An embedded edge collaborative information processing distributed system and method

Abstract

The application discloses an embedded edge-end cooperative information processing distributed system and method, which comprises an embedded edge device, a plurality of embedded end devices and an inter-device network interconnection bus. The embedded edge device is used for realizing unified management of the distributed system by running a cloud platform, including software maintenance and upgrade and device state operation and maintenance. Meanwhile, task unloading and resource scheduling are used for realizing cooperative information processing of the embedded edge device and the plurality of embedded end devices. The plurality of embedded end devices are used for sensing, storing, calculating, processing and transmitting internal and external information of the distributed system, and are data acquisition and decision execution devices at the end of the distributed system. The inter-device network interconnection bus is used for realizing information transmission and interconnection between the embedded edge device and the plurality of embedded end devices, and constructing a star type or a peer-to-peer communication exchange type network topology architecture with the embedded edge device as the center. The cloud platform is a container orchestration system, and each device adopts container-level virtualization to realize unified management of application software and running states of the cloud platform.

Description

Technical Field

[0001] This invention relates to the field of collaborative computing technology, and in particular to an embedded edge-to-edge collaborative information processing distributed system and method. Background Technology

[0002] The current cloud-edge-device collaborative architecture has become the mainstream paradigm for processing distributed information and has demonstrated significant value in terrestrial civilian scenarios such as the Internet of Things (IoT) and smart cities. However, existing research on edge computing and cloud-edge-device collaborative distributed systems primarily focuses on building upon terrestrial IoT scenarios in terms of technical routes and application paradigms. In the entire terrestrial IoT cloud-edge-device system, the control plane alone can achieve mutual collaboration between nodes. The end device nodes are typically positioned as weak terminals with extremely limited resources, mainly responsible for data collection and simple execution, with limited computing and information processing capabilities. Edge nodes, as carriers of computing power, are mainly responsible for data fusion processing, lightweight computing, and connection with the cloud center. The cloud center, as a high-computing cluster, is mainly responsible for global analysis, model training, and long-term strategy planning. Furthermore, the terrestrial system communicates with each other through a standard Ethernet / IP protocol communication architecture.

[0003] However, the distributed cloud-edge-device system of embedded equipment differs significantly from that of terrestrial cloud-edge-device systems. Nodes in this system require deep integration and a dual-collaboration model considering both the control and business planes. The edge device nodes themselves possess local information processing, real-time decision-making, and task execution capabilities, making them powerful terminals. Furthermore, aerospace equipment systems widely employ customized, non-standard communication protocols and interfaces for inter-node communication. Therefore, considering the dual-plane collaboration model, non-standardized communication, and powerful capabilities of embedded edge nodes in aerospace equipment cloud-edge-device systems, they differ fundamentally from standard terrestrial IoT cloud-edge-device systems. These differences make distributed collaborative information processing solutions suitable for terrestrial IoT scenarios unsuitable for near-field collaboration scenarios with an edge-centric "embedded edge-embedded terminal" model. There is an urgent need to design a distributed system and method for embedded edge-device collaborative information processing to fill the technological gap in the aerospace field where edge devices and embedded terminal devices cannot collaborate, and to extend this to embedded edge-device collaboration scenarios in other fields to adapt to the new application requirements of strong real-time linkage, highly autonomous execution, distributed intelligence, and agile response.

[0004] Currently, no descriptions or reports of technologies similar to this invention have been found, and no similar information has been collected domestically or internationally. Summary of the Invention

[0005] To overcome the shortcomings of the existing technology, the present invention provides an embedded edge-end collaborative information processing distributed system and method, which solves the current situation and technical problems of the inability to collaboratively process embedded edge-end information in multi-device distributed scenarios.

[0006] To achieve the aforementioned objectives of the invention, the technical solution adopted to solve its technical problems is as follows:

[0007] This invention discloses an embedded edge-device collaborative information processing distributed system, comprising an embedded edge device, several embedded terminal devices, and an inter-device network interconnection bus, wherein:

[0008] The embedded edge device is used to achieve unified management of the distributed system by running a cloud platform, including software maintenance and upgrades and device status operation and maintenance; at the same time, it enables collaborative information processing between the embedded edge device and several embedded terminal devices through task offloading and resource scheduling.

