CN110166565A - Block chain divides domain triggering method and system - Google Patents
Block chain divides domain triggering method and system Download PDFInfo
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- CN110166565A CN110166565A CN201910462445.4A CN201910462445A CN110166565A CN 110166565 A CN110166565 A CN 110166565A CN 201910462445 A CN201910462445 A CN 201910462445A CN 110166565 A CN110166565 A CN 110166565A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1059—Inter-group management mechanisms, e.g. splitting, merging or interconnection of groups
Abstract
Present disclose provides a kind of block chains to divide domain triggering method, comprising: when block chain network is added in first node, obtains the present load parameter of each second node in block chain network；According to the present load parameter of each second node, the current overall load parameter of block chain network is calculated；Judge whether the current overall load parameter of the block chain network is greater than the triggering point domain load threshold obtained in advance；If judge that the current overall load parameter of block chain network is greater than the triggering point domain load threshold obtained in advance, triggering divides domain process, completes the addition of first node；If judge that the current overall load parameter of block chain network is less than or equal to the triggering point domain load threshold obtained in advance, a point domain process is not triggered, completes the addition of first node.The disclosure additionally provides block chain point domain triggering system.
Description
Technical field
The embodiment of the present disclosure is related to field of communication technology, in particular to a kind of block chain divides domain triggering method and system.
Background technique
Block chain (Block Chain) is based on P2P transmission, common recognition mechanism, Encryption Algorithm, block linked data structure, distribution
The technologies such as formula data storage, realize the Trusted Digital framework of decentralization.Block chain core is decentralization, with point-to-point biography
It is defeated for carrying, being generated using distributed node common recognition algorithm, Encryption Algorithm, block linked data structure can not distort and can not be pseudo-
The distributed account book made.But just because of the thought of its decentralization, can all have broadcast message between any two node, be total to
Know algorithm message, data block and the data traffics such as synchronizes.When block chain network number of nodes reaches certain scale, data traffic swashs
Increase, it will bring larger pressure to transmission network, while each node also faces the pressure of calculation amount.
In order to solve the above problem, divide domain method using a kind of block chain at present, reach certain scale in block chain number of nodes
When, by the partition of whole nodes into two different domains, the broadcast between node, common recognition algorithm message in this domain are limited to this domain
It is interior, data block is subjected to cross-domain synchronization when not expanding to other domains, but new book keeping operation occurs, if the number of the node in this subsequent domain
When gauge mould reaches point domain standard, domain will be divided again, and so on, it can achieve reduction network flow by way of point domain
Amount, the purpose for mitigating node calculation amount.
But divide the condition in domain using this single Static implicit method of the quantity size of node as triggering block chain, less
Rationally, it is difficult to realize efficient and rational block chain point domain.
Summary of the invention
The embodiment of the present disclosure provides a kind of block chain point domain triggering method and system.
In a first aspect, the embodiment of the present disclosure provides a kind of block chain point domain triggering method, which divides domain triggering method
Include:
When block chain network is added in first node, the present load ginseng of each second node in block chain network is obtained
Number；
According to the present load parameter of each second node, the current overall load parameter of block chain network is calculated；
Judge whether the current overall load parameter of the block chain network is greater than the triggering point domain load threshold obtained in advance
Value；
If judge that the current overall load parameter of block chain network is greater than the triggering point domain load threshold obtained in advance,
Triggering divides domain process, completes the addition of first node；
If judging, the current overall load parameter of block chain network is less than or equal to the triggering point domain obtained in advance and loads
When threshold value, a point domain process is not triggered, completes the addition of first node.
In some embodiments, the present load parameter for obtaining each second node in block chain network includes:
The second node adjacent from the first node obtains block chain load information table, the block chain load information table
Including node load information table, the node load information table includes the present load parameter of each second node.
In some embodiments, the block chain load information table further includes configuration parameter table, the configuration parameter table packet
Include the triggering point domain load threshold.
In some embodiments, the node load information table further includes the node ID and each second section of each second node
The node address of point.
