的基于边缘计算的应用重定位方法的局部流程图；
图4是根据本发明实施例的基于边缘计算的应用重定位装置的组成示意图；
图5是根据本发明实施例的边缘计算系统的结构示意图；
图6是根据本发明实施例的车辆运行场景示意图；
图7是根据本发明实施例的基于边缘计算的应用重定位方法示意图；
图8是根据本发明实施例的基于边缘计算的应用重定位方法示意图。
具体实施方式
为更进一步阐述本发明为达成预定目的所采取的技术手段及功效，以下结合附图及较佳实施例，对本发明进行详细说明如后。
V2X(Vehicle-to-everything，车联网)车联网是指借助C-V2X(Cellular V2X，蜂窝车联网)通信技术，实现车与车、车与路、车与人的连接，提升汽车智能化水平和自动驾驶能力，从而提高交通效率和驾驶安全的综合服务。
ETSI MEC(Multi-access Edge Computing，多接入边缘计算)是目前业内权威的边缘计算研究组织，使得运营商或者第三方业务可以部署在靠近用户的位置，来实现流量本地卸载、服务本地化提供的业务环境。
基于边缘计算来为V2X业务提供低时延、高可靠的通讯服务是车联网研究的重点。因为车辆的高速移动特性，以及车联网业务涉及车辆运行安全特点，所以需要MEC为其提供高可靠和低时延的通讯服务。车辆的移动会导致V2X应用从一个边缘计算主机服务范围移动到另外一个边缘计算主机服务范围。因为车辆高速大范围移动的特性，所以车联网应用是分布式部署在不同的MEC平台，MEC系统通过将车联网应用在MEC平台之间进行重定位，来提供V2X应用在车辆移动过程中的业务连续性。
相关技术中，应用重定位流程如下：
1、UE承载改变检测。当UE在底层网络移动并且触发承载路径改变。承载路径改变包括：UE还在服务ME host覆盖内或者UE移出了服务ME host覆盖，去到了另一个ME host覆盖范围。UE承载改变检测：包括UE IP地址改变或者RNIS检测到底层网络信令连接的ME Host改变；或者检测到数据面改变。
2、服务重定位管理。向MEO或者MEP通知承载路径改变。服务重定位管理决定需要做哪种业务重定位，以及如何进行重定位子流程。
3、APP实例重定位。需要的话，将服务UE的APP实例从S-MEH重定位到T-MEH。
4、业务路由更新。更新UE的路由规则和激活目标ME HOST的新服务。
5、终止S-MEH的服务。
在基于边缘计算的车联网应用场景下，这个问题尤为严重，因为车辆高速大范围移动时，沿路部署了大量的MEC平台，需要V2X应用进行频繁的重定位动作。如果MEC不能在车辆高速移动时为车联网业务提供高可靠和低时延的业务连续性服务，就不能保障车联网应用的安全性。
如图1所示，根据本发明实施例的基于边缘计算的应用重定位方法，包括：
S101：预测应用重定位的目标边缘计算主机；
需要说明的是，可以对UE(终端)的应用重定位进行目标边缘计算主机(MEC host)的预测。
S102：当目标边缘计算主机满足预设条件时，在目标边缘计算主机上进行准备工作；
由此，可以在MEC host满足预设条件时，提前在目标MEC host上进行应用重定位的准备工作，以缩短应用重定位的时延。
S103：向目标边缘计算主机发起真正应用重定位请求，并在目标边缘主机完成应用重定位。
需要说明的是，这里所述的“真正应用重定位请求”是指在目标边缘计算主机进行真正应用重定位操作。应用重定位的具体操作流程为本领域成熟技术手段，在此不再赘述。此时，由于在目标MEC host上已经提前进行了准备工作，此过程时延可以被大大缩短。
本发明实施例的基于边缘计算的应用重定位方法，通过提前预测应用重定位的目标边缘计算主机，可以提前在目标边缘计算主机上进行准备工作。由此，当向目标边缘主机发起真正应用重定位请求时，可以减少应用重定位主机准备工作造成的时延，从而有效解决了相关技术中，由于需先检测承载改变造成应用重定位的时延问题，提高了应用切换效果。
根据本发明的一些实施例，如图2所示，预测应用重定位的目标边缘计算主机，包括：
