CN108596627A - A kind of big data computational methods and system calculated based on block chain and mist - Google Patents
A kind of big data computational methods and system calculated based on block chain and mist Download PDFInfo
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Abstract
The present invention provides a kind of big data computational methods based on block chain and mist calculating and system, method to include：Information publisher node issues the intelligent contract for carrying data resource catalogue to block chain network；Data information is distributed to block chain network by back end；Big data calculates demand nodes and generates the big data computational intelligence contract for carrying demand information and storage location according to data information and intelligent contract；Mist computing resource node calculates in network from mist and selects resource node, and corresponding task intelligence contract is issued to block chain network；It verifies node and target data node is triggered according to task intelligence contract, demand information and data information；Target data node sends target resource data to the resource node of selection；Information calculates target resource data to generate result of calculation the resource node of selection according to demand, and stores to storage location.Technical solution through the invention can prevent the resource data of back end from calculating demand nodes by big data and leak.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a big data calculation method and system based on block chain and fog calculation.
Background
In recent years, big data computing brings revolutionary breakthrough in various fields such as science, business and society, and relevant technologies and services of big data are greatly developed.
At present, in a big data computing process, a data node with resource data is generally required to directly provide resource data capable of meeting computing requirements of a big data computing requirement node with big data computing requirements, that is, the data node is required to directly share the resource data with the big data computing requirement node, which may cause the resource data of the data node to leak through the big data computing requirement node.
Disclosure of Invention
The embodiment of the invention provides a big data calculation method and a big data calculation system based on fog calculation and a block chain, which can prevent resource data of data nodes from leaking through big data calculation demand nodes.
In a first aspect, the present invention provides a big data calculation method based on a blockchain and fog calculation, including:
determining a data resource directory through an information issuing node, forming an intelligent contract according to the data resource directory, and issuing the intelligent contract to a block chain network;
issuing data information of resource data owned by the current data node to the block chain network through at least one data node according to the data resource catalog carried by the intelligent contract;
generating a big data calculation intelligent contract and issuing the big data calculation intelligent contract to the block chain network through a big data calculation demand node according to each data information and the data resource catalog carried by the intelligent contract, wherein the big data calculation intelligent contract carries demand information and a storage position;
selecting at least one resource node from a fog computing network through a fog computing resource node, generating a task intelligent contract according to the selected at least one resource node and the demand information carried by the big data computing intelligent contract, and issuing the task intelligent contract to the block chain network;
triggering at least one target data node through a verification node according to the task intelligent contract and each data information;
sending target resource data corresponding to the demand information to the selected at least one resource node under the trigger of the verification node through the at least one target data node;
and calculating each target resource data according to the selected at least one resource node according to the requirement information to generate a calculation result, and storing the generated calculation result to the storage position.
Preferably, the first and second electrodes are formed of a metal,
the requirement information comprises: target data type, target data identification and calculation method.
Preferably, the first and second electrodes are formed of a metal,
the method comprises the following steps of selecting at least one resource node from a fog computing network through the fog computing resource node, generating a task intelligent contract according to the selected at least one resource node and the demand information carried by the big data computing intelligent contract, and issuing the task intelligent contract to the block chain network, and comprises the following steps:
selecting an idle storage node and an idle computing node from the fog computing network through the fog computing resource node;
generating a storage task intelligent contract by the fog computing resource node according to a first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract and the target data identifier;
generating a computing task intelligent contract by the fog computing resource node according to a second node identifier of the idle computing node and the computing method carried by the big data computing intelligent contract;
then the process of the first step is carried out,
the triggering of at least one target data node by the verification node according to the task intelligent contract and each data information comprises the following steps: selecting at least one target data node from the at least one data node through a verification node according to the intelligent contract of the storage task, and triggering the at least one target data node;
the sending, by the at least one target data node, target resource data corresponding to the demand information to the selected at least one resource node under the trigger of the verification node includes: and storing target resource data to the idle storage node according to the target data type and the target data identification carried by the storage task intelligent contract under the trigger of the verification node through the at least one target data node.