In some embodiments, the present load parameter Node_Load=CPU_Load*W_C+Memory_ of second node
Load*W_M, wherein Node_Load is the present load parameter of second node, and CPU_Load is that the current CPU of second node is flat
Equal resource utilization, W_C are the corresponding default weight of CPU_Load, and Memory_Load is that the current memory of second node is average
Resource utilization, W_M are the corresponding default weight of Memory_Load, W_C, W_M ∈ (0,1), W_C+W_M=1.
In some embodiments, the present load parameter according to each second node, calculates working as block chain network
Preceding overall load parameter includes:
The present load parameter of each second node is summed；
By summed result divided by the total quantity of second node, being averaged for the present load parameter of all second nodes is obtained
Value, the current overall load parameter of the block chain network are the average value.
Second aspect, the embodiment of the present disclosure provide a kind of block chain point domain triggering system, which divides domain to trigger system
Include:
Module is obtained, for obtaining each second node in block chain network when block chain network is added in first node
Present load parameter；
Computing module calculates the current entirety of block chain network for the present load parameter according to each second node
Load parameter；
Judgment module, for judging whether the current overall load parameter of the block chain network is greater than the touching obtained in advance
Hair divides domain load threshold；
Triggering divides domain module, if judging that the current overall load parameter of block chain network is greater than in advance for judgment module
When the triggering of acquisition divides domain load threshold, triggering divides domain process, completes the addition of first node；If judgment module judges block
When the current overall load parameter of chain network is less than or equal to the triggering point domain load threshold obtained in advance, a point domain is not triggered and is flowed
Journey completes the addition of first node.
In some embodiments, the module that obtains is specifically used for obtaining area from the adjacent second node of the first node
Block chain load information table, the block chain load information table includes node load information table, and the node load information table includes
The present load parameter of each second node.
In some embodiments, the block chain load information table further includes configuration parameter table, the configuration parameter table packet
Include the triggering point domain load threshold.
In some embodiments, the computing module is specifically used for asking the present load parameter of each second node
With；By summed result divided by the total quantity of second node, the average value of the present load parameter of all second nodes is obtained, it is described
The current overall load parameter of block chain network is the average value.
Block chain provided by the embodiment of the present disclosure divides domain triggering method and system, when area is added in first node (new node)
When block chain network, loaded by judging whether the current overall load parameter of block chain network is greater than the triggering point domain obtained in advance
Threshold value effectively avoids single static to decide whether to trigger block chain point domain to realize efficient and rational block chain point domain
Factor is as the problem of dividing irrationality existing for the trigger condition of domain.
Detailed description of the invention
Fig. 1 is a kind of flow chart for block chain point domain triggering method that the embodiment of the present disclosure provides；
Fig. 2 is the structural schematic diagram that system is triggered in a kind of block chain point domain that the embodiment of the present disclosure provides.
Specific embodiment
To make those skilled in the art more fully understand the technical solution of the disclosure, the disclosure is mentioned with reference to the accompanying drawing
The block chain point domain triggering method and system of confession are described in detail.
Fig. 1 is a kind of flow chart for block chain point domain triggering method that the embodiment of the present disclosure provides, as shown in Figure 1, the area
Block chain point domain triggering method includes:
Step 11, when first node be added block chain network when, obtain block chain network in each second node it is current
Load parameter.
Step 12, the present load parameter according to each second node calculate the current overall load ginseng of block chain network
Number.
Step 13 judges whether the current overall load parameter of block chain network is greater than the triggering point domain obtained in advance and loads
Threshold value completes the addition of first node, if it is not, not triggering a point domain process, completes first node if so, triggering divides domain process
It is added.
In the embodiments of the present disclosure, first node is the new node of block chain network, and each second node is block chain network
In existing node, in a step 11, when new node (first node) be added block chain network when, obtain block chain network in
The present load parameter for each node (second node) having.Wherein, the present load parameter of second node refers to second node
Newest load parameter.
In some embodiments, step 11 include: when first node be added block chain network when, it is adjacent from first node
Second node obtains block chain load information table.
