CN114979161B - Application migration method, device, equipment and storage medium for edge calculation - Google Patents

Application migration method, device, equipment and storage medium for edge calculation Download PDF

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Publication number
CN114979161B
CN114979161B CN202110461212.XA CN202110461212A CN114979161B CN 114979161 B CN114979161 B CN 114979161B CN 202110461212 A CN202110461212 A CN 202110461212A CN 114979161 B CN114979161 B CN 114979161B
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edge computing
user
target application
computing node
data
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CN114979161A (en
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李小青
王钢
丁小波
曾显珣
蔡茂贞
黄珊珊
邓建明
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China Mobile Communications Group Co Ltd
China Mobile Internet Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Internet Co Ltd
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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
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/1021—Server selection for load balancing based on client or server locations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

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Abstract

The embodiment of the invention discloses an application migration method, device and equipment for edge computing and a storage medium. The method comprises the following steps: acquiring trip related data representing a trip destination of the user and transmitting the trip related data to a regulation server so that the regulation server determines a second edge computing node (serving the trip destination) according to the trip related data; acquiring node information of a second edge computing node from a regulation server; determining target application data to be migrated to a second edge computing node (the second edge computing node provides data required by service for a user); and according to the node information, sending the target application data to a second edge computing node so that the second edge computing node pre-loads the target application data and a required computing model before a user reaches a travel destination. According to the scheme, the feedback time delay of the processing task result can be reduced and the user experience is improved through preloading the target application data and the required calculation model.

Description

Application migration method, device, equipment and storage medium for edge calculation
Technical Field
The present invention relates to the field of internet technologies, and in particular, to an application migration method, apparatus, device, and storage medium for edge computing.
Background
Edge computing refers to computing performed primarily or entirely on distributed device nodes on the side near the user or data source, using an open platform with network, computing, storage, application core capabilities as a whole. The application service is initiated at the edge side, so that faster network service response can be generated, and the basic requirements of the industry in the aspects of real-time service, application intelligence, safety, privacy protection and the like are met; when the user is in different areas, the edge computing server corresponding to the corresponding area provides service for the user, so that when the user moves, the switching of the accessed edge computing server is inevitably involved.
In the prior art, when a user is moving, a target MEC (Mobile Edge Computing ) server to be accessed by the user is predicted generally before the user enters a certain area, and then when a user terminal enters the area, the MEC server accessed by the user is switched to the target MEC server, so that services are provided for the user based on the target MEC server. Through the prior art scheme, the time delay for providing services for the user can be reduced to a certain extent, but the requirement of the user on feedback time delay may still not be met.
Therefore, a technical solution is needed to solve the problem that the delay of providing services to users by adopting the edge computing method in the prior art is still long.
Disclosure of Invention
The embodiment of the invention provides an application migration method, device, equipment and storage medium for edge computing, which are used for solving the problem that the time delay for providing services for users in an edge computing mode in the prior art is still long.
In order to solve the technical problems, the embodiment of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides an application migration method for edge computing, which is applied to a first edge computing node, where the first edge computing node is an edge computing node serving a current location of a user, and includes:
acquiring travel related data of a user, and transmitting the travel related data to a regulation server so that the regulation server determines a second edge computing node according to the travel related data; wherein the trip related data is data characterizing a trip destination of the user; the second edge computing node is an edge computing node serving the travel destination;
acquiring node information of the second edge computing node from the regulation server;
Determining target application data to be migrated to the second edge computing node; the target application data is data required by the second edge computing node for providing service for the user;
and according to the node information, sending the target application data to the second edge computing node so that the second edge computing node pre-loads the target application data and a required computing model before the user reaches the travel destination.
In a second aspect, an embodiment of the present invention further provides an application migration method for edge computing, which is applied to a second edge computing node, where the second edge computing node is an edge computing node serving a travel destination of a user, and the method includes:
receiving target application data sent by a first edge computing node; the target application data is data required by the second edge computing node for providing service for the user;
preloading the target application data and the required calculation model before the user reaches the travel destination;
and responding to a service request sent by the user at the journey destination based on a target application, and processing the service request based on the preloaded calculation model and the target application data.
In a third aspect, an embodiment of the present invention further provides an application migration apparatus for edge computing, which is applied to a first edge computing node, where the first edge computing node is an edge computing node serving a current location of a user, and the apparatus includes:
the acquisition module is used for acquiring the travel related data of the user, and transmitting the travel related data to the regulation and control server so that the regulation and control server can determine a second edge computing node according to the travel related data; wherein the trip related data is data characterizing a trip destination of the user; the second edge computing node is an edge computing node serving the travel destination;
the acquisition module is used for acquiring node information of the second edge computing node from the regulation server;
the determining module is used for determining target application data which needs to be migrated to the second edge computing node; the target application data is data required by the second edge computing node for providing service for the user;
and the sending module is used for sending the target application data to the second edge computing node according to the node information so that the second edge computing node pre-loads the target application data and the required computing model before the user reaches the travel destination.
In a fourth aspect, an embodiment of the present invention further provides an application migration apparatus for edge computing, applying a second edge computing node, where the second edge computing node is an edge computing node serving a travel destination of a user, and the apparatus includes:
the receiving module is used for receiving the target application data sent by the first edge computing node; the target application data is data required by the second edge computing node for providing service for the user;
a preloading module for preloading the target application data and the required calculation model before the user reaches the travel destination;
and the processing module is used for responding to the service request sent by the user at the journey destination based on the target application, and processing the service request based on the preloaded calculation model and the target application data.
In a fifth aspect, an embodiment of the present invention further provides an application migration apparatus for edge computing, including:
a memory storing computer program instructions;
a processor, which when executed by the processor, implements an application migration method for edge computing as claimed in any one of the preceding claims.
In a sixth aspect, embodiments of the present invention further provide a computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform an application migration method for edge computing as described in any one of the above.
