WO2019196397A1

WO2019196397A1 - Big data computing method and system based on blockchain and fog computing

Info

Publication number: WO2019196397A1
Application number: PCT/CN2018/113896
Authority: WO
Inventors: 孙善宝; 于治楼; 张爱成
Original assignee: 济南浪潮高新科技投资发展有限公司
Priority date: 2018-04-11
Filing date: 2018-11-05
Publication date: 2019-10-17
Also published as: CN108596627A; CN108596627B

Abstract

Provided are a big data computing method and system based on a blockchain and fog computing. The method comprises: an information publication node publishing on a blockchain network a smart contract carrying a data resource directory; a data node publishing data information on the blockchain network; a big data computing requirement node generating, according to the data information and the smart contract, a big data computing smart contract carrying requirement information and a storage location; a fog computing resource node selecting a resource node from a fog computing network and publishing a corresponding smart task contract on the blockchain network; a verification node triggering a target data node according to the smart task contract, the requirement information and the data information; the target data node sending target resource data to the selected resource node; and the selected resource node computing the target resource data according to the requirement information so as to generate a computation result, and storing same at the storage location. By means of the technical solution of the present invention, the leakage of resource data of a data node via a big data computing requirement node can be prevented.

Description

Big data calculation method and system based on blockchain and fog calculation

Technical field

The present invention relates to the field of computer technology, and in particular, to a big data calculation method and system based on blockchain and fog calculation.

Background technique

In recent years, big data computing has brought revolutionary breakthroughs in various fields such as science, business, and society. The related technologies and services of big data have been greatly developed.

At present, in the big data calculation process, a data node having resource data is usually required to directly provide a resource data that can satisfy the calculation requirement of a big data calculation demand node having a large data calculation requirement, that is, the data node needs to calculate a demand node to the big data. Direct sharing of resource data may cause resource data of the data node to leak through the big data computing demand node.

technical problem

Embodiments of the present invention provide a big data calculation method and system based on fog calculation and blockchain, which can prevent resource data of a data node from leaking through a big data calculation demand node.

Technical solution

In a first aspect, the present invention provides a big data calculation method based on blockchain and fog calculation, comprising:

Determining a data resource directory by the information publishing node, forming a smart contract according to the data resource directory, and publishing the smart contract to the blockchain network;

And releasing, by the at least one data node, the data information of the resource data owned by the current data node to the blockchain network according to the data resource directory carried by the smart contract;

Generating a smart data contract by the big data computing demand node according to each of the data information and the data resource directory carried by the smart contract, and publishing the smart contract to the blockchain network, wherein the big data computing smart contract Carrying demand information and storage location;

Selecting at least one resource node from the fog computing network by using the fog computing resource node, generating a task smart contract according to the selected at least one resource node and the big data computing the demand information carried by the smart contract, and generating the task intelligence The contract is posted to the blockchain network;

At least one target data node is triggered by the verification node according to the task smart contract and each of the data information;

Transmitting, by the at least one target data node, target resource data corresponding to the demand information to the selected at least one resource node, triggered by the verification node;

Each of the target resource data is calculated according to the demand information by the selected at least one resource node to generate a calculation result, and the generated calculation result is stored to the storage location.

Preferably,

The demand information includes: a target data type, a target data identifier, and a calculation method.

Preferably,

The at least one resource node is selected from the fog computing network by the fog computing resource node, and the task intelligence contract is generated according to the selected at least one resource node and the demand information carried by the smart data computing smart contract, and the A mission intelligence contract is posted to the blockchain network, including:

Selecting, by the fog computing resource node, a free storage node and an idle computing node from the fog computing network;

Generating, by the fog computing resource node, a storage task smart contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing smart contract, and the target data identifier;

Generating, by the fog computing resource node, a computing task smart contract according to the second node identifier of the idle computing node and the computing method carried by the big data computing smart contract;

then,

And the at least one target data node is triggered by the verification node according to the task smart contract and each of the data information, including: selecting, by the verification node, at least one target data from the at least one data node according to the storage task smart contract a node, and triggering the at least one target data node;

Transmitting, by the at least one target data node, target resource data corresponding to the requirement information to the selected at least one resource node, triggered by the verification node, including: by the at least one target data node The triggering of the verification node stores the target resource data to the idle storage node according to the target data type carried by the storage task smart contract and the target data identifier.

