CN106506203B - Node monitoring system applied to block chain - Google Patents
Node monitoring system applied to block chain Download PDFInfo
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- CN106506203B CN106506203B CN201610933240.6A CN201610933240A CN106506203B CN 106506203 B CN106506203 B CN 106506203B CN 201610933240 A CN201610933240 A CN 201610933240A CN 106506203 B CN106506203 B CN 106506203B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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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
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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
- H04L43/50—Testing arrangements
Abstract
The invention discloses a node monitoring system applied to a block chain, which comprises a monitoring unit of the block chain node and a monitoring program independent of the block chain node, wherein the monitoring unit comprises a network monitoring module, a block chain monitoring module, a behavior monitoring module, a state monitoring module and a log monitoring module. The monitoring system monitors the nodes by using the monitoring units arranged on each node, collects monitoring data, finds the abnormity of the block chain nodes, reduces the influence caused by the abnormity, further highlights the abnormal nodes by using the monitoring processing module, rapidly analyzes and positions the positions and reasons of the abnormal nodes by using the collected data, and processes and controls the abnormity; the invention can be widely applied to node monitoring of public chains, alliance chains and private chains, and is particularly suitable for alliance chains and private chains.
Description
Technical Field
the invention belongs to the technical field of block chains, and particularly relates to a node monitoring system applied to a block chain.
Background
In the actual use process, various abnormal conditions can occur to the block link points. For example, a hacker attacks, which continuously establishes and disconnects connections, causes a large amount of resources of the attacked block link point to be consumed on the connection, and the efficiency of the block link point is reduced or even the block link point cannot normally work, thereby affecting the efficiency and safety of the whole block chain.
The public link network has a large number of block link nodes, and when an abnormal condition occurs in a certain node, the influence on the whole block link network may be slight. However, for the federation chain and the private chain, each blockchain node is important, and the influence caused by the abnormality of any one node mainly has two aspects: 1) the performance and the safety of the alliance chain or the private chain where the node is located are influenced; 2) the owner of the blockchain node cannot normally acquire the data of the alliance chain or the private chain and participate in the work of the alliance chain or the private chain.
For the problem caused by the abnormal node of the block chain, the block chain needs a method for monitoring the node, which can timely discover the problem and reason of each node, timely inform the owner of the node of the block chain to intervene, and reduce the influence caused by the problem.
Disclosure of Invention
in view of the above, the present invention provides a node monitoring system applied to a blockchain, which is capable of discovering an anomaly of a blockchain node and reducing an impact caused by the anomaly.
a node monitoring system applied to a block chain comprises monitoring units arranged on each block chain link point and a monitoring processing module arranged on an upper computer; all the block chain nodes are connected to the monitoring processing module, the monitoring processing module obtains the monitoring data of each node monitoring unit through an Application Programming Interface (API), displays the monitoring data in a graphical mode, highlights abnormal nodes, and quickly analyzes and positions the positions and reasons of the abnormal nodes through the collected monitoring data.
The monitoring unit comprises:
The network monitoring module is used for monitoring TCP connections (the TCP connections do not complete identity authentication between the nodes), UDP connections and connected neighbors (Peer) established between the blockchain node and other nodes in the same blockchain network;
The block chain monitoring module is used for monitoring and collecting information of the whole block chain from the block chain node, wherein the information comprises the block number, the block generation speed, the transaction number, the contract number and the pending/queued transaction number;
The behavior monitoring module is used for monitoring the behaviors of the local blockchain node, wherein the behaviors comprise initiating a transaction or contract, verifying the transaction or contract, generating a block, starting or closing certain services, establishing or disconnecting a connection and discovering a neighbor by the local blockchain node;
The state monitoring module is used for monitoring the states of the local blockchain nodes, wherein the states comprise the running time and the network state of the local blockchain nodes and the results of the automatic node testing;
And the log monitoring module is used for monitoring the logs of the local block chain node.
