CN112615746A - Edge calculation method, device and system - Google Patents

Edge calculation method, device and system Download PDF

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Publication number
CN112615746A
CN112615746A CN202011545895.9A CN202011545895A CN112615746A CN 112615746 A CN112615746 A CN 112615746A CN 202011545895 A CN202011545895 A CN 202011545895A CN 112615746 A CN112615746 A CN 112615746A
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edge computing
information
cloud platform
target
data
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CN202011545895.9A
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CN112615746B (en
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周学浩
霍启帅
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Glodon Co Ltd
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Glodon Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0806—Configuration setting for initial configuration or provisioning, e.g. plug-and-play
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533—Hypervisors; Virtual machine monitors
    • G06F9/45558—Hypervisor-specific management and integration aspects
    • 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
    • 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
    • H04L67/14—Session management
    • H04L67/141—Setup of application sessions
    • 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
    • H04L67/14—Session management
    • H04L67/143—Termination or inactivation of sessions, e.g. event-controlled end of session
    • H04L67/145—Termination or inactivation of sessions, e.g. event-controlled end of session avoiding end of session, e.g. keep-alive, heartbeats, resumption message or wake-up for inactive or interrupted session
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/34—Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters 
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/562—Brokering proxy services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533—Hypervisors; Virtual machine monitors
    • G06F9/45558—Hypervisor-specific management and integration aspects
    • G06F2009/45575—Starting, stopping, suspending or resuming virtual machine instances
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533—Hypervisors; Virtual machine monitors
    • G06F9/45558—Hypervisor-specific management and integration aspects
    • G06F2009/45595—Network integration; Enabling network access in virtual machine instances

Abstract

The invention discloses an edge calculation method, a device and a system, wherein the edge calculation method comprises the following steps: acquiring initial installation information, wherein the configuration information is used for establishing connection with a target cloud platform; establishing connection with a target cloud platform by using the initial installation information; receiving arrangement rule information issued by a target cloud platform; and constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data. The method comprises the steps that connection with a target cloud platform is established at an edge computing equipment terminal by utilizing initialized installation information, arrangement rule information issued by the target cloud platform is received, an edge computing environment is established, and edge computing is conducted on obtained data; the problem of cloud edge cooperation is solved, application arrangement is uniformly carried out through a cloud platform, and the cloud platform is actively connected with edge computing equipment, so that edge computing efficiency is guaranteed, and flexibility of edge computing capacity is improved.

Description

Edge calculation method, device and system
Technical Field
The invention relates to the technical field of data processing, in particular to an edge calculation method, device and system.
Background
With the maturity of internet technology and the popularization of applications requiring large network bandwidth, the existing edge computing device performs application arrangement by an application arrangement rule preset locally so as to perform edge computing on the acquired device real-time data, so that a larger network bandwidth is required to support the edge computing device, and application arrangement cannot be uniformly performed by a cloud platform and active connection with the edge computing device is performed, thereby causing high edge computing requirements, low efficiency and poor flexibility.
Disclosure of Invention
In view of this, embodiments of the present invention provide an edge computing method, apparatus, and system, which solve the problem that the existing method cannot uniformly perform application arrangement through a cloud platform and actively connect with an edge device, thereby resulting in high edge computing requirement, low efficiency, and poor flexibility.
According to a first aspect, an embodiment of the present invention provides an edge calculation method, including:
acquiring initial installation information, wherein the initial installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and the dependency relationship of the functional module and the service, and the configuration information is used for establishing connection with a target cloud platform;
establishing connection with the target cloud platform by using the initial installation information;
receiving arrangement rule information issued by the target cloud platform, wherein the arrangement rule information comprises target function module information;
and constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data.
According to the edge computing method provided by the embodiment of the invention, the connection with the target cloud platform is established by utilizing the initialized installation information at the edge computing equipment terminal, the arrangement rule information sent by the target cloud platform is received, and an edge computing environment is established so as to perform edge computing on the obtained data; the problem of cloud edge cooperation is solved, application arrangement is uniformly carried out through a cloud platform, and the cloud platform is actively connected with edge computing equipment, so that edge computing efficiency is guaranteed, and flexibility of edge computing capacity is improved.
With reference to the first aspect, in a first implementation manner of the first aspect, the function module is an application container mirror image, the orchestration rule information further includes a unique identifier of the application container mirror image, and the constructing an edge computing environment according to the orchestration rule information and the installation script to perform edge computing on the obtained data includes:
based on the unique identifier of the target application container mirror image, pulling a corresponding target application container mirror image from the installation script;
and starting the service corresponding to the target application container mirror image to construct the edge computing environment.
According to the edge computing method provided by the embodiment of the invention, the corresponding target application container mirror image is pulled in the installation script, so that the corresponding service is started, and the construction of an edge computing environment is finally realized; edge calculation is achieved through the arrangement rule information issued by the cloud platform, and the problem of edge coordination is solved.
With reference to the first aspect, in a second implementation manner of the first aspect, the establishing a connection with the target cloud platform by using the initial installation information includes:
pulling the cooperative edge component by using the installation script;
establishing network connection with the target cloud platform based on the cooperative edge component and the configuration information;
extracting identity authentication information in the initialization installation information;
and sending the identity authentication information to the target cloud platform for identity verification so as to establish connection with the target cloud platform.