Preferably,

And calculating, by the selected at least one resource node, each of the target resource data according to the requirement information to generate a calculation result, and storing the generated calculation result to the storage location, including:

Reading, by the idle computing node, each of the target resource data stored in the idle storage node, and calculating, according to the calculation method carried in the computing task smart contract, each target resource data to generate a calculation result And storing the generated calculation result to the storage location.

Preferably,

The selecting a free storage node and an idle computing node from the fog computing network by the fog computing resource node further includes: generating a private key and a public key corresponding to the idle storage node;

And generating, by the fog computing resource node, a storage task smart contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing smart contract, and the target data identifier, including Generating, by the fog computing resource node, a storage task smart contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing smart contract, the public key, and the target data identifier ;

Transmitting, by the at least one target data node, the target resource data to the idle storage node according to the target data type and the target data identifier carried by the storage task smart contract, including triggering by the verification node, including Determining target resource data according to the target data type and the target data identifier carried by the storage task smart contract by the at least one target data node under the trigger of the verification node, and according to the storage task smart contract The carried public key encrypts the target resource data to form a ciphertext corresponding to the target resource data, and sends a ciphertext corresponding to the target resource data to the idle storage node.

In a second aspect, an embodiment of the present invention provides a big data computing system based on blockchain and fog calculation, including:

An information publishing node, at least one data node, a big data computing demand node, a fog computing resource node, a verification node, a blockchain network, and a fog computing network including at least one resource node; wherein

The information publishing node is configured to determine a data resource directory, form a smart contract according to the data resource directory, and publish the smart contract to a blockchain network;

And the at least one data node is configured to: publish, according to the data resource directory carried by the smart contract, data information of resource data owned by the current data node to the blockchain network; When the verification node is triggered, the target resource data corresponding to the requirement information is sent to the selected at least one resource node;

The big data computing demand node is configured to generate a big data computing smart contract according to each of the data information and the data resource directory carried by the smart contract, and publish the smart contract to the blockchain network, where the large The data computing smart contract carries the demand information and the storage location;

The fog computing resource node is configured to select at least one resource node from the fog computing network, generate a task smart contract according to the selected at least one resource node and the big data computing the demand information carried by the smart contract, and The task smart contract is issued to the blockchain network;

The verification node is configured to trigger at least one target data node according to the task smart contract and each of the data information;

The at least one resource node, after being selected by the fog computing resource node, calculates each target resource data according to the demand information to generate a calculation result, and stores the generated calculation result to the storage position.

Preferably,

The fog computing resource node is configured to select one idle storage node and one idle computing node from the fog computing network; and calculate, according to the first node identifier of the idle storage node, the big data, the smart contract carrying Generating a storage task smart contract according to the target data type and the target data identifier; generating a computing task smart contract according to the second node identifier of the idle computing node and the computing method carried by the big data computing smart contract;

then,

The verification node is configured to select at least one target data node from the at least one data node according to the storage task smart contract, and trigger the at least one target data node;

The data node is configured to store target resource data to the idle storage node according to the target data type and the target data identifier carried by the storage task smart contract when the target data node is triggered by the verification node.

Preferably,

And the resource node is configured to: when the selected one of the target storage resource data stored in the idle storage node is selected as the idle computing node, and according to the computing task smart contract The calculation method calculates each of the target resource data to generate a calculation result, and stores the generated calculation result to the storage location.

Preferably,

The fog computing resource node includes: a secret key generating module and a contract processing module; wherein

The secret key generating module is configured to generate a private key and a public key corresponding to the idle storage node;

The contract processing module is configured to generate a storage task smart contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing smart contract, the public key, and the target data identifier ;

The data node is configured to determine target resource data according to the target data type and the target data identifier carried by the storage task smart contract when the target data node is triggered by the verification node, and according to the storage task The public key carried by the smart contract encrypts the target resource data to form a ciphertext corresponding to the target resource data, and sends a ciphertext corresponding to the target resource data to the idle storage node.

