KR102172169B1 - Application excution system based on distributed cloud, apparatus and control method thereof using the system - Google Patents

Abstract

The present invention is a cloud-based hybrid of a structure that provides a cloud-based app service provided for an application running in a terminal at an edge located closer to a user (terminal) than a core network and a core network. We propose a distributed cloud-based application execution system for realizing an application execution environment and realizing a handover technology at the edge suitable for such execution environment, a device applied thereto, and an operation method of the device.

Description

Distributed cloud-based application execution system, devices and operating methods applied thereto{APPLICATION EXCUTION SYSTEM BASED ON DISTRIBUTED CLOUD, APPARATUS AND CONTROL METHOD THEREOF USING THE SYSTEM}

The present invention relates to an application execution environment, and more particularly, a hybrid that provides an app service according to an application executed in a terminal in a cloud-based manner at an edge located closer to a user (terminal) than a core network and a core network. A (Hybrid) application execution environment is realized, but it relates to a handover technology at the edge suitable for such execution environment.

Cloud service (or cloud computing) is a technology that provides data services based on IT (Information Technology) resources virtualized on a network using Internet technology, and allows users to process various operations such as data classification, calculation, processing, and analysis. It is a concept technology that borrows and uses IT resources such as functions (processes) and storage space as needed.

Accordingly, the cloud service can compute and process a large amount of data at a high speed that cannot be accommodated at the level of resources actually possessed by the user, and it enables the use of high-performance/high-speed data services based on this.

In recent years, in connection with an application (hereinafter referred to as an application) executed by a user (terminal), an operation processing of data generated in relation to a data service (hereinafter referred to as an application service) according to the application is performed based on virtualization resources on the network. It provides a cloud-based application execution environment.

However, in the existing cloud-based application execution environment, since virtualized resources, that is, a server providing a cloud service, are located on the network, service latency due to physical distance inevitably exists.

Service delay due to such physical distance is acting as a constraint that must be solved in order to satisfy the current trend of demanding ultra-low latency data service.

In addition, since the existing cloud-based application execution environment is a fixed allocation method in which virtualization resources are pre-allocated on a user basis, there is a limit to satisfying the current trend of demanding ultra-low latency/large capacity data services. have.

Accordingly, in the present invention, a hybrid application execution environment that provides an app service according to an app running on a terminal in a cloud-based manner at an edge located closer to the user (terminal) than the core network and the core network. I would like to propose.

In addition, in the present invention, it is intended to newly propose a handover technology at the edge that should be considered in a cloud-based hybrid application execution environment.

The present invention was created in view of the above circumstances, and provides a cloud-based distributed application service based on a cloud at an edge located closer to a user (terminal) than a core network and a core network than a core network and a core network. It is to realize a hybrid) application execution environment, but to newly propose a handover technology at the edge suitable for such execution environment.

The distributed cloud-based application execution system according to the first aspect of the present invention for achieving the above object allocates resources for each user, and an app according to a specific application executed in the terminal based on the resources allocated to the user of the terminal. A core cloud node that performs data operation processing of a service and provides a cloud-based app service to the terminal; And located between the terminal and the core cloud node, based on the application execution resources for the specific application executed in the terminal, performing some data operation processing of the data operation processing of the app service, the cloud-based on the terminal And an edge cloud node that provides distributed app services with the core cloud node; The function of calculating and processing some data of the app service includes a pre-defined handover trigger event of the app service when the terminal performs a wireless section handover from the source base station of the edge cloud node to the target base station of another edge cloud node. On the basis of, the handover is selectively performed from the edge cloud node to the other edge cloud node.

An edge cloud device according to a second aspect of the present invention for achieving the above object includes: a resource allocating unit for allocating application execution resources for a specific application executed in the terminal when a terminal is connected; Among the data of the app service according to the specific application, some data related to a specific function of the cloud-based app service provided to the terminal from the core cloud device of the core network is selected, and other data is transmitted to the core cloud device. Filtering unit; An application execution unit that calculates and processes some data of the selected app service based on the allocated application execution resource, and provides the cloud-based app service to the terminal in a distributed manner with the core cloud device; And a handover control unit for selectively handing over an app function for calculating and processing some data of the app service when the terminal performs handover in a radio section between base stations.

Preferably, the application execution unit may calculate and process data based on a storage node located at a base station terminal to which the terminal connects to the core network.

Preferably, further comprising a group interlocking unit for interworking with each edge cloud device in the edge group in which the edge cloud device is included; The handover control unit, when the terminal handover a radio section from a base station of the edge cloud device to a target base station of another edge cloud device in the edge group, when a pre-defined handover trigger event of the app service occurs, the The app function can be handed over to the other edge cloud device.

Preferably, the handover trigger event may occur when the delay time of the app service is greater than or equal to a preset specific delay time.

Preferably, the handover control unit, when the handover trigger event does not occur, does not handover the app function to the other edge cloud device, and calculates and processes data of the app service received from the core cloud device. A service context of the app service, including a result and a result of calculating and processing some data of the app service by the application execution unit, may be provided to the terminal through the target base station.

Preferably, the application execution unit is executed based on a virtual machine operating based on a user context of the terminal and a virtualization terminal according to the operation of the virtual machine, and the It may be configured as a virtual application that calculates and processes some data of the app service on behalf of a specific application.

Preferably, the handover control unit copies the user context of the terminal to the other edge cloud device, and configures the virtual application based on the user context of the copied terminal from the other edge cloud device. By having the same configuration in the application execution unit, the app function can be handed over to the other edge cloud device.

Preferably, the handover control unit may provide a service context of the app service to the terminal through the target base station until handover of the app function to the other edge cloud device is completed.

Preferably, the delay time of the app service may be measured by the terminal using the cloud-based app service and reported to an edge cloud device that provides the app function to the terminal.

In order to achieve the above object, a method of operating an edge cloud device according to a third aspect of the present invention includes: a resource allocation step of allocating an application execution resource for a specific application executed in the terminal when a terminal is connected; Among the data of the app service according to the specific application, some data related to a specific function of the cloud-based app service provided to the terminal from the core cloud device of the core network is selected, and other data is transmitted to the core cloud device. Filtering step; An application execution step of calculating and processing some data of the selected app service based on the allocated application execution resource, and providing the cloud-based app service to the terminal in a distributed manner with the core cloud device; And a handover control step of selectively handing over an app function for calculating and processing some data of the app service when the terminal performs handover over a radio section between base stations.

Preferably, the edge cloud device interlocks with each edge cloud device in an edge group including the edge cloud device; In the handover control step, when the terminal performs a wireless section handover from a base station of the edge cloud device to a target base station of another edge cloud device in the edge group, whether or not a predefined handover trigger event of the app service occurs. It is determined and, when the handover trigger event occurs, the app function may be handed over to the other edge cloud device.

Preferably, in the handover control step, when the handover trigger event does not occur, the app function is not handed over to the other edge cloud device, and the data of the app service received from the core cloud device is calculated and processed. A service context of the app service including a result of the result and a result of calculating and processing some data of the app service by the application execution unit may be provided to the terminal through the target base station.

Preferably, the application execution step is executed based on a virtual machine operating based on a user context of the terminal and a virtualization terminal according to the operation of the virtual machine, and the app is executed on behalf of the specific application in the terminal. It may be performed by an application execution unit configured as a virtual application that calculates and processes some data of a service.

Preferably, in the handover control step, by copying the user context of the terminal to the other edge cloud device, the virtual application is configured based on the user context of the copied terminal from the other edge cloud device. The application execution unit is configured in the same manner, so that the app function can be handed over to the other edge cloud device.