[0009] Several of the aforementioned embedded terminal devices are used for sensing, storing, computing, processing, and transmitting information within and outside the distributed system, and are data acquisition and decision execution devices at the end of the distributed system;

[0010] The device interconnection bus is used to realize information transmission and interconnection between the embedded edge device and several embedded end devices, thereby constructing a star or peer-to-peer switching network topology architecture centered on the embedded edge device.

[0011] The cloud platform is a container orchestration system, and each device uses container-level virtualization to achieve unified management of its application software and operating status by the cloud platform.

[0012] Furthermore, the embedded edge device includes an edge device computing module, an edge device communication module, an edge device storage module, and a switching network, wherein:

[0013] The edge device computing module is used to realize localized computing processing of distributed system tasks, which is completed by the processor device running application software at a certain operating frequency. When there are multiple edge device computing modules, in order to distinguish the collaborative management relationship, the computing module with overall device management function is defined as the edge device main computing module; when there is only one edge device computing module, it is the default edge device main computing module.

[0014] The edge device communication module is used to transmit information with other devices within the distributed system through the device interconnection bus, or to communicate with devices outside the distributed system based on physical link format and protocol.

[0015] The edge device storage module is used to store data received by the device or data generated by the device itself;

[0016] The switching network is used to interconnect various computing modules within the computing unit of the embedded edge device, forming a fully switched topology through switching chips;

[0017] The distributed system task is an information processing task generated by the device itself or received from other devices by the communication module in the interconnected network composed of edge devices and end devices. The processor device is implemented using a single-chip CPU, a single-chip DSP or a processor core in a SoC integrated circuit. There are one or more processor devices in an edge device computing module, and the processor architecture and instruction set are not limited.

[0018] Furthermore, the edge device computing module employs virtualization and layering technologies to construct its software program, including an operating system, middleware, containers, and an image repository, wherein:

[0019] The middleware includes a container engine and a virtual network driver;

[0020] The containers include cloud platform software containers and application software containers.

[0021] Furthermore, the switching network uses the standard TCP / IP Ethernet protocol to interconnect various computing modules within the computing unit, supporting standard cloud platform management.

[0022] Furthermore, a computing unit is constructed based on multiple edge device main computing modules and edge device slave computing modules through a switching network. The computing unit, communication module, and storage module use physical communication links to realize information data transmission.

[0023] Furthermore, the embedded terminal device includes a terminal device computing module, a terminal device communication module, a terminal device storage module, a sensing module, and an interconnection network, wherein:

[0024] The end-device computing module is used to realize localized computing processing of distributed system tasks, which is completed by the processor device running application software at a certain operating frequency. When there are multiple end-device computing modules, in order to distinguish the collaborative management relationship, the end-device computing module with overall device management function is defined as the end-device main computing module; when there is only one end-device computing module, it is the default end-device main computing module.

[0025] The terminal device communication module is used to transmit information with other devices within the distributed system through the device interconnection bus, or to communicate with devices outside the distributed system based on physical link format and protocol.

[0026] The terminal device storage module is used to store data received by the device or data generated by the device itself;

[0027] The sensing module is used by the embedded terminal device to collect status and acquire information through image and detection methods;

[0028] The interconnection network is used to interconnect various modules within the embedded terminal device, and the interconnection method can be switching or master-slave.

[0029] Furthermore, the terminal device computing module employs virtualization and layering technologies to construct its software program, including an operating system, middleware, containers, and an image repository, wherein:

[0030] The middleware includes a container engine and a virtual network driver;

[0031] The containers include cloud platform software containers, reconfiguration software containers, and application software containers.

[0032] Furthermore, the reconfiguration configuration software container is based on an image repository to enable the reconstruction and upgrade of the application software of the computing module on the peer device, and collects the running status of the computing module container on the peer device and reports it to the cloud platform in a unified manner.

[0033] Furthermore, the interconnection network adopts a wired IP network or any bus communication form, and is not subject to the management restrictions of the cloud platform.

[0034] Furthermore, the main computing module of the terminal device enables centralized management and control of each computing module within the device through the Internet, thereby achieving a unified cloud platform interface for edge devices, while other terminal devices do not have their own computing modules.

[0035] Furthermore, the device-to-device network interconnection bus is based on the device communication module and uses a scenario-customized protocol bus method for interconnection. Each device undergoes local virtual IP conversion to build a virtual network link and achieves communication with the cloud platform application interface.