Preferably, the first and second electrodes are formed of a metal,
the calculating each target resource data according to the selected at least one resource node according to the demand information to generate a calculation result, and storing the generated calculation result to the storage location, including:
reading each target resource data stored in the idle storage node through the idle computing node, computing each target resource data according to the computing method carried by the intelligent contract of the computing task to generate a computing result, and storing the generated computing result to the storage position.
Preferably, the first and second electrodes are formed of a metal,
the selecting, by the fog computing resource node, a free storage node and a free computing node from the fog computing network further comprises: generating a private key and a public key corresponding to the idle storage node;
then, the generating, by the fog computing resource node, a storage task intelligent contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract, and the target data identifier includes: generating a storage task intelligent contract by the fog computing resource node according to a first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract, the public key and the target data identifier;
the storing target resource data to the idle storage node according to the target data type and the target data identifier carried by the storage task intelligent contract under the trigger of the verification node by the at least one target data node comprises: and determining target resource data according to the target data type and the target data identification carried by the intelligent contract of the storage task under the trigger of the verification node through the at least one target data node, encrypting the target resource data according to the public key carried by the intelligent contract of the storage task to form a ciphertext corresponding to the target resource data, and sending the 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 a blockchain and fog computing, including:
the system comprises an information publishing node, at least one data node, a big data computing demand node, a fog computing resource node, a verification node, a block chain network and a fog computing network comprising at least one resource node; wherein,
the information issuing node is used for determining a data resource directory, forming an intelligent contract according to the data resource directory, and issuing the intelligent contract to a block chain network;
the at least one data node is used for issuing data information of resource data owned by the current data node to the block chain network according to the data resource catalog carried by the intelligent contract; when the node serving as the target data is triggered by the verification node, sending target resource data corresponding to the demand information to the selected at least one resource node;
the big data calculation demand node is used for generating a big data calculation intelligent contract according to the data information and the data resource catalog carried by the intelligent contract and issuing the big data calculation intelligent contract to the block chain network, wherein the big data calculation intelligent contract carries demand information and a storage position;
the fog computing resource node is used for selecting at least one resource node from a fog computing network, generating a task intelligent contract according to the selected at least one resource node and the demand information carried by the big data computing intelligent contract, and issuing the task intelligent contract to the block chain network;
the verification node is used for triggering at least one target data node according to the task intelligent contract and each piece of data information;
and the resource node is used for calculating each target resource data according to the demand information to generate a calculation result after being selected by the fog calculation resource node, and storing the generated calculation result to the storage position.
Preferably, the first and second electrodes are formed of a metal,
the requirement information comprises: target data type, target data identification and calculation method.
Preferably, the first and second electrodes are formed of a metal,
the fog computing resource node is used for selecting an idle storage node and an idle computing node from the fog computing network; generating a storage task intelligent contract according to the target data type and the target data identification carried by the intelligent contract calculated according to the first node identification of the idle storage node and the big data; generating a calculation task intelligent contract according to the second node identification of the idle calculation node and the calculation method carried by the big data calculation intelligent contract;
then the process of the first step is carried out,
the verification node is used for selecting at least one target data node from the at least one data node according to the intelligent contract of the storage task and triggering the at least one target data node;
and the data node is used for storing target resource data to the idle storage node according to the target data type and the target data identifier carried by the intelligent contract of the storage task when the target data node is triggered by the verification node.
Preferably, the first and second electrodes are formed of a metal,
and the resource node is used for reading each target resource data stored in the idle storage node when the fog computing resource node is selected as an idle computing node, computing each target resource data according to the computing method carried by the intelligent contract of the computing task to generate a computing result, and storing the generated computing result to the storage position.