S201：获取终端的位置信息和移动信息；
需要说明的是，终端可以随时改变位置。通过获取终端的位置信息和移动信息，可以获取终端的移动路径和位置变换趋势。
S202：基于位置信息和移动信息，进行目标边缘计算主机的预测。
也就是说，可以根据终端的移动路径和位置变换趋势，进行目标计算主机的预测。
在本发明的一些实施例中，终端的移动信息包括：终端的位置信息、终端的移动方向、终端的移动速度和终端导航信息中的至少一种。也就是说，终端的移动信息可以包括：终端的位置信息、终端的移动方向、终端的移动速度和终端导航信息中的其中一种；或者终端的移动信息包括终端的位置信息、终端的移动方向、终端的速度和终端导航信息中的其中两种；或者终端的移动信息包括终端的位置信息、终端的移动方向、终端的速度和终端导航信息中的其中三种；或者终端的移动信息包括终端的位置信息、终端的移动方向、终端的速度和终端导航信息。
其中，终端的位置信息，可以包括终端的历史位置信息和终端的当前位置信息。
可以理解的是，通过获取终端的当前位置信息和位置信息、终端的移动方向、终端的移动速度和终端导航信息，可以准确判断终端将要行驶的轨迹路线，从而可以根据终端的形式路线，预测应用的目标边缘计算主机。由此，可以提高目标边缘计算主机预测的准确性和可靠性。
例如，当终端为车辆时，终端的移动信息可以包括但不限于UE位置信息、UE移动的方向、UE移动的速度、车辆导航信息。其中，车辆导航信息是车辆规划经过的一系列位置信息，由车联网应用输入给MEC应用重定位增强服务。
根据本发明的一些实施例，方法还包括：当同一位置处存在多个边缘计算主机时，选择最优的边缘计算主机作为目标边缘计算主机。需要说明的是，这里所述的“最优的边缘计算主机”可以理解为，综合考虑多个方面决策的当前处理性能最佳的边缘计算主机。例如，可以通过综合考虑小区负荷、无线信号、 MEC主机负荷等因素，选择最优的边缘计算主机。可以理解的是，通过选择最优的边缘计算主机作为目标边缘计算主机，可以提高边缘计算主机的服务质量。
在本发明的一些实施例中，在预测应用重定位的目标边缘计算主机后，判断终端与目标边缘计算主机之间是否满足预设条件，包括：
当终端与目标边缘计算主机之间满足预设条件时，在目标边缘计算主机上进行准备工作。
需要说明的是，这里所述的“预设条件”可以是综合距离和到达目标边缘计算主机的时间来判决的。预设条件可以包括：终端与目标边缘计算主机之间的距离阈值；和/或终端到达目标边缘计算主机的时间阈值。也就是说，预设条件可以是终端与目标边缘计算主机之间的距离阈值；预设条件也可以是终端到达目标边缘计算主机的时间阈值；预设条件还可以是终端与目标边缘计算主机之间的距离阈值和终端到达目标边缘计算主机的时间阈值。
例如，可以设置目标边缘计算主机进行应用重定位进行准备工作的距离门限。当UE当前位置和连接到应用重定位目标边缘计算主机所连接小区的导航位置列表中距离最近的点的距离达到距离门限时，发起重定位准备工作。
根据本发明的一些实施例，方法还包括：若在预设时长内，终端与目标边缘计算主机之间的距离未减小至距离阈值以下，则释放目标边缘计算主机的准备工作，并重新预测目标边缘计算主机。
例如，可以设置重定位资源释放定时器，当定时器超时时，如果没有发生真正的应用重定位，则释放应用重定位预备资源，包括删除应用实例和已传递至目标边缘计算主机的应用上下文数据等。
在本发明的一些实施例中，准备工作可以包括：在目标边缘计算主机上建立应用实例，或将应用上下文信息传递至目标边缘计算主机。
需要说明的是，如果在目标MEC host上没有建立应用实例，则新建应用实例，并将UE信息和应用上下文传递到目标MEC host的应用实例。如果在目标MEC host上有相应的应用实例，则将应用上下文信息传递至目标边缘计算主机 上。由此，由于在目标MEC host上已经提前建立了应用实例、提前准备了上下文信息，因此，应用重定位过程时延可以被大大缩短。