[0036] The virtual network link is used to convert between the custom protocol bus and the standard TCP / IP network protocol, enabling north-south communication of data within the computing module processor.

[0037] Furthermore, the cloud platform is used to realize the unified management function of the distributed system composed of the main computing modules of each edge device, the slave computing modules of each edge device, and the main computing modules of the end devices.

[0038] Furthermore, the unified management function is used for device container lifecycle management and device operation and maintenance, including cluster management, application orchestration and scheduling, resource configuration and optimization, network policy and security control, storage management, and device monitoring and operation and maintenance.

[0039] This invention also discloses an embedded edge-end collaborative information processing method, which utilizes the aforementioned embedded edge-end collaborative information processing distributed system for information processing, including the following steps:

[0040] Step 1: The edge device pushes the image repository to realize the software reconstruction and upgrade of the computing module in the edge device and the computing module in the terminal device, thereby maintaining the status of each processing application software in the distributed system according to the application scenario requirements;

[0041] Step 2: The cloud platform enables unified management of all computing modules in edge devices and end devices, orchestrates and controls the containers of computing modules in edge devices and the containers of computing modules in end devices, and summarizes and reports the operating status of each container and the telemetry data of the device itself.

[0042] Step 3: The computing module within the terminal device, based on the constraints of computing, communication, and storage resources within the distributed system, adopts heuristic or reinforcement learning methods to make information processing task offloading decisions and network resource scheduling according to the optimization goals of user service guarantee requirements, thereby achieving effective collaboration between edge devices within the distributed system.

[0043] By employing the above technical solutions, this invention has the following advantages and positive effects compared with the prior art:

[0044] This invention discloses an embedded edge-device collaborative information processing distributed system and method, which can be used to achieve unified management of distributed systems at the control plane, including software maintenance and upgrades and device status operation and maintenance; at the same time, it can achieve collaborative information processing between edge devices and embedded devices at the business plane. Attached Figure Description

[0045] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0046] Figure 1 This is a schematic diagram of the composition of an embedded edge-to-edge collaborative information processing distributed system according to the present invention;

[0047] Figure 2 This is a schematic diagram of software layering for an edge-to-edge collaborative information processing method according to the present invention;

[0048] Figure 3 This is a schematic diagram illustrating an application scenario of the edge-to-edge collaborative information processing system and method of the present invention. Detailed Implementation

[0049] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] Example 1

[0051] like Figure 1-3 As shown, this embodiment discloses an embedded edge-device collaborative information processing distributed system, including an embedded edge device, several embedded terminal devices, and an inter-device network interconnection bus, wherein:

[0052] The embedded edge device is used to achieve unified management of the distributed system through a cloud platform, including software maintenance and upgrades, and device status operation and maintenance. Simultaneously, it enables collaborative information processing between the embedded edge device and several embedded terminal devices through task offloading and resource scheduling. The cloud platform is a container orchestration system, and each device uses container-level virtualization to achieve unified management of its application software and operational status by the cloud platform.

[0053] In this embodiment, the cloud platform is used to implement unified management of the distributed system composed of the main computing modules of each edge device, the slave computing modules of each edge device, and the main computing modules of each end device. This unified management function is used for device container lifecycle management and device operation and maintenance, including cluster management, application orchestration and scheduling, resource configuration and optimization, network policy and security control, storage management, device monitoring and operation and maintenance, etc.

[0054] Several of the aforementioned embedded terminal devices are used for sensing, storing, computing, processing, and transmitting information within and outside the distributed system, and are data acquisition and decision execution devices at the end of the distributed system;

[0055] The device interconnection bus is used to realize information transmission and interconnection between the embedded edge device and several embedded end devices, thereby constructing a star or peer-to-peer switching network topology centered on the embedded edge device.

[0056] See Figure 1 The embedded edge device includes an edge device computing module, an edge device communication module, an edge device storage module, and a switching network, wherein:

[0057] The edge device computing module is used to implement localized computing processing of distributed system tasks. It is completed by the processor device running application software at a certain operating frequency, and its computing power is typically characterized by computing resources. When multiple edge device computing modules exist, to distinguish collaborative management relationships, the computing module with overall device management functions needs to be defined as the edge device master computing module; when there is only one edge device computing module, it is the default edge device master computing module. The distributed system tasks are information processing tasks generated by the device itself or received from other devices by the communication module within the interconnected network composed of edge devices and end devices. The processor device is implemented using a single-chip CPU, a single-chip DSP, or a processor core in a SoC integrated circuit. An edge device computing module may contain one or more processor devices, and the processor architecture and instruction set are unrestricted.