Preferably, the first and second electrodes are formed of a metal,
the fog computing resource node comprising: the system comprises a secret key generation module and a contract processing module; wherein,
the secret key generating module is used for generating a private key and a public key corresponding to the idle storage node;
the contract processing module is used for calculating the target data type carried by the intelligent contract according to the first node identification of the idle storage node, the big data, the public key and the target data identification to generate an intelligent contract of a storage task;
and the data node is used for determining target resource data according to the target data type and the target data identification carried by the intelligent contract of the storage task when the target data node is triggered by the verification node, encrypting the target resource data according to the public key carried by the intelligent contract of the storage task to form a ciphertext corresponding to the target resource data, and sending the ciphertext corresponding to the target resource data to the idle storage node.
The embodiment of the invention provides a big data calculation method based on fog calculation and a block chain, in the method, an information issuing node issues an intelligent contract carrying a data resource catalog to the block chain, each data node can issue data information of the resource data which can be used for big data calculation to the block chain network according to the resource catalog carried by the intelligent contract in the block chain network, a big data calculation demand node can issue a big data calculation intelligent contract carrying demand information and a storage position to the block chain network according to the data resource catalog carried by the intelligent contract and each data information in the block chain network, and subsequently, the fog calculation resource node can select one or more resource nodes from the fog calculation network, generate a task intelligent contract according to each selected resource node and then issue the task intelligent contract to the block chain network, the verification node triggers one or more target data nodes which accord with the demand information according to the task intelligent contract and each data information, each target data node can send target resource data which accord with the demand information to the selected resource node in the fog computing network under the trigger of the verification node, then the selected resource node in the fog computing network computes each target resource data to generate a computation result, and then the computation result is sent to a storage position carried by the big data computing intelligent contract. In summary, when the big data calculation is realized through the technical scheme of the invention, the big data calculation demand node does not need to access the data node, the calculation process of the big data calculation is only carried out on one or more resource nodes in the fog calculation network, the resource data of each data node cannot be directly shared to the big data calculation demand node, and the leakage of the resource data of the data node through the big data calculation demand node can be prevented.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a big data calculation method based on block chain 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 block chain and fog computing according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention, and based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a big data calculation method based on a block chain and fog calculation, including:
step 101, determining a data resource directory through an information issuing node, forming an intelligent contract according to the data resource directory, and issuing the intelligent contract to a block chain network;
102, issuing data information of resource data owned by the current data node to the block chain network through at least one data node according to the data resource catalog carried by the intelligent contract;
103, generating a big data calculation intelligent contract according to each data information and the data resource catalog carried by the intelligent contract through a big data calculation demand node, and issuing the big data calculation intelligent contract to the block chain network, wherein the big data calculation intelligent contract carries demand information and a storage position;
104, selecting at least one resource node from a fog computing network through the fog computing resource node, generating a task intelligent contract according to the selected at least one resource node and the requirement information carried by the big data computing intelligent contract, and issuing the task intelligent contract to the block chain network;
105, triggering at least one target data node through a verification node according to the task intelligent contract and each piece of data information;
step 106, sending target resource data corresponding to the demand information to the selected at least one resource node through the at least one target data node under the trigger of the verification node;
step 107, calculating each target resource data according to the requirement information by the selected at least one resource node to generate a calculation result, and storing the generated calculation result in the storage location.
As shown in fig. 1, in the embodiment, an information publishing node publishes an intelligent contract carrying a data resource catalog to a blockchain, each data node can publish data information of resource data which can be used for big data calculation to the blockchain network according to the resource catalog carried by the intelligent contract in the blockchain network, a big data calculation demand node can publish a big data calculation intelligent contract carrying demand information and a storage location to the blockchain network according to the data resource catalog carried by the intelligent contract and each data information in the blockchain network, subsequently, a fog calculation resource node can select one or more resource nodes from the fog calculation network, generate a task intelligent contract according to each selected resource node and publish the task intelligent contract to the blockchain network, and a verification node triggers one or more target data nodes meeting the demand information according to the task intelligent contract and each data information, each target data node can send target resource data meeting the requirement information to the selected resource nodes in the fog computing network under the trigger of the verification node, then the selected resource nodes in the fog computing network calculate each target resource data to generate a calculation result, and then the calculation result is sent to a storage position carried by the big data computing intelligent contract. In summary, when the big data calculation is realized through the technical scheme of the invention, the big data calculation demand node does not need to access the data node, the calculation process of the big data calculation is only carried out on one or more resource nodes in the fog calculation network, the resource data of each data node cannot be directly shared to the big data calculation demand node, and the leakage of the resource data of the data node through the big data calculation demand node can be prevented.
