CN114328133A - Single-mechanism distributed conflict detection method and system and deposit separation framework - Google Patents
Single-mechanism distributed conflict detection method and system and deposit separation framework Download PDFInfo
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Abstract
The invention discloses a single-mechanism distributed conflict detection method, a system and a storage separation framework, wherein the detection method comprises the following steps: grouping intra-block transactions of the block chain according to a preset rule, wherein each group of intra-block transactions corresponds to a conflict detection task; distributing each group of conflict detection tasks to different node servers to execute corresponding conflict detection calculation in parallel to obtain a conflict detection execution result; respectively sending the same group of conflict detection tasks to at least two different node servers to execute corresponding conflict detection calculation, and performing cross check on each conflict detection execution result; and merging all conflict detection execution results after cross check and outputting the merged result. The invention adopts a grouping parallel execution mode for the conflict detection task, fully utilizes the redundant computing power of other node servers in the mechanism, realizes the parallel execution of the conflict detection task, and can greatly improve the execution efficiency of the detection task.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a single-mechanism distributed collision detection method, a single-mechanism distributed collision detection system and a storage and separation framework.
Background
In the prior art, a way of performing conflict detection on a block chain is that after transactions in a block are distributed to a plurality of transaction execution modules to be executed in parallel, conflict detection is performed on transaction execution results, and at least one conflict transaction is executed again by a transaction execution module corresponding to a conflict transaction execution result on the basis of executed and non-conflict transaction execution results until no conflict is detected; if the transaction does not have conflict, combining transaction execution results according to transaction sequencing and outputting the transaction execution results.
However, this approach is still a collision detection for the whole transaction execution result, and the execution of the multiple transaction execution modules is performed by multiple cores (i.e. only a single node) in a single node, which makes the computation resource of the single node very large and time consuming.
Therefore, how to provide a single-mechanism distributed collision detection method and system that can significantly reduce the computation resources and have a fast computation speed is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of this, the invention provides a single-mechanism distributed collision detection method, a system and a storage and separation architecture, wherein a grouping parallel execution mode is adopted for collision detection tasks, redundant computing power of other node servers in the mechanism is fully utilized, parallel execution of the collision detection tasks is realized, and execution efficiency of the detection tasks can be greatly improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
a single-chassis distributed collision detection method, comprising:
grouping intra-block transactions of the block chain according to a preset rule, wherein each group of intra-block transactions corresponds to a conflict detection task;
distributing each group of conflict detection tasks to different node servers to execute corresponding conflict detection calculation in parallel to obtain a conflict detection execution result;
respectively sending the same group of conflict detection tasks to at least two different node servers to execute corresponding conflict detection calculation, and performing cross check on each conflict detection execution result;
and merging all conflict detection execution results after cross check and outputting the merged result.
Optionally, in the above method for detecting a single-mechanism distributed conflict, the preset rule is: and grouping the transactions in the blocks according to the receiving time.
Optionally, in the above single-mechanism distributed collision detection method, the distributing each group of collision detection tasks to different node servers to execute corresponding collision detection calculation in parallel, and obtaining a collision detection execution result, includes:
performing parallel scheduling on the grouped conflict detection tasks according to the group, and distributing the tasks to corresponding node servers for pre-execution to obtain corresponding transaction read-write sets;
and performing parallel conflict detection on each group of transaction read-write sets according to the group, and obtaining a conflict detection execution result.
Optionally, in the single-mechanism distributed collision detection method, after performing cross validation and before merging on each collision detection execution result, the method further includes: and collecting and rechecking the conflict detection execution results obtained by each node server.
According to the technical scheme, compared with the prior art, the invention discloses a single-mechanism distributed conflict detection method, the transaction in the block blocks is grouped, each group corresponds to one conflict detection task, a plurality of node servers (but not a plurality of processes/cores of one node server) in a mechanism execute each conflict detection task in parallel, meanwhile, the transaction conflict detection tasks of the same group are distributed to at least two different nodes to be executed, so that the consistency check is carried out on the transaction conflict detection execution results, the correctness of the conflict detection execution results is ensured, finally, the execution results of each node are collected and checked, and the conflict detection execution results of all transactions in the blocks are obtained and output. The invention effectively utilizes redundant computing resources in the mechanism, realizes the parallel execution optimization of the conflict detection in a single mechanism by executing the conflict detection in batches and in parallel on each group of transactions by the transaction groups, can reduce the detection time consumption, and simultaneously saves the computing resources of a single node by fully utilizing the computing resources of other nodes in the mechanism.