Beneficial effect

The embodiment of the invention provides a big data calculation method based on fog calculation and blockchain. In this method, a smart contract carrying a data resource directory is issued to a blockchain through an information publishing node, and each data node can be based on a block. The resource catalog carried by the smart contract in the chain network publishes the data information of the resource data that can be used for big data calculation to the blockchain network, and the big data computing demand node can be based on the data resource catalog carried by the smart contract and Each piece of data information in the blockchain network issues a big data computing smart contract carrying the demand information and the storage location to the blockchain network, and subsequent, the fog computing resource node may select one or more resource nodes from the fog computing network. And generating a task smart contract according to each selected resource node, and then publishing to the blockchain network, and the verification node triggers one or more target data nodes that meet the demand information according to the task smart contract and each data information, and each target data node may The selected resource node in the fog computing network is triggered by the verification node. Meet the needs of the target resource information data, and further calculating by the mist of the selected network resource node for each target resource data to produce calculated results, and then send the calculation result is calculated to large data storage location intelligence carried contract. In summary, when the big data calculation is implemented by the technical solution of the present invention, the big data calculation requirement node does not need to access the data node, and the calculation process of the big data calculation is performed only on one or more resource nodes in the fog calculation network, and each data is performed. The resource data of the node is not directly shared to the big data computing demand node, which can prevent the resource data of the data node from leaking through the big data computing demand node.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are Some embodiments of the present invention may also be used to obtain other drawings based on these drawings without departing from the art.

1 is a flowchart of a big data calculation method based on blockchain and fog calculation according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a big data computing system based on blockchain and fog calculation according to an embodiment of the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. It is a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts are protected by the present invention. range.

As shown in FIG. 1 , an embodiment of the present invention provides a big data calculation method based on blockchain and fog calculation, including:

Step 101: Determine a data resource directory by using an information publishing node, form a smart contract according to the data resource directory, and publish the smart contract to a blockchain network;

Step 102: The data information of the resource data owned by the current data node is released to the blockchain network by the at least one data node according to the data resource directory carried by the smart contract.

Step 103: Generate, by the big data computing requirement node, a big data computing smart contract according to each of the data information and the data resource directory carried by the smart contract, and publish the smart contract to the blockchain network, where the big data is Calculate the smart contract carrying demand information and storage location;

Step 104: Select, by the fog computing resource node, at least one resource node from the fog computing network, and generate a task smart contract according to the selected at least one resource node and the big data computing the demand information carried by the smart contract, and The task smart contract is posted to the blockchain network;

Step 105: The at least one target data node is triggered by the verification node according to the task smart contract and each of the data information.

Step 106: Send, by the at least one target data node, target resource data corresponding to the requirement information to the selected at least one resource node, triggered by the verification node;

Step 107: Calculate each target resource data according to the requirement information by the selected at least one resource node to generate a calculation result, and store the generated calculation result to the storage location.

In the embodiment shown in FIG. 1, the smart contract carrying the data resource directory is issued to the blockchain through the information publishing node, and each data node can be used according to the resource directory carried by the smart contract in the blockchain network. The data information of the resource data calculated by the big data is released to the blockchain network, and the big data computing demand node can be released to the blockchain network according to the data resource directory carried by the smart contract and each data information in the blockchain network. The big data computing smart contract carrying the demand information and the storage location, and subsequent, the fog computing resource node may select one or more resource nodes from the fog computing network, and generate a task smart contract according to the selected resource nodes and then publish to the zone. In the blockchain network, the verification node triggers one or more target data nodes that meet the demand information according to the task smart contract and each data information, and each target data node can trigger the selected resource node in the network under the trigger of the verification node. Send target resource data that meets the demand information, and then be The selected resource node calculates each target resource data to generate a calculation result, and then sends the calculation result to the storage location carried by the big data calculation smart contract. In summary, when the big data calculation is implemented by the technical solution of the present invention, the big data calculation requirement node does not need to access the data node, and the calculation process of the big data calculation is performed only on one or more resource nodes in the fog calculation network, and each data is performed. The resource data of the node is not directly shared to the big data computing demand node, which can prevent the resource data of the data node from leaking through the big data computing demand node.

In the above embodiment, in order to identify the identity of each node, the information publishing node may also identify all participating nodes, including identifying the identity of the data node, the big data computing demand node, the verification node, and the fog computing resource node. The identification smart contract is formed by using each participating node identity, and then posted to the blockchain network, so that all participating nodes can understand the identity of each participating node by viewing the identification smart contract.

Specifically, the requirement information includes: a target data type, a target data identifier, and a calculation method. It is not difficult to understand that a requirement information may include multiple decomposition tasks, and each decomposition task may correspond to a corresponding target data type, target data identifier, and calculation method, respectively.

