CN114024850A - Method for accelerating operation of edge node by optimizing node communication - Google Patents
Method for accelerating operation of edge node by optimizing node communication Download PDFInfo
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Abstract
The invention relates to the technical field of block chains, and discloses a method for accelerating operation of edge nodes by optimizing node communication, which comprises a server, wherein the server stores block chain data and is interconnected with at least one edge node, the edge node is communicated with at least one acquisition node, an edge processor acquires data information from the edge acquisition node, a high-compression block is formed in the edge processor and can compress the data information acquired by the edge node, and the edge processor stores the data information into the edge node in a compression format, so that one-time transmission is facilitated. A method for accelerating operation of edge nodes by optimizing node communication enables calculation of edge points to be integrated with core capabilities of networks, calculation, storage and application through optimization of block nodes, can make up for defects in existing edge point signal acquisition and processing, and can solve the problems that communication is slow, and data cannot be normally acquired due to limitation of network conditions.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a method for accelerating operation of edge nodes by optimizing node communication.
Background
The edge calculation integrates core capabilities of network, calculation, storage and application, can make up for the defects of the existing sensor system of the Internet of things in sensor signal acquisition and processing, and can solve the problems of high real-time performance and poor Internet service quality of the sensor system of the Internet of things. The edge calculation fully utilizes the embedded computing capability of the object side, realizes the intelligence and autonomy of the object side in a distributed information processing mode, and is combined with the cloud side to realize the intelligent operation of the sensor system.
With the rapid development of information technology and internet of things technology, data becomes an important factor influencing the upgrading and reconstruction of the industry, millions of mass mobile application programs on the market gradually become an indispensable part of the daily life of people, and the application programs play more and more important roles in the fields of social life, information transmission and the like from entertainment consumption to daily communication.
In the current stage of the block chain environment data acquisition system, data acquisition is formed by a plurality of types of control equipment, sensor equipment and execution equipment, the position layout is dispersed, the signal acquisition nodes are numerous and do not have data storage and conversion capacity, the distance between the nodes in the edge of a block chain and the rest nodes is long, the communication speed is slow, and the communication preference of the rest nodes is not good, if all the data acquired by the nodes are uploaded to a block chain cluster, the data cannot be normally acquired due to the limitation of network conditions, the network load is greatly increased, the processing of acquisition, analysis, storage and the like of the block chain data is difficult, and the network pressure is increased.
Disclosure of Invention
The invention provides a method for accelerating the operation of edge nodes by optimizing node communication, which has the advantage of relieving network pressure by accelerating the operation of the edge nodes and solves the problems in the background technology.
The invention provides the following technical scheme: a method for accelerating operation of edge nodes by optimizing node communication comprises a server, wherein the server stores block chain data and interconnects at least one edge node, the edge node is communicated with at least one acquisition node, an edge processor acquires data information from the edge acquisition node, a high-compression block is formed in the edge processor and can compress the data information acquired by the edge node, and the edge processor stores the data information into the edge node in a compression format, so that one-time transmission is facilitated;
the inventive method comprises the following steps:
s1, constructing an interconnection system according to the system architecture, and enabling the edge node to communicate with a server through a wireless network;
s2, segmenting in sequence according to address intervals (such as A1, A2 and A3 and corresponding servers) in a plurality of edge nodes, and placing the edge nodes with digital information into corresponding sub-blocks according to the address intervals in a segmented manner;
s3, creating highly compressed block intervals in the same address interval segment, and communicating between network nodes of the same address interval segment where the highly compressed block intervals are located;
s4, compressing the node data information in the highly compressed interval, wherein in the highly compressed node data information set B, the part exceeding the individual compression height is put into a waiting set C to be processed, and at the moment, the newly acquired data information of the edge node is put into a set D;
s5, merging and compressing a plurality of data to be compressed (set B and set D) in the same segment into a highly compressed block interval;
s6, merging the data information in the highly compressed block intervals in the same address interval segment into a single piece, and sending the single piece of data information to the edge node;
s7, the edge node decompresses and applies the highly compressed data.
Preferably, the system establishes a communication connection with a target edge node after being started, and when the system is started, the system sends a node allocation request to a start node of the system and receives node allocation information fed back by the start node, wherein the node allocation information indicates the start node to select the target edge node from an edge node server cluster based on a predetermined node selection strategy, and the terminal device establishes a long connection with the target edge node.
