CN118802911A - Edge node collaboration method and device for computing network - Google Patents

Abstract

The present invention provides an edge node collaboration method and device for a computing network, wherein the method includes: receiving tasks to be executed; assigning the tasks to be executed to multiple edge computing nodes of a blockchain network, and executing the tasks based on the multiple edge computing nodes to determine the execution results of multiple nodes; synchronizing the execution results of the multiple nodes between the multiple edge computing nodes, and aggregating the execution results of the multiple nodes based on the master node to obtain the task execution results of the tasks to be executed. The edge node collaboration method and device for a computing network provided by the present invention realizes the edge-edge collaboration capability in a computing network scenario through a decentralized model, avoids the network and performance bottlenecks that may exist in the computing network brain during the cloud-edge collaboration process, and improves the stability and efficiency of computing network services.

Description

Edge node collaboration method and device for computing network

Technical Field

The present invention relates to the field of computer technology, and in particular to an edge node collaboration method and device for a computing network.

Background Art

In the computing network, edge computing nodes are computing resources distributed at the edge of the network, closer to user devices, and can provide low-latency computing and storage services. With the continuous advancement of East-West computing, there is an increasing demand for collaborative task processing and data sharing between edge computing nodes in the computing network.

The existing edge node coordination method of computing power network adopts a centralized mode for the coordination of edge nodes of computing power network. Each task coordination and data sharing needs to go through the computing network brain, involving multiple cloud-edge coordination processes such as computing network brain task distribution, node result feedback, and computing network brain evaluation, which has low execution efficiency.

Summary of the invention

The present invention provides an edge node collaboration method and device for a computing power network, so as to improve the execution efficiency of the edge node collaboration of the computing power network.

The present invention provides an edge node collaboration method for a computing network, comprising:

Receive tasks to be performed;

Allocate the tasks to be executed to multiple edge computing nodes of a blockchain network, execute the tasks based on the multiple edge computing nodes, and determine multiple node execution results, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes;

The execution results of the multiple nodes are synchronized among the multiple edge computing nodes, and based on the master node, the execution results of the multiple nodes are aggregated to obtain the task execution result of the task to be executed, and the master node is determined based on the consensus node among the multiple edge computing nodes.

According to an edge node collaboration method of a computing network provided by the present invention, before allocating the tasks to be executed to multiple edge computing nodes of the blockchain network, the method further includes:

Based on the consensus algorithm in the multiple consensus nodes, communication authentication of the multiple edge computing nodes is performed on the task to be executed and data checking is performed on the task to be executed.

According to an edge node collaboration method of a computing network provided by the present invention, the tasks to be executed are distributed to multiple edge computing nodes of a blockchain network, including:

Splitting the task to be executed to obtain multiple subtasks of the task to be executed;

The multiple subtasks are distributed to multiple edge computing nodes of the blockchain network.

According to an edge node collaboration method of a computing network provided by the present invention, the execution is performed based on the multiple edge computing nodes, and the execution results of the multiple nodes are determined, including:

Based on the consensus algorithm, determine that the data structure detection of the multiple subtasks passes;

Based on the task calculation functions in the multiple edge computing nodes, the multiple subtasks are calculated to determine the execution results of multiple nodes.

According to an edge node collaboration method of a computing network provided by the present invention, synchronizing the execution results of the multiple nodes among the multiple edge computing nodes includes:

The node execution results of each edge computing node are stored on the chain in the collaborative data ledger of the corresponding edge computing node, and based on the collaborative data ledger of each edge computing node, the multiple node execution results are synchronized among the multiple edge computing nodes.

According to the edge node collaboration method of a computing network provided by the present invention, after obtaining the task execution result of the task to be executed, the method further includes:

The task execution result is fed back to the upper-level users of the blockchain network, and the task execution result is stored in a computing power ledger, which is used to save persistent data and record basic configuration information of multiple edge computing nodes in the blockchain network and status information of the multiple edge computing nodes.

The present invention also provides an edge node coordination device of a computing power network, comprising:

A receiving module, used for receiving tasks to be executed;

An execution module, configured to distribute the tasks to be executed to multiple edge computing nodes of a blockchain network, and execute the tasks based on the multiple edge computing nodes to determine the execution results of multiple nodes, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes;

An execution result determination module is used to synchronize the execution results of the multiple nodes among the multiple edge computing nodes, and aggregate the execution results of the multiple nodes based on the master node to obtain the task execution result of the task to be executed. The master node is determined based on the consensus node among the multiple edge computing nodes.