如图4所示，根据本发明实施例的基于边缘计算的应用重定位装置，包括：预测模块、判断处理模块和执行模块。
预测模块设置为预测应用重定位的目标边缘计算主机。需要说明的是，可以对UE(终端)的应用重定位进行目标边缘计算主机(MEC host)的预测。
判断处理模块设置为当目标边缘计算主机满足预设条件时，在目标边缘计算主机上进行准备工作。由此，可以在MEC host满足预设条件时，提前在目标MEC host上进行应用重定位的准备工作，以缩短应用重定位的时延。
执行模块设置为向目标边缘计算主机发起真正应用重定位请求，并在目标边缘主机完成应用重定位。需要说明的是，应用重定位的具体操作流程为本领域成熟技术手段，在此不再赘述。此时，由于在目标MEC host上已经提前进行了准备工作，此过程时延可以被大大缩短。
根据本发明实施例的基于边缘计算的应用重定位装置，通过提前预测应用重定位的目标边缘计算主机，可以提前在目标边缘计算主机上进行准备工作。由此，当确定目标边缘主机为应用重定位主机时，可以减少应用重定位主机准备工作造成的时延，从而有效解决了相关技术中，由于需先检测承载改变造成应用重定位的时延问题，提高了应用切换效果。
根据本发明的一些实施例，预测模块具体设置为：
获取终端的位置信息和移动信息；
需要说明的是，终端可以随时改变位置。通过获取终端的位置信息和移动信息，可以获取终端的移动路径和位置变换趋势。
基于位置信息和移动信息，进行目标边缘计算主机的预测。也就是说，可以根据终端的移动路径和位置变换趋势，进行目标计算主机的预测。
在本发明的一些实施例中，终端的移动信息包括：终端的位置信息、终端 的移动方向、终端的移动速度和终端导航信息中的至少一种。也就是说，终端的移动信息可以包括：终端的位置信息、终端的移动方向、终端的移动速度和终端导航信息中的其中一种；或者终端的移动信息包括终端的位置信息、终端的移动方向、终端的速度和终端导航信息中的其中两种；或者终端的移动信息包括终端的位置信息、终端的移动方向、终端的速度和终端导航信息中的其中三种；或者终端的移动信息包括终端的位置信息、终端的移动方向、终端的速度和终端导航信息。
其中，终端的位置信息，可以包括终端的历史位置信息和终端的当前位置信息。
可以理解的是，通过获取终端的当前位置信息和位置信息、终端的移动方向、终端的移动速度和终端导航信息，可以准确判断终端将要行驶的轨迹路线，从而可以根据终端的形式路线，预测应用的目标边缘计算主机。由此，可以提高目标边缘计算主机预测的准确性和可靠性。
例如，当终端为车辆时，终端的移动信息可以包括但不限于UE位置信息、UE移动的方向、UE移动的速度、车辆导航信息。其中，车辆导航信息是车辆规划经过的一系列位置信息，由车联网应用输入给MEC应用重定位增强服务。
根据本发明的一些实施例，预测模块还设置为：当同一位置处存在多个边缘计算主机时，选择最优的边缘计算主机作为目标边缘计算主机。需要说明的是，这里所述的“最优的边缘计算主机”可以理解为，综合考虑多个方面决策的当前处理性能最佳的边缘计算主机。例如，可以通过综合考虑小区负荷、无线信号、MEC主机负荷等因素，选择最优的边缘计算主机。可以理解的是，通过选择最优的边缘计算主机作为目标边缘计算主机，可以提高边缘计算主机的服务质量。
在本发明的一些实施例中，当终端与目标边缘计算主机之间满足预设条件时，在目标边缘计算主机上进行准备工作。
需要说明的是，这里所述的“预设条件”可以是综合距离和到达目标边缘 计算主机的时间来判决的。预设条件可以包括：终端与目标边缘计算主机之间的距离阈值；和/或终端到达目标边缘计算主机的时间阈值。也就是说，预设条件可以是终端与目标边缘计算主机之间的距离阈值；预设条件也可以是终端到达目标边缘计算主机的时间阈值；预设条件还可以是终端与目标边缘计算主机之间的距离阈值和终端到达目标边缘计算主机的时间阈值。
例如，可以设置目标边缘计算主机进行应用重定位进行准备工作的距离门限。当UE当前位置和连接到应用重定位目标边缘计算主机所连接小区的导航位置列表中距离最近的点的距离达到距离门限时，发起重定位准备工作。