[0058] The edge device communication module is used to transmit information with other devices within the distributed system via an inter-device network interconnection bus, or to communicate with devices outside the distributed system based on physical link formats and protocols; the device channel transmission capability is typically characterized by communication resources. These communication resources include: bandwidth, power, capacity, bit error rate, etc., of the communication link.

[0059] The edge device storage module is used to store data received by the device or data generated by the device itself, and its data storage capacity is usually characterized by storage resources.

[0060] The switching network is used to interconnect various computing modules within the embedded edge device computing unit, forming a fully switched topology through switching chips. It can function as an independent module or be integrated into other modules, such as the main computing module, as a functional component. The switching network uses the standard TCP / IP Ethernet protocol to interconnect the various computing modules within the computing unit, supporting cloud platform standard management.

[0061] In this embodiment, a computing unit is constructed based on multiple edge device main computing modules and edge device slave computing modules through a switching network. The computing unit, communication module, and storage module use physical communication links to realize information data transmission.

[0062] See further Figure 1 The embedded terminal device includes a terminal device computing module, a terminal device communication module, a terminal device storage module, a sensing module, and an interconnection network, wherein:

[0063] The edge device computing module is used to implement localized computing processing of distributed system tasks. This is accomplished by the processor device running application software at a certain operating frequency, and its computing power is typically represented by computing resources. When multiple edge device computing modules exist, to distinguish collaborative management relationships, the edge device computing module with overall device management functions needs to be defined as the edge device master computing module. When there is only one edge device computing module, it is the default edge device master computing module. The edge device master computing module achieves centralized management of all computing modules within the device through an interconnected network, thereby realizing a unified cloud platform interface for edge devices. Other edge device slave computing modules are not configured.

[0064] The terminal device communication module is used to transmit information with other devices within the distributed system via an inter-device network interconnection bus, or to communicate with devices outside the distributed system based on physical link formats and protocols; the device channel transmission capability is typically characterized by communication resources. These communication resources include: bandwidth, power, capacity, bit error rate, etc., of the communication link.

[0065] The terminal device storage module is used to store data received by the device or data generated by the device itself, and its data storage capacity is usually characterized by storage resources.

[0066] The sensing module is used by the embedded terminal device to collect status and acquire information through image, detection and other means;

[0067] The interconnection network is used to interconnect various modules within the embedded terminal device, and the interconnection method can be switching or master-slave. The interconnection network adopts a wired IP network or any bus communication form, and is not subject to the management restrictions of the cloud platform.

[0068] See Figure 1 The device-to-device network interconnection bus described herein is based on a scenario-defined protocol bus method for interconnecting device communication modules. Each device undergoes local virtual IP conversion to establish a virtual network link, enabling communication with the cloud platform application interface. This virtual network link is used to convert between the custom protocol bus and the standard TCP / IP network protocol, enabling north-south communication of data within the computing module processor.

[0069] Furthermore, based on the aforementioned distributed system, see... Figure 2 This embodiment also provides a schematic diagram of the software layering of the edge-to-edge collaborative information processing method. The software layering architecture mainly includes:

[0070] (1) Embedded edge device software program: Its computing modules (including main computing modules and slave computing modules) are built using virtualization and layering technologies, including: operating system, middleware, containers, and image repository. Among them, middleware includes: container engine, virtual network driver, and other drivers necessary for the operation of the device; containers include: cloud platform software container and application software container.

[0071] (2) Embedded terminal device software program: The embedded terminal device computing module adopts virtualization and layering technology to build software programs, including: operating system, middleware, containers, and image repository. Among them, the middleware includes: container engine, virtual network driver, and other drivers necessary for the operation of the device; the containers include: cloud platform software container, reconfiguration software container, and application software container.

[0072] In this embodiment, the reconfiguration configuration software container is based on a mirror repository to realize the reconstruction and upgrade of the application software of the computing module on the peer device, and collects the running status of the computing module container on the peer device and reports it to the cloud platform in a unified manner.

