CN109803004B - Block chain intelligent contract management method and device, electronic equipment and storage medium - Google Patents
Block chain intelligent contract management method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The disclosure belongs to the technical field of block chains and intelligent contracts, and relates to a block chain intelligent contract management method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: receiving an intelligent contract booking request and acquiring a service type corresponding to an intelligent contract; establishing a computing resource configuration condition according to the service type, and acquiring computing resource configuration information corresponding to the computing resource configuration condition in the current block chain node; judging whether the computing resource configuration information meets the computing resource configuration condition; if the calculation resource allocation condition is met, making and storing an intelligent contract at the current block link point; and if the computing resource configuration condition is not met, sending an intelligent contract booking request to the big data processing system, and booking and storing the intelligent contract by the big data processing system. The method and the device can measure the computing capacity of the block chain nodes, and the classified processing mode is favorable for integrating computing resources and improving the service processing speed and efficiency of the block chain.
Description
Technical Field
The present disclosure relates to the field of block chain and intelligent contract technologies, and in particular, to a block chain intelligent contract management method, a block chain intelligent contract management apparatus, an electronic device, and a computer-readable storage medium.
Background
The block chain is an internet database technology, and essentially, a plurality of block chain nodes participate together, and a distributed account book technology with data non-falsification and open and reliable results is realized through a multi-party storage and calculation mode. The development of the blockchain enables the intelligent contract, and the essence of the intelligent contract is that a piece of computer code with the right and obligation of an intelligent terminal device according to the signed contract is issued to the blockchain, and the intelligent contract is automatically executed on the blockchain without the participation of an intermediary, so that the execution efficiency of the intelligent contract is improved, and the irrevocable contract clause is ensured.
For most simple business processes, intelligent contracts on block link points can be responded to quickly. The processing power of a single node of the blockchain determines that the intelligent contract cannot be too complex. When the business logic is too complex, it will cause the intelligent contracts to run longer, which in turn will cause the blockchain response time to be longer, becoming less and less advantageous compared to centralized systems. Moreover, with the continuous increase of the account book data, the demand of carrying out statistical analysis or big data processing on the account book data by intelligent contracts also exists, which puts higher requirements on the processing capacity of the blockchain nodes.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure is directed to a method and an apparatus for managing a blockchain intelligent contract, an electronic device, and a computer-readable storage medium, which overcome, at least to some extent, the problems of long response time and large data processing requirement due to the limitations of the related art.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to one aspect of the present disclosure, there is provided a blockchain intelligent contract management method, the method comprising: receiving an intelligent contract booking request, and acquiring a service type corresponding to an intelligent contract in the intelligent contract booking request; establishing a computing resource configuration condition according to the service type, and acquiring computing resource configuration information corresponding to the computing resource configuration condition in a current block chain node; judging whether the computing resource configuration information meets the computing resource configuration condition; if the computing resource configuration information meets the computing resource configuration condition, the intelligent contract is established and stored in the current block chain node; and if the computing resource configuration information does not meet the computing resource configuration condition, sending the intelligent contract booking request to a big data processing system, and booking and storing the intelligent contract by the big data processing system.
In an exemplary embodiment of the disclosure, the establishing a computing resource configuration condition according to the service type includes: presetting one or more computing resource configuration parameters; and selecting at least one computing resource configuration parameter according to the service type, and establishing the computing resource configuration condition for the selected computing resource configuration parameter.
In an exemplary embodiment of the present disclosure, the computing resource configuration parameters include numerical parameters and/or non-numerical parameters; the numerical parameters comprise a central processing unit main frequency, memory capacity, hard disk capacity and/or network bandwidth; the non-numerical parameters comprise a central processing unit type, a memory type and/or a hard disk type.
In an exemplary embodiment of the disclosure, the block chain intelligent contract management method further includes receiving an intelligent contract calling request, and determining whether the intelligent contract to be called is stored on a current block chain node or a big data processing system according to the intelligent contract calling request; if the intelligent contract to be called is judged to be stored on the current block chain node, executing the intelligent contract by the current block chain node, and returning the execution result of the intelligent contract to the sender of the intelligent contract calling request; and if the intelligent contract to be called is judged to be saved on the big data processing system, the big data processing system executes the intelligent contract, and an execution result of the intelligent contract is returned to a sender of the intelligent contract calling request through the current block chain link point.