In an embodiment of the present invention, the cloud computing resource node selects at least one resource node from the fog computing network, and generates the task according to the selected at least one resource node and the big data computing the demand information carried by the smart contract. Smart contracting and publishing the task smart contract to the blockchain network, including:

then,

In the foregoing embodiment, the fog computing resource node may select a relatively idle idle storage node and an idle computing node from the fog computing network, according to the first node identifier of the idle storage node, the target data type carried in the demand information, and the target data identifier. Generating a storage task smart contract, and generating a computing task smart contract according to the second node identifier of the idle computing node and the calculation method carried in the demand information; in the subsequent process, the verification node may be from the at least one data node according to the storage task smart contract Selecting at least one target data node (each target data node should be able to provide resource data with a target data identifier and a data format of the target data type), and trigger each target data node, so that each target data node is carried according to the storage task smart contract The first node identifier stores target resource data to the idle storage node. In this way, the resource data that needs to be used in the big data calculation process can be stored in the relatively idle storage node in the fog computing network, and the idle storage node in the fog computing network can more efficiently complete the access of the target resource data. Improve the efficiency of big data calculations.

Correspondingly, in an embodiment of the present invention, the selected at least one resource node calculates each target resource data according to the demand information to generate a calculation result, and stores the generated calculation result into the The storage location includes: reading, by the idle computing node, each of the target resource data stored in the idle storage node, and performing, according to the calculation method carried in the computing task smart contract, each target resource data The calculation is performed to generate a calculation result, and the generated calculation result is stored to the storage location.

In the above embodiment, after the respective target data nodes store the corresponding target resource data to the selected idle storage node, the verification node may trigger the selected idle computing node according to the second node identifier carried in the computing task smart contract summary, so that the idle computing is performed. The node reads each target resource data stored in the idle storage node, and calculates each target resource data according to a calculation method carried in the computing task smart contract to generate a calculation result, and then stores the generated calculation result to the storage location. In this way, the calculation task in the process of performing big data calculation by the relatively idle computing nodes in the fog computing network can be realized, and the idle computing node can more efficiently complete the computing task of the big data computing process and improve the computing efficiency of the big data.

It should be understood that when the requirement information carries multiple decomposition tasks, the idle calculation node should calculate the corresponding target resource data according to the calculation method corresponding to the decomposition task for each decomposition task, and the obtained intermediate result may be obtained. Temporarily stored to the idle storage node, the intermediate result stored to the idle storage node can continue to be used for subsequent decomposition tasks, until after each decomposition task is completed, a calculation result that meets the requirements of big data calculation can be obtained, and only the obtained calculation result can be obtained. It is stored under the storage location carried in the big data computing smart contract, so that the big data computing demand node reads the calculation result from the storage location.

In an embodiment of the present invention, the selecting a free storage node and an idle computing node from the fog computing network by the fog computing resource node further includes: generating a private key and a public key corresponding to the idle storage node;

In the above embodiment, when the fog computing resource node selects the corresponding free storage node from the fog computing network, the private key and the public key corresponding to the idle storage node may be generated, and in the subsequent process, the target data node triggered by each verified node is The target resource data may be encrypted according to the public key carried in the storage task smart contract to form a ciphertext corresponding to the target resource data. After the ciphertext is stored to the idle storage node, the idle storage node may decrypt according to the corresponding private key. The corresponding target resource data is obtained, and thus, the target resource data can be prevented from being maliciously stolen from the data node to the idle storage node.

In another possible implementation manner, the public key and the private key corresponding to the idle computing node may also be generated, and the method for preventing the target resource data from being transmitted from the idle storage node to the idle computing node is prevented by a method similar to the above embodiment. Malicious stealing.

It should be understood by those skilled in the art that the smart contracts described in the foregoing various embodiments are corresponding computer programs, which can be published to a blockchain network, and the participating nodes connected to the blockchain network can be read. Get the information carried in these computer programs.