Preferably, in the handover control step, the service context of the app service may be provided to the terminal through the target base station until the handover of the app function to the other edge cloud device is completed.

Accordingly, according to the distributed cloud-based application execution system according to the present invention, and the device and device operating method applied thereto, the app service according to the application executed in the terminal is located closer to the user (terminal) than the core network and the core network. It realizes a hybrid application execution environment that is distributed and provided based on the cloud at the edge, but has the effect of realizing a handover technology at the edge suitable for this execution environment.

1 is a block diagram showing a distributed cloud-based application execution system according to a preferred embodiment of the present invention.
2 is a block diagram showing a specific configuration of an edge cloud node (device) according to a preferred embodiment of the present invention.
3 is a flow chart showing a process of providing a cloud-based app service distributed in an edge cloud node (device) according to a preferred embodiment of the present invention.
4 is a flowchart illustrating a process of performing a handover of an app function in an edge cloud node (device) according to a preferred embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.

1 is a diagram showing a distributed cloud-based application execution system according to a preferred embodiment of the present invention.

As shown in Fig. 1, the distributed cloud-based application execution system according to the present invention is a cloud service (or cloud computing) that realizes a data service based on an IT (Information Technology) resource virtualized on a network. It is a system to provide.

In particular, the distributed cloud-based application execution system of the present invention performs data operation processing of a data service (hereinafter referred to as an app service) according to an application (hereinafter referred to as an application) executed by a user (terminal) based on virtualization resources on the network. It is related to the cloud-based application execution environment (technology).

In the existing cloud-based application execution environment, a virtualized resource, that is, a server providing a cloud service is located on a network, and a server on the network pre-allocates the virtualized resource based on a user.

Accordingly, in the existing cloud service-based application execution environment, the server on the network interlocks with the app running in the user (terminal), and the data of the app service according to the app is transferred to the virtual resource allocated to the user in the server. Based on calculation and processing.

Accordingly, in the existing cloud-based application execution environment, service latency due to a physical distance between a user (terminal) and a server (virtualized resource) inevitably exists.

Service delay due to such physical distance is acting as a constraint that must be solved in order to satisfy the current trend of demanding ultra-low latency data service.

In addition, in the existing cloud-based application execution environment, because only the user uses the virtualization resources allocated to the user, performance improvement that can be obtained through resource recycling, such as ultra-low latency/large capacity data services, is possible. You can't expect a performance improvement.

Accordingly, in the present invention, by providing a cloud-based application service according to an app running on a terminal at an edge located closer to the user (terminal) than the core network and the core network, the existing cloud-based application execution environment We would like to propose a new type of hybrid application execution environment that improves performance limitations/constraints.

In addition, the present invention is to propose a new handover technology at the edge, which should be considered in the cloud-based hybrid application execution environment proposed by the present invention.

Basically for this, the present invention proposes a distributed cloud-based application execution system for realizing a cloud-based hybrid application execution environment.

FIG. 1 shows an embodiment of a distributed cloud-based application execution system that realizes a cloud-based hybrid application execution environment proposed in the present invention.

As shown in FIG. 1, the distributed cloud-based application execution system of the present invention allocates resources for each user, and a specific application executed in the terminal 10 based on the resources allocated to the user of the terminal 10 ( It is located between the core cloud node 200, which provides a cloud-based app service to the terminal 10 by performing data operation processing of the app service according to 15), and the terminal 10 and the core cloud node 200. , Based on application execution resources for a specific application 15 running in the terminal 10, some data operation processing of the data operation processing of the app service is performed, and a cloud-based app service is provided to the terminal 10 in the core cloud. It includes a node 200 and an edge cloud node 100A that provides distributed distribution.

In the distributed cloud-based application execution system of the present invention, network devices or network equipment involved in data transmission/reception between edge cloud nodes and core cloud nodes exist, but illustration of these devices is omitted for convenience of description.

As can be seen from FIG. 1, the core cloud node 200 and edge cloud nodes capable of providing distributed provision of cloud-based app services may be a plurality (100A, 100B, 100C, ... 100N).

However, for convenience of explanation, one terminal 10 is shown, and a cloud-based app service is distributed to the terminal 10 between the terminal 10 and the core cloud node 200 with the core cloud node 200 Provided edge cloud node (100A) will be described by mentioning.

However, the description by referring to the edge cloud node 100A as the edge cloud node of the present invention is for convenience of description only, and the configuration and function descriptions of the edge cloud node 100A below are all different edge cloud nodes. The same will apply to (100B,100C,...100N).

The core cloud node 200 is located in the core network 1 and provides a cloud service (or cloud computing) that realizes a data service based on virtualized information technology (IT) resources.

Accordingly, the user, that is, the terminal 10, can use the data service based on the cloud service provided by using IT resources such as data classification, calculation, processing and analysis functions (processes) of various computational processing, storage space, etc. have.

In this case, the terminal 10 is a user-side device in a form capable of using a distributed cloud service provided by the distributed cloud-based application execution system of the present invention, and may be, for example, a smartphone, a desktop PC, or a tablet PC.

In particular, the present invention relates to a cloud-based application execution technology (environment) that performs data operation processing of a data service (hereinafter, an app service) according to an application (hereinafter, referred to as an application) running on a terminal based on virtualization resources on a network. Therefore, the core cloud node 200 will be described in terms of cloud-based application execution technology.

The core cloud node 200 allocates resources for each user.

That is, the core cloud node 200 pre-allocates virtualized IT resources for providing cloud services for each user registered in the cloud service provided by the core cloud node 200.

Accordingly, the core cloud node 200 calculates the data of the app service according to the specific application (hereinafter referred to as the app 15) executed in the terminal 10 based on the resources allocated to the user of the terminal 10 as a cloud service target. By performing processing, a cloud service, that is, a cloud-based app service, is provided to the terminal 10.

Specifically, the core cloud node 200 provides a cloud-based app service by interlocking with the app 15 running in the terminal 10 for the terminal 10 by a user registered in the cloud service provided by the user. Can provide.

That is, the core cloud node 200 interworks with the app 15 running in the terminal 10, and processes the data of the app service according to the app 15 based on the resources allocated to the corresponding user inside itself. And, by providing the data operation processing result to the app 15 of the terminal 10, it is possible to provide a cloud service based on a user context, that is, a cloud based app service.

At this time, the data of the app service according to the app 15 includes data (eg, request data, response data, report data, etc.) generated by the terminal 10, specifically the app 15 running on the terminal 10, It includes data (eg, collection data, report data, etc.) generated from a separate sensing device (not shown) built for the app service.

The edge cloud node 100A also provides a cloud service (or cloud computing) that realizes data services based on virtualized IT (Information Technology) resources.

However, the edge cloud node 100A is a method of selectively calculating and processing some data related to a specific function of a cloud service (cloud-based app service) at a location closer to the terminal 10 than the core cloud node 200. , Provides distributed and cloud-based app services with the core cloud node 200.

Specifically, when the terminal 10 is connected, the edge cloud node 100A allocates an application execution resource for the app 15 executed in the terminal 10.

In addition, the edge cloud node 100A selectively performs some data operation processing among data operation processing of the app service according to the app 15 based on the application execution resource, and provides a cloud-based app service to the terminal 10. It can be distributed with the core cloud node 200.

Thus, as shown in Figure 1, the terminal 10 running the app 15, the application session connected between the edge cloud node (100A) and the core cloud node 200 based on the connection with the base station (20A) ① Through, the app service according to the app 15 can be used.

This edge cloud node (100A), based on the storage node located at the base station (20A) end to which the terminal 10 is connected to the core network (1), the core cloud node 200 and the cloud service. It is desirable to provide dispersion.