The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, an edge node collaboration method of a computing power network as described above is implemented.

The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the edge node collaboration method of the computing power network as described in any one of the above-mentioned methods is implemented.

The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements the edge node collaboration method of the computing power network as described in any of the above-mentioned methods.

The edge node collaboration method and device of the computing power network provided by the present invention realizes edge-to-edge collaboration and data sharing between edge computing nodes by constructing a distributed decentralized edge-to-edge collaborative blockchain network between edge computing nodes of the computing power network, thereby improving the execution efficiency and stability of edge computing node collaboration. Based on a decentralized model, edge-to-edge collaboration capabilities are realized in computing power network scenarios, avoiding the network and performance bottlenecks that may exist in the computing network brain during cloud-to-edge collaboration, and improving the stability and efficiency of computing power network services.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

FIG1 is a schematic diagram of the cloud-edge collaboration solution architecture provided by the related method;

FIG2 is a schematic diagram of an edge node collaboration process provided by a related method;

FIG3 is a schematic diagram of a flow chart of an edge node collaboration method of a computing network provided by the present invention;

FIG4 is a schematic diagram of a collaborative process provided by the present invention;

FIG5 is a schematic diagram of the collaborative consensus processing flow provided by the present invention;

6 is a schematic diagram of the edge computing node networking authentication execution process provided by the present invention;

FIG7 is a schematic diagram of a synchronization process provided by the present invention;

FIG8 is a schematic diagram of the collaborative execution process of edge computing nodes provided by the present invention;

FIG9 is a schematic diagram of the edge-to-edge collaborative processing flow provided by the present invention;

10 is a schematic diagram of the operating status detection process provided by the present invention;

FIG11 is a schematic diagram of a block comparison process of an edge computing node provided by the present invention;

12 is a schematic diagram of the data synchronization process of the edge computing node provided by the present invention;

13 is a schematic diagram of the structure of an apparatus for applying the edge node coordination method of the computing network provided by the present invention;

14 is a schematic diagram of the edge node collaborative execution process between modules provided by the present invention;

15 is a schematic diagram of a task management process provided by the present invention;

16 is a schematic diagram of a node management process provided by the present invention;

17 is a schematic diagram of the authorization management process provided by the present invention;

FIG18 is a schematic diagram of the structure of an edge node coordination device of a computing network provided by the present invention;

FIG. 19 is a schematic diagram of the structure of an electronic device provided by the present invention.

DETAILED DESCRIPTION

In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

In the computing network, edge computing nodes are computing resources distributed at the edge of the network, closer to user devices, and can provide low-latency computing and storage services. There is an increasing demand for collaborative task processing and data sharing between edge computing nodes in the computing network. The coordination and data sharing mechanism between edge nodes is relatively cumbersome, and the coordination mechanism of edge nodes in existing data centers of the computing network is cloud-edge coordination, that is, centralized.

The cloud-edge collaborative solution architecture of the computing network edge node of the related method is shown in the cloud-edge collaborative solution architecture diagram provided by the related method in Figure 1. The architecture scheme of the related method can be divided into two parts: the computing network brain and the computing power infrastructure. The computing network brain cluster receives the request sent by the wide area network through the core gateway, and forwards the request to the edge gateway on the computing power infrastructure side, which is sent to the edge data center by the edge gateway.

For the architecture in the related methods, the edge node collaboration solution process is shown in the edge node collaboration process diagram provided by the related methods in Figure 2. After the user initiates cloud-edge collaboration, the collaborative task is first submitted to the computing network brain, and the computing network brain adds the task to the queue. When the queue executes this collaborative task, the computing network brain submits the task to the core gateway, and the core gateway distributes the task to the edge gateways of each edge node. After receiving the collaborative task, the edge gateway forwards it to the corresponding edge node. After the edge node task is executed, the result feedback is unified and fed back to the computing network brain, and the computing network brain feeds back to the terminal.