According to the edge computing method provided by the embodiment of the invention, the connection between the edge computing equipment and the cloud platform is established through pulling and coordinating the edge components and the configuration information, so that the stability of data communication between the edge computing equipment and the cloud platform is ensured; and the identity authentication is carried out on the accessed edge computing equipment through the established network connection, and the identity authentication information in the initial installation information is compared, so that the safety and the reliability of information communication are ensured.
With reference to the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the constructing an edge computing environment according to the orchestration rule information and the installation script to perform edge computing on the obtained data further includes:
receiving updated arrangement rule information issued by the target cloud platform by using the cooperative edge component;
and updating the edge computing environment based on the updated orchestration rule information.
According to the target detection method provided by the embodiment of the invention, the arrangement rule is directly updated through the target cloud platform, and then the edge computing equipment receiving the updated arrangement rule updates the edge computing environment, so that the cloud edge coordination capability is improved.
With reference to the first implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the constructing an edge computing environment according to the orchestration rule information and the installation script to perform edge computing on the obtained data further includes:
acquiring data to be processed, wherein the data to be processed carries a data processing mode, and the data processing mode comprises the following steps: data reasoning;
when the data processing mode is data reasoning, preprocessing the data to be processed through the application container mirror image to obtain target data meeting the data reasoning requirement;
carrying out data reasoning on target data, determining a reasoning result, returning the reasoning result to the application container mirror image, and sending the reasoning result to the target cloud platform
According to the edge calculation method provided by the embodiment of the invention, data processing is carried out according to the data processing mode carried by the data to be processed, so that the edge calculation processing of the data to be processed is realized, the convenience of data processing is ensured, and the processing efficiency is improved.
With reference to the fourth implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the data processing manner further includes: and analyzing by a rule engine, wherein an edge computing environment is constructed according to the arrangement rule information and the installation script so as to perform edge computing on the obtained data, and the method further comprises the following steps:
when the data processing mode is rule engine analysis, analyzing the data to be processed through a rule engine, and determining a service processing result so that the rule engine sends the service processing result to the target cloud platform.
According to a second aspect, an embodiment of the present invention provides an edge calculation method, including:
acquiring each functional module, service and dependency relationship thereof;
forming an installation script based on each functional module, service and the dependency relationship thereof;
generating initial installation information by using the installation script and configuration information, wherein the configuration information is used for establishing connection with corresponding edge computing equipment;
and issuing the arrangement rule information to the corresponding edge computing equipment according to the connection with the corresponding edge computing equipment so that the corresponding edge computing equipment constructs an edge computing environment, wherein the arrangement rule information comprises the information of the target function module.
According to the edge computing method provided by the embodiment of the invention, the initialized installation information is generated through the cloud platform, the connection with the corresponding edge computing equipment is established, the arrangement rule information is sent to the corresponding edge computing equipment, the edge computing equipment is ensured to construct an edge computing environment, the edge computing processing of data is carried out, the cloud edge coordination is realized, the problem that the existing method only carries out application arrangement through an application arrangement rule preset locally, the uniform arrangement of the arrangement rule information by the cloud platform is realized, and the flexibility of edge computing is ensured.
With reference to the second aspect, in a first implementation manner of the second aspect, the forming an installation script based on the function modules, the services, and their dependencies, where the forming an installation script includes:
establishing an application arrangement template by using the mirror images of the application containers and the services;
and forming the installation script based on the application editing template, the dependency relationship between each application container mirror image and the service and the configuration information.
According to the edge computing method provided by the embodiment of the invention, the application editing template is established by utilizing the application container mirror images and the corresponding services, and then the installation script is determined according to the dependency relationship between each application container mirror image and the service, so that the normal and stable operation of the edge computing environment of the edge computing equipment is ensured.
With reference to the second aspect, in a second implementation of the second aspect, the establishing a connection with a corresponding edge computing device includes:
acquiring a TCP connection request initiated by a target edge computing device in SSH edge proxy service by utilizing SSH cloud proxy service, wherein the TCP connection request carries the number of the target edge computing device;
and associating the number of the target edge computing device with the TCP connection request through SSH cloud proxy service so as to remotely access the target edge computing device.
According to the edge computing method provided by the embodiment of the invention, the TCP connection is established between the target edge computing device and the cloud platform, the number of the target edge computing device is associated with the TCP connection request so as to remotely access the target edge computing device, and the remote management of the edge computing device and the remote operation and maintenance of the edge computing device are realized through two layers of proxy services, namely SSH cloud proxy service and SSH edge proxy service.
According to a third aspect, an embodiment of the present invention provides an edge computing apparatus, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring initial installation information, the initial installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and the dependency relationship thereof, and the configuration information is used for establishing connection with a target cloud platform;
the connection module is used for establishing connection with the target cloud platform by utilizing the initial installation information;
the receiving module is used for receiving arrangement rule information issued by the target cloud platform, and the arrangement rule information comprises target function module information;
and the computing module is used for constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data.
According to a fourth aspect, an embodiment of the present invention provides an edge computing apparatus, including:
the first processing module is used for acquiring each functional module, service and the dependency relationship thereof;
the second processing module is used for forming an installation script based on each function module, the service and the dependency relationship thereof;
the third processing module is used for generating initial installation information by utilizing the installation script and configuration information, and the configuration information is used for establishing connection with corresponding edge computing equipment;
and the fourth processing module is used for issuing the arrangement rule information to the corresponding edge computing equipment according to the connection with the corresponding edge computing equipment so as to enable the corresponding edge computing equipment to construct an edge computing environment, wherein the arrangement rule information comprises the target function module information.