根据本发明的一些实施例，处理模块还设置为：若在预设时长内，终端与目标边缘计算主机之间的距离未减小至距离阈值以下，则释放目标边缘计算主机的准备工作，并重新预测预目标边缘计算主机。
例如，可以设置重定位资源释放定时器，当定时器超时时，如果没有发生真正的应用重定位，则释放应用重定位预备资源，包括删除应用实例和已传递至目标边缘计算主机的应用上下文数据等。
在本发明的一些实施例中，准备工作包括：在目标边缘计算主机上建立应用实例，或将应用上下文信息传递至目标边缘计算主机。
需要说明的是，如果在目标MEC host上没有建立应用实例，则新建应用实例，并将UE信息和应用上下文传递到目标MEC host的应用实例。如果在目标MEC host上有相应的应用实例，则将应用上下文信息传递至目标边缘计算主机上。由此，由于在目标MEC host上已经提前建立了应用实例、提前准备了上下文信息，因此，应用重定位过程时延可以被大大缩短。
根据本发明实施例的基于边缘计算的应用重定位装置，包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，计算机程序被处理器执行时实现如上述的基于边缘计算的应用重定位方法的步骤。
根据本发明实施例的基于边缘计算的应用重定位装置，通过运行上述所述 的基于边缘计算的应用重定位方法，相较于相关技术，可以缩短边缘计算主机上应用重定位的时延，提升边缘业务特别是车联网业务的在移动过程的业务连续性，从而更好的保障车联网应用程序在移动过程中的高可靠和低时延，提升车辆运行过程的安全性。
如图5所示，根据本发明实施例的边缘计算系统，包括：应用重定位装置和功能模块。
其中，如图5所示，应用重定位装置(即图5中所示的App Relocation Enhance Service模块)为上述所述的应用重定位装置。功能模块(包括图5中所示的RNIS Service模块)设置为为应用重定位装置进行准备工作提供信息。需要说明的是，应用重定位装置与功能模块之间可以通过交互接口进行信息交互。由此，功能模块可以为应用重定位模块提供相应的信息以进行准备工作。例如，功能模块可以向应用重定位模块提供终端的位置信息和移动信息以及网络信号强度信息等。
根据本发明实施例的边缘计算系统，功能模块与应用重定位模块之间可以进行信息交互。由此，功能模块可以向应用重定位模块提供相应的信息，以便于应用重定位模块提前进行准备工作。由此，有效降低了应用重定位的时延，提高了边缘计算系统的服务质量。
根据本发明的一些实施例，如图5所示，功能模块可以包括：无线网络信息模块(RNIS Service)和定位模块(Location Service)。
其中，定位模块设置为向应用重定位装置提供终端的位置信息。由此，可以根据UE位置和当前位置以及移动速度和方向以及导航信息来选择UE移动前方而且位于导航路线上的MEC host作为重定位目标MEC host。
无线网络信息模块设置为向应用重定位装置提供边缘计算主机的无线网络信息。例如，无线网络信息模块可以向应用重定位装置提供边缘计算主机的无线网络信号的强度。由此，可以对UE移动前方小区的无线质量进行选择，选取 无线质量最优的小区所连接的MEC host作为优选host。
另外，V2X App部署于MEC平台，通过Mp1接口和ME services交互，应用重定位装置可以与V2X App交互以获取UE的导航信息。
需要说明的是，应用重定位装置可以根据UE当前位置、UE移动方向、速度和导航信息、无线质量等进行UE移动前方的应用目标MEC host预测。
当检测UE当前位置和应用目标MEC host连接的小区的一系列位置的最近距离，当最近距离大于门限时，触发应用重定位进行资源准备动作。
将应用信息、UE id、应用上下文发送到应用目标MEC host，应用目标MEC host保存该信息，并检测应用实例是否存在，如果不存在则新建应用实例，并将UE id、应用上下文发送到该实例。