More specifically, for example, the edge cloud node 100A may include a mobile edge computing node located at the base station 20A.

A mobile edge computing node (hereinafter, MEC node) is a server-type node provided at a base station in order to store large amounts of data that users frequently use or need to transmit quickly, and transmit them immediately upon request.

Therefore, the MEC node implements a storage for storing large-capacity data that users frequently use or require fast transmission.

Accordingly, in the present invention, the edge cloud node 100A provides the core cloud node 200 and the cloud service based on the storage node located at the base station 20A, that is, the storage of the MEC node in the case of a node separate from the MEC node. Distributed can be provided.

In this case, it is preferable that the edge cloud node 100A is also located at the base station 20A.

Alternatively, in the present invention, when the edge cloud node 100A is implemented including the MEC node, the core cloud node 200 and the cloud are based on the storage node located at the base station 20A, that is, the storage it contains. Service can also be distributed.

In this case, the edge cloud node 100A will be located at the base station 20 end.

Alternatively, in the present invention, the edge cloud node 100A, separate from the MEC node, may include a separate storage node or interwork with it, and provide the core cloud node 200 and the cloud service based on this storage node. You can also provide distributed.

From a cloud service point of view, the section through which data generated from the app 15 running on the terminal 10 or the sensing device (not shown) is transferred to the entity providing the cloud service (e.g., data collection Section) is a section from the terminal 10 or the sensing device (not shown) to the base station 20A, and a section in which data introduced into the network is transmitted and processed according to a procedure required for the data (e.g.: The data analysis period) may be referred to as a period from the base station 20A to a subject providing a cloud service.

As can be seen from FIG. 1, in the present invention, by implementing an edge cloud node 100A distributedly providing cloud services provided by the core cloud node 200 at the base station 20A, the cloud service (cloud Computing) is possible.

As described above, in the present invention, the edge cloud node 100A located at the end of the base station 20A close to the core cloud node 200 and the user (terminal) provides an app service according to the app 15 executed in the terminal 10. By providing distributed services based on the cloud, it realizes a cloud-based hybrid application execution environment (technology) that improves the performance limitations/constraints of the existing cloud-based application execution environment.

In this case, in the case of the cloud-based hybrid application execution environment proposed in the present invention, considering that the edge cloud node 100A is located at the base station 20A end, and the terminal 10 is free to move, the terminal When (10) moves, a new handover technology in the edge cloud node is required to handover a cloud-based app service function (hereinafter, an app function) that was distributedly provided by the edge cloud node 100A.

In order to realize such a handover technology in an edge cloud node, in the present invention, the function of calculating and processing some data of the app service provided by the edge cloud node 100A (hereinafter, an app function) is the terminal 10 When handing over a wireless section from the source base station 20A of this edge cloud node 100A to the target base station of another edge cloud node, a predefined handover trigger event of the app service provided to the terminal 10 based on the cloud occurs. Depending on whether or not, the handover is selectively performed from the edge cloud node 100A to another edge cloud node.

The terminal 10 can freely move while using the cloud-based app service provided from the core cloud node 200 and the edge cloud node 100A by running the app 15 (in this case, the application session ①).

For example, as shown in FIG. 1, the terminal 10 uses a cloud-based app service provided from the core cloud node 200 and the edge cloud node 100A in the coverage of the base station 20A, and then the base station It moves to the coverage of (20B) and can move to the coverage of the base station 20C.

In this case, when the terminal 10 moves from the coverage of the base station 20A to the coverage of the base station 20B, the target base station 20B from the source base station 20A according to the existing general radio handover technology. The radio section is handed over to the radio section, and when moving from the coverage of the base station 20B to the coverage of the base station 20C, the radio section handover is performed from the source base station 20B to the target base station 20C.

Here, the process of performing radio section handover between base stations by the terminal 10 may employ one of various existing radio section handover techniques, and thus a detailed description thereof will be omitted.

At this time, the edge cloud node 100A of the present invention is an app function provided to the terminal 10 from the edge cloud node 100A, in other words, a cloud that was distributedly provided to the terminal 10 from the edge cloud node 100A. The based app service function does not unconditionally handover to other edge cloud nodes of the target base station handed over to the radio section whenever the terminal 10 performs a radio section handover.

For example, in the edge cloud node 100A of the present invention, the terminal 10 hands the radio section from the source base station 20A of the edge cloud node 100A to the target base station 20B of the other edge cloud node 100B. Even if it is over, if the service quality of the cloud-based app service provided to the terminal 10 is good, the edge cloud node 100A continues to perform the app function provided to the terminal 10.

Then, the edge cloud node 100A of the present invention is a cloud-based app service provided to the terminal 10 when the terminal 10 performs a wireless section handover to the target base station 20C of the other edge cloud node 100C. If the service quality of is poor, the app functions provided to the terminal 10 from the edge cloud node 100A can be handed over to the edge cloud node 100C.

In this case, whether the service quality of the cloud-based app service provided to the terminal 10 is good or bad is preferably classified by whether or not a predefined handover trigger event of the app service provided to the terminal 10 occurs.

Hereinafter, a specific configuration of an edge cloud node (device) according to a preferred embodiment of the present invention will be described with reference to FIG. 2.

Referring to the edge cloud node (100A), the edge cloud node (100A) of the present invention, when the terminal 10 is connected, an application for a specific application 15 (hereinafter referred to as the app 15) that is executed in the terminal 10 The resource allocator 120 for allocating execution resources and the data of the app service according to the app 15, provided to the terminal 10 from the core cloud device 200 (hereinafter referred to as the core cloud node) of the core network 1 stage A filtering unit 140 that selects some data related to a specific function of a cloud-based app service and delivers other data to the core cloud node 200, and the selected app service based on the allocated application execution resources An application execution unit 130 that provides a cloud-based app service distributedly with the core cloud node 200 to the terminal 10 by calculating and processing some data of the terminal 10, and the terminal 10 handover a wireless section between the base stations. In this case, it includes a handover control unit 150 for selectively handing over an app function that calculates and processes some data of the app service.

In addition, as shown in FIG. 2, the edge cloud node 100A of the present invention may further include a terminal interface unit 110, a group interface unit 160, and a storage interface unit 170.

The terminal interworking unit 110 is a functional unit interworking with the terminal 10 to be connected.

The terminal interworking unit 110, since the edge cloud node 100A is located at the base station 20A end, will interwork with the terminal 10 connected through the base station 20A connection.

Here, the terminal interworking unit 110 may check the terminal 10 connected through a preset authentication procedure, or may check an unspecified terminal 10 connected without an authentication procedure.

At this time, the method in which the terminal 10 is connected to the edge cloud node 100A, more specifically, the terminal interworking unit 110, is a method in which the terminal 10 is searched and connected by an edge cloud node search function mounted on the terminal 10 side. Can be realized.

Here, the search function may be a search function developed for the present invention, but may be a search function provided by a wireless communication (eg, WiFi, etc.) that is used in the past, and is not limited to a separate search function.

Accordingly, the terminal interworking unit 110 receives data (eg, request data, response data, report data, etc.) from the terminal 10 to which the connection is confirmed, and sends the data to the terminal 10 (eg, data calculation processing result_App). Streaming) can be interlocked with the terminal 10.

The resource allocating unit 120 allocates application execution resources for the app 15 executed in the terminal 10 when the terminal 10 is connected.

That is, when the connection of the terminal 10 in the terminal interworking unit 110 is confirmed, the resource allocating unit 120, in the computing resource for data operation processing held by the edge cloud node 100A, the terminal 10 An application execution resource for the app 15 running in can be immediately allocated.