In an exemplary embodiment of the present disclosure, the receiving an intelligent contract invocation request includes: obtaining a plurality of computing resource utilization rates of the current blockchain node; calculating the utilization rate of the computing resources, and obtaining a calculation result as a computing resource score; and if the computing resource score of the current blockchain node is smaller than a preset threshold value, transmitting the received intelligent contract calling request to the next blockchain node.
In an exemplary embodiment of the disclosure, the block chain intelligent contract management method further includes: and if the computing resource score of the current block link node is smaller than the preset threshold value, sending early warning information.
In an exemplary embodiment of the present disclosure, the returning the execution result of the intelligent contract to the sender of the intelligent contract invoking request through the current block link point includes: saving the execution result of the intelligent contract on the current blockchain node; and returning the execution result of the intelligent contract saved on the current block chain node to a sender of the intelligent contract calling request.
According to one aspect of the present disclosure, there is provided a blockchain intelligent contract management apparatus, the apparatus comprising: the intelligent contract setting system comprises a request receiving module, a contract setting module and a contract setting module, wherein the request receiving module is configured to receive an intelligent contract setting request and acquire a service type in the intelligent contract setting request; the condition establishing module is configured to establish a computing resource configuration condition according to the service type; the information judgment module is configured to acquire computing resource configuration information corresponding to the computing resource configuration condition in a current block link node and judge whether the computing resource configuration information meets the corresponding computing resource configuration condition; a first establishing module configured to establish and store an intelligent contract at the current block chain node if the computing resource configuration information of the current block chain node satisfies the corresponding computing resource configuration condition; and the second establishing module is configured to send the intelligent contract establishing request to the big data processing system if the computing resource configuration information of the current block link node does not meet the corresponding computing resource configuration condition, and establish and store the intelligent contract by the big data processing system.
According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the blockchain intelligent contract management method in any of the above-described exemplary embodiments.
According to an aspect of the present disclosure, there is provided an electronic device including: a processor and a memory; wherein the memory has stored thereon computer readable instructions, which when executed by the processor, implement the blockchain intelligent contract management method of any of the above exemplary embodiments.
Exemplary embodiments of the present disclosure have the following advantageous effects:
in the method and apparatus provided in the exemplary embodiment of the present disclosure, a corresponding computing resource allocation condition is established according to a service type, where the condition is used to measure the computing capability of a block chain node, and if the computing capability of the block chain node meets the condition, the block chain node can directly make an intelligent contract and manage the intelligent contract; if the computing power of the block chain node does not meet the condition, the intelligent contract can be established and managed by the big data processing system. The classification processing mode is beneficial to integrating the computing resources and improving the service processing speed and efficiency of the block chain.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 schematically illustrates a flow chart of a method for blockchain intelligent contract management in an exemplary embodiment of the present disclosure;
FIG. 2 is a flow chart that schematically illustrates portions of the steps of a method for blockchain intelligent contract management in an embodiment of the present disclosure;
FIG. 3 is a flow chart that schematically illustrates portions of the steps of a method for blockchain intelligent contract management in an embodiment of the present disclosure;
FIG. 4 is a flow chart that schematically illustrates portions of the steps of a method for blockchain intelligent contract management in an embodiment of the present disclosure;
FIG. 5 is a flow chart that schematically illustrates portions of the steps of a method for blockchain intelligent contract management in an embodiment of the present disclosure;
fig. 6 is a schematic diagram illustrating a structure of a blockchain intelligent contract management apparatus according to an exemplary embodiment of the disclosure;
FIG. 7 schematically illustrates an electronic device for a blockchain intelligent contract management method in an exemplary embodiment of the present disclosure;
FIG. 8 schematically illustrates a computer-readable storage medium for a blockchain intelligent contract management method in an exemplary embodiment of the disclosure.