根据本发明实施例的计算机存储介质，计算机存储介质上存储有计算机程序，计算机程序被处理器执行时实现如上述所述的基于边缘计算的应用重定位方法的步骤。
根据本发明实施例的计算机存储介质，通过运行上述所述的基于边缘计算的应用重定位方法，相较于相关技术，可以缩短边缘计算主机上应用重定位的时延，提升边缘业务特别是车联网业务的在移动过程的业务连续性，从而更好的保障车联网应用程序在移动过程中的高可靠和低时延，提升车辆运行过程的安全性。
下面以两个具体的实施例详细描述根据本发明的基于边缘计算的应用重定位方法：
实施例一：
UE移动路线和MEC部署示意如图6所示。其中，UE目前接入Cell1，它连接的是MEC host1，V2X APP实例也部署在MEC host1，UE的导航路线是向左前方移动；覆盖右边路口的是Cell4，它连接的是MEC host4；覆盖左边路口的是Cell2和Cell3，分别连接了MEC host2和MEC host4，其中Cell2质量优于 Cell3。
每一个MEC Host平台上部署的ME services包括：RNSI服务、Location服务、APP重定位增强服务；MEC平台部署A服务负责MEC平台的应用移动过程。V2X App部署于MEC平台，通过Mp1接口和ME services交互。
V2X App为了增强应用重定位能力，订阅APP重定位增强服务。
V2X APP通过Mp1接口和APP重定位增强服务交互，发送订阅请求，其中带入参数包括但不限于：UE id，App id，UE的导航信息。其中导航信息由一系列有方向的位置信息、以及每一个位置信息所属的小区。如何查询位置导航位置信息所属小区不属于本专利范围，使用常用的无线网规方法即可获取，例如：V2X APP获取网络的无线网络配置信息，将导航路线的位置信息一一映射到无线网络中即可获取每一个位置所属的小区信息。
APP重定位增强服务获取UE的位置、移动信息和移动路线的无线质量。
APP重定位增强服务和Location服务交互获取UE的实时位置。
将UE的实时位置和导航路线的位置列表进行匹配，查找出UE从当前位置到移动前方一定距离的导航路线上的位置列表，记为移动前方位置列表。该距离可以写死或者参数配置。
App重定位导航服务和RNIS服务交互获取上述移动前方位置列表中每一个位置所属小区的无线质量。
选择UE移动前方的应用重定位目标MEC host信息。
App重定位增强服务综合UE的位置信息和UE的导航信息、导航路线的无线质量信息进行决策。
从导航路线看，首先排除Cell4连接的MEC host4，因为前方路线不在该小区覆盖范围。
然后对于同时位于前方路线的Cell2连接的MEC host2和Cell3连接的MEC host3，依据小区的无线质量进行筛选，选择无线质量最好的Cell2所连接的MEC host2作为应用重定位目标MEC host。
发起应用重定位资源准备，App重定位增强服务向应用重定位目标MEC host发起应用预切换。
本服务向MEC host2发送应用预重定位请求，带入信息包括但不限于：UE id，V2X App id，预重定位指示，以及V2X APP id的上下文信息。
MEC host2建立V2X App实例，将UE id，V2X APP id的上下文信息发送给该实例，并且实例建立成功指示返回给MEC host1上的App重定位增强服务。
应用重定位真正发起。应用重定位的具体操作步骤为本领成熟技术手段，在此不再赘述。根据本发明的应用重定位方法，由于提前已经建立APP实例，并已经传递了应用实例上下文信息，所以应用重定位的时延可以被大大缩短。
实施例二：
UE移动路线和MEC部署示意如图6所示。其中，UE目前接入Cell1，它连接的是MEC host1，V2X APP实例也部署在MEC host1，UE的导航路线是向左前方移动。覆盖右边路口的是Cell4，它连接的是MEC host4；覆盖左边路口的是Cell2和Cell3，分别连接了MEC host2和MEC host4，其中Cell2质量优于Cell3。