The defects of the cloud-edge collaborative technology solution of computing network edge nodes in related methods include:

The coordination of edge nodes in the computing network in the related methods adopts a centralized model. Each task coordination and data sharing needs to go through the computing network brain, involving multiple cloud-edge coordination processes such as computing network brain task distribution, node result feedback, and computing network brain evaluation, and the execution efficiency is low. In the scenario where the computing network has a complex multi-data center network structure, many edge nodes, and complex business needs, the centralized model is limited by network bottlenecks and the single point risk of the computing network brain, and it is easy to fail and cause task execution failure.

When performing task collaboration and data sharing, the centralized execution mode in the relevant methods leads to the frequent transmission of computing network control instructions and user data among multiple data centers, increasing the risk of attacks on user sensitive data and privacy data. It has low security and cannot meet the requirements for data privacy protection of a trusted and secure computing network.

In view of the defects in the related methods, the present invention provides an edge node collaboration method for a computing network. FIG3 is a flow chart of the edge node collaboration method for a computing network provided by the present invention. Referring to FIG3, the edge node collaboration method for a computing network provided by the present invention may include:

Step 310, receiving a task to be executed;

Step 320, assigning the to-be-executed task to multiple edge computing nodes of a blockchain network, and executing the task based on the multiple edge computing nodes, and determining multiple node execution results, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes;

Step 330, synchronize the execution results of the multiple nodes among the multiple edge computing nodes, and aggregate the execution results of the multiple nodes based on the master node to obtain the task execution result of the task to be executed, and the master node is determined based on the consensus node among the multiple edge computing nodes.

The execution subject of the edge node collaboration method of the computing power network provided by the present invention can be an electronic device, a component in an electronic device, an integrated circuit, or a chip. The electronic device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (Network Attached Storage, NAS) or a personal computer (personal computer, PC), etc., which is not specifically limited by the present invention.

The following takes the edge node collaboration method of the computing network provided by the present invention executed by a computer as an example to explain the technical solution of the present invention in detail.

In step 310, a task to be executed is received.

The tasks to be executed are tasks that require collaborative execution, specifically distributed computing tasks that can be collaboratively processed by multiple edge computing nodes.

In step 320, the tasks to be executed are distributed to multiple edge computing nodes of the blockchain network, and are executed based on the multiple edge computing nodes to determine the execution results of multiple nodes. The blockchain network includes multiple edge computing nodes and multiple consensus nodes.

Before processing the tasks to be executed, a blockchain network needs to be built to realize the processing of the tasks to be executed. The constructed blockchain network includes multiple edge computing nodes and multiple consensus nodes.

The blockchain network built between edge nodes is located on the computing power infrastructure side, and can be composed of N edge nodes and M consensus nodes. Among them, edge computing nodes can include collaborative smart contracts and collaborative data ledgers, responsible for processing upper-layer distributed computing tasks and synchronizing task results to other edge computing nodes. Consensus nodes contain consensus algorithms and are responsible for inter-node communication authentication, data checking, and block calculation.

Edge computing nodes are the key nodes for this proposal to achieve edge-to-edge collaboration, including collaborative smart contracts and collaborative data ledgers. Among them, edge-to-edge collaboration refers to the collaborative process between edge computing nodes and edge computing nodes.

Collaborative smart contract: This contract is a collaborative program written by developers. The collaborative process diagram of the collaborative smart contract is shown in Figure 4. The computing task distributed by the task management is received, and the computing task data structure is first checked for compliance, and then the user-defined task computing function is executed. After the task is executed, it is stored on the chain and the computing results are synchronized to other edge nodes.

Collaborative data ledger: The results of collaborative computing tasks are stored on the chain, relying on blockchain technology to ensure the consistency of ledger data, thereby realizing edge-to-edge collaborative computing capabilities and improving the computing execution efficiency of edge nodes.

Data structure: A custom JSON-formatted computing task data structure, including the target edge node ID, execution action, expected result, source edge node ID, sending timestamp, completion timestamp, etc.

Consensus node: The module in the blockchain network responsible for consensus and block generation. It performs computing node communication authentication and data detection for computing tasks according to the collaborative consensus algorithm.

After receiving the tasks to be executed, the tasks to be executed are distributed to multiple edge computing nodes of the blockchain network, and executed based on multiple edge computing nodes, the execution results of multiple nodes are determined, and the execution results of the nodes are written into the ledger and synchronized to other nodes.