The invention also provides a single-mechanism distributed collision detection system, comprising:
the task management and distribution module is used for grouping intra-block transactions of the block chain according to a preset rule, and each group of intra-block transactions corresponds to a conflict detection task; distributing each group of conflict detection tasks to different node servers, and respectively sending the same group of conflict detection tasks to at least two different node servers;
the computing module is used for executing corresponding conflict detection computation in parallel on different node servers according to corresponding conflict detection tasks;
the system comprises a checking module, a collision detection module and a collision detection module, wherein the checking module is used for executing corresponding collision detection calculation on at least two different node servers according to the same group of collision detection tasks and performing cross checking on each collision detection execution result; and
and the output module is used for merging all the conflict detection execution results after the cross check and outputting the merged result.
Optionally, in the above single-mechanism distributed collision detection system, the calculation module includes:
the pre-execution module is used for pre-executing the grouped conflict detection tasks on different node servers according to groups to obtain corresponding transaction read-write sets;
and the conflict detection module is used for carrying out parallel conflict detection on each group of transaction read-write sets according to the group to obtain a preliminary conflict detection execution result.
The present invention also provides a computation separation architecture, comprising: a conflict detection system, a storage management scheduling system and a storage resource system which are in communication connection;
the conflict detection system is used for scheduling the conflict detection task of the block chain according to the steps of the single-mechanism distributed conflict detection method;
the storage management scheduling system is used for reading data in the storage resource system in parallel according to the conflict detection task;
and the conflict detection system is also used for carrying out conflict detection on the data read by the storage management scheduling system according to the steps of the single-mechanism distributed conflict detection method.
Optionally, in the above computation separation architecture, the method further includes: a client; the client is used for sending a transaction request to the conflict detection system and receiving a conflict detection execution result fed back by the conflict detection system.
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 described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a single-chassis distributed collision detection method provided by the present invention;
FIG. 2 is a flow chart illustrating parallel execution of corresponding collision detection computations provided by the present invention;
FIG. 3 is a schematic diagram of a single-chassis distributed collision detection system according to the present invention;
fig. 4 is a schematic structural diagram of a computation separation framework according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention discloses a single-mechanism distributed collision detection method, including the following steps:
s1, grouping intra-block transactions of the block chain according to a preset rule, wherein each intra-block transaction corresponds to a conflict detection task; the preset rule may be to group transactions in the block according to the receiving time.
And S2, distributing each group of conflict detection tasks to different node servers to execute corresponding conflict detection calculation in parallel to obtain a conflict detection execution result.
And S3, respectively sending the same group of conflict detection tasks to at least two different node servers to execute corresponding conflict detection calculation, and performing cross check on each conflict detection execution result. When the cross check is carried out, if the Byzantine problem does not exist, the result of the cross check is always the same, if the result is inconsistent, the Byzantine node exists, and at the moment, the result is sent to other different nodes to carry out the cross check again.
And S4, merging all the conflict detection execution results after the cross check and outputting the merged result.
In an embodiment, as shown in fig. 2, in S2, the step of distributing each set of conflict detection tasks to different node servers and performing corresponding conflict detection calculation to obtain a conflict detection execution result, which is equivalent to performing batch transaction conflict detection, specifically, S2 includes:
s21, based on the IP address of the node server, performing parallel scheduling on the grouped conflict detection tasks (namely, the transaction groups in the figure 2) according to the groups, and distributing the tasks to the corresponding node server for pre-execution to obtain a corresponding transaction read-write set;
and S22, performing parallel conflict detection on each group of transaction read-write sets according to the group, and obtaining a conflict detection execution result (namely the conflict detection result of the transaction read-write sets in the figure).
The above-mentioned related terms are explained below:
trading: one call to the blockchain intelligent contract contains all the information of calling the intelligent contract: intelligent contract names, calling function names, parameters, etc.
Transaction read-write set: by simulating the execution of the transaction, the dependence and influence of the transaction on the world state can be found and represented by a read-write set, wherein the read set
Is a subset, write set, of keys on which transactions depend on the current world state
Is a subset of the keys that the transaction has an effect on the current world state.
And (3) collision detection: and analyzing the dependency relationship of the transaction read-write set.