According to a fifth aspect, an embodiment of the present invention provides an electronic device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the edge calculation method according to the first aspect or any one of the embodiments of the first aspect, or to perform the edge calculation method according to the second aspect or any one of the embodiments of the second aspect.
According to a sixth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the edge calculation method described in the first aspect or any one of the implementation manners of the first aspect, or execute the edge calculation method described in the second aspect or any one of the implementation manners of the second aspect.
According to a seventh aspect, an embodiment of the present invention provides an edge computing system, including:
at least one edge computing device configured to perform the edge computing method of the first aspect or any one of the embodiments of the first aspect;
and the cloud platform is connected with the at least one edge computing device and is used for executing the edge computing method in the second aspect or any one implementation manner of the second aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of an edge calculation method applied to an edge calculation device according to an embodiment of the present invention;
FIG. 2 is a flow diagram of building an edge computing environment in accordance with a preferred embodiment of the present invention;
FIG. 3 is a flow diagram of establishing a connection with a target cloud platform according to an embodiment of the invention;
FIG. 4 is a flow diagram of data processing using an edge computing environment according to an embodiment of the present invention;
FIG. 5 is a flow chart of an edge computing method applied to a target cloud platform according to an embodiment of the present invention;
FIG. 6 is another specific flowchart of the edge computing method applied to a target cloud platform according to the embodiment of the present invention;
FIG. 7 is a detailed flowchart of an edge calculation method according to an embodiment of the invention;
FIG. 8 is a schematic diagram of building an edge computing environment, according to an embodiment of the invention;
FIG. 9 is a schematic diagram of an edge computing device according to an embodiment of the invention;
FIG. 10 is another schematic diagram of an edge computing device according to an embodiment of the invention;
FIG. 11 is a schematic diagram of an edge computing system according to an embodiment of the invention;
fig. 12 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The edge calculation method provided by the embodiment of the invention can be applied to the predictive development of AI application, and also can be applied to the application development and data processing of other mobile phones or computers. In the present invention, the specific application scenario of the edge calculation method is not limited at all, and the development of the AI application and the data processing are described in detail in the following description.
Along with the popularization of AI applications, the existing edge computing devices are subjected to application development by an AI model alone, which results in a large network bandwidth requirement of AI applications, and commercialization of the edge computing AI applications cannot be completed quickly.
The network architecture of the edge computing environment comprises a cloud platform and edge computing equipment, wherein the cloud platform can establish an arrangement rule of an application container and issue the arrangement rule to the edge computing equipment, and the edge computing equipment rapidly carries out corresponding application development according to the arrangement rule so as to realize cloud edge cooperation.
In accordance with an embodiment of the present invention, there is provided an edge computation method embodiment, it should be noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
In the embodiment, an edge calculation method is provided, which can be used for an edge calculation device, such as a computer, a mobile phone, a tablet computer, and the like. Fig. 1 is a flowchart of an edge calculation method according to an embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
and S11, acquiring the initial installation information.
The initialization installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and the dependency relationship of the functional modules, and the configuration information is used for establishing connection with a target cloud platform.
The embodiment is applied to the edge computing device, and the edge computing device acquires initialization installation information sent by the cloud platform in a network communication mode, wherein the initialization installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and a dependency relationship of the functional module, the service and the dependency relationship of the service, and the configuration information is used for establishing connection with a target cloud platform, and the establishment of the connection facilitates subsequent communication transmission of data and information.
Taking the AI application as an example for explanation, the functional module is a specific function of an AI application product corresponding to a specific application scenario in the AI application (for example, building element intelligent identification, quantity inspection of each component, building safety monitoring, and the like in a building internet of things platform), and the service is a core service type and a dependency relationship between services that need to be relied on for realizing the specific function of the product. The configuration information is used for facilitating the edge computing device to inquire and connect with the corresponding target cloud platform, and the configuration information can be uniquely identified through the domain name and the monitoring port of the cloud platform. It should be noted that, in this embodiment, only the functional modules, the services, and the dependency relationships thereof are shown by the installation script by way of example, and may also be identified by other manners such as the installation rule, as long as the functional modules and the services can be obtained and corresponding operations can be performed on the cloud platform, which is not limited in this embodiment.
And S12, establishing connection with the target cloud platform by using the initial installation information.
After the edge computing device acquires the initialization installation information in S11, decompressing and executing the initialization program, that is, the edge computing device may establish a connection with the target cloud platform by using the relevant parameter information in the initialization installation information. For example, a certain building interconnection edge computing device (ZL-EdgePaaS) needs to be developed for building site safety monitoring application, after the ZL-EdgePaaS receives initialization installation information sent by a building interconnection internet of things cloud platform (ZL-CloudPaaS platform), the ZL-EdgePaaS can utilize parameter information in the initialization installation information to connect with the ZL-CloudPaaS platform, so as to ensure interaction with a server, and more quickly realize application development of building site safety monitoring. It should be noted that, this embodiment only illustrates that the cloud platform adopts a ZL-CloudPaaS platform, and in practical application, other cloud platforms may also be selected, and the cloud platform is selected according to the functional requirements of practical application, which is not limited to this embodiment.