Optionally, the specific collaborative consensus execution process in executing the calculation of the edge computing node may be as shown in the collaborative consensus processing flow diagram provided by the present invention in FIG5 , and may specifically include:

The specific implementation process of edge computing node networking authentication can be shown in the schematic diagram of edge computing node networking authentication execution flow provided by the present invention in FIG6. The monitoring registration center issues key authorization to edge computing nodes that join the blockchain network. The communication between edge computing nodes and consensus nodes and between edge nodes are all based on the key to identify and authenticate the node identity.

Check the computing task data structure, including but not limited to edge node ID, execution action, task number, expected value, sending timestamp, completion timestamp, etc.

Check the endorsement results of the computing task to confirm the status of the edge node, mainly to detect whether the edge node is online and running normally and whether the current node block has been updated to the latest block.

Generate computing task blocks. Any edge computing node in the blockchain network performs task computing and initiates task computing verification. After the edge node verifies, the task computing will be packaged into the block and handed over to the edge node to verify the validity of the block again. The block will be added to the blockchain only after the verification is passed. The block contains relevant task computing information, block hash, previous block hash, task computing timestamp and txid, etc.

Block hash definition: The hash of a block is a fixed-length string calculated by calculation, which is used to uniquely identify a block and ensure the integrity and immutability of the block.

The hash value of a block is obtained by hashing the block header and transaction list. The block header includes the following information:

Version number: indicates the version number of the blockchain protocol;

Previous block hash value: points to the hash value of the previous block, linking the current block with the previous block to form a chain structure;

Merkel root: The root hash of all transactions in a block calculated using the Merkel tree structure;

Timestamp: records the generation time of the block;

Random number (nonce): used to increase the randomness of block hash;

Block hash=Hash(version+previous hash+merkle root+

timestamp+nonce), where "+" represents string concatenation.

The specific synchronization process between nodes is shown in the synchronization process diagram provided by the present invention in Figure 7. The synchronization computing task block data is sent to other edge computing nodes, and the edge computing node sends a task completion broadcast. After receiving the broadcast, other edge computing nodes access and synchronize the data according to the IP and port corresponding to the edge node.

In step 330, the execution results of the multiple nodes are synchronized between the multiple edge computing nodes, and based on the master node, the execution results of the multiple nodes are aggregated to obtain the task execution results of the task to be executed. The master node is determined based on the consensus node among the multiple edge computing nodes.

After executing based on multiple edge computing nodes and determining the execution results of the multiple nodes, the execution results of the multiple nodes are synchronized between the multiple edge computing nodes. The specific synchronization process can be implemented based on the collaborative execution process of the edge computing nodes.

Specifically, the collaborative execution process based on the edge computing nodes is shown in the schematic diagram of the collaborative execution process of the edge computing nodes provided by the present invention in FIG8 :

The upper-layer user or upper-layer application automatically initiates edge-to-edge collaboration. The schematic diagram of the edge-to-edge collaboration process is shown in FIG9 . The computing task is created through the collaborative orchestration center. After receiving the request, the blockchain network first forwards it to the consensus node.

The specific operation status detection process is shown in FIG10 as a schematic diagram of the operation status detection process provided by the present invention, in which the task data structure detection and the computing node status detection are performed through the collaborative consensus algorithm, and the edge node executes the task after the detection passes;

As shown in FIG11 , a block comparison process diagram of edge computing nodes provided by the present invention, edge computing nodes are connected through known node IPs and ports to communicate with each other. Each time an edge node communicates with other nodes, it detects whether the number of its latest block is consistent with the latest block number of other edge nodes. If they are inconsistent, it sends a data synchronization request to other nodes.

As shown in the data synchronization process diagram of the edge computing node provided by the present invention in Figure 12, the edge computing node calls the collaborative smart contract to execute the computing task, records it in the computing power ledger after the calculation is completed, and broadcasts its latest task block to other edge nodes so that other edge nodes can synchronize their latest task block data.

After the synchronization is completed, based on the master node in the blockchain network, the execution results of multiple nodes are aggregated to obtain the task execution results of the tasks to be executed, and the task execution results are fed back to the requester.

The edge node collaboration method of the computing network provided by the embodiment of the present invention realizes edge-to-edge collaboration and data sharing between edge computing nodes by constructing a distributed decentralized edge-to-edge collaborative blockchain network between edge computing nodes of the computing network, thereby improving the execution efficiency and stability of edge computing node collaboration. Based on a decentralized model, the edge-to-edge collaboration capability in the computing network scenario is realized, avoiding the network and performance bottlenecks that may exist in the computing network brain during the cloud-to-edge collaboration process, and improving the stability and efficiency of the computing network service.