In some embodiments, when the adjacent second node of first node is that block chain network is added in first node, for the first time
The node (second node) being connected to.In block chain network, each second node stores and safeguards the area of block chain network
Block chain load information table.
Wherein, block chain load information table includes at least node load information table, and node load information table includes such as lower word
Section: the present load parameter (newest load parameter) of each second node.In some embodiments, node load information table further includes
Following field: the node address of the node ID of each second node and each second node.In the embodiments of the present disclosure, node load
Information table can also include the other information of corresponding second node, will not enumerate herein.
In some embodiments, the present load parameter Node_Load=CPU_Load*W_C+ of the second node
Memory_Load*W_M, wherein Node_Load is the present load parameter of second node, and CPU_Load is working as second node
Preceding CPU average resource, W_C are the corresponding default weight of CPU_Load, and Memory_Load is the current interior of second node
Average resource is deposited, W_M is the corresponding default weight of Memory_Load, W_C, W_M ∈ (0,1), W_C+W_M=1.Its
In, W_C is CPU average resource weight shared in node load, can be according to the CPU of second node to second node
Performance influence degree determine；W_M is memory average resource weight shared in node load, can be according to second
The memory of node determines the influence degree of the performance of second node.It should be noted that the specific value of W_C and W_M can root
It is determined according to actual conditions, the embodiment of the present disclosure is not specifically limited the value of W_C and W_M.
In some embodiments, for each second node in block chain network, which updates every default
Time cycle updates the present load parameter of the second node.Specifically, which passes through above-mentioned formula: Node_Load
=CPU_Load*W_C+Memory_Load*W_M updates the present load parameter of the second node.Wherein, CPU_Load
CPU average resource of two nodes within current preset period renewal time, Memory_Load are second node current
Memory average resource in default period renewal time.In the embodiments of the present disclosure, which is
The second node calculates the time cycle for updating present load parameter, can be configured according to actual needs, and the disclosure is implemented
Example to this with no restriction.
Wherein, CPU_Load (current CPU average resource) can be obtained and be updated according to such as under type: current pre-
If in period renewal time (such as 30 minutes), every default sampling time interval (such as 1 minute), from the node of second node
The resource utilization that CPU is read in machine operating system, owns default period renewal time (such as 30 minutes) interior reading
The resource utilization averaged of CPU obtains CPU_Load of the second node within current preset period renewal time
(CPU average resource).
Similarly, Memory_Load (current memory average resource) can be obtained and be updated according to such as under type:
In current preset period renewal time (such as 30 minutes), every default sampling time interval (such as 1 minute), from second node
Node machine operating system in read the resource utilization of memory, read in default period renewal time (such as 30 minutes)
All memories resource utilization averaged, obtain the second node within current preset period renewal time
Memory_Load (memory average resource).
In some embodiments, for each second node in block chain network, the second node is through the above way
After updating its present load parameter, its present load parameter is updated in the node load information table of second node storage, and
Other second node sending nodes into block chain network load update message in a broadcast manner, in block chain network, receive
Second node to the node load update message of the second node updates according to node load update message the section on this node
Point load information table.
In the embodiments of the present disclosure, block chain load information table further includes configuration parameter table, and configuration parameter table includes triggering
Divide domain load threshold.Optionally, configuration parameter table further includes that each second node calculates the default update for updating present load parameter
The default sampling time interval of the resource utilization of the resource utilization and memory of the CPU of time cycle and each second node.
In some embodiments, step 12 includes:
Step 111 sums the present load parameter of each second node, obtains summed result.
Step 112, by summed result divided by the total quantity of second node, obtain the present load parameter of all second nodes
Average value, the current overall load parameter of block chain network is the average value.