In the embodiment of the invention, the trip related data representing the trip destination of the user is obtained and sent to the regulation and control server, so that the regulation and control server can determine the second edge computing node serving the trip destination according to the trip related data, and after determining the target application data (the data required by the second edge computing node for providing the service for the user) to be migrated to the second edge computing node, the target application data is sent to the second edge computing node, so that the second edge computing node pre-loads the target application data and the required computing model before the user reaches the trip destination, and when the user reaches the trip destination, the service request sent by the user based on the target application is processed based on the pre-loaded computing model and the target application data. Therefore, as the target application data and the calculation model are preloaded, the edge calculation node serving the travel destination can quickly respond to the service request of the user, the feedback time delay of the processing result of the service request is effectively reduced, the feedback efficiency of the user terminal for receiving the service request is improved, and therefore the user experience is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic view of an application scenario of an application migration method for edge computing according to an embodiment of the present invention.
FIG. 2 is a flow chart of an application migration method for edge computing according to one embodiment of the present invention.
FIG. 3 is a second flow chart of an application migration method for edge computing according to an embodiment of the present invention.
FIG. 4 is a third flow chart of an application migration method for edge computing according to an embodiment of the present invention.
FIG. 5 is a schematic diagram of an application migration system for edge computing in accordance with one embodiment of the present invention.
FIG. 6 is a schematic diagram of an application migration apparatus for edge computing according to one embodiment of the present invention.
FIG. 7 is a second schematic diagram of an application migration apparatus for edge computing according to an embodiment of the present invention.
FIG. 8 is a schematic diagram of an application migration apparatus for edge computing in accordance with one embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a schematic view of an application scenario of an application migration method for edge computing according to an embodiment of the present invention. As shown in fig. 1, the application scenario includes a first edge computing node serving a current location of a user, a second edge computing node serving a travel destination of the user, a user terminal held by the user, and a regulation server; it should be noted that the user terminal is not limited to the mobile terminal shown in fig. 1, and may be an intelligent device such as a portable computer, an intelligent watch, a tablet computer, and a vehicle-mounted terminal.
In a specific application scenario of this embodiment, when a user is in an area corresponding to a first edge computing node, the first edge computing node obtains travel related data of the user, and uploads the travel related data to a regulation server, the regulation server determines a travel destination to which the user will go, determines a second edge computing node serving the travel destination, further sends node information of the second edge computing node to the first edge computing node, and transmits node information of the first edge computing node and identification information of a user terminal to the second edge computing node. After receiving node information returned by the regulation server, the first edge computing node predicts a target application which is required to be used by a user in a second edge computing node with high probability, determines necessary data required to be used when the target application provides service for the user, the first edge computing node transfers the determined necessary data of the target application to the second edge computing node, the second edge computing node receives the data sent by the first edge computing node, and acquires a required computing model from an application server before the user reaches a travel destination, and further reloads the target application data and the required computing model.
It should be noted that fig. 1 is only an exemplary illustration of a specific application scenario of the method provided by the embodiment of the present invention, and is not limited to the embodiment of the present invention.
FIG. 2 is a flow chart of an application migration method for edge computing in one embodiment of the invention. The embodiment of the invention is applied to a first edge computing node, wherein the first edge computing node is an edge computing node serving the current position of a user, and the method shown in fig. 2 can comprise the following steps:
s202, acquiring the travel related data of the user, and sending the travel related data to the regulation server so that the regulation server determines a second edge computing node according to the travel related data.
Wherein the trip-related data is data characterizing a trip destination of the user, for example, a location to be addressed within a future time period recorded in a planning list of the user, such as an address to be addressed after 30 minutes; or, meeting scheduling data; the relevant data can be also used for the current navigation of the user, etc.; any data that may characterize the travel destination of the user may be used as the travel related data, and these are only exemplary of several possible data, and are not limiting of the embodiments of the present invention.
Specifically, after the regulation and control server receives the trip related data sent by the first edge computing node, the regulation and control server predicts the trip destination of the user based on the received trip related data, and further determines a second edge computing node serving the trip destination according to the position information of the trip destination of the user in the established corresponding relationship between the edge computing node and the geographic area.
In this embodiment, the correspondence between each edge computing node and the geographic area of the server may be pre-established. Wherein the location information of each geographical area may be characterized by the latitude/longitude range of each area.
S204, acquiring node information of the second edge computing node from the regulation server.
In this step, the node information may include communication address information of the second edge computing node or identification information of the second edge computing node.
And after the regulation and control server determines the second edge computing node, the node information of the second edge computing node can be returned to the first edge computing node.
S206, determining target application data which needs to be migrated to the second edge computing node.
The target application data is data required by the second edge computing node for providing services for users.
And S208, sending the target application data to a second edge computing node according to the node information, so that the second edge computing node pre-loads the target application data and a required computing model before a user reaches a travel destination.
In this step, the relevant contents for preloading the target application data and the required computational model will be described in detail below.
In the embodiment of the invention, the first edge computing node acquires the journey related data representing the journey destination of the user, and sends the journey related data to the regulation server, so that the regulation server determines a second edge computing node serving the journey destination of the user according to the journey related data. The first edge computing node acquires node information of the second edge computing node from the regulation server, and determines target application data to be migrated to the second edge computing node, wherein the target application data is data required by the second edge computing node for providing services for users, and then the target application data is sent to the second edge computing node according to the node information, so that the second edge computing node pre-loads the target application data and a required computing model before the users reach a travel destination. Therefore, according to the scheme, the target application data and the calculation model are preloaded, so that the edge calculation node serving the travel destination can quickly respond to the service request of the user, the feedback time delay of the processing result of the service request is effectively reduced, the feedback efficiency of the user terminal for receiving the service request is improved, and the user experience is improved.