In the above embodiment, in order to identify the identity of each node, the information publishing node may further identify all participating nodes, including identifying the identities of the data node, the big data computation demand node, the verification node, the fog computation resource node, and the like, form an intelligent identification contract by using the identity of each participating node, and then publish the intelligent identification contract to the blockchain network, so that all participating nodes can learn about the identity of each participating node by looking up the intelligent identification contract.
Specifically, the requirement information includes: target data type, target data identification and calculation method. It should be understood that a requirement information may include a plurality of decomposition tasks, and each decomposition task may correspond to a corresponding target data type, a corresponding target data identifier, and a corresponding calculation method.
In an embodiment of the present invention, the selecting at least one resource node from a fog computing network through a fog computing resource node, generating a task intelligent contract according to the selected at least one resource node and the requirement information carried by the big data computing intelligent contract, and issuing the task intelligent contract to the block chain network includes:
selecting an idle storage node and an idle computing node from the fog computing network through the fog computing resource node;
generating a storage task intelligent contract by the fog computing resource node according to a first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract and the target data identifier;
generating a computing task intelligent contract by the fog computing resource node according to a second node identifier of the idle computing node and the computing method carried by the big data computing intelligent contract;
then the process of the first step is carried out,
the triggering of at least one target data node by the verification node according to the task intelligent contract and each data information comprises the following steps: selecting at least one target data node from the at least one data node through a verification node according to the intelligent contract of the storage task, and triggering the at least one target data node;
the sending, by the at least one target data node, target resource data corresponding to the demand information to the selected at least one resource node under the trigger of the verification node includes: and storing target resource data to the idle storage node according to the target data type and the target data identification carried by the storage task intelligent contract under the trigger of the verification node through the at least one target data node.
In the above embodiment, the fog computing resource node may select a relatively idle storage node and an idle computing node from the fog computing network, generate a storage task intelligent contract according to a first node identifier of the idle storage node, a target data type and a target data identifier carried in the demand information, and generate a computing task intelligent contract according to a second node identifier of the idle computing node and a computing method carried in the demand information; in the subsequent process, the verification node may select at least one target data node from the at least one data node according to the intelligent storage task contract (each target data node should be capable of providing resource data having a target data identifier and a data format of the target data node is a target data type), and trigger each target data node, so that each target data node stores the target resource data to the idle storage node according to the first node identifier carried in the intelligent storage task contract. Therefore, the resource data needed in the big data calculation process can be stored in the relatively idle storage nodes in the fog calculation network, the relatively idle storage nodes in the fog calculation network can more efficiently finish the access of the target resource data, and the big data calculation efficiency is improved.
Correspondingly, in an embodiment of the present invention, the calculating, by the selected at least one resource node, each target resource data according to the requirement information to generate a calculation result, and storing the generated calculation result in the storage location includes: reading each target resource data stored in the idle storage node through the idle computing node, computing each target resource data according to the computing method carried by the intelligent contract of the computing task to generate a computing result, and storing the generated computing result to the storage position.
In the above embodiment, after each target data node stores 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 intelligent contract for the computing task in a summary manner, so that the idle computing node reads each target resource data stored in the idle storage node, calculates each target resource data according to the calculation method carried in the intelligent contract for the computing task to generate a calculation result, and then stores the generated calculation result to the storage location. Therefore, the computing task in the big data computing process can be executed through the idle computing nodes in the fog computing network, the idle computing nodes can more efficiently complete the computing task in the big data computing process, and the big data computing efficiency is improved.