For example, the total quantity of second node is 5 in block chain network, the present load parameter point of 5 second nodes
Not Wei A, B, C, D, F, the present load parameter of each second node is summed, summed result A+B+C+D+F is obtained, will be summed
As a result for A+B+C+D+F divided by the total quantity 5 of second node, the current overall load parameter for obtaining block chain network is (A+B+C+D
+F)/5。
In step 13, if judging, the current overall load parameter of block chain network is greater than the triggering point domain obtained in advance
When load threshold, triggering divides domain process, divides domain message to first node and the transmission of each second node in the form of broadcast, completes to divide
Domain process, first node are successfully joined in block chain network.If judging, the current overall load parameter of block chain network is less than
Or when equal to the triggering point domain load threshold obtained in advance, a point domain process is not triggered, first node is successfully joined block chain network
In.After block chain network is added, first node becomes second node, when there is new node that block chain network is added, repeats
Above-mentioned steps 11 are executed to step 13.
In the embodiments of the present disclosure, a triggering point domain load threshold can be configured according to the actual situation, the embodiment of the present disclosure
With no restriction to this.
In some embodiments, a point domain process includes:
1, all second nodes in block chain network are assigned in two different domains according to preset point of domain rule.
For example, preset point of domain rule include: by all second nodes of block chain network according to node ID from it is small to
Node ID is come preceding 1/2 second node as the first home domain, node ID is come to rear 1/2 node by big sequence
As the second home domain.
2, first node (new node) is added in a domain in above-mentioned two not same area.
Specifically, first node (new node) is added in the first home domain or the second home domain.
In the embodiments of the present disclosure, it is determined by the dynamic load of calculation block chain network (current overall load parameter)
Whether triggering divides domain, using the CPU average resource of each second node and memory average resource as calculation block
The parameter of the dynamic load of chain network judges that the dynamic load of block chain network is horizontal when block chain network is added in new node,
And then decide whether to trigger point domain, to realize efficient and rational block chain point domain, effectively avoids single static factor from being used as and divide
The problem of irrationality existing for the trigger condition of domain.
Block chain provided by the embodiment of the present disclosure divides in the technical solution of domain triggering method, when first node (new node)
When block chain network is added, by judging whether the current overall load parameter of block chain network is greater than the triggering obtained in advance point
Domain load threshold effectively avoids list to decide whether to trigger block chain point domain to realize efficient and rational block chain point domain
One Static implicit method is as the problem of dividing irrationality existing for the trigger condition of domain.
Fig. 2 is the structural schematic diagram that system is triggered in a kind of block chain point domain that the embodiment of the present disclosure provides, as shown in Fig. 2,
Block chain point domain triggering system includes obtaining module 21, computing module 22, judgment module 23 and triggering to divide domain module 24.
Wherein, module 21 is obtained to be used to obtain each the in block chain network when block chain network is added in first node
The present load parameter of two nodes.
Computing module 22 is used for the present load parameter according to each second node, calculates the current entirety of block chain network
Load parameter.
Judgment module 23 is used to judge whether the current overall load parameter of the block chain network to be greater than and obtains in advance
Triggering divides domain load threshold.
If triggering point domain module 24 judges that the current overall load parameter of block chain network is greater than for judgment module 23
When the triggering point domain load threshold obtained in advance, triggering divides domain process, completes the addition of first node；If judgment module 23 judges
When the current overall load parameter of block chain network is less than or equal to the triggering point domain load threshold obtained in advance out, do not trigger point
Domain process completes the addition of first node.
In some embodiments, module 21 is obtained to be specifically used for obtaining block from the adjacent second node of the first node
Chain load information table, the block chain load information table includes node load information table, and the node load information table includes each
The present load parameter of second node.
In some embodiments, block chain load information table further includes configuration parameter table, and the configuration parameter table includes institute
State triggering point domain load threshold.
In some embodiments, computing module 22 is specifically used for summing the present load parameter of each second node；
By summed result divided by the total quantity of second node, the average value of the present load parameter of all second nodes, the area are obtained
The current overall load parameter of block chain network is the average value.
In addition, the triggering system of block chain point domain provided by the embodiment of the present disclosure is specifically used for realizing that aforementioned block chain divides domain
Triggering method, for details, reference can be made to the descriptions that aforementioned block chain divides domain triggering method, and details are not described herein again.