In one embodiment, in the step 202, the obtaining the trip related data of the user may include: and acquiring the travel related data from application data of the preset type of application stored in the user terminal used by the user and/or the first edge computing node. Wherein the preset type of application comprises at least one of the following types of applications: calendar class applications, map class applications, and office class applications.
Specifically, for different applications, the storage locations of the application data are different; for example, for some applications, the corresponding application data is stored at the user terminal side, and for some applications, the corresponding application data is stored at the first edge computing node; alternatively, for some applications, part of the corresponding application data is stored in the user terminal, and part of the corresponding application data is stored in the first edge computing node.
Therefore, when the scheme of the invention is implemented, the travel related data can be obtained from the user terminal used by the user, and the travel related data can also be obtained from the application data of the preset type application stored in the first edge computing node; or, the partial journey related data can be obtained from the user terminal used by the user, and the other partial journey related data can be obtained from the application data of the preset type application stored in the first edge computing node; the specific acquisition of the trip related data from the user terminal or the first edge computing node may be implemented according to the specific data storage condition of the application. For example, if it is assumed that some of the application data corresponding to the application a is stored in the user terminal and some of the application data is stored in the first edge computing node, the application a needs to acquire the trip-related data corresponding to the application a from the user terminal together with the first edge computing node.
In this embodiment, in the preset type of application, the calendar application may include applications such as a memo, a reminder, and a calendar; the map application can be various map navigation applications, automobile navigation systems and the like; office class applications may include office management systems, work specific software, word processing software, and the like. Accordingly, the application data of the preset type application may include a schedule preset by the user in the calendar type application, such as a corporate meeting, an outbound schedule, etc.; and map navigation routes marked in advance in the map type application by the user or current navigation track data of the user. In addition, the application data of the preset type application can also comprise office time, attendance time, published meeting information and other matters related in the office type application.
For example, if the attendance time is obtained from the office application of the user, such as the work special software, and the attendance time is displayed as the time of checking card for the next work 5:30, and the schedule application of the user terminal, such as the reminding item, is set to remind "turn on the water heater" at the time of the next noon 6:45 and remind "live basketball game" at the time of the next noon 7:00, then the travel destination of the user can be determined to be the residence destination of the user according to the data.
In this embodiment, by acquiring the travel related data from the application data of a plurality of different types of applications, such as a calendar application, a map application, and an office application, the travel arrangement and the travel habit of the user can be comprehensively reflected, so that the accuracy of the determined travel destination is improved, and the accuracy of the predicted edge computing node to be used by the user is further improved.
Optionally, in a specific application scenario, after the first edge computing node obtains the trip related data, the first edge computing node may send an edge computing node prediction request to the regulation server, and send the trip related data to the regulation server along with the edge computing node prediction request; after receiving an edge computing node prediction request sent by a first edge computing node, the regulation and control server analyzes the travel related data of the user from the request, determines a travel destination corresponding to the user based on the travel related data, further determines a second edge computing node corresponding to the travel destination, and returns node information of the second edge computing node to the first edge computing node.
The node information may include communication address information of the second edge computing node or identification information of the second edge computing node.
In a specific embodiment, in step 204, the obtaining, from the regulation server, node information of the second edge computing node specifically includes: and directly acquiring the communication address information of the second edge computing node from the regulation server.
Accordingly, in the step 206, the sending the target application data to the second edge computing node according to the node information includes:
the target application data is sent to the second edge computing node based on the communication address information.
In another embodiment, in step 204, the obtaining, from the regulation server, node information of the second edge computing node specifically includes: and acquiring the identification information of the second edge computing node from the regulation server.
Accordingly, in the step 206, the sending the target application data to the second edge computing node according to the node information includes:
and determining communication address information corresponding to the second edge computing node from a mapping relation between the pre-stored communication address information and the identification information based on the identification information, and further transmitting target application data to the second edge computing node based on the communication address information.
The identification information of the second edge computing node may be coding information preset for each edge node, and the specific expression form may be a character string or the like.
For example, in a specific embodiment, the edge computing nodes in a certain area may be encoded in advance to obtain encoded information corresponding to each edge computing node, for example, 1, 2, 3, and the like, the obtained encoded information is used as identification information of the edge computing node, then a mapping relationship between the identification information of each edge computing node and the communication address information corresponding to each edge computing node is established, and the mapping relationship is stored in each edge computing node.
In this way, after the first edge computing node receives the identification information of the second edge computing node returned by the regulation server, the identification information of the second edge computing node can be matched with the mapping relation, and the communication address information corresponding to the second edge computing node is determined, so that data transmission with the second edge computing node is realized based on the communication address.
Optionally, in a specific embodiment, in addition to obtaining node information of the second edge computing node from the regulation server, the regulation server needs to obtain identification information of the user terminal, that is, the regulation server needs to return the second edge computing node and the identification information of the user terminal to the first edge computing node correspondingly, so that the first edge computing node is convenient to determine which user terminal application data needs to be migrated to the second edge computing node, and it is ensured that the target application data is migrated to the correct edge computing node.
Optionally, in a specific embodiment, after determining node information of the second edge computing node, the regulation server further needs to send notification information to the second edge computing node, so that the second edge computing node is ready to receive data sent by the first edge computing node; specifically, when sending the notification information to the second edge computing node, the regulation server may carry, in addition to the node information of the first edge computing node, the identification information of the user terminal, so that the second edge computing node definitely needs to provide services for which user terminal subsequently.
In one embodiment, the target application data that needs to be migrated to the second edge computing node may be determined through steps A1-A2, and then the target application data may be sent to the second edge computing node:
a1, predicting an application which needs to be used after a user arrives at a travel destination as a target application based on travel related data.
In the step, when the target application is determined, the application with strong relevance between the user and the travel destination, namely the application needed to be used after the user arrives at the travel destination, can be determined as the target application by combining the actual application scene after the user arrives at the travel destination.