Detailed Description
Exemplary embodiments will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
In the present disclosure, the terms "include", "arrange", "disposed" and "disposed" are used to mean open-ended inclusion, and mean that there may be additional elements/components/etc. in addition to the listed elements/components/etc.; the terms "first," "second," and the like are used merely as labels, and are not limiting as to the number or order of their objects.
In an exemplary embodiment of the present disclosure, a method for managing a blockchain intelligent contract is first provided, which is applied to an intelligent terminal device having a certain storage space, a connectable network, and participating blockchains. Specifically, the intelligent terminal device can be various electronic terminal devices such as a mobile phone, a tablet computer, a notebook computer, a PDA, an ore machine and the like, which have certain storage space, can be connected with a network and participate in a block chain.
Referring to fig. 1, the method for managing intelligent contracts of block chains mainly comprises the following steps:
and S101, receiving an intelligent contract booking request, and acquiring a service type corresponding to the intelligent contract in the intelligent contract booking request.
When an intelligent contract is required to be established, an intelligent contract establishment request can be sent, and the request can contain one or more service types associated with the intelligent contract. And determining the service type is to determine the service of the service data after the service data is obtained, and further determine the service type corresponding to the service data. For example, the service types are divided according to service functions, and may be divided into an accounting type, a statistical analysis type, a logic calculation type, a query type, a payment type, and the like. The accounting type is a service type corresponding to service data generated by service generation and accounting; the statistical analysis type is to count the complex service data and analyze the service type corresponding to the service data; the logic calculation type is a service type corresponding to service data generated by performing logic processing on the complex service; the query type comprises a service type corresponding to the simple accounting query, a logic calculation result or statistical analysis query service data; the payment type is a service type corresponding to service data containing payment information. For another example, in the banking industry, the service types may be divided according to the service contents, and may be divided into a card issuing type, a transaction type, and the like. The card issuing type is a service type corresponding to service data containing card issuing information; the transaction type is a service type corresponding to service data containing transaction information. The division principle of the traffic type is not particularly limited here.
After the service data is acquired, when the service type in the intelligent contract subscription request is determined, a situation of service type crossing may occur. At this time, determining the service type may determine a service type with a larger coverage as the service type corresponding to the obtained service data by clustering or other methods. For example, the service type corresponding to the acquired service data is both an accounting type and a payment type, and the service types corresponding to the service data are determined to be transaction types according to the service content and the transaction types.
Step S102, establishing a computing resource configuration condition according to the service type, and acquiring computing resource configuration information corresponding to the computing resource configuration condition in the current block link node.
Through step S101, the service type associated with the intelligent contract may be obtained, and in this step, different corresponding computing resource configuration conditions may be established for the associated service type. The computing resources refer to resources used for computing, and include central processing unit performance resources, memory resources, hard disk resources, and the like. The computing resource allocation condition is a condition for arranging the use of the computing resource to satisfy different demands of each service type, and the condition is a different criterion of the computing resource defined for each service type. Establishing different computing resource allocation conditions for different service types can obtain related computing resource allocation conditions according to the service types, and the related computing resource allocation conditions are the computing resource allocation conditions corresponding to the service types.
The computing resource allocation information of each block chain node is the numerical parameter information and non-numerical parameter information of the central processing unit performance resource, the memory resource and the hard disk resource corresponding to the block chain node. The non-numerical parameter information in the computing resource allocation information of each block chain node is set when the block chain node is generated, and the non-numerical parameter information may be changed when the terminal equipment is changed; the numerical parameter information is already determined when the block link point is generated and does not change. For a certain blockchain node, the acquired computing resource configuration information may be used as the computing resource configuration information corresponding to the computing resource configuration condition of the current blockchain node.
And S103, judging whether the computing resource configuration information meets the computing resource configuration condition.