In a more advantageous embodiment, in S4, before merging all collision detection execution results after the cross check, the method further includes: and collecting and rechecking the conflict detection execution results obtained by each node server.
The invention groups the transaction in the block, each group corresponds to a conflict detection task, and a plurality of nodes (nodes instead of a plurality of processes/cores of a node server) in the mechanism execute each conflict detection task in parallel, and simultaneously distributes the transaction conflict detection tasks of the same group to at least two different nodes to execute respectively so as to carry out consistency check on the transaction conflict detection execution result and ensure the correctness of the detection execution result, then collects the execution result of each node and checks, firstly checks whether the execution result of each node is the same (for example, by comparing result set root hash), and then checks whether the transaction read-write set of the execution result conflicts with other fragments. And then merging to obtain and output the conflict detection execution results of the transactions in all the blocks. The invention effectively utilizes redundant computing resources in the mechanism, realizes the parallel execution optimization of the conflict detection in a single mechanism by executing the conflict detection in batches and in parallel on each group of transactions by the transaction groups, can reduce the detection time consumption, and simultaneously saves the computing resources of a single node by fully utilizing the computing resources of other nodes in the mechanism.
As shown in fig. 3, an embodiment of the present invention further provides a single-mechanism distributed collision detection system, including:
the task management and distribution module is used for grouping intra-block transactions of the block chain according to a preset rule, and each group of intra-block transactions corresponds to a conflict detection task; distributing each group of conflict detection tasks to different node servers, and respectively sending the same group of conflict detection tasks to at least two different node servers;
the computing module is used for executing corresponding conflict detection computation in parallel on different node servers according to corresponding conflict detection tasks;
the system comprises a checking module, a collision detection module and a collision detection module, wherein the checking module is used for executing corresponding collision detection calculation on at least two different node servers according to the same group of collision detection tasks and performing cross checking on each collision detection execution result; and
and the output module is used for merging all the conflict detection execution results after the cross check and outputting the merged result.
Specifically, the calculation module includes:
the pre-execution module is used for pre-executing the grouped conflict detection tasks on different node servers according to groups to obtain corresponding transaction read-write sets;
and the conflict detection module is used for carrying out parallel conflict detection on each group of transaction read-write sets according to the group to obtain a preliminary conflict detection execution result.
As shown in fig. 4, an embodiment of the present invention further provides a computation separation architecture, including: a conflict detection system, a storage management scheduling system and a storage resource system which are in communication connection;
the conflict detection system is used for scheduling the conflict detection task of the block chain according to the steps of the single-mechanism distributed conflict detection method; the conflict detection system is equivalent to the single-mechanism distributed conflict detection system in fig. 2, and integrally comprises a conflict detection task management scheduling module and a computing resource module; the conflict detection task management scheduling module is equivalent to the combination of a task management distribution module and an output module in a single-mechanism distributed conflict detection system; the computing resource module is composed of a plurality of node servers, each node server comprises a plurality of computing units, and the computing units can be computing modules and/or verification modules.
And the storage management scheduling system is used for reading the data in the storage resource system in parallel according to the conflict detection task.
The conflict detection system is further configured to perform conflict detection on the data read by the storage management scheduling system according to the steps of the single-mechanism distributed conflict detection method, and store the conflict detection execution result in the storage resource system in a fragmented manner through the storage management scheduling system.
In other embodiments, further comprising: a client; the client is used for sending a transaction request to the conflict detection system and receiving a conflict detection execution result fed back by the conflict detection system.
The specific execution process of the calculation separation framework in the embodiment of the invention is as follows:
firstly, the task management scheduling module receives a computing task request from a client and distributes task scheduling to computing units of different node servers in the computing resource module to execute corresponding computing tasks. (in actual blockchain applications, the computing units of different node servers in the computing resources can concurrently execute corresponding computing tasks; the computing tasks can be conflict detection computing units, consensus computing units, etc.)
After receiving the task management scheduling request, the computing resource module firstly reads data in the storage resource system through the storage management scheduling system, the data reading process can be executed in parallel (because the data is stored in fragments, the data stored in the fragments can be read in parallel and combined into original data), and the computing task is executed after the data reading is finished;
after the computing task is completed, the computing resource module stores the execution result, namely the fragment writing, in the storage resource system through the storage management scheduling system and returns the execution result to the client.