As shown in FIG. 2, an embodiment of the present invention provides a big data computing system based on blockchain and fog calculation, including:

An information publishing node 201, at least one data node 202, a big data computing demand node 203, a fog computing resource node 204, a verification node 205, a blockchain network 206, and a fog computing network 207 including at least one resource node 2071;

The information publishing node 201 is configured to determine a data resource directory, form a smart contract according to the data resource directory, and publish the smart contract to the blockchain network 206;

The at least one data node 202 is configured to publish, according to the data resource directory carried by the smart contract, data information of resource data currently owned by the data node 202 to the blockchain network 206; When the data node is triggered by the verification node 205, the target resource data corresponding to the demand information is sent to the selected at least one resource node 2071;

The big data calculation requirement node 203 is configured to generate a big data calculation smart contract according to each of the data information and the data resource directory carried by the smart contract, and distribute the smart contract to the blockchain network 206, where The big data computing smart contract carries demand information and storage location;

The fog computing resource node 204 is configured to select at least one resource node 2071 from the fog computing network 207, and generate task intelligence according to the selected at least one resource node 2071 and the big data computing the demand information carried by the smart contract. Contracting, and publishing the task smart contract to the blockchain network 206;

The verification node 205 is configured to trigger at least one target data node according to the task smart contract and each of the data information;

The at least one resource node 2071 is configured to, after being selected by the fog computing resource node 204, calculate each target resource data according to the demand information to generate a calculation result, and store the generated calculation result to the Store the location.

In an embodiment of the present invention, the demand information includes: a target data type, a target data identifier, and a calculation method.

In an embodiment of the present invention, the fog computing resource node 204 is configured to select one idle storage node and one idle computing node from the fog computing network 206; according to the first node identifier according to the idle storage node, Generating a storage task smart contract according to the target data type carried by the big data computing smart contract and the target data identifier; calculating the computing method carried by the smart contract according to the second node identifier of the idle computing node Generate a computing task smart contract;

then,

The verification node 205 is configured to select at least one target data node from the at least one data node 202 according to the storage task smart contract, and trigger the at least one target data node;

The data node 202 is configured to store target resource data to the idle storage node according to the target data type and the target data identifier carried by the storage task smart contract when the target data node is triggered by the verification node. .

In an embodiment of the present invention, the resource node 2071 is configured to read, when the floating computing resource node 204 is selected as an idle computing node, each target resource data stored in the idle storage node, and according to The calculation method carried by the calculation task smart contract calculates each of the target resource data to generate a calculation result, and stores the generated calculation result to the storage location.

In an embodiment of the present invention, the fog computing resource node 204 includes: a secret key generating module (not shown in the drawing) and a contract processing module (not shown in the drawing);

The data node 202 is configured to determine target resource data according to the target data type and the target data identifier carried by the storage task smart contract when the target data node is triggered by the verification node 205, and according to the The public key carried by the storage task smart contract encrypts the target resource data to form a ciphertext corresponding to the target resource data, and sends a ciphertext corresponding to the target resource data to the idle storage node.

It should be understood that each node in various embodiments of the present invention may specifically be a personal computer or a server.

The content of the information exchange, the execution process, and the like in the above-mentioned devices are based on the same concept as the method embodiment of the present invention. For details, refer to the description in the method embodiment of the present invention, and details are not described herein again.

In summary, the various embodiments of the present invention have at least the following beneficial effects:

In an embodiment of the present invention, a smart contract carrying a data resource directory is issued to a blockchain by an information publishing node, and each data node can be used according to a resource directory carried by a smart contract in a blockchain network. The data information of the resource data calculated by the big data is released to the blockchain network, and the big data computing demand node can be released to the blockchain network according to the data resource directory carried by the smart contract and each data information in the blockchain network. The big data computing smart contract carrying the demand information and the storage location, and subsequent, the fog computing resource node may select one or more resource nodes from the fog computing network, and generate a task smart contract according to the selected resource nodes and then publish to the zone. In the blockchain network, the verification node triggers one or more target data nodes that meet the demand information according to the task smart contract and each data information, and each target data node can trigger the selected resource node in the network under the trigger of the verification node. Send target resource data that meets the demand information, and then from the fog computing network The selected resource node calculates each target resource data to generate a calculation result, and then sends the calculation result to the storage location carried by the big data calculation smart contract. In summary, when the big data calculation is implemented by the technical solution of the present invention, the big data calculation requirement node does not need to access the data node, and the calculation process of the big data calculation is performed only on one or more resource nodes in the fog calculation network, and each data is performed. The resource data of the node is not directly shared to the big data computing demand node, which can prevent the resource data of the data node from leaking through the big data computing demand node.