In addition, the resource allocation unit 120, when it is confirmed that the terminal 10 connection from the terminal interworking unit 110 is terminated, previously, recovers the application execution resources allocated for the app 15 running in the terminal 10 can do.

The filtering unit 140, among the data generated in relation to the app 15 running in the terminal 10, collects data related to a specific function of a cloud service provided to the app 15 at the core network 1 stage. It is selected, and other data is transferred to the core network (1).

In this case, the data generated in relation to the app 15 means data generated in connection with the data service provided by the app 15 described above.

That is, the data generated in relation to the app 15 is the data (eg, request data, response data, report data, etc.) generated by the terminal 10, specifically the app 15 in the terminal 10, and the corresponding data. It includes data (eg, collection data, report data, etc.) generated from a separate sensing device (not shown) built for service.

That is, the filtering unit 140 is a cloud provided to the terminal 10 from the core cloud node 200 of the core network 1, among data of the app service according to the app 15 executed in the terminal 10. Some data related to a specific function of the based app service is selected (filtered), and other data is transmitted to the core cloud node 200.

For example, if this time data generated/received in connection with the app service according to the app 15 executed in the terminal 10 is data related to the function of the app service for information display, the filtering unit 140 You can filter (select).

On the other hand, for example, if the current data generated/received in connection with the app service according to the app 15 running on the terminal 10 is data related to the function of the app service for image analysis based on large data, filtering The unit 140 may transmit it to the core network 1, that is, the core cloud node 200 without filtering (selection).

In this case, specifically, the filtering unit 140 converts other data (eg, image analysis data) that are not filtered (selected) into a core network based on a user context (U10 to be described later) of the terminal 10. (1) That is, by transferring to the core cloud node 200, the core cloud node 200 may request a resource-based cloud-based app service previously allocated to a user according to the user context.

In this case, the data transmitted to the core cloud node 200 without being filtered from the edge cloud node 100A is allocated to the user of the terminal 10 from the core cloud node 200 that is linked with big data (storage node). It will be processed based on the resources that have been created, that is, based on the user context.

In addition, the core cloud node 200 stores the result of the data operation processed based on the resources allocated to the corresponding user of the terminal 10 in an internal storage or a storage node interworking with the user context, but the terminal Based on the user context of (10), by providing (delivering) to the app 15 of the terminal 10 through the edge cloud node 100A, it is possible to provide a cloud service, that is, a cloud-based app service.

The application execution unit 130 calculates and processes data (eg, information display data) selected (filtered) by the filtering unit 140 based on the application execution resources allocated by the resource allocating unit 120, and the terminal 10 ) To provide a cloud service, that is, a cloud-based app service, distributed with the core cloud node 200.

Specifically, the application execution unit 130 provides a virtual machine (VM) operating based on the user context U10 of the terminal 10 and a virtualization terminal according to the operation of the virtual machine (VM). It may be configured as a virtual application (vApp) that is executed based on and processes data selected (filtered) by the filtering unit 140 on behalf of the app 15 in the terminal 10.

In addition, it is preferable that the application execution unit 130 composed of a virtual machine (VM) and a virtual application (vApp) is configured and operated on the application execution resources allocated by the resource allocating unit 120 prior to connection to the terminal 10. .

More specifically, for example, in the case of configuring the application execution unit in units of apps in the present invention, under the premise that the application running in the terminal 10 at the time of connection to the terminal 10 is one app 15, the terminal 10 The application execution unit 130 may be configured in the application execution resource allocated to the terminal 10, and when a new app is additionally executed in the terminal 10, the application execution unit for a new app is added to the application execution resource allocated to the terminal 10. It can also be configured.

In addition, the application execution unit 130 composed of a virtual machine (VM) and a virtual application (vApp) is preferably removed from the application execution resources previously allocated by the resource allocating unit 120 when the terminal 10 connection is terminated. .

More specifically, for example, in the case of configuring the application execution unit in units of apps in the present invention, the application execution unit 130 may be removed from the application execution resources allocated to the terminal 10 when the terminal 10 connection is terminated. In addition, even if the connection to the terminal 10 is not terminated, it may be removed from the application execution resources allocated to the terminal 10 when the execution of the app 10 is terminated.

Again, a process of distributing cloud-based app services by referring to the application execution unit 130 will be described as follows.

The application execution unit 130, in detail, the vApp executed based on the virtualization terminal (user context U10 of the terminal 10), the filtering unit 140 based on the application execution resources allocated by the resource allocating unit 120 The selected (filtered) data is computed and processed, and a cloud-based app service is distributed and provided with the core cloud node 200.

The application execution unit 130, that is, the vApp, calculates and processes data based on a storage node (not shown) located at the base station 20A to which the terminal 10 connects to the core network 1. It is desirable.

For example, when the data selected (filtered) by the filtering unit 140 is information display data, the application execution unit 130, that is, the vApp, calculates and processes the data based on the data stored in the storage node (not shown). By (creating an information display screen), a cloud-based app service can be distributed and provided with the core cloud node 200.

At this time, the interlocked storage node (not shown) may be a storage of a separate MEC node as described above, or may be a storage of a MEC node included in the edge cloud node 100A, and a storage node separate from the MEC node May be.

Accordingly, the data selected (filtered) by the edge cloud node 100A is computed and processed by the application execution resources and the application execution unit 130 configured therein, which are dynamically allocated by the edge cloud node 100A, so that the edge cloud node The 100A may selectively distribute and provide a specific function of an app service through a data operation processing selected (filtered) for the app 15 in the terminal 10.

Here, a specific function of the app service may be changed according to a pre-set distribution policy.

Accordingly, depending on how the distributed policy is set, the data filtered by the filtering unit 140 will change, and eventually, a specific function of the cloud-based app service distributed by the edge cloud node 100A will change.

As described above, the distributed policy affecting the data filtering of the filtering unit 140 is the range of functions of the cloud service that the data stored in the storage node (not shown) can support, the type of the app service, the amount of computation required by the app service, and the service speed. It may be set based on at least one of them.

However, as the function range of the cloud service that can support data stored in the storage node (not shown) is larger, the distributed policy is so that the edge cloud node 100A filters data services that require a larger amount of computation than when the function range is small. Can be set.

In addition, as the type of app service is more important for real-time guarantee, a distributed policy may be set to filter in the edge cloud node 100A compared to the opposite case.

In addition, as the amount of computation required by the app service is smaller and the service speed is faster, a distributed policy may be set to filter at the edge cloud node 100A compared to the opposite case.

That is, in the present invention, a control framework capable of controlling distributed provision of cloud services through a distributed policy setting is proposed.

The terminal interworking unit 110 calculates and processes data (eg, information display data) by the application execution unit 130 (eg, generates an information display screen), and stores the result (eg, an information display screen) in the terminal 10. Is provided by the app 15.

At this time, it is preferable that the result of the operation and processing of the data in the application execution unit 130 is provided to the terminal 10 by the terminal interworking unit 110 in a streaming method.

That is, the result of the data operation and processing by the edge cloud node 100A (for example, an information display screen) is provided to the terminal 10 in a streaming method, so that the app 15 running on the terminal 10 receives the streaming data ( Hereinafter, App Streaming) can be immediately output (eg, display) without additional processing.

On the other hand, when the terminal interworking unit 110 receives the result of the operation and processing of the data transmitted to the core cloud node 200 by the core cloud node 200, the terminal 10, specifically, provides it to the app 15 do.

Accordingly, the edge cloud node 100A of the present invention is located closer to the user (terminal) than the core cloud node 200 that provides a cloud-based app service in the core network 1, and is dynamically allocated resources ( Cloud-based app services (specific functions) can be distributedly provided through an application execution unit configured in an application execution resource).