And the network monitoring module also monitors and counts errors on each TCP connection, and when the number of errors on a certain TCP connection reaches a certain threshold value within a certain time, the node corresponding to the TCP connection is added into a node blacklist.
The network monitoring module also monitors errors on each neighbor, judges the type of the errors, if the errors on a certain neighbor do not result in disconnecting the neighbor, retains the neighbor, and counts the errors; otherwise, disconnecting the neighbor and counting errors; and when the error number of a certain neighbor reaches a certain threshold value, adding the node corresponding to the neighbor into a node blacklist.
Forbidden nodes are stored in the node blacklist, each node in the blacklist has timeliness, and after a certain time, the node is removed from the blacklist; the node blacklist is used for preventing malicious connection and has the following functions of a) enabling the block chain node not to initiate connection to the node in the blacklist; b) and the node of the block chain forbids the connection initiated by the node in the blacklist.
The neighbor is TCP connection which is established between the node of the block chain and other nodes in the same block chain network and has finished identity authentication between the nodes.
The behaviors monitored by the behavior monitoring module are recorded into a behavior record table together with the time stamp for subsequent use.
The automatic testing of the nodes is a set of programs which are used for carrying out some basic tests on the chain link points of the blocks so as to ensure the normal operation of the nodes.
the monitoring processing module establishes TCP connection with each block link point, and acquires monitoring data of each node monitoring unit through a node API.
the monitoring processing module obtains detailed information about the blockchain nodes, the blocks, the transactions and the contracts through a node API.
The node API is realized through JSON RPC or RESTful.
The monitoring system monitors the nodes by using the monitoring units arranged on each node, collects monitoring data, finds the abnormity of the block chain nodes, reduces the influence caused by the abnormity, further highlights the abnormal nodes by using the monitoring processing module, rapidly analyzes and positions the positions and reasons of the abnormal nodes by using the collected data, and processes and controls the abnormity; the invention can be widely applied to node monitoring of public chains, alliance chains and private chains, and is particularly suitable for alliance chains and private chains.
Drawings
Fig. 1 is a schematic diagram of a TCP connection monitoring process of a network monitoring module.
Fig. 2 is a schematic diagram of a neighbor (Peer) monitoring process of a network monitoring module.
Fig. 3(a) is a schematic diagram illustrating a flow of using a blacklist in a dialing process of a network monitoring module.
fig. 3(b) is a schematic diagram illustrating a flow of using the blacklist by the network monitoring module in the process of receiving a new TCP connection by the node.
fig. 4 is a schematic flow chart of the block chain monitoring module for updating real-time data.
Fig. 5 is a schematic view of a behavior monitoring flow of the behavior monitoring module.
Fig. 6 is a schematic diagram of a block link point automated testing process of the status monitoring module.
Fig. 7 is a schematic diagram of the block link node monitor program accessing the node monitor module through the API to collect data.
Detailed Description
In order to more specifically describe the present invention, the following detailed description is provided for the technical solution of the present invention with reference to the accompanying drawings and the specific embodiments.
The node monitoring system comprises a monitoring unit of the blockchain node and a monitoring program independent of the blockchain node (namely, the monitoring program is realized by a monitoring processing module on an upper computer). The monitoring unit is a part of a block link point and is realized by the following 5 sub-modules: the system comprises a network monitoring module, a block chain monitoring module, a behavior monitoring module, a state monitoring module and a log monitoring module; wherein:
After the blockchain node is started, the network monitoring module is started and connected to the blockchain node monitoring program. The network monitoring module is responsible for monitoring unverified TCP connections and neighbors (peers) and handling errors on these connections: 1) as shown in fig. 1, when a TCP connection is received, performing authentication and encryption verification, if an error occurs during the process, recording a remote node corresponding to the connection and time of the error, then counting the number of errors of the remote node within 5 minutes, if the number of errors is greater than a threshold maxtcporrsrs count, adding the remote node into a node blacklist, setting timeout time of the remote node in the node blacklist, and then disconnecting the erroneous connection, otherwise, directly disconnecting the erroneous connection; if no error occurs, the neighbor connection is obtained. 2) As shown in fig. 2, the monitoring and processing of the error on the neighbor connection is similar to the error processing of the unverified TCP connection, except that when the number of errors in 5 minutes is less than or equal to maxpeerrorcount, the type of the error is further determined, and if the error does not break the neighbor connection, the neighbor connection is maintained, so as to avoid reducing the consensus efficiency.