In one embodiment, before allocating the tasks to be executed to multiple edge computing nodes of the blockchain network, it also includes: based on the consensus algorithm in the multiple consensus nodes, performing communication authentication of the multiple edge computing nodes for the tasks to be executed and performing data checking on the tasks to be executed.

Before assigning tasks to multiple edge computing nodes in a blockchain network, a consensus algorithm is needed to ensure that each node agrees on the processing of the task. Blockchain networks usually use consensus algorithms to solve data consistency problems in distributed systems, including Proof of Work, Proof of Stake, and other algorithms. These algorithms can ensure that all nodes in the network can reach a consensus on a certain data or event without centralized management.

After the task is assigned to the edge computing node, it is necessary to ensure that only authorized nodes can participate in the processing of the task. This can be achieved through encrypted communication and digital signatures. By establishing an authentication mechanism on the blockchain network, edge computing nodes can verify each other's identity and ensure the security of communication, thereby effectively preventing unauthorized nodes from interfering with the processing of the task.

After the task is assigned to the edge computing node, the data involved in the task needs to be checked to ensure the integrity and accuracy of the data. This includes steps such as hash verification of the data, digital signature verification, and data source credibility assessment to prevent malicious tampering or data forgery.

In one embodiment, the tasks to be executed are distributed to multiple edge computing nodes of the blockchain network, including: splitting the tasks to be executed to obtain multiple subtasks of the tasks to be executed; and distributing the multiple subtasks to multiple edge computing nodes of the blockchain network.

In the task splitting stage, the first thing to do is to reasonably split the task to be executed into multiple independent subtasks. The principles of task splitting include factors such as task parallelism, task complexity, and data dependency. Each subtask should be relatively independent so that it can be processed in parallel, and finally the results of each subtask can be merged to obtain the result of the final task.

After each edge computing node receives the subtask it is responsible for processing, it starts to calculate and process. After the processing is completed, the node submits the processing results to the blockchain network and waits for the processing results of other nodes. Finally, the processing results of each node will be merged or summarized to obtain the final result of the entire task.

The edge node collaboration method of the computing power network provided in the embodiment of the present invention can give full play to the advantages of distributed computing, improve task processing efficiency and system performance, and ensure data security and reliability by splitting the task to be executed into multiple subtasks and assigning these subtasks to multiple edge computing nodes of the blockchain network.

In one embodiment, execution is performed based on the multiple edge computing nodes to determine the execution results of the multiple nodes, including: based on a consensus algorithm, determining that the data structure detection of the multiple subtasks passes; based on the task calculation functions in the multiple edge computing nodes, calculating the multiple subtasks to determine the execution results of the multiple nodes.

After multiple edge computing nodes have completed their respective subtasks, compliance checks need to be performed on the data results of the subtasks to ensure the accuracy and completeness of the results.

After confirming that the subtask data results are compliant, it is necessary to calculate these subtasks based on the task calculation function in the edge node and finally determine the execution results of multiple nodes. This process mainly includes the following steps:

According to the definition and logic of the task calculation function, the corresponding subtask is calculated on each edge computing node to obtain the calculation result.

Combine or summarize the results calculated by each node. The combination method is determined according to the task requirements, which may include summation, averaging, maximum/minimum value and other operations.

Verify the final merged results to ensure their correctness and consistency with expected results.

The edge node collaboration method of the computing network provided by the embodiment of the present invention can effectively determine the execution results of multiple nodes in the process of executing tasks based on multiple edge computing nodes. Such a method can make full use of the advantages of distributed computing, improve task processing efficiency and system reliability, and also help to ensure the accuracy and compliance of data processing.

In one embodiment, synchronizing the multiple node execution results among the multiple edge computing nodes includes: storing the node execution results of each edge computing node on-chain to a collaborative data ledger of the corresponding edge computing node, and synchronizing the multiple node execution results among the multiple edge computing nodes based on the collaborative data ledger of each edge computing node.

After completing the task calculation, each edge computing node will upload its execution results to the corresponding collaborative data ledger through blockchain technology. This process can ensure the immutability and traceability of the execution results.