Thus, as shown in Figure 1, the terminal 10 running the app 15, the application session connected between the edge cloud node (100A) and the core cloud node 200 based on the connection with the base station (20A) ① Through, the app service according to the app 15 can be used.

In addition, the edge cloud node 100A of the present invention may further include a storage interworking unit 170.

The storage interworking unit 170 transfers the result of the operation and processing of data in the application execution unit 130 to the core cloud node 200 based on the user context of the terminal, and provides a cloud service, that is, a cloud service at the core network 1 end. It is shared with the core cloud node 200 that provides a base app service.

Specifically, for example, the storage interworking unit 170 transmits the data operation processing result of the application execution unit 130 to the storage node (not shown) to which the edge cloud node 100A interlocks with the user context of the terminal 10 ( U10), but may be provided to the core cloud node 200 based on the user context U10 of the terminal 10 and shared with the core cloud node 200.

In this case, the result of the cloud-based app service distributed by the edge cloud node 100A is also stored on the edge cloud node 100A side and stored in a shared manner on the core cloud node 200 side.

Accordingly, in the present invention, even though the edge cloud node 100A at the base station 20A and the core cloud node 200 on the core network 1 provide a cloud service (cloud-based app service) distributedly, the edge cloud node ( 100A) and each of the core cloud node 200 may maintain a storage state capable of normally providing cloud services.

As described above, in the present invention, an edge cloud located closer to a user (terminal) than the core cloud node 200 and the core cloud node 200 provides a cloud-based app service provided for an app running on a terminal. By realizing the structure (cloud-based hybrid application execution environment) distributed by the node 100A, it becomes possible to provide a cloud service (cloud computing) of some functions (specific functions) of the app service in the data collection section.

In this case, as shown in FIG. 1, in the case of a cloud-based app service selectively provided by the edge cloud node 100A, the service delay (Latency_Edge in FIG. 1) is the existing cloud-based application execution environment (Latency_Core ), it can be significantly reduced (ultimately low latency), and in the case of the cloud-based app service provided by the core cloud node 200, large amounts of data can be computed and processed at high speed as in the existing cloud-based application execution environment. Because of this, service precision will not be compromised.

In addition, in the present invention, the edge cloud node 100A provides a cloud service through an application execution unit configured in a resource (application execution resource) that is dynamically allocated/recovered, thereby creating an environment in which resources for cloud services can be reused. Therefore, performance improvement can be expected to enable ultra-low latency/large data service.

In addition, in the present invention, a cloud computing platform (distributed cloud computing system) of a fluid structure in which one core cloud node and a plurality of edge cloud nodes distribute cloud services is proposed, thereby realizing a distributed cloud service, It is possible to provide a structural environment in which flexible resource interworking (linkage) is possible without having a separate central device.

In addition, in the present invention, due to the aforementioned effects, that is, the effect of enabling flexible resource interworking (linkage) while reducing service latency, traffic reduction at the core network end and flexible scalability of edge cloud nodes. You can expect various side effects such as.

The handover control unit 150, when the terminal 10 performs a wireless section handover between base stations, the application execution unit 130 calculates some data of the app service for the app 15 executed in the terminal 10 Selectively handover the app functions to be processed.

That is, the handover control unit 150 controls the entire process of handover between the edge cloud nodes, the cloud-based app service function (app function) that was distributed to the terminal 10 from the edge cloud node 100A. Plays a role.

At this time, the handover control unit 150, when the terminal 10 performs a radio section handover from the base station 20A of the edge cloud node 100A to the target base station of another edge cloud node in the edge group, the terminal 10 When a predefined handover trigger event of the provided cloud-based app service occurs, the app function is handed over to another edge cloud node.

For example, for each app service provided by each application (app), a parameter for determining whether a handover trigger event occurs, that is, a parameter that can be used to distinguish whether the quality of the app service is good or bad may be defined.

As a more specific example, the delay time of the app service may be the parameter.

Accordingly, the handover control unit 150, when the terminal 10 performs a radio section handover from the base station 20A of the edge cloud node 100A to the target base station of another edge cloud node in the edge group, to the terminal 10 It is possible to determine whether a handover trigger event has occurred by looking at a parameter (eg, delay time) defined in a provided cloud-based app service.

Assuming a delay time as the parameter, the handover control unit 150 may determine that a handover trigger event occurs when the delay time of the cloud-based app service provided to the terminal 10 is more than a predetermined specific delay time. have.

In this way, the handover control unit 150, when the terminal 10 handover a radio section from the base station 20A of the edge cloud node 100A to the target base station of another edge cloud node in the edge group, delay of the app service. If the time is longer than a specific delay time, it is determined that a handover trigger event has occurred, and the app function can be handed over to another edge cloud node.

On the other hand, the handover control unit 150, even when the terminal 10 handover a radio section from the base station 20A of the edge cloud node 100A to the target base station of another edge cloud node in the edge group, the terminal 10 If the handover trigger event of the cloud-based app service provided to is not triggered (eg, delay time <specific delay time), the app function is not handed over to other edge cloud nodes.

Here, the delay time of the app service is measured by the terminal 10 using the cloud-based app service and reported to the edge cloud node that is currently providing the app function to the terminal 10, that is, the edge cloud node 100A. I can.

And, the specific delay time is a preset time value to distinguish whether the service quality is in a good state or a bad state based on the delay time of the app service, and can be changed.

The group interworking unit 160 is a prerequisite for handover of app functions between such edge cloud nodes.

The group interworking unit 160 serves to interwork with each edge cloud device (node) in the edge group including the edge cloud node 100A.

For example, as shown in FIG. 1, it may be assumed that an edge group including an edge cloud node 100A is composed of a plurality of edge cloud nodes 100A, 100B, 100C, ... 100N.

In this case, the group interworking unit 160 interlocks with each of the edge cloud nodes 100B, 100C, ... 100N in the edge group.

The interlocking method at this time may be a method of maintaining a communication session that can be communicated immediately between edge cloud nodes, a method of maintaining a standby state in which communication sessions can be immediately connected between edge cloud nodes, or between edge cloud nodes. It may be a method of sharing related information that can transmit and receive data to the base station of the other edge cloud node.

The terminal 10 can freely move while using the cloud-based app service provided from the core cloud node 200 and the edge cloud node 100A by running the app 15 (in this case, the application session ①).

For example, as shown in FIG. 1, the terminal 10 uses a cloud-based app service provided from the core cloud node 200 and the edge cloud node 100A in the coverage of the base station 20A, and then the base station It moves to the coverage of (20B) and can move to the coverage of the base station 20C.

Assuming this case, the terminal 10, according to the existing general radio handover technology, when moving from the coverage of the base station 20A to the coverage of the base station 20B, from the source base station 20A. Handover a radio section to the target base station 20B (①->②), and handover a radio section from the source base station 20B to the target base station 20C when moving from the coverage of the base station 20B to the coverage of the base station 20C Do (②->③).

The handover control unit 150 provides to the terminal 10 when the terminal 10 performs a radio section handover from the base station 20A of the edge cloud node 100A to the target base station of another edge cloud node in the edge group. Checks whether a handover trigger event occurs in a cloud-based app service.

That is, the handover control unit 150 determines whether a handover trigger event occurs based on the parameter of the app service (eg, delay time) most recently measured/reported from the terminal 10 to the edge cloud node 100A. I can confirm.

Accordingly, the handover control unit 150 determines whether a handover trigger event of the app service occurs (a bad service quality state) or not (a good service quality).

Hereinafter, for convenience of explanation, as a handover trigger event, an example that occurs when the delay time of the app service exceeds a specific delay time will be described.