And S13, receiving the arrangement rule information issued by the target cloud platform.
After the edge computing device establishes connection with the cloud platform in S12, the edge computing device receives the arrangement rule information issued by the target cloud platform, where the arrangement rule information includes target function module information, that is, related information of each function module of the developed application, and the received arrangement rule information may include information such as a service sequence and a call dependency required for implementing each different function, and there is no limitation on what kind of arrangement rule is specifically used by the edge computing device for application development, and it is only necessary to ensure that the edge computing device can ensure rapid application development and implement the corresponding function.
And S14, constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data.
After the edge computing device obtains the layout rule information in S13, it may use the layout rule information and the installation script to construct an edge computing environment, so as to perform edge computing on the obtained data, and in addition, taking the development of the building site safety monitoring application as an example, ZL-EdgePaaS uses the received layout rule information and the installation script to construct an edge computing environment that implements various functions of building site safety monitoring, so as to implement monitoring on various safety information of building site safety by using the computing environment, and obtain corresponding monitoring results.
Details about this step will be described later.
In the edge computing method provided by the embodiment, connection with a target cloud platform is established by using initialized installation information at an edge computing device, arrangement rule information issued by the target cloud platform is received, and an edge computing environment is established, so that edge computing is performed on acquired data; the problem of cloud edge cooperation is solved, application arrangement is uniformly carried out through a cloud platform, and the cloud platform is actively connected with edge computing equipment, so that edge computing efficiency is guaranteed, and flexibility of edge computing capacity is improved.
In the present embodiment, an edge calculation method is provided, and fig. 2 is a flowchart of an edge calculation method according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
and S21, acquiring the initial installation information.
The initialization installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and the dependency relationship of the functional modules, and the configuration information is used for establishing connection with a target cloud platform. And the function module is an application container mirror.
Please refer to S11 in fig. 1, which is not described herein again.
And S22, establishing connection with the target cloud platform by using the initial installation information.
Please refer to S12 in fig. 1, which is not described herein again.
And S23, receiving the arrangement rule information issued by the target cloud platform, wherein the arrangement rule information comprises target function module information.
For a detailed description, please refer to S13 in the embodiment shown in fig. 1, which is not described herein again.
And S24, constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data.
Specifically, the step S24 includes the following steps:
and S241, pulling the corresponding target application container mirror image from the installation script based on the unique identifier of the target application container mirror image.
Container technology can effectively partition resources managed by a single operating system to isolated groups to better balance conflicting resource usage requirements among the groups. An application function runs in each container, different containers are isolated from each other, and a communication mechanism can be established between the containers. The creation and stopping of the container are very fast, the resource requirement is much lower than that of the virtual machine, and therefore the function module in the installation script is the application container image in the embodiment. The edge computing device can pull the corresponding target application container mirror image from the installation script to perform subsequent application development and corresponding data processing.
The orchestration rule information further includes unique identifiers for application container images, where each application container image has its specific unique identifier organized into the orchestration rule information to facilitate ensuring accuracy and efficiency with which the edge computing device pulls the corresponding target application container. The unique identifier of each application container mirror image can be represented by metadata, the metadata can indicate functions of a storage location, historical data, resource search, file record and the like of a target, the metadata is an electronic catalog, in order to achieve the purpose of cataloguing, the content or characteristics of data must be described and collected, and then the purpose of assisting data retrieval is achieved. Each application container corresponds to a unique identifier, so that the edge computing device can quickly pull the corresponding target application container mirror image in the installation script.
And S242, starting the service corresponding to the mirror image of the target application container to construct an edge computing environment.
After the target application container mirror image is pulled, the service corresponding to the target application container mirror image can be started, an edge computing environment is built, management of each edge computing device is achieved, the externally-opened service port of the edge device end is dynamically added and deleted directly through the dynamic routing management function, and different business application requirements are met.
In the edge computing method provided by the embodiment, connection with a target cloud platform is established by using initialized installation information at an edge computing device, arrangement rule information issued by the target cloud platform is received, and an edge computing environment is established, so that edge computing is performed on acquired data; the problem of cloud edge cooperation is solved, application arrangement is uniformly carried out through a cloud platform, and the cloud platform is actively connected with edge computing equipment, so that edge computing efficiency is guaranteed, and flexibility of edge computing capacity is improved.
In the present embodiment, an edge calculation method is provided, and fig. 3 is a flowchart of an edge calculation method according to an embodiment of the present invention, as shown in fig. 3, the flowchart includes the following steps:
and S31, acquiring the initial installation information.
Please refer to S11 in fig. 1, which is not described herein again.
And S32, establishing connection with the target cloud platform by using the initial installation information.
Specifically, the step S32 includes the following steps:
s321, pulling the cooperative edge component by using the installation script.
The cloud edge cooperative component is added to achieve the purpose of cloud edge cooperative work, and the edge computing device pulls the cooperative edge component of the cloud edge cooperative component by using the installation script so as to be connected with the cloud platform through the cooperative edge component and conduct data communication.
S322, establishing network connection with the target cloud platform based on the cooperative edge component and the configuration information.
According to the coordinated edge components of the cloud edge cooperative components and ZL-CloudPaaS platform configuration information (domain name and monitoring port) in the configuration file information, the edge computing equipment is ensured to actively establish network connection with the cloud platform, and the network connection can be realized through a Websocket protocol. It should be noted that, the configuration information is only described by taking a domain name and a monitoring port as examples, and in practical application, the configuration information may also be other information that uniquely identifies the cloud platform, which is not limited in this embodiment.