In an embodiment of the present invention, the fog computing resource node may select a relatively idle idle storage node and an idle computing node from the fog computing network, according to the first node identifier of the idle storage node, and the target data type carried in the demand information. And the target data identifier generates a storage task intelligent contract, and generates a computing task smart contract according to the second node identifier of the idle computing node and the calculation method carried in the demand information; in the subsequent process, the verification node may be at least according to the storage task smart contract, from at least Selecting at least one target data node in a data node (each target data node should be able to provide resource data having a target data identifier and a data format of the target data type), and trigger each target data node, so that each target data node is based on the storage task The first node identifier carried in the smart contract stores the target resource data to the idle storage node. In this way, the resource data that needs to be used in the big data calculation process can be stored in the relatively idle storage node in the fog computing network, and the idle storage node in the fog computing network can more efficiently complete the access of the target resource data. Improve the efficiency of big data calculations.

In an embodiment of the present invention, the verification node may trigger the selected idle computing node according to the second node identifier carried in the summary of the computing task smart contract after each target data node stores the corresponding target resource data to the selected idle storage node. So that the idle computing node reads each target resource data stored in the idle storage node, and calculates each target resource data according to a calculation method carried in the computing task smart contract to generate a calculation result, and then stores the generated calculation result to the storage. position. In this way, the calculation task in the process of performing big data calculation by the relatively idle computing nodes in the fog computing network can be realized, and the idle computing node can more efficiently complete the computing task of the big data computing process and improve the computing efficiency of the big data.

In an embodiment of the present invention, when the fog computing resource node selects the corresponding free storage node from the fog computing network, the private key and the public key corresponding to the idle storage node may be generated, and in the subsequent process, each verified node triggers. The target data node may encrypt the target resource data according to the public key carried in the storage task smart contract to form a ciphertext corresponding to the target resource data. After the ciphertext is stored to the idle storage node, the idle storage node may be based on the corresponding private The key is decrypted to obtain corresponding target resource data, and thus, the target resource data can be prevented from being maliciously stolen from the data node to the idle storage node.

It should be noted that, in this context, relational terms such as first and second are used merely to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying between these entities or operations. There are any such actual relationships or sequences. Furthermore, the term "comprises" or "comprises" or "comprises" or any other variations thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device that comprises a plurality of elements includes not only those elements but also Other elements, or elements that are inherent to such a process, method, item, or device. An element defined by the phrase "comprising a singularity", without further limitation, does not exclude the presence of additional equivalents in the process, method, article, or device that comprises the element.

It should be noted that the above description is only a preferred embodiment of the present invention, and is only for explaining the technical solutions of the present invention, and is not intended to limit the scope of the present invention. Any modifications, equivalents, improvements, etc. made within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims

A big data calculation method based on blockchain and fog calculation, which comprises:

Determining a data resource directory by the information publishing node, forming a smart contract according to the data resource directory, and publishing the smart contract to the blockchain network;

And releasing, by the at least one data node, the data information of the resource data owned by the current data node to the blockchain network according to the data resource directory carried by the smart contract;

Generating a smart data contract by the big data computing demand node according to each of the data information and the data resource directory carried by the smart contract, and publishing the smart contract to the blockchain network, wherein the big data computing smart contract Carrying demand information and storage location;

Selecting at least one resource node from the fog computing network by using the fog computing resource node, generating a task smart contract according to the selected at least one resource node and the big data computing the demand information carried by the smart contract, and generating the task intelligence The contract is posted to the blockchain network;

At least one target data node is triggered by the verification node according to the task smart contract and each of the data information;

Transmitting, by the at least one target data node, target resource data corresponding to the demand information to the selected at least one resource node, triggered by the verification node;

Each of the target resource data is calculated according to the demand information by the selected at least one resource node to generate a calculation result, and the generated calculation result is stored to the storage location.
The method of claim 1 wherein

The demand information includes: a target data type, a target data identifier, and a calculation method.
The method of claim 2 wherein:

The at least one resource node is selected from the fog computing network by the fog computing resource node, and the task intelligence contract is generated according to the selected at least one resource node and the demand information carried by the smart data computing smart contract, and the A mission intelligence contract is posted to the blockchain network, including:

Selecting, by the fog computing resource node, a free storage node and an idle computing node from the fog computing network;

Generating, by the fog computing resource node, a storage task smart contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing smart contract, and the target data identifier;

Generating, by the fog computing resource node, a computing task smart contract according to the second node identifier of the idle computing node and the computing method carried by the big data computing smart contract;

then,

And the at least one target data node is triggered by the verification node according to the task smart contract and each of the data information, including: selecting, by the verification node, at least one target data from the at least one data node according to the storage task smart contract a node, and triggering the at least one target data node;