Preferably, a highly compressed block interval is established in the interval where the target edge node is located, the highly compressed block interval is merged with a plurality of edge nodes in the interval, the maximum merging parameter is set, the data information exceeding the merging parameter is placed in the area to be processed, and the data information of the newly added edge node is waited to be input and merged.
Preferably, the high compression interval in the same interval is subjected to merging and compression processing, and the compressed high compression block interval establishes communication with the target edge node in the same interval and transmits the communication to the target edge node at one time.
Preferably, after the target edge point establishes long connection communication with the system, the system gives the decompression function to the target edge point, and the target edge point with the decompression function decompresses and applies the compressed data in the high decompression block interval.
Preferably, when the target edge point stores compressed data, in order to overcome the limitation of writing speed, the target edge point can be circularly and sequentially written into multiple systems according to the block sequence, the corresponding relation between the block height of the block chain and the server is used as metadata, and when the target edge point is applied, only the edge point with the metadata needs to be accessed for application.
The invention has the following beneficial effects:
according to the method for accelerating the operation of the edge node by optimizing the node communication, the core capabilities of network, calculation, storage and application are integrated in the calculation of the edge point through the optimization of the block node, the defects of the existing edge point signal acquisition and processing can be overcome, and the problems that the communication is slow, and data cannot be normally acquired due to the limitation of network conditions can be solved.
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FIG. 1 is a schematic diagram of the process flow structure of 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.
FIG. 1 is a flow chart of the present invention.
Referring to fig. 1, a method for accelerating operation of an edge node by optimizing node communication includes a server, where the server stores block chain data and interconnects at least one edge node, the edge node communicates with at least one collection node, an edge processor collects data information from the edge collection node, a high compression block is formed in the edge processor and can compress data information collected by the edge node, and the edge processor stores the data information in the edge node in a compressed format, which facilitates one-time transmission;
the method comprises the following steps:
s1, constructing an interconnection system according to the system architecture, and enabling the edge node to communicate with a server through a wireless network;
s2, segmenting in sequence according to address intervals (such as A1, A2 and A3 and corresponding servers) in a plurality of edge nodes, and placing the edge nodes with digital information into corresponding sub-blocks according to the address intervals in a segmented manner;
s3, creating highly compressed block intervals in the same address interval segment, and communicating between network nodes of the same address interval segment where the highly compressed block intervals are located;
s4, compressing the node data information in the highly compressed interval, wherein in the highly compressed node data information set B, the part exceeding the individual compression height is put into a waiting set C to be processed, and at the moment, the newly acquired data information of the edge node is put into a set D;
s5, merging and compressing a plurality of data to be compressed (set B and set D) in the same segment into a highly compressed block interval;
s6, merging the data information in the highly compressed block intervals in the same address interval segment into a single piece, and sending the single piece of data information to the edge node;
s7, the edge node decompresses and applies the highly compressed data.
After the system is started, establishing communication connection with a target edge point node, when the system is started, sending a node distribution request to a starting node of the system, receiving node distribution information fed back by the starting node, wherein the node distribution information indicates the starting node to select the target edge node from an edge node server cluster based on a preset node selection strategy, and establishing long connection between the terminal equipment and the target edge node;
establishing a highly compressed block interval in the interval of the target edge node, merging a plurality of edge nodes in the interval, setting a maximum merging parameter, placing data information exceeding the merging parameter into a to-be-processed area, and waiting for the input and merging of data information of a newly-added edge node;
carrying out merging compression processing in the highly compressed interval in the same interval, establishing communication between the highly compressed block interval and a target edge node in the same interval after compression, and transmitting the highly compressed block interval to the target edge node at one time;
after the target edge point establishes long connection communication with the system, the system endows the decompression function of the target edge point, and the target edge point with the decompression function decompresses and applies the compressed data in the high decompression block interval;
when the target edge point stores compressed data, in order to overcome the limitation of writing speed, writing can be circularly and sequentially performed on multiple systems according to the block sequence, the corresponding relation between the block height of the block chain and the server is used as metadata, and when the metadata is applied, only the edge point with the metadata needs to be accessed for application.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A method for accelerating operation of an edge node by optimizing node communications, comprising: the server stores block chain data and is interconnected with at least one edge node, the edge node is communicated with at least one acquisition node, the edge processor acquires data information from the edge acquisition node, a high-compression block is formed in the edge processor and can compress the data information acquired by the edge node, and the edge processor stores the data information into the edge node in a compression format so as to facilitate one-time transmission;
the inventive method comprises the following steps:
s1, constructing an interconnection system according to the system architecture, and enabling the edge node to communicate with a server through a wireless network;
s2, segmenting in sequence according to address intervals (such as A1, A2 and A3 and corresponding servers) in a plurality of edge nodes, and placing the edge nodes with digital information into corresponding sub-blocks according to the address intervals in a segmented manner;
s3, creating highly compressed block intervals in the same address interval segment, and communicating between network nodes of the same address interval segment where the highly compressed block intervals are located;
s4, compressing the node data information in the highly compressed interval, wherein in the highly compressed node data information set B, the part exceeding the individual compression height is put into a waiting set C to be processed, and at the moment, the newly acquired data information of the edge node is put into a set D;
s5, merging and compressing a plurality of data to be compressed (set B and set D) in the same segment into a highly compressed block interval;
s6, merging the data information in the highly compressed block intervals in the same address interval segment into a single piece, and sending the single piece of data information to the edge node;
s7, the edge node decompresses and applies the highly compressed data.