[0073] Further, see Figure 2 This embodiment also provides an embedded edge-device collaborative information processing method. This method mainly achieves ① software refactoring and upgrading, ② edge-device cluster management, and ③ collaborative information processing between edge devices and end devices.

[0074] Further, see Figure 3 This embodiment also provides a schematic diagram of an application scenario for an embedded edge-to-edge information processing distributed system and method. In this system, embedded edge devices are mounted on edge nodes as shown in the schematic diagram, and embedded end devices are mounted on end nodes as shown in the schematic diagram. Collaboration between edge nodes and end nodes can include, but is not limited to: collaboration between vehicle edge nodes and vehicle end nodes, collaboration between satellite edge nodes and vehicle end nodes, and collaboration between satellite edge nodes and flying end nodes. Through the proposed edge-to-edge information processing distributed system and method, functions such as ① software refactoring and upgrading, ② edge cluster management, and ③ collaborative information processing between edge nodes can be achieved.

[0075] Example 2

[0076] This embodiment discloses an embedded edge-device collaborative information processing method, which utilizes the aforementioned embedded edge-device collaborative information processing distributed system for information processing, including the following steps:

[0077] Step 1: The edge device pushes the image repository to realize the software reconstruction and upgrade of the computing module in the edge device and the computing module (excluding the slave computing module) in the end device, thereby maintaining the status of each processing application software in the distributed system according to the application scenario requirements;

[0078] Step 2: The cloud platform realizes unified management of all computing modules in edge devices and terminal devices, and orchestrates and controls the containers of computing modules in edge devices and the containers of computing modules in terminal devices. The operating status of each container and the telemetry data of the device itself are summarized and reported.

[0079] Step 3: The computing module within the terminal device, based on the resource constraints of computing, communication, and storage within the distributed system, adopts heuristic or reinforcement learning methods to make information processing task offloading decisions and network resource scheduling according to the optimization goals of user service guarantee requirements, thereby achieving effective collaboration between edge devices within the distributed system.

[0080] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An embedded edge-end collaborative information processing distributed system, characterized in that, This includes embedded edge devices, several embedded terminal devices, and an inter-device network bus, among which: The embedded edge device is used to achieve unified management of the distributed system by running a cloud platform, including software maintenance and upgrades and device status operation and maintenance; at the same time, it enables collaborative information processing between the embedded edge device and several embedded terminal devices through task offloading and resource scheduling. Several of the aforementioned embedded terminal devices are used for sensing, storing, computing, processing, and transmitting information within and outside the distributed system, and are data acquisition and decision execution devices at the end of the distributed system; The device interconnection bus is used to realize information transmission and interconnection between the embedded edge device and several embedded end devices, thereby constructing a star or peer-to-peer switching network topology architecture centered on the embedded edge device. The cloud platform is a container orchestration system, and each device uses container-level virtualization to achieve unified management of its application software and operating status by the cloud platform. The cloud platform is used to realize the unified management function of the distributed system composed of the main computing modules of each edge device, the slave computing modules of each edge device, and the main computing modules of the terminal devices. The main computing module of the terminal device enables centralized management and control of various computing modules within the device through the Internet, thereby achieving a unified cloud platform interface for edge devices. Other terminal devices do not have their own computing modules.

2. The embedded edge-end collaborative information processing distributed system according to claim 1, characterized in that, The embedded edge device includes an edge device computing module, an edge device communication module, an edge device storage module, and a switching network, wherein: The edge device computing module is used to realize localized computing processing of distributed system tasks, which is completed by the processor device running application software at a certain operating frequency. When there are multiple edge device computing modules, in order to distinguish the collaborative management relationship, the computing module with overall device management function is defined as the edge device main computing module; when there is only one edge device computing module, it is the default edge device main computing module. The edge device communication module is used to transmit information with other devices within the distributed system through the device interconnection bus, or to communicate with devices outside the distributed system based on physical link format and protocol. The edge device storage module is used to store data received by the device or data generated by the device itself; The switching network is used to interconnect various computing modules within the computing unit of the embedded edge device, forming a fully switched topology through switching chips; The distributed system task is an information processing task generated by the device itself or received from other devices by the communication module in the interconnected network composed of edge devices and end devices. The processor device is implemented using a single-chip CPU, a single-chip DSP or a processor core in a SoC integrated circuit. There are one or more processor devices in an edge device computing module, and the processor architecture and instruction set are not limited.