And S323, extracting the identity authentication information in the initialization installation information.
When the cloud platform generates the initialization installation information, the identity authentication information of the edge computing equipment which needs communication connection is combined into the initialization installation information, so that the identity authentication of the edge computing equipment is performed subsequently, the accuracy of data communication is ensured, and the efficiency of application development is further ensured.
And S324, sending the identity authentication information to the target cloud platform for identity verification so as to establish connection with the target cloud platform.
After the edge computing device establishes network connection with the cloud platform, identity authentication information can be sent to the target cloud platform for identity verification, and in the authentication process, the identity authentication information (which can be an ID or a key of the device) sent by the edge computing device can be compared and matched with a preset device and key storage list in the cloud platform, and connection with the target cloud platform is established under the condition that authentication is passed. In this embodiment, the method further includes a case of authentication failure, and if the identity authentication information is not matched, the edge computing device is re-accessed to the cloud platform, and the authentication process is re-performed, in order to ensure development efficiency, if authentication fails for more than 3 times, the process of accessing the edge computing device to the cloud platform is stopped, error reporting information is sent, and manual intervention is waited. It should be noted that, this embodiment only exemplifies that the authentication process is performed 3 times, and in practical application, the authentication process may be set according to practical requirements, and this embodiment is not limited to this.
And S33, receiving the arrangement rule information issued by the target cloud platform, wherein the arrangement rule information comprises target function module information.
Please refer to S13 in fig. 1, which is not described herein again.
And S34, constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data.
Specifically, the step S34 further includes the following steps:
and S341, receiving the updated arrangement rule information sent by the target cloud platform by using the cooperative edge component.
For example, after the developer reconfigures the container arrangement rule of the AI application on the ZL-CloudPaaS platform, the updated arrangement rule is automatically issued to the cooperative edge component of the core container service on the edge device side.
And S342, updating the edge computing environment based on the updated arrangement rule information.
And after receiving the updated arrangement rule information, the cooperative edge component automatically completes the version updating of all container services except the cooperative edge component according to the new container arrangement information.
As an optional implementation manner of this embodiment, in S34, after the edge computing environment is constructed, the following steps may be adopted to perform edge computing on the acquired data. Specifically, the method can further comprise the following steps:
(1) and acquiring data to be processed, wherein the data to be processed carries a data processing mode.
In the application of building site safety monitoring, after different target application container images of each module are pulled, on-site data to be processed can be obtained through a data acquisition container, and the data to be processed sent from the outside can also be directly received as long as the data to be processed can be obtained; the data to be processed carries a data processing mode, wherein the data processing mode comprises the following steps: the data inference may be, for example, specified rule information (for example, directly filter data), or may also be a rule for performing data analysis processing through a corresponding data analysis algorithm, as long as corresponding operations are performed on data to be processed through a corresponding data processing manner, and this embodiment is not limited thereto.
(2) When the data processing mode is data reasoning, preprocessing the data to be processed by applying the container mirror image to obtain target data meeting the data reasoning requirement.
(3) And carrying out data reasoning on the target data, determining a reasoning result, and returning the reasoning result to the application container mirror image so as to send the reasoning result to the target cloud platform.
Taking the development of the above-mentioned construction site safety monitoring application as an example, as shown in fig. 4, 1, a data acquisition container acquires real-time data of a monitoring device, such as video monitoring data or image monitoring data of a construction site; 2. forwarding the data to a corresponding AI application container to preprocess the data (e.g., adjusting the size of a picture, pixels, etc.); 3. the processed data are forwarded to a TensorFlow container (a symbolic mathematical system based on data flow programming), and intelligent analysis is carried out on the data; 4. and then, the inference result generated by the analysis (for example, the field worker does not wear a safety helmet) is returned to the AI application container, and corresponding alarm operation is carried out. The method comprises the steps that an AI application container forwards a result to a data relay service, the data relay service pushes an inference result to an mqtt browser service in a cloud platform through an mqtt protocol, if real-time data does not need AI inference through TensorFlow, only a rule engine is needed to generate alarm information, and I, the real-time data needs to be forwarded to the rule engine in a bypass data mode to perform data cleaning; and if the alarm information is triggered, the alarm information is also forwarded to a data relay service and further pushed to an mqtt browser service in the cloud platform.
The embodiment provides an edge computing method, which can be used for a cloud platform, such as a computer, a mobile phone, a tablet computer, and the like. Fig. 5 is a flowchart of an edge calculation method according to an embodiment of the present invention, and as shown in fig. 5, the flowchart includes the following steps:
and S41, acquiring each functional module, service and the dependency relationship thereof.
Taking the AI application development as an example, firstly, a developer needs to complete AI application development on a cloud platform and put a relevant container mirror image set into a container mirror image warehouse, apply for a developer account number through the cloud platform and log in the cloud platform, and input mirror image warehouse information relevant to the AI application container mirror image set, so as to match a corresponding application container mirror image. The method for acquiring the dependency relationship among the functional modules, the main core services and the services to be realized may be acquired in an equipment acquisition manner, or may be acquired by an external device.
S42, an installation script is formed based on each function module, service, and their dependency relationship. The process of forming the installation script in detail refers to S11 in the above embodiment shown in fig. 1, and is not described in detail here.