And judging whether the computing resource configuration information of the current blockchain node is in accordance with the node set of the blockchain node or not according to the computing resource configuration information of the current blockchain node obtained in the step S102, and which node set needs to be judged by using the computing resource configuration condition. Corresponding computing resource allocation conditions are established according to the service types, so that the computing resource allocation information of the block chain nodes needs to be compared with the computing resource allocation conditions of each service type respectively for judgment.
And S104, if the computing resource allocation information meets the computing resource allocation conditions, making and storing the intelligent contract at the current block link point.
The computing resource allocation information of the current block link node is determined according to step S103, which lists a scenario when it is determined that the computing resource allocation information of the current block link node satisfies the computing resource allocation condition. For example, if the cpu type of a service type is Intel, then if the cpu type of a block link node is Intel, whether it is a racing series, a pentium series, a core series, or a flying series, an intelligent contract can be established and saved at the current block link point according to the computing resource configuration condition. Of course, the computing resource configuration information corresponding to the computing resource configuration condition of one service type is not only one, but also other computing resource configuration information can be used for continuous judgment until an intelligent contract required by one service type is established.
And S105, if the computing resource configuration information does not meet the computing resource configuration condition, sending an intelligent contract booking request to the big data processing system, and booking and storing the intelligent contract by the big data processing system.
The computing resource configuration information of the current block chain node is determined according to step S103, which lists a scenario when it is determined that the computing resource configuration information of the current block chain node does not satisfy the computing resource configuration condition. For example, if the type of the central processing unit of the current block chain node is a seine series in Intel, and if the type of the central processing unit of the current block chain node is other series except the seine series, it can be determined that the computing resource configuration information does not satisfy the computing resource configuration condition, the intelligent contract making request of the current block chain node is sent to the big data processing system, and the big data processing system makes and stores the intelligent contract. The big data processing system is a computer with strong storage and calculation capacity, and can be a central server capable of carrying out data communication with each node. The external big data processing system is responsible for carrying out logic calculation or data statistical analysis on the new accounting transaction and recording the processing result into the big data processing system; the external big data processing system may also write back the computed results to the chain in which the smart contracts are located, in which case all query transactions are queried by the smart contracts and results are returned. And, the current blockchain node which does not meet the computing resource configuration condition of one service type is judged according to the computing resource configuration conditions of other service types.
Establishing corresponding computing resource allocation conditions according to the service types, wherein the conditions can be used for measuring the computing capacity of the block chain nodes, and if the computing capacity of the block chain nodes meets the conditions, the block chain nodes can directly make and manage the intelligent contracts; if the computing power of the block chain node does not meet the condition, the intelligent contract can be established and managed by the big data processing system. The classification processing mode is beneficial to integrating the computing resources and improving the service processing speed and efficiency of the block chain.
On the basis of the above embodiment, as shown in fig. 2, the step S102 of establishing the computing resource allocation condition according to the service type includes the following steps:
step S201, presetting one or more computing resource configuration parameters.
The computing resource allocation condition corresponding to each service type may be a setting condition for one or more computing resource allocation parameters. The computing resource configuration parameters may be related parameters of the central processing unit performance resources, the memory resources, and the hard disk resources. Presetting one or more computing resource configuration parameters, namely presetting relevant parameters of the performance resources of the central processing unit, the memory resources and the hard disk resources.
Step S202, at least one computing resource configuration parameter is selected according to the service type, and computing resource configuration conditions are established for the selected computing resource configuration parameter.
In step S201, the computing resource allocation parameters are preset, and further, computing resource allocation conditions need to be established. The computing resource allocation conditions formulate different standards of computing resources for each traffic type. Specifically, the computing resource allocation condition is to select and preset a computing resource allocation parameter. Therefore, different computing resource configuration conditions are established for different service types, that is, corresponding computing resource configuration parameters are set, and according to different service types, different computing resource configuration parameters can be selected, so that the relevant computing resource configuration parameters are the computing resource configuration conditions corresponding to the service type. The number of the computing resource configuration parameters selected in the computing resource configuration conditions corresponding to different service types is unequal, and at least one of the computing resource configuration parameters should be included.