For example, the travel destination of the user is the office of the user, and after the user arrives at the travel destination, the user may need to perform attendance checking and card punching, for example, the office software performs card punching through face recognition authentication, fingerprint authentication and other modes, so that the office software performing attendance checking and card punching can be used as a target application. For example, if the user arrives at the office, a translation type of job is required, and the translation software and system can be used as the target application.
For example, according to the user terminal used by the user, as known from the data on the vehicle navigation system, the intelligent parking software can be used as the target application when the user uses the intelligent parking service after driving to reach the travel destination.
For example, if the travel destination of the user is the residence of the user, and the user can know from the information in the schedule application reminding item and watch the basketball game after the user reaches the travel destination, the live broadcast software of watching the basketball game by the user can be used as the target application.
And A2, determining data required by calculation through the second edge calculation node when the target application provides service for the user, and taking the data as target application data.
As shown in the example of step A1, if the attendance checking and card punching software is used as the target application, the target application data includes, but is not limited to, script and image analysis data required in the attendance checking and card punching software. Also for example, if smart parking software is used as the target application, the target application data includes, but is not limited to, GPS location (Global Positioning System ) for the user terminal, ID (Identity document, account number) and user trajectory data.
Also for example, if the game software of the user terminal is used as the target application, the target application data includes, but is not limited to, picture data of a game scene, related data of character settings, and the like.
After determining the target application data, a process of sending the target application data to the second edge computing node needs to be performed. Alternatively, in one embodiment, the target application data may be sent to the second edge computing node by the following specific procedure:
first, a correspondence relationship between target application data and identification information of a target application is established.
And secondly, according to the node information, sending the corresponding relation to a second edge computing node, and sending the target application data to the second edge computing node.
In this step, the first edge computing node may send the correspondence between the target application data and the identification information of the target application, and the target application data to the second edge computing node in the form of a data packet, where the data packet carries node information of the first edge computing node and the second edge computing node, and identification information of the user terminal.
In addition, before the first edge computing node sends the target application data, the average moving speed of the user in a short time can be determined through the existing algorithm, and the currently acquired average moving speed and the position information of the user are sent to the second edge computing node, so that the second edge computing node can conveniently predict the time of the user reaching a travel destination served by the second edge computing node, and the second edge computing node can execute preloaded service before the user reaches the travel destination; therefore, after the user achieves the journey purpose, the second edge computing node can provide services for the user on the basis of the current preloading, so that feedback delay of the services can be reduced, and user experience is improved.
In this embodiment, by predicting the target application that the user may use at the trip destination, the application data can be migrated in a targeted manner, so that the efficiency of transmitting the data is greatly improved.
The method provided by the embodiment of the invention has at least the following beneficial effects:
1. and the target application data and the required calculation model are preloaded before the user reaches the journey destination by predicting a second edge calculation node which the user needs to use and migrating the target application data to the second edge calculation node, so that when the user reaches the journey destination, the service request sent by the user based on the target application is processed based on the preloaded calculation model and the target application data. Therefore, as the target application data and the calculation model are preloaded, the edge calculation node serving the travel destination can quickly respond to the service request of the user, the feedback time delay of the processing result of the service request is effectively reduced, the feedback efficiency of the user terminal for receiving the service request is improved, and the user experience is improved;
2. the travel related data are acquired from the application data of a plurality of preset types of applications such as schedule applications, map applications and office applications, so that the travel arrangement and the travel habit of a user can be comprehensively reflected, the accuracy of the travel related data is ensured, the accuracy of a determined travel destination is improved, and the accuracy of the predicted edge computing node to be used by the user is further improved;
3. By predicting the target application possibly used by the user at the travel destination, application data can be migrated in a targeted manner, and the data transmission efficiency is greatly improved.
The method provided by the embodiment of the invention corresponds to the method provided by the embodiment of fig. 2, and based on the same thought, the embodiment of the invention also provides an application migration method for edge calculation, which is applied to a second edge calculation node, wherein the second edge calculation node is an edge calculation node serving a travel destination of a user. FIG. 3 is a second flowchart of an application migration method for edge computing according to an embodiment of the present invention, where the method of FIG. 3 includes:
s302, receiving target application data sent by a first edge computing node.
The first edge computing node is an edge computing node serving the current position of the user, and the target application data is data required by the second edge computing node for providing service for the user.
S304, pre-loading target application data and required calculation models before the user reaches the travel destination.
Wherein the preloaded required computational model may be obtained from the target application data or from the application server.
And S306, responding to the service request sent by the user at the journey destination based on the target application, and processing the service request based on the preloaded calculation model and the target application data.
The specific implementation process of the embodiment shown in fig. 3 may refer to the steps of the embodiment shown in fig. 2, and the same points as those of the embodiment shown in fig. 2 are not described herein.
In the embodiment of the invention, the second edge computing node receives the target application data sent by the first edge computing node, and the target application data and the required computing model are preloaded before the user reaches the travel destination. When the user arrives at the trip destination, the service request is processed based on the preloaded calculation model and the target application data in response to the service request sent by the user based on the target application. Therefore, as the target application data and the calculation model are preloaded, the edge calculation node serving the travel destination can quickly respond to the service request of the user, the feedback time delay of the processing result of the service request is effectively reduced, the feedback efficiency of the user terminal for receiving the service request is improved, and therefore user experience is improved.
In one embodiment, the second edge computing node receives the target application data sent by the first edge computing node, and may pre-load the target application data and the required computing model before the user reaches the trip destination.
Firstly, a calculation model required by the target application when the target application provides service for a user through the second edge calculation node is obtained from an application server corresponding to the target application.