S43, using the installation script and the configuration information, generating initialized installation information, the configuration information for establishing a connection with the corresponding edge computing device. Generating initialization installation information so as to send the initialization installation information to the edge computing equipment and executing an initialization program to establish connection between the cloud platform and the corresponding edge computing equipment. The detailed process is referred to S11 in the above embodiment shown in fig. 1, and is not described herein again.
And S44, issuing the arrangement rule information to the corresponding edge computing equipment according to the connection with the corresponding edge computing equipment, so that the corresponding edge computing equipment constructs an edge computing environment, wherein the arrangement rule information comprises the target function module information. The detailed process is referred to S13 in the above embodiment shown in fig. 1, and is not described herein again.
The edge computing method provided by this embodiment generates the initialized installation information through the cloud platform, establishes connection with the corresponding edge computing device, and issues the arrangement rule information to the corresponding edge computing device, thereby ensuring that the edge computing device constructs an edge computing environment, and performs edge computing processing on data, achieving cloud-edge coordination, and solving the problem that the existing method only applies and arranges through locally preset application and arrangement rules, thereby achieving uniform arrangement of the arrangement rule information by the cloud platform, and ensuring flexibility of edge computing.
The embodiment provides an edge computing method, which can be applied to a cloud platform, as shown in fig. 6, where the process includes the following steps:
and S51, acquiring each functional module, service and the dependency relationship thereof.
Please refer to S41 in fig. 5, which is not repeated herein.
S52, an installation script is formed based on each function module, service, and their dependency relationship.
Specifically, the step S52 includes the following steps:
and S521, creating an application arrangement template by using the mirror image of each application container and the service.
The cloud platform establishes an arrangement template according to the mirror images of the application containers and the services, so that a developer can arrange the application containers based on the arrangement template, and the application development efficiency is improved.
S522, forming an installation script based on the application layout template, the dependency relationship between each application container mirror image and the service and the configuration information. The detailed process is referred to S11 in the above embodiment shown in fig. 1, and is not described herein again.
S53, using the installation script and the configuration information, generating initialized installation information, the configuration information for establishing a connection with the corresponding edge computing device. The detailed process is referred to S12 in the above embodiment shown in fig. 1, and is not described herein again.
And establishing network connection between the target cloud platform and the edge computing equipment through the steps, further realizing data communication and interaction, and issuing an arrangement rule to the edge computing equipment.
Specifically, the step S53 includes the following steps:
(1) and acquiring a TCP connection request initiated by the target edge computing device in the SSH edge proxy service by utilizing the SSH cloud proxy service, wherein the TCP connection request carries the number of the target edge computing device.
The cloud platform firstly obtains a TCP connection request initiated by the target edge computing device, wherein the request can be sent to an SSH cloud proxy service through the SSH edge proxy service, and a long connection is maintained through TCP heartbeat after the TCP connection is established, and the TCP connection request carries the number of the target edge computing device.
(2) And associating the number of the target edge computing device with the TCP connection request through the SSH cloud proxy service so as to remotely access the target edge computing device.
The SSH cloud proxy service of the cloud platform associates the number of the target edge computing device with the TCP connection request, so that the SSH cloud proxy service can directly find the TCP connection through the device number reported on the web operation interface, further, the two-stage SSH proxy is used for completing the remote access of the edge computing device, and the SSH remote operation and maintenance of the edge device are realized based on the two layers of SSH proxies.
And S54, issuing the arrangement rule information to the corresponding edge computing equipment according to the connection with the corresponding edge computing equipment, so that the corresponding edge computing equipment constructs an edge computing environment, wherein the arrangement rule information comprises the target function module information.
Please refer to S44 in fig. 5, which is not repeated herein.
In the edge computing method provided by this embodiment, the cloud platform generates the initialized installation information, establishes connection with the corresponding edge computing device, and sends the arrangement rule information to the corresponding edge computing device, so as to ensure that the edge computing device constructs an edge computing environment and performs edge computing processing on data, thereby realizing cloud-edge coordination, solving the problem that the existing method only performs application arrangement through locally preset application arrangement rules, realizing uniform arrangement of arrangement rule information by the cloud platform, and ensuring flexibility of edge computing; determining an installation script through the dependence relationship between each application container mirror image and the service, and ensuring the normal and stable operation of the edge computing environment of the edge computing equipment; the TCP connection is established between the target edge computing device and the cloud platform, the number of the target edge computing device is associated with the TCP connection request, the remote management of the edge computing device is achieved, and the remote operation and maintenance of the edge computing device are achieved.
In this embodiment, an edge computing method is provided, as shown in fig. 7, data communication and data processing are performed through a target cloud platform and an edge computing device, so as to implement edge computing.
S601, the target cloud platform acquires each functional module, service and the dependency relationship thereof; please refer to S41 in fig. 5, which is not repeated herein.
S602, forming an installation script by the target cloud platform based on each functional module, service and the dependency relationship thereof; please refer to S42 in fig. 5, which is not repeated herein.
And S603, generating initial installation information by the target cloud platform by using the installation script and the configuration information, wherein the configuration information is used for establishing connection with the corresponding edge computing equipment. Please refer to S43 in fig. 5, which is not repeated herein.
S604, the edge computing device obtains initialization installation information, wherein the initialization installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and the dependency relationship of the functional module and the service, and the configuration information is used for establishing connection with a target cloud platform. Please refer to S11 in fig. 1, which is not described herein again.