Each edge computing node maintains its own collaborative data ledger to record its own execution results and related information. These ledgers are usually stored in a decentralized manner to ensure data security and reliability.

Each edge computing node synchronizes the execution results through a collaborative data ledger. Nodes can synchronize ledger information regularly or in real time to obtain the latest execution results and status.

During the ledger synchronization process, data verification and consistency checks are required between nodes to ensure that the data in the ledger is accurate. This can be achieved through a consensus algorithm to achieve data consistency.

In one embodiment, after obtaining the task execution result of the task to be executed, it also includes: feeding back the task execution result to the upper-level user of the blockchain network, and storing the task execution result in a computing power ledger, wherein the computing power ledger is used to save persistent data and record the basic configuration information of multiple edge computing nodes in the blockchain network and the status information of the multiple edge computing nodes.

Through the blockchain network, the task execution results can be transparently and securely fed back to upper-level users. Users can obtain task execution results through smart contracts or transaction records on the blockchain network.

The task execution results and related metadata are stored in the computing power ledger to achieve persistent data preservation. This ensures that the data will not be lost and can be queried and audited at any time.

The power ledger records the basic configuration information of multiple edge computing nodes, including hardware configuration, network settings, software version, etc., to provide support for management and monitoring. The power ledger records the status information of multiple edge computing nodes, including online status, load status, health, etc., so as to monitor and manage the nodes in real time.

The following is a schematic diagram of the structure of an apparatus for applying the edge node coordination method of the computing network provided by the present invention as an example to illustrate the technical solution provided by the present invention:

As shown in FIG13 , the device includes a computing network brain 1310 and a blockchain network 1320. The computing network brain 1310 includes a collaborative orchestration center 1311 and a computing power ledger 1312. The blockchain network 1320 includes an edge computing node 1321 and a consensus node 1322.

The collaborative orchestration center is mainly responsible for node task management, node management, and authorization management, and does not participate in the task coordination process between nodes. Task management is responsible for scheduling the creation of upper-level tasks, task progress tracking, historical task query, task deletion, etc.; computing node management manages the edge nodes of the system; and authorization management is responsible for managing the call authorization between the computing network brain and the computing power infrastructure.

The blockchain network built between edge nodes is located on the computing power infrastructure side and is a service composed of N edge nodes and consensus nodes. The edge nodes include collaborative smart contracts and collaborative data ledgers, which are responsible for processing upper-layer distributed computing tasks and synchronizing task results to other edge nodes; the consensus nodes include consensus algorithms, which are responsible for communication authentication between nodes, data checking, and block calculation.

The relationship between the main modules of the edge node collaboration device involved in the present invention is shown in Figure 14, which is a schematic diagram of the edge node collaborative execution process between the modules provided by the present invention: the edge computing node needs to be registered through the node management. After the registration is completed, the authorization management component will monitor the running status of the edge computing node in real time, and authenticate and authorize the edge computing node after the edge computing node runs successfully. After the node is registered to the blockchain network, the blockchain network is an available edge computing collaborative network. Users can create edge computing collaborative tasks in the task management component and distribute them to the edge computing nodes. The edge computing nodes call the corresponding collaborative contracts to perform tasks. The consensus nodes block the task results based on the execution results and feed back the execution results to the node management component.

The collaborative orchestration center provides a visual web management component to enable upper-level users to perform task management and edge node management on proposals.

Task management: The edge node computing task management module includes functions such as task creation, task progress tracking, historical task query, and task deletion. Users initiate and create edge computing collaborative tasks, which are then distributed to edge computing nodes and read in real time the task execution progress.

The task management process is shown in the task management process diagram provided by the present invention in Figure 15. The user initiates edge computing collaborative tasks and creates tasks through the collaborative orchestration center; the tasks are distributed to the edge computing nodes through the collaborative orchestration center; the task management module monitors the task execution progress of each edge node in real time; the user views the task list through the collaborative orchestration center, which contains all historical task information.

The node management process is shown in the schematic diagram of the node management process provided by the present invention in Figure 16. Users dynamically manage edge nodes through node management and initiate node registration; when a node is registered, it is added to the registration list of the node registration center; if it is successfully added, the corresponding collaborative computing consensus algorithm and collaborative computing smart contract are deployed; after deployment, wait for authentication and authorization to be completed; if authorization is successful, the node successfully joins the blockchain network.