The calculation model may include various algorithms required in office application, such as a voice recognition model required for translation type work, a living body face recognition algorithm required in attendance checking and card punching, face recognition authentication, or fingerprint recognition algorithm required in fingerprint authentication, etc.; alternatively, algorithms required in navigation-like applications, such as obstacle recognition algorithms required by intelligent parking software, and so forth.
Secondly, establishing a service processing task corresponding to the identification information of the user terminal and the identification information of the target application.
For example, the service processing tasks may include services related to the target application, such as face recognition services related to office software, fingerprint authentication services, network translation services related to translation software and systems, intelligent parking services related to intelligent parking software, and so on.
And loading the target application data and the calculation model corresponding to the service processing task.
For example, the computational model required by the network translation service may be a speech recognition model; the calculation model required by the intelligent parking service can be an obstacle recognition algorithm; the calculation model required by the living body face recognition service of office application can be a living body face recognition algorithm; etc.
In this step, not only is the service processing task required to be loaded, but loading resources, including but not limited to network transmission resources, computing resources of the central processor, and internal storage resources, are reserved for the service processing task.
In addition, the second edge computing node can acquire the travel destination information of the user from the regulation server in advance, and calculate the required time from the position information served by the first edge computing node to the position information of the travel destination according to the received average moving speed of the user and the received position information served by the first edge computing node, so that the time for loading the service processing task can be preset, the service processing task is loaded in a preset time period before the user reaches the travel destination, and the storage resource of the second edge computing node is saved while the service processing task can be ensured to be preloaded.
In this embodiment, by acquiring the calculation model from the application server, and establishing the service processing task corresponding to the identification information of the user terminal and the identification information of the target application, and further loading the target application data and the calculation model corresponding to the service processing task, it is possible to facilitate that the second edge computing node reserves processing resources for the service processing task before the user reaches the trip destination, so that the subsequent response to the service request can be fast.
In one embodiment, the service request carries identification information of the target application and identification information of the user terminal, and a target service processing task corresponding to the identification information of the target application and the identification information of the user terminal is searched from the pre-established service processing tasks, so that the service request is processed based on a calculation model corresponding to the pre-loaded target service processing task and target application data.
For example, after the user terminal arrives at the trip destination, based on the office application, a service request of living body face recognition is initiated to the second edge computing node, where the service request carries identification information of the target application and identification information of the user terminal, and then the second edge computing node may search for a target service processing task corresponding to the identification information of the target application and the identification information of the user terminal from pre-established service processing tasks, that is, living body face recognition service. After determining that the pre-established service processing task corresponds to the living body face recognition service, the living body face recognition service can be executed by utilizing the reserved loading resource. Specifically, since the office address, the image analysis data and other target application data corresponding to the office application are preloaded, and the calculation models such as the living face recognition algorithm and the like are preloaded, the second edge calculation node can rapidly complete the living face recognition task based on the face image carried in the service request, meanwhile, whether the office address is consistent with the current position information or not can be compared, if so, authentication passing can be determined, and further the task execution result is fed back.
In this embodiment, the service request is processed based on the calculation model corresponding to the preloaded target service processing task and the target application data, so that the time for responding to the service request can be shortened, the feedback delay of the service processing task is effectively reduced, the efficiency of processing the service request is further improved, and the user experience is improved.
FIG. 4 is a schematic flow chart of an application migration method for edge computing in one embodiment of the invention, as shown in FIG. 4, the method may include the steps of:
s401, the first edge computing node obtains travel related data from application data of a preset type of application stored in a user terminal used by a user and/or the first edge computing node.
Wherein the preset type of application comprises at least one of the following types of applications: calendar class applications, map class applications, and office class applications. The application data in the preset type of application may include a schedule preset by a user in a calendar type application, such as a corporate meeting, an outgoing plan, etc.; or, the user marks map navigation route in advance in the map type application; or, user travel track data in a preset time period; or office time, attendance time, published meeting information and other matters related to office applications.
And S402, the first edge computing node sends the journey related data to the regulation and control server so that the regulation and control server determines a second edge computing node according to the journey related data.
Wherein the trip related data is data characterizing a trip destination of the user and the second edge computing node is an edge computing node serving the trip destination.
S403, the first edge computing node acquires communication address information of the second edge computing node from the regulation server.
S404, the first edge computing node predicts an application needed to be used after the user arrives at the journey destination as a target application based on the journey related data.
Taking the travel destination as an office place of a user as an example, after the user arrives at the travel destination, the user needs to perform attendance checking and card punching, and then office software for performing attendance checking and card punching can be used as a target application. If the user arrives at the office, the translation type work is needed, and the translation software and the system can be used as target application.
For example, if the user uses the intelligent parking service after driving to the trip destination, the intelligent parking software can be used as the target application.
Also for example, if the travel destination of the user is the residence of the user, if the user is to watch a basketball live game after arriving at the residence, the user may be targeted to watch live software of the basketball game.
And S405, when the first edge computing node determines that the target application provides services for the user, the second edge computing node performs data required by computation to serve as target application data.
The target application according to S404 may speculate that the target application data includes, but is not limited to, script, image parsing data required in the attendance checking and card punching software, GPS positioning (Global Positioning System ), ID (Identity document, account number) and user trajectory data of the user terminal in the smart parking software.
Also for example, if the target application is game software, the target application data may be screen data of a game scene involved in the game software, data on character settings, or the like.
S406, the first edge computing node sends the target application data to the second edge computing node according to the communication address information of the second edge computing node.
S407, the second edge computing node receives the target application data sent by the first edge computing node.
The data required for the second edge computing node to provide the service for the user is the target application data, which is illustrated in S405 and will not be described in detail.
S408, the second edge computing node obtains a computing model required by the target application when the target application provides service for the user through the second edge computing node from an application server corresponding to the target application.
For example, the computational model required by the network translation service may be a speech recognition model; the calculation model required by the intelligent parking service can be an obstacle recognition algorithm; the calculation model required by the living body face recognition service of office application can be a living body face recognition algorithm; etc.