It should be understood that, when the demand information carries a plurality of decomposition tasks, the idle computing node should compute, for each decomposition task, corresponding target resource data according to a computation method corresponding to the decomposition task, the obtained intermediate result may be temporarily stored in the idle storage node, the intermediate result stored in the idle storage node may be continuously used for subsequent decomposition tasks, until each decomposition task is completed, a computation result meeting the big data computation demand may be obtained, and only the obtained computation result may be stored in a storage location carried in the big data computation intelligent contract, so that the big data computation demand node reads the computation result from the storage location.
In an embodiment of the present invention, the selecting, by the cloud computing resource node, an idle storage node and an idle computing node from the cloud computing network further includes: generating a private key and a public key corresponding to the idle storage node;
then, the generating, by the fog computing resource node, a storage task intelligent contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract, and the target data identifier includes: generating a storage task intelligent contract by the fog computing resource node according to a first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract, the public key and the target data identifier;
the storing target resource data to the idle storage node according to the target data type and the target data identifier carried by the storage task intelligent contract under the trigger of the verification node by the at least one target data node comprises: and determining target resource data according to the target data type and the target data identification carried by the intelligent contract of the storage task under the trigger of the verification node through the at least one target data node, encrypting the target resource data according to the public key carried by the intelligent contract of the storage task to form a ciphertext corresponding to the target resource data, and sending the ciphertext corresponding to the target resource data to the idle storage node.
In the above embodiment, when the mist computing resource node selects the corresponding idle storage node from the mist computing network, a private key and a public key corresponding to the idle storage node may be generated, in the subsequent process, each target data node triggered by the verification node may encrypt the target resource data according to the public key carried in the storage task intelligent contract to form a ciphertext corresponding to the target resource data, and after the ciphertext is stored in the idle storage node, the idle storage node may decrypt the corresponding private key to obtain the corresponding target resource data, so that the target resource data may be prevented from being maliciously stolen in the process of being transmitted from the data node to the idle storage node.
In another possible implementation manner, a public key and a private key corresponding to the idle computing node may also be generated, and a method similar to the above embodiment is used to prevent target resource data from being maliciously stolen in a process of transmitting the target resource data from the idle storage node to the idle computing node.
It will be appreciated by those skilled in the art that the intelligent contracts described in the foregoing embodiments are all corresponding computer programs that can be distributed to the blockchain network, and that each participating node connected to the blockchain network can read information carried in the computer programs.
As shown in fig. 2, an embodiment of the present invention provides a big data computing system based on block chain and fog computing, including:
the system comprises 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 block chain network 206 and a fog computing network 207 comprising at least one resource node 2071; wherein,
the information issuing node 201 is configured to determine a data resource directory, form an intelligent contract according to the data resource directory, and issue the intelligent contract to the blockchain network 206;
the at least one data node 202 is configured to issue, according to the data resource directory carried by the intelligent contract, data information of resource data owned by the current data node 202 to the block chain network 206; when triggered by the verification node 205 as a target data node, sending target resource data corresponding to the requirement information to the selected at least one resource node 2071;
the big data computation demand node 203 is configured to generate a big data computation intelligent contract according to each piece of data information and the data resource directory carried by the intelligent contract, and issue the big data computation intelligent contract to the block chain network 206, where the big data computation intelligent contract carries demand information and a storage location;
the fog computing resource node 204 is configured to select at least one resource node 2071 from the fog computing network 207, generate a task intelligent contract according to the selected at least one resource node 2071 and the requirement information carried by the big data computing intelligent contract, and issue the task intelligent contract to the block chain network 206;
the verification node 205 is configured to trigger at least one target data node according to the task intelligent contract and each piece of data information;
the at least one resource node 2071 is configured to calculate each target resource data according to the demand information to generate a calculation result after being selected by the fog calculation resource node 204, and store the generated calculation result in the storage location.
In an embodiment of the present invention, the requirement information includes: target data type, target data identification and calculation method.
In an embodiment of the present invention, the fog computing resource node 204 is configured to select an idle storage node and an idle computing node from the fog computing network 206; generating a storage task intelligent contract according to the target data type and the target data identification carried by the intelligent contract calculated according to the first node identification of the idle storage node and the big data; generating a calculation task intelligent contract according to the second node identification of the idle calculation node and the calculation method carried by the big data calculation intelligent contract;
then the process of the first step is carried out,
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 intelligence contract, and trigger the at least one target data node;
the data node 202 is configured to store, when being triggered by the verification node as a target data node, target resource data to the idle storage node according to the target data type and the target data identifier carried in the storage task intelligent contract.