The authorization management process is shown in the authorization management process diagram provided by the present invention in Figure 17. Authorization management includes: ensuring the secure communication between the computing network brain side and the computing power infrastructure side nodes, the module is responsible for monitoring the status of the computing power infrastructure nodes, automatically authorizing the nodes after the nodes are registered and started, and all subsequent requests from the computing power infrastructure side nodes carry private keys and undergo legal authentication to ensure the security of the requests.

FIG18 is a schematic diagram of the structure of an edge node coordination device of a computing network provided by the present invention. As shown in FIG18 , the device includes:

Receiving module 1810, used for receiving tasks to be executed;

An execution module 1820 is used to distribute the to-be-executed tasks to multiple edge computing nodes of a blockchain network, and execute the tasks based on the multiple edge computing nodes to determine multiple node execution results, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes;

The execution result determination module 1830 is used to synchronize the execution results of the multiple nodes among the multiple edge computing nodes, and aggregate the execution results of the multiple nodes based on the master node to obtain the task execution result of the task to be executed. The master node is determined based on the consensus node among the multiple edge computing nodes.

The edge node collaboration device of the computing network provided by the embodiment of the present invention realizes edge-to-edge collaboration and data sharing between edge computing nodes by constructing a distributed decentralized edge-to-edge collaborative blockchain network between edge computing nodes of the computing network, thereby improving the execution efficiency and stability of edge computing node collaboration. Based on a decentralized model, the edge-to-edge collaboration capability in the computing network scenario is realized, avoiding the network and performance bottlenecks that may exist in the computing network brain during the cloud-to-edge collaboration process, and improving the stability and efficiency of the computing network service.

In one embodiment, the execution module 1820 is specifically used to:

Before allocating the tasks to be executed to multiple edge computing nodes of the blockchain network, the method further includes:

Based on the consensus algorithm in the multiple consensus nodes, communication authentication of the multiple edge computing nodes is performed on the task to be executed and data checking is performed on the task to be executed.

In one embodiment, the execution module 1820 is specifically used to:

Distributing the tasks to be executed to multiple edge computing nodes of the blockchain network, including:

Splitting the task to be executed to obtain multiple subtasks of the task to be executed;

The multiple subtasks are distributed to multiple edge computing nodes of the blockchain network.

In one embodiment, the execution module 1820 is specifically used to:

Executing based on the multiple edge computing nodes, determining multiple node execution results, including:

Based on the consensus algorithm, determine that the data structure detection of the multiple subtasks passes;

Based on the task calculation functions in the multiple edge computing nodes, the multiple subtasks are calculated to determine the execution results of multiple nodes.

In one embodiment, the execution module 1820 is specifically used to:

Synchronizing the execution results of the multiple nodes among the multiple edge computing nodes includes:

The node execution results of each edge computing node are stored on the chain in the collaborative data ledger of the corresponding edge computing node, and based on the collaborative data ledger of each edge computing node, the multiple node execution results are synchronized among the multiple edge computing nodes.

In one embodiment, the execution result determination module 1830 is specifically used to:

After obtaining the task execution result of the task to be executed, the method further includes:

The task execution result is fed back to the upper-level users of the blockchain network, and the task execution result is stored in a computing power ledger, which is used to save persistent data and record basic configuration information of multiple edge computing nodes in the blockchain network and status information of the multiple edge computing nodes.

FIG19 illustrates a schematic diagram of the physical structure of an electronic device. As shown in FIG19 , the electronic device may include: a processor 1910, a communications interface 1920, a memory 1930, and a communication bus 1940, wherein the processor 1910, the communications interface 1920, and the memory 1930 communicate with each other through the communication bus 1940. The processor 1910 may call the logic instructions in the memory 1930 to execute the edge node coordination method of the computing power network, and the method includes:

Receive tasks to be performed;

Allocate the tasks to be executed to multiple edge computing nodes of a blockchain network, execute the tasks based on the multiple edge computing nodes, and determine multiple node execution results, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes;

The execution results of the multiple nodes are synchronized among the multiple edge computing nodes, and based on the master node, the execution results of the multiple nodes are aggregated to obtain the task execution result of the task to be executed, and the master node is determined based on the consensus node among the multiple edge computing nodes.