S409, the second edge computing node establishes a service processing task corresponding to the identification information of the user terminal and the identification information of the target application, and loads target application data and a computing model corresponding to the service processing task.
In this step, loading the target application data and the computing model corresponding to the service processing task includes reserving loading resources, such as network transmission resources, computing resources of the central processing unit, and internal storage resources, for the service processing task.
S410, the second edge computing node responds to a service request sent by a user at a journey destination based on the target application, and searches for a target service processing task corresponding to the identification information of the target application and the identification information of the user terminal from pre-established service processing tasks.
S411, the second edge computing node processes the service request based on the computing model corresponding to the preloaded target service processing task and the target application data.
And S412, the second edge computing node feeds back the processing result of the target service processing task to the user terminal.
The method provided by the embodiment of the invention has at least the following beneficial effects:
1. and the target application data and the required calculation model are preloaded before the user reaches the journey destination by predicting a second edge calculation node which the user needs to use and migrating the target application data to the second edge calculation node, so that when the user reaches the journey destination, the service request sent by the user based on the target application is processed based on the preloaded calculation model and the target application data. Therefore, as the target application data and the calculation model are preloaded, the edge calculation node serving the travel destination can quickly respond to the service request of the user, the feedback time delay of the processing result of the service request is effectively reduced, the feedback efficiency of the user terminal for receiving the service request is improved, and the user experience is improved;
2. the travel related data are acquired from the application data of a plurality of preset types of applications such as schedule applications, map applications and office applications, so that the travel arrangement and the travel habit of a user can be comprehensively reflected, the accuracy of the travel related data is ensured, the accuracy of a determined travel destination is improved, and the accuracy of the predicted edge computing node to be used by the user is further improved;
3. By predicting the target application possibly used by the user at the travel destination, application data can be migrated in a targeted manner, and the data transmission efficiency is greatly improved.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
According to the application migration method for edge computing provided in the embodiment of fig. 4, based on the same technical concept, the embodiment of the present invention further provides an application migration system for edge computing, and fig. 5 is a schematic structural diagram of the application migration system for edge computing provided in the embodiment of the present invention, where the application migration system for edge computing is used to execute the application migration method for edge computing described in fig. 4, and as shown in fig. 5, the application migration system for edge computing is applied to a first edge computing node, a second edge computing node, and a regulation server, and the system includes:
The first edge computing node 510 is configured to obtain trip related data of a user, and send the trip related data to the regulation server; acquiring node information of the second edge computing node from the regulation server; determining target application data to be migrated to the second edge computing node; the target application data is data required by the second edge computing node for providing service for the user; according to the node information, the target application data is sent to the second edge computing node;
the regulation server 520 is configured to receive the trip related data sent by the first edge computing node, and determine a second edge computing node according to the trip related data; wherein the trip related data is data characterizing a trip destination of the user; the second edge computing node is an edge computing node serving the travel destination;
the second edge computing node 530 is configured to receive the target application data sent by the first edge computing node; preloading the target application data and the required calculation model before the user reaches the travel destination; and responding to the service request sent by the user at the journey destination based on the target application, and processing the service request based on the preloaded calculation model and the target application data.
In the system shown in fig. 5, the specific implementation process of the functions corresponding to the first edge computing node, the second edge computing node, and the regulation server may refer to the embodiment shown in fig. 2, which is not described herein again.
The system provided by the embodiment of the invention has at least the following beneficial effects:
1. and the target application data and the required calculation model are preloaded before the user reaches the journey destination by predicting a second edge calculation node which the user needs to use and migrating the target application data to the second edge calculation node, so that when the user reaches the journey destination, the service request sent by the user based on the target application is processed based on the preloaded calculation model and the target application data. Therefore, as the target application data and the calculation model are preloaded, the edge calculation node serving the travel destination can quickly respond to the service request of the user, the feedback time delay of the processing result of the service request is effectively reduced, the feedback efficiency of the user terminal for receiving the service request is improved, and the user experience is improved;
2. the travel related data are acquired from the application data of a plurality of preset types of applications such as schedule applications, map applications and office applications, so that the travel arrangement and the travel habit of a user can be comprehensively reflected, the accuracy of the travel related data is ensured, the accuracy of a determined travel destination is improved, and the accuracy of the predicted edge computing node to be used by the user is further improved;
3. By predicting the target application possibly used by the user at the travel destination, application data can be migrated in a targeted manner, and the data transmission efficiency is greatly improved.
According to the application migration method for edge computing provided in the embodiment of fig. 2, based on the same technical concept, the embodiment of the present invention further provides an application migration device for edge computing, and fig. 6 is a schematic diagram of a first structure of the application migration device for edge computing provided in the embodiment of the present invention, where the application migration device for edge computing is configured to perform the application migration method for edge computing described in fig. 2, and as shown in fig. 6, the device includes:
the acquiring and sending module 610 is configured to acquire trip related data of a user, and send the trip related data to a regulation server, so that the regulation server determines a second edge computing node according to the trip related data; wherein the trip related data is data characterizing a trip destination of the user; the second edge computing node is an edge computing node serving the travel destination;
an obtaining module 620, configured to obtain node information of the second edge computing node from the regulation server;
A determining module 630, configured to determine target application data corresponding to a target application that needs to be migrated to the second edge computing node; wherein the target application is an application that the user may use at the travel destination; the target application data is necessary data required by the user to provide service;
and a sending module 640, configured to send the target application data to the second edge computing node according to the node information, so that the second edge computing node pre-loads the computing model related to the target application and the target application data before the user reaches the trip destination.
In one embodiment, the acquiring and sending module 610 includes:
the first obtaining unit is used for obtaining the travel related data from application data of a preset type application stored in a user terminal used by the user and/or the first edge computing node; wherein the preset type of application comprises at least one of the following types of applications: calendar class applications, map class applications, and office class applications.