每一个MEC Host平台上部署的ME services包括：RNSI服务、Location服务、APP重定位增强服务。MEC平台部署A服务负责MEC平台的应用移动过程。V2X App部署于MEC平台，通过Mp1接口和ME services交互。
在本事实例中，假设UE没有按照导航路线行驶到左前方，而是临时行驶到右前方岔路口。应用重定位的步骤如下：
V2X App为了增强应用重定位能力，订阅APP重定位增强服务；
V2X APP通过Mp1接口和APP重定位增强服务交互，发送订阅请求，其中带入参数包括但不限于：UE id，App id，UE的导航信息。其中导航信息由一系列有方向的位置信息、以及每一个位置信息所属的小区。如何查询位置导航位置信息所属小区不属于本专利范围，使用常用的无线网规方法即可获取， 例如：V2X APP获取网络的无线网络配置信息，将导航路线的位置信息一一映射到无线网络中即可获取每一个位置所属的小区信息。
APP重定位增强服务获取UE的位置、移动信息和移动路线的无线质量。
APP重定位增强服务和Location服务交互获取UE的实时位置.
将UE的实时位置和导航路线的位置列表进行匹配，查找出UE从当前位置到移动前方一定距离的导航路线上的位置列表，记为移动前方位置列表。该距离可以写死或者参数配置。
App重定位导航服务和RNIS服务交互获取上述移动前方位置列表中每一个位置所属小区的无线质量。
选择UE移动前方的应用重定位目标MEC host信息。
App重定位增强服务综合UE的位置信息和UE的导航信息、导航路线的无线质量信息进行决策。
从导航路线看，首先排除Cell4连接的MEC host4，因为前方路线不在该小区覆盖范围。
然后对于同时位于前方路线的Cell2连接的MEC host2和Cell3连接的MEC host3，依据小区的无线质量进行筛选，选择无线质量最好的Cell2所连接的MEC host2作为应用重定位目标MEC host。
发起应用重定位资源准备,App重定位增强服务向应用重定位目标MEC host发起应用预切换。
本服务向MEC host2发送应用预重定位请求，带入信息包括但不限于：UE id，V2X App id，预重定位指示，以及V2X APP id的上下文信息。
MEC host2建立V2X App实例，将UE id，V2X APP id的上下文信息发送给该实例，并且实例建立成功指示返回给MEC host1上的App重定位增强服务。
MEC host1启动定时器等待真正的应用重定位发起。定时器时长可以是写死也可以是参数配置。
本申请中，由于UE没有按照导航路线行驶，而是临时向右前方行驶。应用 重定位定时器超时，应用重定位增强服务在重定位定时器超时后，向MEC host2发送资源释放指示，MEC host2收到后释放建立的V2X APP资源和上下文信息。由此，可以在车辆没有按照导航路线走时，避免应用资源被浪费。
通过具体实施方式的说明，应当可对本发明为达成预定目的所采取的技术手段及功效得以更加深入且具体的了解，然而所附图示仅是提供参考与说明之用，并非用来对本发明加以限制。

Claims (18)

  1. 一种基于边缘计算的应用重定位方法，包括：
    预测应用重定位的目标边缘计算主机；
    当所述目标边缘计算主机满足预设条件时，在所述目标边缘计算主机上进行准备工作；
    向所述目标边缘计算主机发起真正应用重定位请求，并在所述目标边缘主机完成应用重定位。
  2. 根据权利要求1所述的基于边缘计算的应用重定位方法，其中，所述预测应用重定位的目标边缘计算主机，包括：
    获取终端的位置信息和移动信息；
    基于所述位置信息和所述移动信息，进行目标边缘计算主机的预测。
  3. 根据权利要求2所述的基于边缘计算的应用重定位方法，其中，所述终端的移动信息包括：终端的位置信息、终端的移动方向、终端的移动速度和终端导航信息中的至少一种。