According to the embodiment, the corresponding computing resource configuration parameters are established as the computing resource configuration conditions for different service types, so that the three can be well matched, the setting and the checking are convenient, different computing resource configuration parameters are preset for different computing resource configuration conditions, the non-applicability of unified setting is avoided, and the method is more specific and accurate.
On the basis of the above embodiment, the computing resource configuration parameters in the block chain intelligent contract management method include numerical parameters and/or non-numerical parameters; the numerical parameters comprise a central processing unit main frequency, memory capacity, hard disk capacity and/or network bandwidth; the non-numerical parameters include a central processing unit type, a memory type and/or a hard disk type.
The central processing unit dominant frequency is one aspect of performance of the central processing unit and represents the speed of operation and data processing of the central processing unit; the memory capacity is the data size for temporarily storing data processed by the machine during operation, and the size depends on the data size storable by the memory bank, so the larger the memory capacity is, the better the memory capacity is; the hard disk capacity is the amount of data that the hard disk can permanently store, and the size depends on the hard disk; the network bandwidth is the maximum bit data which can pass in a fixed time, and is an important index for measuring the use condition of the network. It can be seen that the numerical parameters can all be represented by data to indicate their associated usage, so that data operations can be performed to determine whether they meet the computing resource allocation condition.
The central processing units mainly comprise an Intel type and an AMD type, and the data processing capacities of different central processing unit types are different; the memory types mainly comprise SDRAM, DDR SDRAM and RDRAM, and the transmission types of different types of memory are different; the hard disk types mainly include IDE, SATA, SCSI and optical fiber channel, and the connection speed of different hard disk interfaces between the hard disk and the computer is different, which affects the program running speed and the system performance. It is understood that non-numerical parameters are parameters that are determined by the block link points themselves.
According to the embodiment, the computing resource configuration parameters in the computing resource configuration conditions of the service types are set and described, so that the computing resource configuration conditions are more detailed in relation to the parameters, setting and understanding are facilitated, various different service types can be used for selecting the computing resource configuration parameters more specifically, the diversity is better, the adaptability is higher, and the situation of wrong correspondence is not easy to occur.
In another exemplary embodiment of the disclosure, as shown in fig. 3, the method for block chain intelligent contract management further includes the following steps:
step S301, receiving an intelligent contract calling request, and judging whether an intelligent contract to be called is stored in a current block chain node or a big data processing system according to the intelligent contract calling request.
The intelligent contract invocation request can be generated and sent through a service layer trigger script, and the service layer is a global local area network type service layer. When the intelligent contract calling request is received, the blockchain analyzes the intelligent contract calling request, and therefore whether the intelligent contract to be called is stored on the current blockchain node or the big data processing system or not is judged. The intelligent contract calling request carries the name, calling port, service type and transaction parameter of the intelligent contract to be called, the name of the target intelligent contract to be called in the embodiment refers to the intelligent contract to be called, and the intelligent contract to be called is one of the intelligent contracts which are already made and stored.
And S302, if the intelligent contract to be called is stored in the current block chain node, executing the intelligent contract by the current block chain node, and returning the execution result of the intelligent contract to the sender of the intelligent contract calling request.
According to the step S301, the storage position of the intelligent contract to be called is judged, and the step lists the scene when the intelligent contract to be called is judged to be stored on the current block link node. And the intelligent contract to be called is successfully called, is executed by the current block chain node storing the intelligent contract to be called, performs service processing according to the intelligent contract calling request, generates service data and an execution result, and returns the execution result of the intelligent contract to be called to a sender of the intelligent contract calling request.
And S303, if the intelligent contract to be called is judged to be saved on the big data processing system, executing the intelligent contract by the big data processing system, and returning the execution result of the intelligent contract to the sender of the intelligent contract calling request through the current block link point.
According to the step S301, the saving position of the intelligent contract to be called is judged, and the step lists the scenes when the intelligent contract to be called is judged to be saved on the big data processing system. And the intelligent contract to be called is successfully called, is executed by a big data system for storing the intelligent contract to be called, performs service processing according to the intelligent contract calling request, generates service data and an execution result, and returns the execution result of the intelligent contract to be called to a sender of the intelligent contract calling request through the current block chain link point.