In one embodiment, the determining module 630 includes:
A prediction unit configured to predict, as a target application, an application that needs to be used after the user arrives at the trip destination, based on the trip-related data;
and the determining unit is used for determining data required by calculation through the second edge computing node when the target application provides service for the user, and the data are used as the target application data.
According to the embodiment of the invention, the travel related data is acquired from the application data of the preset type applications such as the schedule application, the map application and the office application, so that the travel arrangement and the travel habit of the user can be comprehensively reflected, the accuracy of the travel related data is ensured, the edge computing node serving as the travel destination is accurately determined, the communication between the first edge computing node and the second edge computing node is ensured, the user terminal corresponding to the target application data to be migrated is definitely ensured, and the migration of the target application data to the correct edge computing node is ensured, thereby improving the accuracy of the determined travel destination and further improving the accuracy of the edge computing node to be used by the predicted user. Furthermore, by predicting the target application possibly used by the user at the travel destination, application data can be migrated in a targeted manner, so that the data transmission efficiency is greatly improved.
According to the application migration method for edge computing provided in the embodiment of fig. 3, based on the same technical concept, the embodiment of the present invention further provides an application migration device for edge computing, and fig. 7 is a schematic diagram of a second structure of the application migration device for edge computing provided in the embodiment of the present invention, where the application migration device for edge computing is configured to perform the application migration method for edge computing described in fig. 2, and as shown in fig. 7, the device includes:
a receiving module 710, configured to receive target application data sent by the first edge computing node; the target application data is data required by the second edge computing node for providing service for the user;
a preloading module 720 for preloading the target application data and required computing models before the user reaches the trip destination;
and a processing module 730, configured to, in response to a service request sent by the user at the trip destination based on a target application, process the service request based on the preloaded calculation model and the target application data.
In one embodiment, the preloading module 720 includes:
The obtaining unit is used for obtaining a calculation model required by the target application when the target application provides service for the user through the second edge calculation node from an application server corresponding to the target application;
the establishing unit is used for establishing a service processing task corresponding to the identification information of the user terminal and the identification information of the target application;
and the loading unit is used for loading the target application data corresponding to the service processing task and the calculation model.
In one embodiment, the service request carries identification information of the target application and identification information of the user terminal;
the processing module 730 includes:
a searching unit, configured to search a target service processing task corresponding to the identification information of the target application and the identification information of the user terminal from pre-established service processing tasks;
and the processing unit is used for processing the service request based on the preloaded calculation model corresponding to the target service processing task and the target application data.
By adopting the device provided by the embodiment, the computing model is obtained from the application server, the service processing task corresponding to the identification information of the user terminal and the identification information of the target application is established, and then the target application data and the computing model corresponding to the service processing task are loaded, so that the second edge computing node can reserve processing resources for the service processing task before the user reaches the travel destination, and the second edge computing node can rapidly process the service request initiated by the user based on the computing model and the target application data corresponding to the preloaded target service processing task, thereby shortening the time for responding the service request, effectively reducing the feedback delay of the service processing task, further improving the efficiency of processing the service request, and improving the user experience.
Fig. 8 is a schematic structural diagram of an application migration apparatus for edge computing according to an embodiment of the present invention, which can implement details of the application migration method for edge computing in the embodiment of fig. 2 and achieve the same effects. As shown in fig. 8, an application migration apparatus 800 for edge computing includes: a processor 801, a transceiver 802, a memory 803, a user interface 804, and a bus interface, wherein:
in an embodiment of the present invention, the application migration apparatus 800 for edge computing further includes: a computer program stored on the memory 803 and executable on the processor 801, which when executed by the processor 801 performs the steps of:
acquiring travel related data of a user, and transmitting the travel related data to a regulation server so that the regulation server determines a second edge computing node according to the travel related data; wherein the trip related data is data characterizing a trip destination of the user; the second edge computing node is an edge computing node serving the travel destination;
acquiring node information of the second edge computing node from the regulation server;
determining target application data to be migrated to the second edge computing node; the target application data is data required by the second edge computing node for providing service for the user;
And according to the node information, sending the target application data to the second edge computing node so that the second edge computing node pre-loads the target application data and a required computing model before the user reaches the travel destination.
Or, the application migration device for edge computing provided by the embodiment of the present invention may further implement each process of the application migration method embodiment for edge computing shown in fig. 3 and achieve the same effect. Wherein the computer program when executed by the processor 801 performs the steps of:
receiving target application data sent by a first edge computing node; the target application data is data required by the second edge computing node for providing service for the user;
preloading the target application data and the required calculation model before the user reaches the travel destination;
and responding to a service request sent by the user at the journey destination based on a target application, and processing the service request based on the preloaded calculation model and the target application data. In fig. 8, a bus architecture may be comprised of any number of interconnected buses and bridges, and in particular, one or more processors represented by the processor 801 and various circuits of the memory represented by the memory 803. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. The transceiver 802 may be a number of elements, i.e., including a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium. The user interface 804 may also be an interface capable of interfacing with an inscribed desired device for a different user device, including but not limited to a keypad, display, speaker, microphone, joystick, etc.
The processor 801 is responsible for managing the bus architecture and general processing, and the memory 803 may store data used by the processor 801 in performing operations.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the above processes of the application migration method embodiment for edge computing, and can achieve the same technical effects, so that repetition is avoided, and no further description is given here. Wherein the computer readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.