In an embodiment of the present invention, the resource node 2071 is configured to, when the fog computing resource node 204 selects an idle computing node, read each target resource data stored in the idle storage node, perform computation on each target resource data according to the computation method carried by the intelligent contract for computing tasks to generate a computation result, and store the generated computation result in the storage location.
In an embodiment of the present invention, the fog computing resource node 204 includes: a key generation module (not shown in the drawings) and a contract processing module (not shown in the drawings); wherein,
the secret key generating module is used for generating a private key and a public key corresponding to the idle storage node;
the contract processing module is used for calculating the target data type carried by the intelligent contract according to the first node identification of the idle storage node, the big data, the public key and the target data identification to generate an intelligent contract of a storage task;
the data node 202 is configured to, when being triggered by the verification node 205 as a target data node, determine target resource data according to the target data type and the target data identifier carried in the storage task intelligent contract, encrypt the target resource data according to the public key carried in the storage task intelligent contract to form a ciphertext corresponding to the target resource data, and send the ciphertext corresponding to the target resource data to the idle storage node.
It should be understood that each node in the embodiments of the present invention may specifically be a personal computer or a server.
Because the information interaction, execution process, and other contents between the units in the device are based on the same concept as the method embodiment of the present invention, specific contents may refer to the description in the method embodiment of the present invention, and are not described herein again.
In summary, the embodiments of the present invention have at least the following advantages:
1. in one embodiment of the invention, an intelligent contract carrying a data resource catalog is issued to a block chain through an information issuing node, each data node can issue data information of resource data which can be used for big data calculation to the block chain network according to the resource catalog carried by the intelligent contract in the block chain network, a big data calculation demand node can issue a big data calculation intelligent contract carrying demand information and a storage position to the block chain network according to the data resource catalog carried by the intelligent contract and each data information in the block chain network, subsequently, a fog calculation resource node can select one or more resource nodes from the fog calculation network, generate a task intelligent contract according to each selected resource node and then issue the task intelligent contract to the block chain network, a verification node triggers one or more target data nodes according with the demand information according to the task intelligent contract and each data information, each target data node can send target resource data meeting the requirement information to the selected resource nodes in the fog computing network under the trigger of the verification node, then the selected resource nodes in the fog computing network calculate each target resource data to generate a calculation result, and then the calculation result is sent to a storage position carried by the big data computing intelligent contract. In summary, when the big data calculation is realized through the technical scheme of the invention, the big data calculation demand node does not need to access the data node, the calculation process of the big data calculation is only carried out on one or more resource nodes in the fog calculation network, the resource data of each data node cannot be directly shared to the big data calculation demand node, and the leakage of the resource data of the data node through the big data calculation demand node can be prevented.
2. In one embodiment of the invention, the fog computing resource node can select a relatively idle storage node and an idle computing node from the fog computing network, generate an intelligent contract of a storage task according to a first node identifier of the idle storage node, a target data type and a target data identifier carried in demand information, and generate an intelligent contract of a computing task according to a second node identifier of the idle computing node and a computing method carried in the demand information; in the subsequent process, the verification node may select at least one target data node from the at least one data node according to the intelligent storage task contract (each target data node should be capable of providing resource data having a target data identifier and a data format of the target data node is a target data type), and trigger each target data node, so that each target data node stores the target resource data to the idle storage node according to the first node identifier carried in the intelligent storage task contract. Therefore, the resource data needed in the big data calculation process can be stored in the relatively idle storage nodes in the fog calculation network, the relatively idle storage nodes in the fog calculation network can more efficiently finish the access of the target resource data, and the big data calculation efficiency is improved.