the blockchain node will actively connect to other nodes of the same network, known and discovered, which will join the dial-up list. The use of blacklists during dialing is shown in figure 3 (a). When the dialed remote node is in the blacklist, the remote node is directly skipped over, and connection with a malicious node is avoided. Meanwhile, active connection of malicious nodes is also required to be avoided, and fig. 3(b) shows that a new TCP connection is received by a node, if a connected remote node is in a node blacklist, the connection is a malicious connection, and is disconnected, otherwise, a connection identity and encryption verification stage is entered.
The blockchain node monitoring program can acquire data such as all current TCP connections and neighbors (Peer) and a current node blacklist through a blockchain node API.
The blockchain monitoring module is responsible for collecting the number of tiles, the new tile generation speed, the average tile generation speed, the number of transactions, the number of contracts, the number of pending/queued transactions, etc. The block number and the pending/queued transaction number can be directly read by calling a block chain API, and the new block generation speed and the average block generation speed can be calculated by using the following formulas:
New block generation speed 1/(t h -t h-1)
The meaning of each parameter is as follows:
t h time of New Block Generation
t h-1 time of last block generation of new block
v i New Block Generation speed of Block i
h: latest block number
h 0 first Block generated after Start
The transaction amount and the contract amount are a cumulative result and cannot be directly read through the interface. The transaction and contract amounts need to be updated each time a new block is created. FIG. 4 illustrates a method flow of maintaining updated transaction and contract amounts and new block generation speed and average block generation speed. After the blockchain monitoring module is started, the existing transaction and contract quantity is calculated, and then the transaction and contract quantity, the new block generation speed and the average block generation speed are updated after the blocks are generated. The blockchain node monitoring program can read the collected data by using the blockchain node API.
The behavior monitoring module is responsible for monitoring the behavior of the blockchain node, and all the node behaviors are monitored and recorded, such as the behaviors of initiating a transaction or contract, verifying the transaction or contract, generating a block, starting or closing certain services, establishing or disconnecting a connection, discovering neighbors and the like of the blockchain node. Fig. 5 shows a behavior monitoring flow of the behavior monitoring module, and each time a new behavior occurs, the time when the behavior occurs is obtained and is written into the behavior record table. And if the behavior is to close the node, closing the behavior monitoring module.
the blockchain link point monitor may obtain the behavior record table data through a blockchain node API. The API may provide a variety of ways to obtain behavioral data. For example, the current behavior may be a plurality of specified latest behaviors, a behavior within a certain time, or all behaviors. In order to reduce the resource occupation of the blockchain node, the whole behavior record table can be obtained through the API, and the above filtering operation can also be performed by the blockchain node monitoring program.
The state monitoring module is responsible for monitoring state information of the block chain node, such as the running time of the block chain node, the network state and the node automation test result. Fig. 6 shows the block chain node automatic test of the state monitoring module, after the state monitoring module is started, the block chain node automatic test is periodically run, a test report is generated, an automatic test result is recorded, and a brief test report is submitted to the block chain node monitoring program. If the automatic test has problems, the abnormal node is proved to be abnormal and can not work normally, the test period is adjusted to 10 minutes, namely, after 10 minutes, the test is carried out again. If the test is passed completely, the test period is adjusted to 1 hour, i.e. the test is repeated after 1 hour. After each test, the failure time is updated.
The blockchain node monitoring program can obtain a detailed test report of each automated test through the blockchain node API. And an automatic test command can be sent to the block chain link points to carry out automatic test and obtain the latest automatic test result.