  4. 根据权利要求2所述的基于边缘计算的应用重定位方法，其中，所述方法还包括：
    当同一位置处存在多个边缘计算主机时，选择最优的边缘计算主机作为所述目标边缘计算主机。
  5. 根据权利要求1所述的基于边缘计算的应用重定位方法，其中，所述预设条件包括：
    终端与所述目标边缘计算主机之间的距离阈值；和/或，
    所述终端到达所述目标边缘计算主机的时间阈值。
  6. 根据权利要求5所述的基于边缘计算的应用重定位方法，其中，所述方法还包括：
    若在预设时长内，所述终端与所述目标边缘计算主机之间的距离未减小至所述距离阈值以下，则释放所述目标边缘计算主机的准备工作，并重新预测目标边缘计算主机。
  7. 根据权利要求1-6中任一项所述的基于边缘计算的应用重定位方法，其中，所述准备工作包括：
    在所述目标边缘计算主机上建立应用实例，或将应用上下文信息传递至所述目标边缘计算主机。
  8. 一种基于边缘计算的应用重定位装置，包括：
    预测模块，设置为预测应用重定位的目标边缘计算主机；
    判断处理模块，设置为判断当所述目标边缘计算主机满足预设条件时，在所述目标边缘计算主机上进行准备工作；
    执行模块，设置为向所述目标边缘计算主机发起真正应用重定位请求，并在所述目标边缘主机完成应用重定位。
  9. 根据权利要求8所述的基于边缘计算的应用重定位装置，其中，所述预测模块具体设置为：
    获取终端的位置信息和移动信息；
    基于所述位置信息和所述移动信息，进行目标边缘计算主机的预测。
  10. 根据权利要求9所述的基于边缘计算的应用重定位装置，其中，所述终端的移动信息包括：终端的位置信息、终端的移动方向、终端的移动速度和终端导航信息中的至少一种。
  11. 根据权利要求9所述的基于边缘计算的应用重定位装置，其中，所述预测模块还设置为：
    当同一位置处存在多个边缘计算主机时，选择最优的边缘计算主机作为所述目标边缘计算主机。
  12. 根据权利要求8所述的基于边缘计算的应用重定位装置，其中，所述预设条件包括：
    终端与所述目标边缘计算主机之间的距离阈值；和/或，
    所述终端到达所述目标边缘计算主机的时间阈值。
  13. 根据权利要求12所述的基于边缘计算的应用重定位装置，其中，所述处理模块还设置为：
    若在预设时长内，所述终端与所述目标边缘计算主机之间的距离未减小至所述距离阈值以下，则释放所述目标边缘计算主机的准备工作，并重新预测预目标边缘计算主机。
  14. 根据权利要求8-13中任一项所述的基于边缘计算的应用重定位装置，其中，所述准备工作包括：
    在所述目标边缘计算主机上建立应用实例，或将应用上下文信息传递至所述目标边缘计算主机。
  15. 一种基于边缘计算的应用重定位装置，其中，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如权利要求1至7中任一项所述的基于边缘计算的应用重定位方法的步骤。
  16. 一种边缘计算系统，包括：
    应用重定位装置，所述应用重定位装置为根据权利要求8-15中任一项所述的应用重定位装置；
    功能模块，设置为为所述应用重定位装置进行所述准备工作提供信息。
  17. 根据权利要求16所述的边缘计算系统，其中，所述功能模块包括：
    定位模块，设置为向所述应用重定位装置提供终端的位置信息；
    无线网络信息模块，设置为向所述应用重定位装置提供所述边缘计算主机的无线网络信息。
  18. 一种计算机存储介质，所述计算机存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1至7中任一项所述的基于边缘计算的应用重定位方法的步骤。
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