3. In an embodiment of the present invention, after each target data node stores corresponding target resource data to a selected idle storage node, the verification node may trigger the selected idle computing node according to a second node identifier carried in a computation task intelligent contract, so that the idle computing node reads each target resource data stored in the idle storage node, and performs computation on each target resource data according to a computation method carried in the computation task intelligent contract to generate a computation result, and then stores the generated computation result to a storage location. Therefore, the computing task in the big data computing process can be executed through the idle computing nodes in the fog computing network, the idle computing nodes can more efficiently complete the computing task in the big data computing process, and the big data computing efficiency is improved.
4. In an embodiment of the invention, when the fog computing resource node selects a corresponding idle storage node from the fog computing network, a private key and a public key corresponding to the idle storage node can be generated, in the subsequent process, each target data node triggered by the verification node can encrypt target resource data according to the public key carried in the intelligent contract of the storage task to form a ciphertext corresponding to the target resource data, and after the ciphertext is stored in the idle storage node, the idle storage node can decrypt the corresponding target resource data according to the corresponding private key, so that the target resource data can be prevented from being maliciously stolen in the process of being transmitted from the data node to the idle storage node.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a" does not exclude the presence of other similar elements in a process, method, article, or apparatus that comprises the element.
Finally, it is to be noted that: the above description is only a preferred embodiment of the present invention, and is only used to illustrate the technical solutions of the present invention, and not to limit the protection scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. A big data calculation method based on block chain and fog calculation is characterized by comprising the following steps:
determining a data resource directory through an information issuing node, forming an intelligent contract according to the data resource directory, and issuing the intelligent contract to a block chain network;
issuing data information of resource data owned by the current data node to the block chain network through at least one data node according to the data resource catalog carried by the intelligent contract;
generating a big data calculation intelligent contract and issuing the big data calculation intelligent contract to the block chain network through a big data calculation demand node according to each data information and the data resource catalog carried by the intelligent contract, wherein the big data calculation intelligent contract carries demand information and a storage position;
selecting at least one resource node from a fog computing network through a fog computing resource node, generating a task intelligent contract according to the selected at least one resource node and the demand information carried by the big data computing intelligent contract, and issuing the task intelligent contract to the block chain network;
triggering at least one target data node through a verification node according to the task intelligent contract and each data information;
sending target resource data corresponding to the demand information to the selected at least one resource node under the trigger of the verification node through the at least one target data node;
and calculating each target resource data according to the selected at least one resource node according to the requirement information to generate a calculation result, and storing the generated calculation result to the storage position.
2. The method of claim 1,
the requirement information comprises: target data type, target data identification and calculation method.
3. The method of claim 2,
the method comprises the following steps of selecting at least one resource node from a fog computing network through the fog computing resource node, generating a task intelligent contract according to the selected at least one resource node and the demand information carried by the big data computing intelligent contract, and issuing the task intelligent contract to the block chain network, and comprises the following steps:
selecting an idle storage node and an idle computing node from the fog computing network through the fog computing resource node;
generating a storage task intelligent contract by the fog computing resource node according to a first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract and the target data identifier;
generating a computing task intelligent contract by the fog computing resource node according to a second node identifier of the idle computing node and the computing method carried by the big data computing intelligent contract;
then the process of the first step is carried out,
the triggering of at least one target data node by the verification node according to the task intelligent contract and each data information comprises the following steps: selecting at least one target data node from the at least one data node through a verification node according to the intelligent contract of the storage task, and triggering the at least one target data node;
the sending, by the at least one target data node, target resource data corresponding to the demand information to the selected at least one resource node under the trigger of the verification node includes: and storing target resource data to the idle storage node according to the target data type and the target data identification carried by the storage task intelligent contract under the trigger of the verification node through the at least one target data node.
4. The method of claim 3,
the calculating each target resource data according to the selected at least one resource node according to the demand information to generate a calculation result, and storing the generated calculation result to the storage location, including:
reading each target resource data stored in the idle storage node through the idle computing node, computing each target resource data according to the computing method carried by the intelligent contract of the computing task to generate a computing result, and storing the generated computing result to the storage position.