In addition, the logic instructions in the above-mentioned memory 1930 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

On the other hand, the present invention further provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, the computer can execute the edge node coordination method of the computing power network provided by the above methods, the method comprising:

Receive tasks to be performed;

Allocate the tasks to be executed to multiple edge computing nodes of a blockchain network, execute the tasks based on the multiple edge computing nodes, and determine multiple node execution results, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes;

The execution results of the multiple nodes are synchronized among the multiple edge computing nodes, and based on the master node, the execution results of the multiple nodes are aggregated to obtain the task execution result of the task to be executed, and the master node is determined based on the consensus node among the multiple edge computing nodes.

In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the edge node collaboration method of the computing power network provided above, the method comprising:

Receive tasks to be performed;

Allocate the tasks to be executed to multiple edge computing nodes of a blockchain network, execute the tasks based on the multiple edge computing nodes, and determine multiple node execution results, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes;

The execution results of the multiple nodes are synchronized among the multiple edge computing nodes, and based on the master node, the execution results of the multiple nodes are aggregated to obtain the task execution result of the task to be executed, and the master node is determined based on the consensus node among the multiple edge computing nodes.

The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM/RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for coordinating edge nodes of a computing network, characterized in that the method comprises: Receive tasks to be performed; Allocate the tasks to be executed to multiple edge computing nodes of a blockchain network, execute the tasks based on the multiple edge computing nodes, and determine multiple node execution results, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes; The execution results of the multiple nodes are synchronized among the multiple edge computing nodes, and based on the master node, the execution results of the multiple nodes are aggregated to obtain the task execution result of the task to be executed, and the master node is determined based on the consensus node among the multiple edge computing nodes. 2. The edge node coordination method of the computing power network according to claim 1, characterized in that before allocating the tasks to be executed to multiple edge computing nodes of the blockchain network, it also includes: Based on the consensus algorithm in the multiple consensus nodes, communication authentication of the multiple edge computing nodes is performed on the task to be executed and data checking is performed on the task to be executed. 3. The edge node coordination method of the computing power network according to claim 1, characterized in that the step of allocating the tasks to be executed to multiple edge computing nodes of the blockchain network comprises: Splitting the task to be executed to obtain multiple subtasks of the task to be executed; The multiple subtasks are distributed to multiple edge computing nodes of the blockchain network. 4. The edge node collaboration method of a computing power network according to claim 3, characterized in that the step of executing based on the plurality of edge computing nodes and determining the execution results of the plurality of nodes comprises: Based on the consensus algorithm, determine that the data structure detection of the multiple subtasks passes; Based on the task calculation functions in the multiple edge computing nodes, the multiple subtasks are calculated to determine the execution results of multiple nodes. 5. The edge node collaboration method of a computing power network according to claim 4, characterized in that synchronizing the execution results of the multiple nodes among the multiple edge computing nodes comprises: The node execution results of each edge computing node are stored on the chain in the collaborative data ledger of the corresponding edge computing node, and based on the collaborative data ledger of each edge computing node, the multiple node execution results are synchronized among the multiple edge computing nodes. 6. The edge node collaboration method of a computing power network according to claim 1, characterized in that after obtaining the task execution result of the task to be executed, it also includes: The task execution result is fed back to the upper-level users of the blockchain network, and the task execution result is stored in a computing power ledger, which is used to save persistent data and record basic configuration information of multiple edge computing nodes in the blockchain network and status information of the multiple edge computing nodes. 7. An edge node coordination device of a computing network, characterized by comprising: A receiving module, used for receiving tasks to be executed; An execution module, configured to distribute the tasks to be executed to multiple edge computing nodes of a blockchain network, and execute the tasks based on the multiple edge computing nodes to determine the execution results of multiple nodes, wherein the blockchain network includes multiple edge computing nodes and multiple consensus nodes; An execution result determination module is used to synchronize the execution results of the multiple nodes among the multiple edge computing nodes, and aggregate the execution results of the multiple nodes based on the master node to obtain the task execution result of the task to be executed. The master node is determined based on the consensus node among the multiple edge computing nodes. 8. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the edge node collaboration method of the computing power network as claimed in any one of claims 1 to 6 when executing the computer program. 9. A non-transitory computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the edge node collaboration method of the computing power network as described in any one of claims 1 to 6 is implemented. 10. A computer program product, comprising a computer program, characterized in that when the computer program is executed by a processor, the edge node collaboration method of the computing power network as described in any one of claims 1 to 6 is implemented.