Claims (9)

1. An application migration method for edge computing, applied to a first edge computing node, where the first edge computing node is an edge computing node serving a current location of a user, the method comprising:
acquiring travel related data of a user, and transmitting the travel related data to a regulation server so that the regulation server determines a second edge computing node according to the travel related data; wherein the trip related data is data characterizing a trip destination of the user; the second edge computing node is an edge computing node serving the travel destination;
acquiring node information of the second edge computing node from the regulation server;
determining target application data to be migrated to the second edge computing node; the target application data is data required by the second edge computing node for providing service for the user;
according to the node information, the target application data is sent to the second edge computing node, so that the second edge computing node pre-loads the target application data and a required computing model before the user reaches the travel destination;
Wherein the determining the target application data to be migrated to the second edge computing node includes:
predicting an application to be used after the user arrives at the travel destination as a target application based on the travel related data;
and when the target application is determined to provide service for the user, the data required by calculation is used as the target application data through the second edge calculation node.
2. The method of claim 1, wherein the obtaining trip-related data of the user comprises:
acquiring the travel related data from application data of a preset type of application stored in a user terminal used by the user and/or the first edge computing node;
wherein the preset type of application comprises at least one of the following types of applications: calendar class applications, map class applications, and office class applications.
3. An application migration method for edge computing, applying a second edge computing node, the second edge computing node being an edge computing node serving a travel destination of a user, the method comprising:
receiving target application data sent by a first edge computing node; the target application data is data required by the second edge computing node for providing service for the user; the target application data is an application which needs to be used after the user arrives at the journey destination and is predicted by the first edge computing node based on journey related data and is used as a target application; when the target application is determined to provide services for the user, determining data required by calculation through the second edge calculation node; the trip related data is data characterizing a trip destination of the user;
Preloading the target application data and the required calculation model before the user reaches the travel destination;
and responding to a service request sent by the user at the journey destination based on a target application, and processing the service request based on the preloaded calculation model and the target application data.
4. A method according to claim 3, wherein said preloading of said target application data and required computational models comprises:
acquiring a calculation model required by the target application when the target application provides service for the user through the second edge calculation node from an application server corresponding to the target application;
establishing a service processing task corresponding to the identification information of the user terminal and the identification information of the target application;
and loading target application data corresponding to the service processing task and the calculation model.
5. The method of claim 4, wherein the service request carries identification information of the target application and identification information of the user terminal;
the responding to the service request sent by the user at the journey destination based on the target application, processing the service request based on the preloaded calculation model and the target application data, and comprises the following steps:
Searching a target service processing task corresponding to the identification information of the target application and the identification information of the user terminal from the pre-established service processing tasks;
and processing the service request based on the preloaded calculation model corresponding to the target service processing task and the target application data.
6. An application migration apparatus for edge computing, applied to a first edge computing node, the first edge computing node being an edge computing node serving a current location of a user, the apparatus comprising:
the acquisition and transmission module is used for acquiring the travel related data of the user and transmitting the travel related data to the regulation and control server so that the regulation and control server can determine a second edge computing node according to the travel related data; wherein the trip related data is data characterizing a trip destination of the user; the second edge computing node is an edge computing node serving the travel destination;
the acquisition module is used for acquiring node information of the second edge computing node from the regulation server;
the determining module is used for determining target application data corresponding to target applications which need to be migrated to the second edge computing node; wherein the target application is an application that the user may use at the travel destination; the target application data is necessary data required by the user to provide service;
The sending module is used for sending the target application data to the second edge computing node according to the node information, so that the second edge computing node pre-loads a computing model related to the target application and the target application data before the user reaches the travel destination;
wherein, the determining module includes: a prediction unit and a determination unit;
the prediction unit is used for predicting an application required to be used after the user arrives at the travel destination as a target application based on the travel related data;
and the determining unit is used for determining data required by calculation through the second edge computing node when the target application provides service for the user, and the data are used as the target application data.
7. An application migration apparatus for edge computing, applying a second edge computing node, the second edge computing node being an edge computing node serving a travel destination of a user, the apparatus comprising:
the receiving module is used for receiving the target application data sent by the first edge computing node; the target application data is data required by the second edge computing node for providing service for the user; the target application data is an application which needs to be used after the user arrives at the journey destination and is predicted by the first edge computing node based on journey related data and is used as a target application; when the target application is determined to provide services for the user, determining data required by calculation through the second edge calculation node; the trip related data is data characterizing a trip destination of the user;
A preloading module for preloading the target application data and the required calculation model before the user reaches the travel destination;
and the processing module is used for responding to the service request sent by the user at the journey destination based on the target application, and processing the service request based on the preloaded calculation model and the target application data.
8. An application migration apparatus for edge computing, comprising:
a memory storing computer program instructions;
a processor, which when executed by the processor, implements the application migration method for edge computing of any one of claims 1 to 2, or implements the application migration method for edge computing of any one of claims 3 to 5.
9. A computer-readable storage medium comprising instructions that, when run on a computer, cause the computer to perform the application migration method for edge computing of any one of claims 1 to 2, or to perform the application migration method for edge computing of any one of claims 3 to 5.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109257193A (en) * 2017-07-11 2019-01-22 中国移动通信有限公司研究院 Edge cache management method, personal cloud system and computer readable storage medium
CN111008068A (en) * 2019-11-12 2020-04-14 无锡北邮感知技术产业研究院有限公司 Service migration optimization method and device based on mobile prediction
CN111381962A (en) * 2020-02-28 2020-07-07 中国科学院信息工程研究所 Edge service migration method and device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9258666B2 (en) * 2012-10-17 2016-02-09 International Business Machines Corporation State migration of edge-of-network applications

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109257193A (en) * 2017-07-11 2019-01-22 中国移动通信有限公司研究院 Edge cache management method, personal cloud system and computer readable storage medium
CN111008068A (en) * 2019-11-12 2020-04-14 无锡北邮感知技术产业研究院有限公司 Service migration optimization method and device based on mobile prediction
CN111381962A (en) * 2020-02-28 2020-07-07 中国科学院信息工程研究所 Edge service migration method and device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Anycast――IP的又一通信模式;张丽,严伟,李晓明;计算机研究与发展(06);全文 *

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