Transmitting, by the at least one target data node, target resource data corresponding to the requirement information to the selected at least one resource node, triggered by the verification node, including: by the at least one target data node The triggering of the verification node stores the target resource data to the idle storage node according to the target data type carried by the storage task smart contract and the target data identifier.
The method of claim 3 wherein:

And calculating, by the selected at least one resource node, each of the target resource data according to the requirement information to generate a calculation result, and storing the generated calculation result to the storage location, including:

Reading, by the idle computing node, each of the target resource data stored in the idle storage node, and calculating, according to the calculation method carried in the computing task smart contract, each target resource data to generate a calculation result And storing the generated calculation result to the storage location.
The method of claim 3 wherein:

The selecting a free storage node and an idle computing node from the fog computing network by the fog computing resource node further includes: generating a private key and a public key corresponding to the idle storage node;

And generating, by the fog computing resource node, a storage task smart contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing smart contract, and the target data identifier, including Generating, by the fog computing resource node, a storage task smart contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing smart contract, the public key, and the target data identifier ;

Transmitting, by the at least one target data node, the target resource data to the idle storage node according to the target data type and the target data identifier carried by the storage task smart contract, including triggering by the verification node, including Determining target resource data according to the target data type and the target data identifier carried by the storage task smart contract by the at least one target data node under the trigger of the verification node, and according to the storage task smart contract The carried public key encrypts the target resource data to form a ciphertext corresponding to the target resource data, and sends a ciphertext corresponding to the target resource data to the idle storage node.
A big data computing system based on blockchain and fog calculation, comprising:

An information publishing node, at least one data node, a big data computing demand node, a fog computing resource node, a verification node, a blockchain network, and a fog computing network including at least one resource node; wherein

The information publishing node is configured to determine a data resource directory, form a smart contract according to the data resource directory, and publish the smart contract to a blockchain network;

And the at least one data node is configured to: publish, according to the data resource directory carried by the smart contract, data information of resource data owned by the current data node to the blockchain network; When the verification node is triggered, the target resource data corresponding to the requirement information is sent to the selected at least one resource node;

The big data computing demand node is configured to generate a big data computing smart contract according to each of the data information and the data resource directory carried by the smart contract, and publish the smart contract to the blockchain network, where the large The data computing smart contract carries the demand information and the storage location;

The fog computing resource node is configured to select at least one resource node from the fog computing network, generate a task smart contract according to the selected at least one resource node and the big data computing the demand information carried by the smart contract, and The task smart contract is issued to the blockchain network;

The verification node is configured to trigger at least one target data node according to the task smart contract and each of the data information;

The at least one resource node, after being selected by the fog computing resource node, calculates each target resource data according to the demand information to generate a calculation result, and stores the generated calculation result to the storage position.
The system of claim 6 wherein:

The demand information includes: a target data type, a target data identifier, and a calculation method.
The system of claim 7 wherein:

The fog computing resource node is configured to select one idle storage node and one idle computing node from the fog computing network; and calculate, according to the first node identifier of the idle storage node, the big data, the smart contract carrying Generating a storage task smart contract according to the target data type and the target data identifier; generating a computing task smart contract according to the second node identifier of the idle computing node and the computing method carried by the big data computing smart contract;

then,

The verification node is configured to select at least one target data node from the at least one data node according to the storage task smart contract, and trigger the at least one target data node;

The data node is configured to store target resource data to the idle storage node according to the target data type and the target data identifier carried by the storage task smart contract when the target data node is triggered by the verification node.
The system of claim 8 wherein:

And the resource node is configured to: when the selected one of the target storage resource data stored in the idle storage node is selected as the idle computing node, and according to the computing task smart contract The calculation method calculates each of the target resource data to generate a calculation result, and stores the generated calculation result to the storage location.
The system of claim 8 wherein:

The fog computing resource node includes: a secret key generating module and a contract processing module; wherein

The secret key generating module is configured to generate a private key and a public key corresponding to the idle storage node;

The contract processing module is configured to generate a storage task smart contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing smart contract, the public key, and the target data identifier ;

The data node is configured to determine target resource data according to the target data type and the target data identifier carried by the storage task smart contract when the target data node is triggered by the verification node, and according to the storage task The public key carried by the smart contract encrypts the target resource data to form a ciphertext corresponding to the target resource data, and sends a ciphertext corresponding to the target resource data to the idle storage node.