Based on the distributed storage and computation separation architecture, the block chain network mechanism can independently and transversely expand the storage and computation resources to meet the requirements of high-concurrency and high-throughput block chain application scenes on the storage and computation performance.
The execution efficiency of the present invention is explained below with a specific example:
assuming that the number of transactions is 10000, and 4 node servers are provided in the organization, the check quantity of each node is 10000 according to the traditional scheme (collision detection is not performed in batches); based on the scheme, the transaction is batched and parallelly executed with the conflict detection task, and under the condition that the same batch of transactions are respectively distributed to two nodes for execution (for checking the correctness of the conflict detection result, at least two different nodes are sent) for cross verification, the check quantity of each node is only 10000 × 2/4=5000 pens, and the compression rate is 50%; if the number of the nodes is more, the compression effect of the calculated quantity is more obvious, and if the number of the nodes is expanded to 10, the check quantity is 10000 × 2/10=2000 pens, and the compression rate is 20%. Therefore, each node executing the conflict detection task does not need to calculate the total amount of conflicts, so that redundant node calculation resources in the mechanism can be fully utilized, the time consumption of conflict detection is reduced, and the execution efficiency of transaction conflict detection is improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A single-mechanism distributed collision detection method is characterized by comprising the following steps:
grouping intra-block transactions of the block chain according to a preset rule, wherein each group of intra-block transactions corresponds to a conflict detection task;
distributing each group of conflict detection tasks to different node servers to execute corresponding conflict detection calculation in parallel to obtain a conflict detection execution result;
respectively sending the same group of conflict detection tasks to at least two different node servers to execute corresponding conflict detection calculation, and performing cross check on each conflict detection execution result;
and merging all conflict detection execution results after cross check and outputting the merged result.
2. The single-agency distributed collision detection method according to claim 1, wherein the preset rule is: and grouping the transactions in the blocks according to the receiving time.
3. The single-mechanism distributed collision detection method according to claim 1, wherein the step of distributing each group of collision detection tasks to different node servers to execute corresponding collision detection calculation in parallel to obtain collision detection execution results includes:
performing parallel scheduling on the grouped conflict detection tasks according to the group, and distributing the tasks to corresponding node servers for pre-execution to obtain corresponding transaction read-write sets;
and performing parallel conflict detection on each group of transaction read-write sets according to the group, and obtaining a conflict detection execution result.
4. The single-agency distributed collision detection method according to claim 1, wherein after cross-verifying and before merging the collision detection execution results, the method further comprises: and collecting and rechecking the conflict detection execution results obtained by each node server.
5. A single-chassis distributed collision detection system, comprising:
the task management and distribution module is used for grouping intra-block transactions of the block chain according to a preset rule, and each group of intra-block transactions corresponds to a conflict detection task; distributing each group of conflict detection tasks to different node servers, and respectively sending the same group of conflict detection tasks to at least two different node servers;
the computing module is used for executing corresponding conflict detection computation in parallel on different node servers according to corresponding conflict detection tasks;
the system comprises a checking module, a collision detection module and a collision detection module, wherein the checking module is used for executing corresponding collision detection calculation on at least two different node servers according to the same group of collision detection tasks and performing cross checking on each collision detection execution result; and
and the output module is used for merging all the conflict detection execution results after the cross check and outputting the merged result.
6. The single-chassis distributed collision detection system according to claim 5, wherein the calculation module comprises:
the pre-execution module is used for pre-executing the grouped conflict detection tasks on different node servers according to groups to obtain corresponding transaction read-write sets;
and the conflict detection module is used for carrying out parallel conflict detection on each group of transaction read-write sets according to the group to obtain a preliminary conflict detection execution result.
7. An inventory separation architecture, comprising: a conflict detection system, a storage management scheduling system and a storage resource system which are in communication connection;
the collision detection system is configured to schedule collision detection tasks of a blockchain according to the steps of the single-chassis distributed collision detection method according to any one of claims 1 to 4;
the storage management scheduling system is used for reading data in the storage resource system in parallel according to the conflict detection task;
the collision detection system is further adapted to perform collision detection on data read by the storage management scheduling system according to the steps of the single-chassis distributed collision detection method according to any of claims 1 to 4.
8. The memory separation architecture of claim 7, further comprising: a client; the client is used for sending a transaction request to the conflict detection system and receiving a conflict detection execution result fed back by the conflict detection system.
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