The log monitoring module is responsible for monitoring the logs of the block chain nodes, checking whether the logs exist in the block chain link points or not, and providing the logs by the log monitoring module when the block chain link point monitoring program obtains the node logs.
As shown in fig. 7, the block link point monitoring program establishes TCP connection with each block link point, acquires all data of the block link point monitoring module through the API, displays the data in a graphical manner, can highlight abnormal nodes, and quickly analyzes and locates the positions and reasons of the abnormal nodes through the collected data; while the monitor also provides some ancillary functions, using the node API to obtain detailed information about nodes, blocks, transactions, contracts, etc.
The embodiments described above are presented to enable a person having ordinary skill in the art to make and use the invention. It will be readily apparent to those skilled in the art that various modifications to the above-described embodiments may be made, and the generic principles defined herein may be applied to other embodiments without the use of inventive faculty. Therefore, the present invention is not limited to the above embodiments, and those skilled in the art should make improvements and modifications to the present invention based on the disclosure of the present invention within the protection scope of the present invention.
Claims (2)
1. A node monitoring system applied to a block chain is characterized in that: the monitoring unit is arranged on each block chain link point, and the monitoring processing module is arranged on the upper computer; all the block chain nodes are connected to the monitoring processing module, the monitoring processing module acquires monitoring data of each node monitoring unit through a node API (application program interface), displays the monitoring data in a graphical mode, highlights abnormal nodes and quickly analyzes and positions the positions and reasons of the abnormal nodes through the collected monitoring data;
The monitoring unit comprises:
The network monitoring module is used for monitoring TCP connection, UDP connection and connected neighbors established between the block chain node and other nodes in the same block chain network;
the block chain monitoring module is used for monitoring and collecting information of the whole block chain from the block chain node, wherein the information comprises the block number, the block generation speed, the transaction number, the contract number and the pending/queued transaction number;
The behavior monitoring module is used for monitoring the behaviors of the local blockchain node, wherein the behaviors comprise initiating a transaction or contract, verifying the transaction or contract, generating a block, starting or closing certain services, establishing or disconnecting a connection and discovering a neighbor by the local blockchain node;
the state monitoring module is used for monitoring the states of the local blockchain nodes, wherein the states comprise the running time and the network state of the local blockchain nodes and the results of the automatic node testing;
the log monitoring module is used for monitoring the logs of the local block chain node;
The network monitoring module also monitors and counts errors on each TCP connection, and when the number of errors on a certain TCP connection reaches a certain threshold value within a certain time, the node corresponding to the TCP connection is added into a node blacklist;
the network monitoring module also monitors errors on each neighbor, judges the type of the errors, if the errors on a certain neighbor do not result in disconnecting the neighbor, retains the neighbor, and counts the errors; otherwise, disconnecting the neighbor and counting errors; when the number of errors on a certain neighbor reaches a certain threshold value, adding a node corresponding to the neighbor into a node blacklist;
Forbidden nodes are stored in the node blacklist, each node in the blacklist has timeliness, and after a certain time, the node is removed from the blacklist; the node blacklist is used for preventing malicious connection and has the following functions of a) enabling the block chain node not to initiate connection to the node in the blacklist; b) the block chain node forbids the connection initiated by the node in the blacklist;
the neighbor is a TCP connection which is established between the node of the block chain and other nodes in the same block chain network and has finished the identity authentication between the nodes;
the behaviors monitored by the behavior monitoring module are recorded into a behavior recording table together with the time stamp for subsequent use;
the automatic testing of the nodes is a group of programs which are used for carrying out some basic tests on the block chain link points so as to ensure the normal operation of the nodes;
the monitoring processing module establishes TCP connection with each block link point, and acquires monitoring data of each node monitoring unit through a node API.
2. the node monitoring system of claim 1, wherein: the monitoring processing module obtains detailed information about the blockchain nodes, the blocks, the transactions and the contracts through a node API.
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| US11947564B2 (en) | 2017-07-14 | 2024-04-02 | Advanced New Technologies Co., Ltd. | Blockchain-based data processing method and device |
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