The method and the device for calling the intelligent contract have the advantages that the storage position of the intelligent contract to be called is judged by obtaining the intelligent contract calling request, the target intelligent contract is correspondingly executed, the execution result is obtained and returned, when the intelligent contract in the block chain is called, the address and the interface description information of the intelligent contract do not need to be known, the intelligent contract can be successfully called and executed in different storage positions only by knowing the associated storage information of the intelligent contract, the calling process of the intelligent contract in the block chain is simplified, the calling difficulty of the intelligent contract is reduced, the situation of calling error of the intelligent contract caused by the interface description error is avoided, and the accuracy of executing the intelligent contract and the reliability of the result are ensured.
On the basis of this embodiment, as shown in fig. 4, the receiving of the intelligent contract invoking request in step S301 includes the following steps:
step S401, obtaining a plurality of computing resource utilization rates of the current block chain node.
The intelligent contract calling request received by the current block link node is analyzed, and the utilization rates of a plurality of computing resources in the current block link node can be obtained. The computing resource usage refers to usage of computing resources, including central processing unit performance resources, memory resources, hard disk resources, and the like, such as central processing unit usage, memory usage, hard disk usage, and/or network usage. Since the usage of the computing resources is changed with the operation and operation of the current blockchain node, instantaneous values of a plurality of computing resources at a certain time are obtained as the usage rates of a plurality of computing resources at the current time of the current blockchain node.
And S402, calculating the utilization rate of the computing resources, and obtaining a calculation result as a computing resource score.
According to step S401, a plurality of computing resource utilization rates of the current blockchain node may be obtained, and in this step, corresponding operations may be performed on the obtained computing resource utilization rates. In order to evaluate the computing resources, the computing resource utilization needs to be calculated, for example, unequal weights may be assigned to different computing resource utilization according to their specific weights, and the weighted sum may be performed to obtain a computing result as a computing resource score. The weight assigned to each computing resource utilization rate may be obtained by the inventor according to a large number of statistical experiments or the requirement on the computing capability of each block chain node.
And S403, if the computing resource score of the current blockchain node is smaller than a preset threshold value, transmitting the received intelligent contract calling request to the next blockchain node.
In step S402, a plurality of calculation resource usage rates are calculated to obtain a calculation resource score, and the calculation resource score is subjected to result determination in this step. In order to facilitate evaluation of the calculation resource score of the current block link point, a preset threshold value may be set. If the computing resource score of the current blockchain node is smaller than the preset threshold value, the fact that the computing capability of the current blockchain node possibly cannot meet the requirement of the intelligent contract to be called is indicated, so that the received intelligent contract calling request can be transmitted to the next blockchain node, judgment is continued until a blockchain node which can meet the requirement of the intelligent contract to be called is found.
In the embodiment, for the intelligent contract to be called to find a block chain link point meeting the intelligent contract calling request, a preset threshold value is set, and the calculation resource scores obtained by calculating the utilization rates of a plurality of calculation resources are judged, so that not only is the normal calling and execution of the established and stored intelligent contract guaranteed, but also the calculation resource utilization rate results of each block chain can be obtained, and the calculation capacity of each block chain node is mastered.
On the basis of the above embodiment, the method for managing intelligent contracts of block chains further includes sending an early warning message if the computation resource score of the current block chain node is smaller than a preset threshold.
When the resource score of the current block link node is smaller than the preset threshold, an early warning message is sent to the user associated with the current block link node. The early warning information may include the computing resource usage of the current blockchain node, its level, type, etc. Moreover, the content contained in the early warning information can be sent to the user, so that the user corresponding to the block chain node can conveniently master the condition of calculating the resource score and carry out corresponding resource adjustment.
On the basis of the above embodiment, as shown in fig. 5, the step S303 of returning the execution result of the intelligent contract to the sender of the intelligent contract invoking request through the current block link point includes the following steps:
and S501, storing the execution result of the intelligent contract on the current block chain node.