2. The method of claim 1, wherein the method comprises the steps of: the system establishes communication connection with a target edge point node after being started, and when the system is started, the system sends a node distribution request to a starting node of the system and receives node distribution information fed back by the starting node, wherein the node distribution information indicates the starting node to select the target edge node from an edge node server cluster based on a preset node selection strategy, and the terminal equipment is in long connection with the target edge node.
3. The method of claim 1, wherein the method comprises the steps of: and establishing a highly compressed block interval in the interval where the target edge node is positioned, merging the highly compressed block interval with a plurality of edge nodes in the interval, setting a maximum merging parameter, placing the data information exceeding the merging parameter into a to-be-processed area, and waiting for the input and merging of the data information of the newly-added edge node.
4. The method of claim 1, wherein the method comprises the steps of: and carrying out merging and compressing treatment in the highly compressed interval in the same interval, establishing communication between the highly compressed block interval after compression and a target edge node in the same interval, and transmitting the highly compressed block interval to the target edge node at one time.
5. The method of claim 1, wherein the method comprises the steps of: after the target edge point establishes long connection communication with the system, the system endows the decompression function of the target edge point, and the target edge point with the decompression function decompresses and applies the compressed data in the high decompression block interval.
6. The method of claim 1, wherein the method comprises the steps of: when the target edge point stores compressed data, in order to overcome the limitation of writing speed, writing can be circularly and sequentially performed on a plurality of systems according to a block sequence, the corresponding relation between the block height of a block chain and a server is used as metadata, and when the target edge point is applied, only the edge point with the metadata needs to be accessed for application.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107249046A (en) * | 2017-08-15 | 2017-10-13 | 李俊庄 | A kind of distributed cloud storage system construction method based on block chain |
| CN109189327A (en) * | 2018-07-27 | 2019-01-11 | 阿里巴巴集团控股有限公司 | The compression processing method and device of block chain data |
| WO2020030527A1 (en) * | 2018-08-07 | 2020-02-13 | Signify Holding B.V. | Systems and methods for optimizing compression and reconstruction of sensor data in distributed computing networks |
| CN111612393A (en) * | 2020-04-16 | 2020-09-01 | 南京邮电大学 | Medicine supply chain management system and method based on block chain and edge calculation |
| KR102153673B1 (en) * | 2019-12-18 | 2020-09-08 | 제주대학교 산학협력단 | Method, system and recordable medium for storing and transmission processing of intelligent CCTV video data using the edge blockchain |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107249046A (en) * | 2017-08-15 | 2017-10-13 | 李俊庄 | A kind of distributed cloud storage system construction method based on block chain |
| CN109189327A (en) * | 2018-07-27 | 2019-01-11 | 阿里巴巴集团控股有限公司 | The compression processing method and device of block chain data |
| WO2020030527A1 (en) * | 2018-08-07 | 2020-02-13 | Signify Holding B.V. | Systems and methods for optimizing compression and reconstruction of sensor data in distributed computing networks |
| KR102153673B1 (en) * | 2019-12-18 | 2020-09-08 | 제주대학교 산학협력단 | Method, system and recordable medium for storing and transmission processing of intelligent CCTV video data using the edge blockchain |
| CN111612393A (en) * | 2020-04-16 | 2020-09-01 | 南京邮电大学 | Medicine supply chain management system and method based on block chain and edge calculation |
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