It is understood that the principle that embodiment of above is intended to be merely illustrative of the present and the exemplary implementation that uses
Mode, however the present invention is not limited thereto.For those skilled in the art, essence of the invention is not being departed from
In the case where mind and essence, various changes and modifications can be made therein, these variations and modifications are also considered as protection scope of the present invention.
Claims (10)
1. a kind of block chain divides domain triggering method characterized by comprising
When block chain network is added in first node, the present load parameter of each second node in block chain network is obtained；
According to the present load parameter of each second node, the current overall load parameter of block chain network is calculated；
Judge whether the current overall load parameter of the block chain network is greater than the triggering point domain load threshold obtained in advance；
If judge that the current overall load parameter of block chain network is greater than the triggering point domain load threshold obtained in advance, triggering
Divide domain process, completes the addition of first node；
If judging, the current overall load parameter of block chain network is less than or equal to the triggering point domain load threshold obtained in advance
When, a point domain process is not triggered, completes the addition of first node.
2. block chain according to claim 1 divides domain triggering method, which is characterized in that in the acquisition block chain network
The present load parameter of each second node includes:
The second node adjacent from the first node obtains block chain load information table, and the block chain load information table includes
Node load information table, the node load information table include the present load parameter of each second node.
3. block chain according to claim 2 divides domain triggering method, which is characterized in that the block chain load information table is also
Including configuration parameter table, the configuration parameter table includes the triggering point domain load threshold.
4. block chain according to claim 2 divides domain triggering method, which is characterized in that the node load information table also wraps
Include the node ID of each second node and the node address of each second node.
5. block chain according to claim 1 divides domain triggering method, which is characterized in that the present load parameter of second node
Node_Load=CPU_Load*W_C+Memory_Load*W_M, wherein Node_Load is that the present load of second node is joined
Number, CPU_Load are the current CPU average resource of second node, and W_C is the corresponding default weight of CPU_Load,
Memory_Load is the current memory average resource of second node, and W_M is the corresponding default weight of Memory_Load,
W_C, W_M ∈ (0,1), W_C+W_M=1.
6. block chain according to claim 1 divides domain triggering method, which is characterized in that the working as according to each second node
Preceding load parameter, the current overall load parameter for calculating block chain network include:
The present load parameter of each second node is summed；
By summed result divided by the total quantity of second node, the average value of the present load parameter of all second nodes, institute are obtained
The current overall load parameter for stating block chain network is the average value.
7. a kind of block chain divides domain to trigger system characterized by comprising
Module is obtained, for obtaining working as each second node in block chain network when block chain network is added in first node
Preceding load parameter；
Computing module calculates the current overall load of block chain network for the present load parameter according to each second node
Parameter；
Judgment module, for judging whether the current overall load parameter of the block chain network is greater than the triggering obtained in advance point
Domain load threshold；
Triggering divides domain module, obtains in advance if judging that the current overall load parameter of block chain network is greater than for judgment module
Triggering when dividing domain load threshold, triggering divides domain process, completes the addition of first node；If judgment module judges block link network
When the current overall load parameter of network is less than or equal to the triggering point domain load threshold obtained in advance, a point domain process is not triggered, it is complete
At the addition of first node.
8. block chain according to claim 7 divide domain trigger system, which is characterized in that the acquisitions module specifically for from
The adjacent second node of the first node obtains block chain load information table, and the block chain load information table includes that node is negative
Information table is carried, the node load information table includes the present load parameter of each second node.
9. block chain according to claim 8 divides domain to trigger system, which is characterized in that the block chain load information table is also
Including configuration parameter table, the configuration parameter table includes the triggering point domain load threshold.
10. block chain according to claim 7 divides domain to trigger system, which is characterized in that the computing module is specifically used for
The present load parameter of each second node is summed；By summed result divided by the total quantity of second node, all are obtained
The average value of the present load parameter of two nodes, the current overall load parameter of the block chain network are the average value.
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