When the intelligent contract to be called is executed, the service processing can be carried out according to the service type of the intelligent contract to generate related service data and an execution result, the execution process is completed by a big data processing system, so the execution result cannot be directly returned to a sender of the intelligent contract calling request, and the execution result can be stored on a current block chain node.
And S502, returning the execution result of the intelligent contract saved on the current block chain node to the sender of the intelligent contract calling request.
The execution result of the intelligent contract may be returned to the sender of the intelligent contract invocation request according to the step S501 that the execution result of the intelligent contract has been saved on the current block link node. The execution result can be obtained by the central processing unit and fed back.
The embodiment explains the return mode of the execution result when the intelligent contract is executed by the big data processing system, so that the sender of the intelligent contract calling request can master the execution result of the intelligent contract, and the difference of the return modes when the storage positions of the intelligent contracts are different is perfected.
It should be noted that although the above exemplary embodiment implementations describe the various steps of the method in the present disclosure in a particular order, this does not require or imply that these steps must be performed in that particular order, or that all of the steps must be performed, to achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
In addition, in an example embodiment of the present disclosure, a window interface interaction device is also provided. Referring to fig. 6, the blockchain intelligent contract management apparatus 600 may include: a request receiving module 601, a condition establishing module 602, an information judging module 603, a first booking module 604 and a second booking module 605. Wherein:
a request receiving module 601 configured to receive an intelligent contract making request and obtain a service type in the intelligent contract making request; a condition establishing module 602 configured to establish a computing resource configuration condition according to the service type; an information determining module 603, configured to obtain computing resource configuration information corresponding to the computing resource configuration condition in a current block link node, and determine whether the computing resource configuration information satisfies the corresponding computing resource configuration condition; a first establishing module 604, configured to establish and store an intelligent contract at the current block link node if the computing resource configuration information of the current block link node meets the corresponding computing resource configuration condition; a second establishing module 605, configured to send the intelligent contract establishing request to the big data processing system if the computing resource configuration information of the current block link node does not satisfy the corresponding computing resource configuration condition, and establish and store an intelligent contract by the big data processing system.
The specific details of the above block chain intelligent contract management apparatus have been described in detail in the corresponding block chain intelligent contract management method, and therefore are not described herein again.
It should be noted that although several modules or units of the blockchain intelligent contract management apparatus 600 are mentioned in the above detailed description, such partitioning is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
An electronic device 700 according to such an embodiment of the invention is described below with reference to fig. 7. The electronic device 700 shown in fig. 7 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 7, electronic device 700 is embodied in the form of a general purpose computing device. The components of the electronic device 700 may include, but are not limited to: the at least one processing unit 710, the at least one memory unit 720, a bus 730 connecting different system components (including the memory unit 720 and the processing unit 710), and a display unit 740.
Wherein the memory unit stores program code that is executable by the processing unit 710 such that the processing unit 710 performs the steps according to various exemplary embodiments of the present invention as described in the above section "exemplary method" of the present specification.
The storage unit 720 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)7201 and/or a cache memory unit 7202, and may further include a read only memory unit (ROM) 7203.
The storage unit 720 may also include a program/utility 7204 having a set (at least one) of program modules 7205, such program modules 7205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 700 may also communicate with one or more external devices 900 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 700, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 700 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 750. Also, the electronic device 700 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 760. As shown, the network adapter 740 communicates with the other modules of the electronic device 700 over the bus 730. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 700, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above-mentioned "exemplary methods" section of the present description, when said program product is run on the terminal device.
Referring to fig. 8, a program product 800 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A method for block chain intelligent contract management, comprising:
receiving an intelligent contract booking request, and acquiring a service type corresponding to an intelligent contract in the intelligent contract booking request;
establishing a computing resource configuration condition according to the service type, and acquiring computing resource configuration information corresponding to the computing resource configuration condition in a current block chain node;
judging whether the computing resource configuration information meets the computing resource configuration condition;
if the computing resource configuration information meets the computing resource configuration condition, the intelligent contract is established and stored in the current block chain node;
and if the computing resource configuration information does not meet the computing resource configuration condition, sending the intelligent contract booking request to a big data processing system, and booking and storing the intelligent contract by the big data processing system.