And S605, the edge computing equipment establishes connection with the target cloud platform by using the initial installation information. Please refer to S12 in fig. 1, which is not described herein again.
And S606, the target cloud platform issues the arrangement rule information to the corresponding edge computing equipment according to the connection with the corresponding edge computing equipment, so that the corresponding edge computing equipment constructs an edge computing environment, and the arrangement rule information comprises target function module information. Please refer to S44 in fig. 5, which is not repeated herein.
S607, the edge computing device receives the arrangement rule information issued by the target cloud platform, wherein the arrangement rule information comprises the information of the target function module. Please refer to S13 in fig. 1, which is not described herein again.
And S608, the edge computing equipment constructs an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data. Please refer to S14 in fig. 1, which is not described herein again.
Taking the above application development and data processing of building site safety monitoring as an example, through the edge computing environment shown in fig. 8, the target cloud platform provides an interface through an Api open platform, and after establishing connection through the coordination cloud component and the coordination edge component, issues a container arrangement rule to a container arrangement engine to implement arrangement, and issues a data processing rule to a rule engine of the edge computing device, so as to clean data (for example, clean data that does not meet the syntax requirement, such as SQL statements, and operations that do not meet the specification); collecting real-time monitoring data of monitoring equipment, such as video monitoring data or image monitoring data of a construction site, by using a data collection container in the container set, and then forwarding the data to a corresponding AI application container to preprocess the data (such as adjusting the size of a picture, pixels and the like); the processed data are forwarded to a TensorFlow container (a symbolic mathematical system based on data flow programming), intelligent analysis is carried out on the data, then an inference result generated by the analysis (for example, field workers do not wear safety helmets) is returned to an AI application container, and corresponding alarm is carried out; and performing addition or deletion management on the edge computing device through the edge management platform.
The AI application container forwards the result to a data relay service, the data relay service pushes the inference result to an mqtt browser service in ZL-CloudPaaS through an mqtt protocol, if the data does not need AI inference through TensorFlow, and only needs a rule engine to generate alarm information, the data relay service needs to forward the alarm information to the rule engine in a bypass data mode for data cleaning, and if the alarm information is triggered, the alarm information is also forwarded to the data relay service and further pushed to the mqtt browser service in the ZL-CloudPaaS. And the remote access of the edge computing equipment is completed through the ssh edge agent and the ssh cloud agent, so that the remote operation and maintenance of the edge computing equipment are realized.
In this embodiment, an edge calculation apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and the description of which has been already made is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
The present embodiment provides an edge calculation apparatus, as shown in fig. 9, including: the system comprises an acquisition module 1, a service module and a service module, wherein the acquisition module is used for acquiring initial installation information, the initial installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and the dependency relationship of the functional module and the service, and the configuration information is used for establishing connection with a target cloud platform; the connection module 2 is used for establishing connection with the target cloud platform by utilizing the initial installation information; the receiving module 3 is used for receiving arrangement rule information issued by the target cloud platform, wherein the arrangement rule information comprises target function module information; and the computing module 4 is used for constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the obtained data.
The present embodiment provides an edge calculation apparatus, as shown in fig. 10, including: the first processing module 01 is used for acquiring each functional module, service and dependency relationship thereof; the second processing module 02 is used for forming an installation script based on each functional module, service and the dependency relationship thereof; the third processing module 03 is configured to generate initial installation information by using the installation script and the configuration information, where the configuration information is used to establish a connection with a corresponding edge computing device; and the fourth processing module 04 is configured to issue the arrangement rule information to the corresponding edge computing device according to the connection with the corresponding edge computing device, so that the corresponding edge computing device constructs an edge computing environment, where the arrangement rule information includes the target function module information.
The edge computing device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and memory that execute one or more software or fixed programs, and/or other devices that may provide the above-described functionality.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
The present embodiment further provides an edge computing system, as shown in fig. 11, including:
at least one edge computing device 010, the edge computing device 010 being configured to perform the edge computing method of the first aspect or any one of the embodiments of the first aspect.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
And the cloud platform 020 is connected with the at least one edge computing device 010, and the cloud platform 020 is used for executing the second aspect or the edge computing method in any one implementation mode of the second aspect.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
An embodiment of the present invention further provides a mobile terminal, which has the edge computing device shown in fig. 12.
Referring to fig. 12, fig. 12 is a schematic structural diagram of a terminal according to an alternative embodiment of the present invention, and as shown in fig. 12, the terminal may include: at least one processor 601, such as a CPU (Central Processing Unit), at least one communication interface 603, memory 604, and at least one communication bus 602. Wherein a communication bus 602 is used to enable the connection communication between these components. The communication interface 603 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 603 may also include a standard wired interface and a standard wireless interface. The Memory 604 may be a high-speed RAM (Random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 604 may optionally be at least one storage device located remotely from the processor 601. Wherein the processor 601 may be in connection with the apparatus described in fig. 9 and 10, the memory 604 stores an application program, and the processor 601 calls the program code stored in the memory 604 for performing any of the above-mentioned method steps.
The communication bus 602 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 602 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 12, but this is not intended to represent only one bus or type of bus.
The memory 604 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated: HDD) or a solid-state drive (english: SSD); the memory 604 may also comprise a combination of the above types of memory.