For example, when the terminal 10 handovers a radio section from the source base station 20A to the target base station 20B (①->②), it is assumed that the delay time of the app service is not more than a specific delay time.

In this case, the handover control unit 150, even if the terminal 10 handover a wireless section from the source base station 20A to the target base station 20B (①->②), the delay time of the app service is more than a specific delay time. It is determined that it is not, and the app function provided to the terminal 10 is not handed over to the edge cloud node 100B.

Instead, the handover control unit 150 is an app including a result of calculating and processing data of the app service received from the core cloud node 200 and a result of calculating and processing some data of the app service by the application execution unit 130 Streaming can be provided to the terminal 10 through the target base station 20B based on the service context (Service Context) of the service (App Streaming Relay).

In this case, as shown in FIG. 1, the terminal 10 running the app 15 is an application session connected between the edge cloud node 100A and the core cloud node 200 based on the connection with the base station 20B. Through ②, the app service according to the app 15 can be used.

That is, compared to the application session ①, the application session ② has the same application session section connected between the edge cloud node 100A and the core cloud node 200, but only the wireless section is changed from the base station 20A to the base station 20B. It becomes.

On the other hand, when the terminal 10 performs a radio section handover from the source base station 20B to the target base station 20C (②->③), it is assumed that the delay time of the app service is greater than or equal to a specific delay time.

In this case, the handover control unit 150, when the terminal 10 handover a wireless section from the source base station 20B to the target base station 20C (②->③), the app executed by the application execution unit 130 A function, that is, a function of a cloud-based app service distributed to the terminal 10, can be handed over to the edge cloud node 100C.

Hereinafter, a process of handing over an app function performed by the application execution unit 130 to the edge cloud node 100C will be described.

The handover control unit 150 copies the user context U10 of the terminal 10 to the edge cloud node 100C, and the application execution unit 130 configured for the app 15 of the terminal 10 My vApp is configured in the same way as the application execution unit configured based on the user context (U10) of the copied terminal 10 from the edge cloud node 100C, so that the app functions are transferred from the edge cloud node 100A to the edge cloud. Handover to node 100C.

Specifically, the handover control unit 150, when the terminal 10 handover a wireless section from the source base station 20B to the target base station 20C (②->③), the delay time of the app service is a specific delay time If it is determined that it is abnormal, the user context U10 of the terminal 10 is copied to the edge cloud node 100C.

That is, the handover control unit 150 copies the user context U10 of the terminal 10 and provides it to the edge cloud node 100C or the edge cloud node 100C is based on the group interworking unit 160 By supporting the user context U10 of the terminal 10 to be copied, the user context U10 of the terminal 10 can be copied to the edge cloud node 100C.

In this way, the terminal 10 is connected to the terminal 10 connected through the base station 20C connection to the edge cloud node 100C copied from the edge cloud node 100A of the user context U10 of the terminal 10 An application execution unit consisting of a virtual machine (VM) and a virtual application (vApp) will be created (configured) in the application execution resource allocated at the time, and the virtual application (vApp) composed of this application execution unit is from the edge cloud node 100A. Based on the copied user context U10, it will be configured in the same manner as the vApp in the application execution unit 130 of the edge cloud node 100A.

In this case, in the edge cloud node 100C where the user context U10 of the terminal 10 is copied from the edge cloud node 100A, the app 15 running on the terminal 10 from the edge cloud node 100A is In other words, it is the same as the virtual machine (VM) is moved as it is the application execution unit 130, which is the subject of the app function that was performed for.

In this way, based on the user context (U10) of the terminal 10 copied from the edge cloud node (100A) to the edge cloud node (100C), the same as the application execution unit (130 = VM) of the edge cloud node (100A). After the application execution unit (= VM) is configured in the edge cloud node 100C, the app function for the app 15 running in the terminal 10 is transferred from the edge cloud node 100A to the edge cloud node 100C. Handover can be completed.

At this time, the handover control unit 150 determines the service context of the app service according to the app 15 executed in the terminal 10 until the handover of the app function to the edge cloud node 100C is completed, the target base station 20C. It is desirable to provide it to the terminal 1 through ).

That is, the handover control unit 150 calculates and processes data of the app service received from the core cloud node 200 until the handover of the app function to the edge cloud node 100C is completed, and the application execution unit ( 130) can provide streaming to the terminal through the target base station 20C, based on the group interworking unit 160, the service context of the app service including the result of processing some data of the app service (App Streaming Relay). ).

In this case, as shown in FIG. 1, the terminal 10 executing the app 15, based on the connection with the base station 20C, until the handover of the app function is completed, the edge cloud node 100A and While using the app service according to the app 15 through the application session ③-1 connected between the core cloud nodes 200, when the handover of the app function is completed, the edge cloud node 100C is connected based on the connection with the base station 20C. ) And the application session ③ connected between the core cloud node 200, the app service may be used.

Hereinafter, a method of operating an edge cloud node (device) according to a preferred embodiment of the present invention, in particular, a process of distributing a cloud-based app service will be described with reference to FIG. 3.

Here, for convenience of description, the configurations shown in FIGS. 1 and 2 described above will be described with reference to the corresponding reference numerals.

According to the operating method of the edge cloud node 100A of the present invention, a distribution policy affecting data selection (filtering) is preset (S100).

According to the method of operating the edge cloud node 100A of the present invention, when the terminal 10 to which the edge cloud node 100A is connected is identified (S110), it recognizes a specific application executed in the terminal 10 (S120). .

Hereinafter, for convenience of description, it will be assumed that the app 15 is executed in the terminal 10.

According to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A allocates an application execution resource for the app 15 running in the terminal 10 (S130).

That is, the edge cloud node 100A can immediately allocate an application execution resource for the app 15 running in the terminal 10 from the computing resource for data operation processing held by the edge cloud node 100A.

And, according to the operating method of the edge cloud node (100A) of the present invention, the edge cloud node (100A) is an application execution unit including a virtual machine (VM) and a virtual application (vApp) to the application execution resources allocated in step S130 Configure (130) (S140).

That is, the application execution unit 130 is executed based on a virtual machine (VM) operating based on the user context (U10) and a virtualization terminal according to the operation of the virtual machine (VM) to transmit data to the terminal ( 10) It consists of a virtual application (Virtual Application, vApp) that performs an operation on behalf of the app 15 within.

And, according to the operating method of the edge cloud node 100A of the present invention, when the edge cloud node 100A receives data generated in relation to the app service according to the app 15 executed in the terminal 10 (S150). ), it is determined whether the data of the received app service is related to a specific function of the core cloud node 200 located in the core network 1 and a specific function of the distributed app service (S160).

At this time, the data generated in relation to the app 15 is the data (eg, request data, response data, report data, etc.) generated by the terminal 10, specifically the app 15 in the terminal 10, and the corresponding data. It includes data (eg, collection data, report data, etc.) generated from a separate sensing device (not shown) built for service.

That is, the edge cloud node 100A filters/selects only data related to a specific function of the app service distributed with the core cloud node 200 located in the core network 1 among the data of the app service (S160 Yes ), and other data is transmitted to the core cloud node 200 (S160 No).

For example, if the current data received in step S150 is data related to a function of an app service for displaying information, the edge cloud node 100A may filter (select) (S160 Yes).

On the other hand, for example, if the current data received in step S150 is data related to the function of the app service for image analysis based on large-capacity data, the edge cloud node 100A does not filter (select) the core cloud node 200 ) Can be delivered (S160 No).

In this case, specifically, the edge cloud node 100A transfers other data (eg, image analysis data) that are not filtered (selected) to the core cloud node 200 based on the user context U10 of the terminal 10. It is transmitted to (S210).