2. The method for managing intelligent contracts according to block chains as claimed in claim 1, wherein said establishing conditions for allocating computing resources according to said traffic types comprises:
presetting one or more computing resource configuration parameters;
and selecting at least one computing resource configuration parameter according to the service type, and establishing the computing resource configuration condition for the selected computing resource configuration parameter.
3. The blockchain intelligent contract management method according to claim 2, wherein said computing resource configuration parameters include numeric parameters and/or non-numeric parameters; the numerical parameters comprise a central processing unit main frequency, memory capacity, hard disk capacity and/or network bandwidth; the non-numerical parameters comprise a central processing unit type, a memory type and/or a hard disk type.
4. The blockchain intelligent contract management method of claim 1, wherein the method further comprises:
receiving an intelligent contract calling request, and judging whether the intelligent contract to be called is stored on a current block chain node or a big data processing system according to the intelligent contract calling request;
if the intelligent contract to be called is judged to be stored on the current block chain node, executing the intelligent contract by the current block chain node, and returning the execution result of the intelligent contract to the sender of the intelligent contract calling request;
and if the intelligent contract to be called is judged to be saved on the big data processing system, the big data processing system executes the intelligent contract, and an execution result of the intelligent contract is returned to a sender of the intelligent contract calling request through the current block chain link point.
5. The blockchain intelligent contract management method according to claim 4, wherein the receiving an intelligent contract invocation request comprises:
obtaining a plurality of computing resource utilization rates of the current blockchain node;
calculating the utilization rate of the computing resources, and obtaining a calculation result as a computing resource score;
and if the computing resource score of the current blockchain node is smaller than a preset threshold value, transmitting the received intelligent contract calling request to the next blockchain node.
6. The blockchain intelligent contract management method of claim 4, wherein the method further comprises:
and if the computing resource score of the current block link node is smaller than the preset threshold value, sending early warning information.
7. A method for block chain intelligent contract management according to claim 4, wherein said returning the execution result of the intelligent contract to the sender of the intelligent contract invoking request through the current block chain link point comprises:
saving the execution result of the intelligent contract on the current blockchain node;
and returning the execution result of the intelligent contract saved on the current block chain node to a sender of the intelligent contract calling request.
8. A blockchain intelligent contract management apparatus, comprising:
the intelligent contract setting system comprises a request receiving module, a contract setting module and a contract setting module, wherein the request receiving module is configured to receive an intelligent contract setting request and acquire a service type in the intelligent contract setting request;
the condition establishing module is configured to establish a computing resource configuration condition according to the service type;
the information judgment module is configured to acquire computing resource configuration information corresponding to the computing resource configuration condition in a current block link node and judge whether the computing resource configuration information meets the corresponding computing resource configuration condition;
a first establishing module configured to establish and store an intelligent contract at the current block chain node if the computing resource configuration information of the current block chain node satisfies the corresponding computing resource configuration condition;
and the second establishing module is configured to send the intelligent contract establishing request to the big data processing system if the computing resource configuration information of the current block link node does not meet the corresponding computing resource configuration condition, and establish and store the intelligent contract by the big data processing system.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the method for block-chain intelligent contract management according to any one of claims 1 to 7.
10. An electronic device, comprising:
a processor;
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the blockchain intelligent contract management method of any one of claims 1-7 via execution of the executable instructions.
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| CN201910003252.2A CN109803004B (en) | 2019-01-03 | 2019-01-03 | Block chain intelligent contract management method and device, electronic equipment and storage medium |
| PCT/CN2019/120958 WO2020140649A1 (en) | 2019-01-03 | 2019-11-26 | Blockchain smart contract management method and apparatus, electronic device and storage medium |
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| CN201910003252.2A CN109803004B (en) | 2019-01-03 | 2019-01-03 | Block chain intelligent contract management method and device, electronic equipment and storage medium |
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