5. The method of claim 3,
the selecting, by the fog computing resource node, a free storage node and a free computing node from the fog computing network further comprises: generating a private key and a public key corresponding to the idle storage node;
then, the generating, by the fog computing resource node, a storage task intelligent contract according to the first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract, and the target data identifier includes: generating a storage task intelligent contract by the fog computing resource node according to a first node identifier of the idle storage node, the target data type carried by the big data computing intelligent contract, the public key and the target data identifier;
the storing target resource data to the idle storage node according to the target data type and the target data identifier carried by the storage task intelligent contract under the trigger of the verification node by the at least one target data node comprises: and determining target resource data according to the target data type and the target data identification carried by the intelligent contract of the storage task under the trigger of the verification node through the at least one target data node, encrypting the target resource data according to the public key carried by the intelligent contract of the storage task to form a ciphertext corresponding to the target resource data, and sending the ciphertext corresponding to the target resource data to the idle storage node.
6. A big data computing system based on blockchain and fog computing, comprising:
the system comprises an information publishing node, at least one data node, a big data computing demand node, a fog computing resource node, a verification node, a block chain network and a fog computing network comprising at least one resource node; wherein,
the information issuing node is used for determining a data resource directory, forming an intelligent contract according to the data resource directory, and issuing the intelligent contract to a block chain network;
the at least one data node is used for issuing data information of resource data owned by the current data node to the block chain network according to the data resource catalog carried by the intelligent contract; when the node serving as the target data is triggered by the verification node, sending target resource data corresponding to the demand information to the selected at least one resource node;
the big data calculation demand node is used for generating a big data calculation intelligent contract according to the data information and the data resource catalog carried by the intelligent contract and issuing the big data calculation intelligent contract to the block chain network, wherein the big data calculation intelligent contract carries demand information and a storage position;
the fog computing resource node is used for selecting at least one resource node from a fog computing network, generating a task intelligent contract according to the selected at least one resource node and the demand information carried by the big data computing intelligent contract, and issuing the task intelligent contract to the block chain network;
the verification node is used for triggering at least one target data node according to the task intelligent contract and each piece of data information;
and the resource node is used for calculating each target resource data according to the demand information to generate a calculation result after being selected by the fog calculation resource node, and storing the generated calculation result to the storage position.
7. The system of claim 6,
the requirement information comprises: target data type, target data identification and calculation method.
8. The system of claim 7,
the fog computing resource node is used for selecting an idle storage node and an idle computing node from the fog computing network; generating a storage task intelligent contract according to the target data type and the target data identification carried by the intelligent contract calculated according to the first node identification of the idle storage node and the big data; generating a calculation task intelligent contract according to the second node identification of the idle calculation node and the calculation method carried by the big data calculation intelligent contract;
then the process of the first step is carried out,
the verification node is used for selecting at least one target data node from the at least one data node according to the intelligent contract of the storage task and triggering the at least one target data node;
and the data node is used for storing target resource data to the idle storage node according to the target data type and the target data identifier carried by the intelligent contract of the storage task when the target data node is triggered by the verification node.
9. The system of claim 8,
and the resource node is used for reading each target resource data stored in the idle storage node when the fog computing resource node is selected as an idle computing node, computing each target resource data according to the computing method carried by the intelligent contract of the computing task to generate a computing result, and storing the generated computing result to the storage position.
10. The system of claim 8,
the fog computing resource node comprising: the system comprises a secret key generation module and a contract processing module; wherein,
the secret key generating module is used for generating a private key and a public key corresponding to the idle storage node;
the contract processing module is used for calculating the target data type carried by the intelligent contract according to the first node identification of the idle storage node, the big data, the public key and the target data identification to generate an intelligent contract of a storage task;
and the data node is used for determining target resource data according to the target data type and the target data identification carried by the intelligent contract of the storage task when the target data node is triggered by the verification node, encrypting the target resource data according to the public key carried by the intelligent contract of the storage task to form a ciphertext corresponding to the target resource data, and sending the ciphertext corresponding to the target resource data to the idle storage node.
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