In this case, the data transmitted to the core cloud node 200 without being filtered from the edge cloud node 100A is allocated to the user of the terminal 10 from the core cloud node 200 that is linked with big data (storage node). It will be calculated and processed based on the resource, that is, based on the user context (S220).

In addition, the core cloud node 200 stores the result of the data operation processed based on the resources allocated to the corresponding user of the terminal 10 in an internal storage or a storage node interworking with the user context, but the terminal By transmitting to the edge cloud node 100A based on the user context of (10) (S230), the edge cloud node 100A provides the result of the transmitted data operation processing to the app 15 of the terminal 10. Will do (S240).

Meanwhile, according to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A calculates and processes the data (eg, information display data) selected (filtered) in step S160 (S170), In (10), cloud-based app services are distributed with the core cloud node 200.

That is, the edge cloud node 100A is an application execution resource allocated in step S130 through a vApp that is executed based on the application execution unit 130 configured in step S140, specifically a virtualization terminal (user context of the terminal 10). Based on the operation and processing of data, a cloud-based app service is distributed and provided with the core cloud node 200.

The application execution unit 130 of the edge cloud node 100A, that is, the vApp, refers to a storage node (not shown) located at the base station 20A terminal to which the terminal 10 connects to the core network 1 It is desirable to process the data based on it.

For example, if the data selected (filtered) in step S160 is information display data, the application execution unit 130, that is, the vApp, calculates the data based on the data stored in the storage node (not shown) (information display screen). Generated), it is possible to provide a cloud service distributed with the core cloud node 200.

Accordingly, the data filtered by the edge cloud node 100A is computed and processed by the application execution resources dynamically allocated by the edge cloud node 100A and the application execution unit 130 configured therein, so that the edge cloud node 100A May selectively provide a cloud-based app service (specific function) distributedly through data operation processing filtered (optional) for the app 15 in the terminal 10.

Further, according to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A calculates and processes data (eg, information display data) in the application execution unit 130 (eg, generates an information display screen). A result (for example, an information display screen) is provided to the terminal 10 in a streaming manner to the app 15 (S180).

That is, the result of the data operation and processing by the edge cloud node 100A (for example, an information display screen) is provided to the terminal 10 in a streaming method, so that the app 15 running on the terminal 10 receives the streaming data ( Hereinafter, App Streaming) can be immediately output (eg, display) without additional processing.

In addition, according to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A is a storage node to which the edge cloud node 100A interlocks with the result of processing data by the application execution unit 130. It is stored in (not shown) based on the user context of the terminal 10, but may be provided to the core cloud node 200 based on the user context of the terminal 10 and shared with the core cloud node 200 (S190) ).

In this case, the result of the cloud service (specific function) distributedly provided by the edge cloud node 100A is also stored at the edge cloud node 100A side and also stored at the core cloud node 200 side based on the user context (S200).

Hereinafter, a method of operating an edge cloud node (device) according to a preferred embodiment of the present invention, in particular, a process of performing a handover of an app function in the edge cloud node (device) will be described with reference to FIG. 4.

Here, for convenience of description, the configurations shown in FIGS. 1 and 2 described above will be described with reference to the corresponding reference numerals.

According to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A is each edge cloud node in the edge group including the edge cloud node 100A, that is, edge cloud nodes 100B, 100C, ... 100N) and interworking (S300).

The interlocking method at this time may be a method of maintaining a communication session that can be communicated immediately between edge cloud nodes, a method of maintaining a standby state in which communication sessions can be immediately connected between edge cloud nodes, or between edge cloud nodes. It may be a method of sharing related information that can transmit and receive data to the base station of the other edge cloud node.

In addition, according to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A distributes a cloud-based app service to the terminal 10 with the core cloud node 200 as described with reference to FIG. 3 above. It is assumed that it is being provided (S310).

In this case, as shown in FIG. 1, the terminal 10 running the app 15 is an application session connected between the edge cloud node 100A and the core cloud node 200 based on the connection with the base station 20A. Through ①, the app service according to the app 15 can be used.

According to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A is the terminal 10 from the base station 20A of the edge cloud node 100A to the target base station of another edge cloud node in the edge group. Whether or not handover is performed in the radio section is detected (S320).

According to the operating method of the edge cloud node 100A of the present invention, when the terminal 10 performs a wireless section handover (S320 Yes), the edge cloud node 100A is defined of the app service provided to the terminal 10. Check parameters (eg, delay time) (S330).

Hereinafter, for convenience of description, as described above, as a handover trigger event, an example that occurs when the delay time of the app service exceeds a specific delay time will be described.

And, as in the previous example, when the terminal 10 handover a radio section from the source base station 20A to the target base station 20B (①->②), the delay time of the app service is not more than a specific delay time. I assume.

In this case, according to the operating method of the edge cloud node 100A of the present invention, even if the terminal 10 handovers over a radio section from the source base station 20A to the target base station 20B (①- >②), since the delay time of the confirmed app service is not more than a specific delay time, it is determined that the handover trigger event has not occurred (S340 No), and the app function provided to the terminal 10 is transferred to the edge cloud node 100B. Do not handover.

That is, according to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A does not handover the app function to the edge cloud node 100B, but instead is received from the core cloud node 200. The service context of the app service, including the result of calculating the data of the app service and the result of calculating and processing some data of the app service by its own application execution unit 130, is a target base station ( Streaming may be provided to the terminal 10 through 20B) (App Streaming Relay, S350).

In this case, as shown in FIG. 1, the terminal 10 running the app 15 is an application session connected between the edge cloud node 100A and the core cloud node 200 based on the connection with the base station 20B. Through ②, the app service according to the app 15 can be used.

On the other hand, according to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A determines that a handover trigger event occurs when the delay time of the confirmed app service is more than a specific delay time (S340 Yes), Handover of an app function provided to the terminal 10 is determined (S360).

As in the previous example, when the terminal 10 handovers a radio section from the source base station 20B to the target base station 20C (②->③), it is assumed that the delay time of the app service is greater than or equal to a specific delay time.

In this case, according to the operating method of the edge cloud node 100A of the present invention, when the terminal 10 handovers a radio section from the source base station 20B to the target base station 20C, the edge cloud node 100A (②- >③), because the delay time of the confirmed app service is more than a specific delay time (S340 Yes), the app function performed by the application execution unit 130, that is, the function of the cloud-based app service distributed to the terminal 10 It is decided to handover to the edge cloud node 100C of the target base station 20C.

First, according to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A is an app running in the terminal 10 until the handover of the app function is completed to the edge cloud node 100C ( The service context of the app service according to 15) may be provided to the terminal 10 through the target base station 20C based on group interlocking (App Streaming Relay, S360).

At the same time, according to the operating method of the edge cloud node 100A of the present invention, an app function handover process from the edge cloud node 100A to the edge cloud node 100C is performed (S370).

Specifically, according to the operating method of the edge cloud node 100A of the present invention, the edge cloud node 100A has a specific delay time of the app service when the terminal 10 performs a wireless section handover (②->③). If it is determined that it is longer than the delay time, the user context U10 of the terminal 10 is copied to the edge cloud node 100C (S370).

That is, the edge cloud node 100A copies the user context U10 of the terminal 10 and provides it to the edge cloud node 100C, or the edge cloud node 100C is the terminal 10 based on group interlocking. By supporting to copy the user context U10 of the terminal 10, the user context U10 of the terminal 10 can be copied to the edge cloud node 100C.