The processor 601 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 601 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 604 is also used for storing program instructions. Processor 601 may invoke program instructions to implement the method as shown in the embodiments of fig. 1 and 5 of the present application.
Embodiments of the present invention further provide a non-transitory computer storage medium, where a computer-executable instruction is stored in the computer storage medium, and the computer-executable instruction may execute the edge calculation method in any of the above method embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims (12)

1. An edge calculation method, characterized in that the method comprises:
acquiring initial installation information, wherein the initial installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and the dependency relationship of the functional module and the service, and the configuration information is used for establishing connection with a target cloud platform;
establishing connection with the target cloud platform by using the initial installation information;
receiving arrangement rule information issued by the target cloud platform, wherein the arrangement rule information comprises target function module information;
and constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data.
2. The method according to claim 1, wherein the functional module is an application container mirror image, the orchestration rule information further includes a unique identifier of the application container mirror image, and the constructing an edge computing environment according to the orchestration rule information and the installation script to perform edge computing on the obtained data includes:
based on the unique identifier of the target application container mirror image, pulling a corresponding target application container mirror image from the installation script;
and starting the service corresponding to the target application container mirror image to construct the edge computing environment.
3. The method of claim 1, wherein establishing a connection with the target cloud platform using the initial installation information comprises:
pulling the cooperative edge component by using the installation script;
establishing network connection with the target cloud platform based on the cooperative edge component and the configuration information;
extracting identity authentication information in the initialization installation information;
and sending the identity authentication information to the target cloud platform for identity verification so as to establish connection with the target cloud platform.
4. The method according to claim 3, wherein the constructing an edge computing environment according to the orchestration rule information and the installation script to perform edge computation on the obtained data further comprises:
receiving updated arrangement rule information issued by the target cloud platform by using the cooperative edge component;
and updating the edge computing environment based on the updated orchestration rule information.
5. The method according to claim 2, wherein the constructing an edge computing environment according to the orchestration rule information and the installation script to perform edge computation on the obtained data further comprises:
acquiring data to be processed, wherein the data to be processed carries a data processing mode, and the data processing mode comprises the following steps: data reasoning;
when the data processing mode is data reasoning, preprocessing the data to be processed through the application container mirror image to obtain target data meeting the data reasoning requirement;
and carrying out data reasoning on the target data, determining a reasoning result, and returning the reasoning result to the application container mirror image so as to send the reasoning result to the target cloud platform.
6. The method of claim 5, wherein the data processing means further comprises: and analyzing by a rule engine, wherein an edge computing environment is constructed according to the arrangement rule information and the installation script so as to perform edge computing on the obtained data, and the method further comprises the following steps:
when the data processing mode is rule engine analysis, analyzing the data to be processed through a rule engine, and determining a service processing result so that the rule engine sends the service processing result to the target cloud platform.
7. An edge calculation method, characterized in that the method comprises:
acquiring each functional module, service and dependency relationship thereof;
forming an installation script based on each functional module, service and the dependency relationship thereof;
generating initial installation information by using the installation script and configuration information, wherein the configuration information is used for establishing connection with corresponding edge computing equipment;
and issuing the arrangement rule information to the corresponding edge computing equipment according to the connection with the corresponding edge computing equipment so that the corresponding edge computing equipment constructs an edge computing environment, wherein the arrangement rule information comprises the information of the target function module.
8. The edge computing method according to claim 7, wherein the function module is an application container mirror image, and the forming an installation script based on the function modules, the services and the dependencies thereof comprises:
establishing an application arrangement template by using the mirror images of the application containers and the services;
and forming the installation script based on the application editing template, the dependency relationship between each application container mirror image and the service and the configuration information.
9. The method of claim 7, wherein establishing a connection with a corresponding edge computing device comprises:
acquiring a TCP connection request initiated by a target edge computing device in SSH edge proxy service by utilizing SSH cloud proxy service, wherein the TCP connection request carries the number of the target edge computing device;
and associating the number of the target edge computing device with the TCP connection request through SSH cloud proxy service so as to remotely access the target edge computing device.
10. An edge computing device, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring initial installation information, the initial installation information comprises an installation script and configuration information, the installation script is used for representing each functional module, service and the dependency relationship thereof, and the configuration information is used for establishing connection with a target cloud platform;
the connection module is used for establishing connection with the target cloud platform by utilizing the initial installation information;
the receiving module is used for receiving arrangement rule information issued by the target cloud platform, and the arrangement rule information comprises target function module information;
and the computing module is used for constructing an edge computing environment according to the arrangement rule information and the installation script so as to perform edge computing on the acquired data.
11. An edge computing device, comprising:
the first processing module is used for acquiring each functional module, service and the dependency relationship thereof;
the second processing module is used for forming an installation script based on each function module, the service and the dependency relationship thereof;
the third processing module is used for generating initial installation information by utilizing the installation script and configuration information, and the configuration information is used for establishing connection with corresponding edge computing equipment;
and the fourth processing module is used for issuing the arrangement rule information to the corresponding edge computing equipment according to the connection with the corresponding edge computing equipment so as to enable the corresponding edge computing equipment to construct an edge computing environment, wherein the arrangement rule information comprises the target function module information.
12. An edge computing system, comprising:
at least one edge computing device to perform the edge computing method of any of claims 1-6;
a cloud platform connected to the at least one edge computing device, the cloud platform configured to perform the edge computing method of any of claims 7-9.
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