3. The embedded edge-end collaborative information processing distributed system according to claim 2, characterized in that, The edge device computing module employs virtualization and layering technologies to construct its software program, including an operating system, middleware, containers, and an image repository, wherein: The middleware includes a container engine and a virtual network driver; The containers include cloud platform software containers and application software containers.

4. The embedded edge-end collaborative information processing distributed system according to claim 2, characterized in that, The switching network uses the standard TCP / IP Ethernet protocol to interconnect various computing modules within the computing unit, and supports standard cloud platform management.

5. The embedded edge-end collaborative information processing distributed system according to claim 2, characterized in that, A computing unit is constructed by connecting multiple edge device master computing modules and edge device slave computing modules through a switching network. The computing unit, communication module, and storage module use physical communication links to achieve information data transmission.

6. The embedded edge-end collaborative information processing distributed system according to claim 2, characterized in that, The embedded terminal device includes a terminal device computing module, a terminal device communication module, a terminal device storage module, a sensing module, and an interconnection network, wherein: The end-device computing module is used to realize localized computing processing of distributed system tasks, which is completed by the processor device running application software at a certain operating frequency. When there are multiple end-device computing modules, in order to distinguish the collaborative management relationship, the end-device computing module with overall device management function is defined as the end-device main computing module; when there is only one end-device computing module, it is the default end-device main computing module. The terminal device communication module is used to transmit information with other devices within the distributed system through the device interconnection bus, or to communicate with devices outside the distributed system based on physical link format and protocol. The terminal device storage module is used to store data received by the device or data generated by the device itself; The sensing module is used by the embedded terminal device to collect status and acquire information through image and detection methods; The interconnection network is used to interconnect various modules within the embedded terminal device, and the interconnection method adopts either switching or master-slave.

7. The embedded edge-end collaborative information processing distributed system according to claim 6, characterized in that, The terminal device computing module employs virtualization and layering technologies to construct its software program, including an operating system, middleware, containers, and an image repository, wherein: The middleware includes a container engine and a virtual network driver; The containers include cloud platform software containers, reconfiguration software containers, and application software containers.

8. The embedded edge-end collaborative information processing distributed system according to claim 7, characterized in that, The reconfiguration configuration software container is based on a mirror repository to enable the reconstruction and upgrade of the application software of the computing module on the peer device, and collects the running status of the computing module container on the peer device and reports it to the cloud platform in a unified manner.

9. The embedded edge-end collaborative information processing distributed system according to claim 6, characterized in that, The interconnected network adopts a wired IP network or any bus communication form, and is not subject to the management restrictions of the cloud platform.

10. The embedded edge-end collaborative information processing distributed system according to claim 1, characterized in that, The device network interconnection bus is based on the device communication module and uses a scenario-customized protocol bus method for interconnection. Each device is converted to a local virtual IP and a virtual network link is built to enable communication with the cloud platform application interface. The virtual network link is used to convert between the custom protocol bus and the standard TCP / IP network protocol, enabling north-south communication of data within the computing module processor.

11. The embedded edge-end collaborative information processing distributed system according to claim 8, characterized in that, The unified management function is used for device container lifecycle management and device operation and maintenance, including cluster management, application orchestration and scheduling, resource configuration and optimization, network policy and security control, storage management, device monitoring and operation and maintenance.

12. An embedded edge-end collaborative information processing method, characterized in that, Information processing using the embedded edge-to-edge collaborative information processing distributed system as described in any one of claims 1-11 includes the following steps: Step 1: The edge device pushes the image repository to realize the software reconstruction and upgrade of the computing module in the edge device and the computing module in the terminal device, thereby maintaining the status of each processing application software in the distributed system according to the application scenario requirements; Step 2: The cloud platform enables unified management of all computing modules in edge devices and end devices, orchestrates and controls the containers of computing modules in edge devices and the containers of computing modules in end devices, and summarizes and reports the operating status of each container and the telemetry data of the device itself. Step 3: The computing module within the terminal device, based on the constraints of computing, communication, and storage resources within the distributed system, adopts heuristic or reinforcement learning methods to make information processing task offloading decisions and network resource scheduling according to the optimization goals of user service guarantee requirements, thereby achieving effective collaboration between edge devices within the distributed system.

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