In this way, the terminal 10 is connected to the terminal 10 connected through the base station 20C connection to the edge cloud node 100C copied from the edge cloud node 100A of the user context U10 of the terminal 10 An application execution unit consisting of a virtual machine (VM) and a virtual application (vApp) will be created (configured) in the application execution resource allocated at the time, and the virtual application (vApp) composed of this application execution unit is from the edge cloud node 100A. Based on the copied user context U10, it will be configured in the same manner as the vApp in the application execution unit 130 of the edge cloud node 100A (S370).

In this case, in the edge cloud node 100C where the user context U10 of the terminal 10 is copied from the edge cloud node 100A, the app 15 running on the terminal 10 from the edge cloud node 100A is In other words, it is the same as the virtual machine (VM) is moved as it is the application execution unit 130, which is the subject of the app function that was performed for.

In this way, based on the user context (U10) of the terminal 10 copied from the edge cloud node (100A) to the edge cloud node (100C), the same as the application execution unit (130 = VM) of the edge cloud node (100A). After the application execution unit (= VM) is configured in the edge cloud node 100C, the app function for the app 15 running in the terminal 10 is transferred from the edge cloud node 100A to the edge cloud node 100C. Handover can be completed.

When the app function is handed over from the edge cloud node 100A to the edge cloud node 100C, the edge cloud node 100C of the present invention distributes a cloud-based app service to the terminal 10 with the core cloud node 200 Will provide (S380).

In this case, as shown in FIG. 1, the terminal 10 executing the app 15, based on the connection with the base station 20C, until the handover of the app function is completed, the edge cloud node 100A and While using the app service according to the app 15 through the application session ③-1 connected between the core cloud nodes 200, when the handover of the app function is completed, the edge cloud node 100C is connected based on the connection with the base station 20C. ) And the application session ③ connected between the core cloud node 200, the app service may be used.

As described above, according to the distributed cloud-based application execution system according to the present invention, a device (edge cloud node) applied thereto, and an operating method of the device, the core network and the core network provide an app service according to an app executed in the terminal. It is a structure that provides distributed provision at the edge located closer to the user (terminal), and provides a cloud-based hybrid application execution environment that improves the performance limitations/constraints of the existing cloud service-based application execution environment. By realizing it, it derives an effect that satisfies the current trend of demanding ultra-low-latency/large-capacity data services.

In addition, according to the distributed cloud-based application execution system according to the present invention, a device (edge cloud node) applied thereto, and an operating method of the device, handover in an edge cloud node suitable for the cloud-based hybrid application execution environment realized above. By newly realizing the technology, it is possible to improve the completeness of the cloud-based hybrid application execution environment and improve the quality of the app service.

The method of operating an edge cloud node (device) according to an exemplary embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded in the medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler but also high-level language codes that can be executed by a computer using an interpreter or the like. The above-described hardware device may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

Although the present invention has been described in detail with reference to preferred embodiments so far, the present invention is not limited to the above-described embodiments, and the technical field to which the present invention belongs without departing from the gist of the present invention claimed in the following claims. Anyone of ordinary skill in the art will say that the technical idea of the present invention extends to the range in which various modifications or modifications are possible.

According to the distributed cloud-based application execution system according to the present invention, a device and a device operating method applied thereto, a cloud-based hybrid application execution environment is realized, and a handover technology at the edge suitable for such execution environment In terms of realizing this, as it exceeds the limitations of the existing technology, the possibility of marketing or sales of the applied device is sufficient as well as the degree to be practically obvious, so that there is industrial applicability. It is an invention.

100: Edge cloud node (device)
110: terminal interworking unit 120: resource allocation unit
130: application execution unit 140: filtering unit
150: handover control unit 160: group interlocking unit
170: storage connection unit
200: Core Cloud Node

Claims (11)

A core cloud node that provides a cloud-based app service to the terminal by performing data operation processing of an app service according to a specific application executed in the terminal based on resources allocated to a user of the terminal; And
It is located between the terminal and the core cloud node, and performs some data operation processing of the data operation processing of the app service based on the application execution resource for the specific application executed in the terminal, and the cloud-based And an edge cloud node that provides an app service distributedly with the core cloud node;
The function of calculating and processing some data of the app service includes a pre-defined handover trigger event of the app service when the terminal performs a wireless section handover from the source base station of the edge cloud node to the target base station of another edge cloud node. Is selectively handed over from the edge cloud node to the other edge cloud node,
The edge cloud node, when handover of the function to the other edge cloud node, provides the app service to the terminal through the target base station until the handover is completed, a distributed cloud-based application execution system. A resource allocating unit that allocates application execution resources for a specific application executed in the terminal;
Among the data of the app service according to the specific application, some data related to a specific function of the cloud-based app service provided to the terminal from the core cloud device of the core network is selected, and other data is transmitted to the core cloud device. Filtering unit;
An application execution unit that calculates and processes some data of the selected app service based on the allocated application execution resource, and provides the cloud-based app service to the terminal in a distributed manner with the core cloud device; And
When the terminal handovers over a wireless section between base stations, it selectively handovers an app function that calculates and processes some data of the app service, and when handover of the app function to another edge cloud device, until the handover is completed. And a handover control unit for providing the app service to the terminal through a target base station to which the terminal is handed over to the wireless section. The method of claim 2,
The application execution unit,
An edge cloud device, characterized in that processing data based on a storage node located at a base station terminal to which the terminal accesses for connection with the core network. The method of claim 2,
Further comprising a group interworking unit for interworking with each edge cloud device in the edge group including the edge cloud device;
The handover control unit,
When the terminal performs a radio section handover from a base station of the edge cloud device to a target base station of another edge cloud device in the edge group,
An edge cloud device, characterized in that, when a pre-defined handover trigger event of the app service occurs, handover the app function to the other edge cloud device. The method of claim 4,
The handover trigger event,
The edge cloud device, characterized in that generated when the delay time of the app service exceeds a preset specific delay time. The method of claim 4,
The handover control unit,
When the handover trigger event does not occur, the app function is not handed over to the other edge cloud device,
A service context of the app service including a result of calculating and processing the data of the app service received from the core cloud device and a result of calculating and processing some data of the app service by the application execution unit, the Edge cloud device, characterized in that provided to the terminal through a target base station. The method of claim 4,
The application execution unit,
A virtual machine that operates based on a user context of the terminal,
An edge cloud device comprising a virtual application that is executed based on a virtualization terminal according to the operation of the virtual machine and processes some data of the app service on behalf of the specific application in the terminal. . The method of claim 7,
The handover control unit,
By copying the user context of the terminal to the other edge cloud device, the virtual application is configured identically to the application execution unit configured based on the user context of the copied terminal from the other edge cloud device, An edge cloud device, characterized in that the handover of the app function to the other edge cloud device. The method of claim 8,
The handover control unit,
An edge cloud device, characterized in that, until the handover of the app function to the other edge cloud device is completed, the service context of the app service is provided to the terminal through the target base station. The method of claim 5,
The delay time of the app service is,
An edge cloud device, characterized in that it is measured by the terminal using the cloud-based app service and reported to an edge cloud device that provides the app function to the terminal. A resource allocation step of allocating application execution resources for a specific application executed in the terminal;
Among the data of the app service according to the specific application, some data related to a specific function of the cloud-based app service provided to the terminal from the core cloud device of the core network is selected, and other data is transmitted to the core cloud device. Filtering step;
An application execution step of calculating and processing some data of the selected app service based on the allocated application execution resource, and providing the cloud-based app service to the terminal in a distributed manner with the core cloud device; And
When the terminal handovers over a wireless section between base stations, it selectively handovers an app function that calculates and processes some data of the app service, and when handover of the app function to another edge cloud device, until the handover is completed. And a handover control step of providing the app service to the terminal through a target base station to which the terminal is handed over to a radio section.

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