CN115842784A - Multi-node adjusting method for ultra-large data volume transmission - Google Patents
Multi-node adjusting method for ultra-large data volume transmission Download PDFInfo
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Abstract
The invention relates to the field of data exchange, in particular to a multi-node adjusting method for ultra-large data volume transmission, which comprises the following steps: s1, classifying by using a data exchange node to obtain a data exchange dynamic classification basic node; s2, carrying out differentiation processing based on real-time data exchange quantity according to the data exchange dynamic classification basic node to obtain a data exchange dynamic classification node; and S3, performing data exchange processing by using the data exchange dynamic classification nodes, meeting the requirement of real-time data volume change corresponding adjustment node types, meanwhile, setting redundant nodes, performing multi-node shunting on suddenly increased data streams, iterating a node processing mode in an adjustment process, being applicable to conditions of node increase or node decrease and the like, providing a solution method for transmission and exchange of large data volume, and having wide applicable range and better practicability.
Description
Technical Field
The invention relates to the field of data exchange, in particular to a multi-node adjusting method for ultra-large data volume transmission.
Background
In multi-node data transmission, the classification of nodes is unclear, or node congestion caused by an oversized data flow is caused, and the oversized data volume is defined as data of hundreds of thousands of lines or more, or data volume of hundreds of GB (gigabyte) level or even larger.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a multi-node adjusting method for ultra-large data volume transmission, which adjusts the data transmission speed by classifying and adjusting multiple nodes according to the real-time data volume and relieves the node blockage when the ultra-large data volume is generated.
In order to achieve the above object, the present invention provides a multi-node adjusting method for ultra-large data volume transmission, comprising:
s1, classifying by using a data exchange node to obtain a data exchange dynamic classification basic node;
s2, carrying out differentiation processing based on real-time data exchange amount according to the data exchange dynamic classification basic node to obtain a data exchange dynamic classification node;
and S3, performing data exchange processing by using the data exchange dynamic classification node.
Preferably, the obtaining of the data exchange dynamic classification base node by using the data exchange node for classification processing includes:
calculating the average value of the data exchange quantity of each data exchange node at the previous moment as a dynamic classification basic threshold value by using the data exchange quantity of the data exchange node;
judging whether the data exchange amount of the data exchange node is larger than a dynamic classification basic threshold value, if so, using the data exchange node as a high-flow node, otherwise, using the data exchange node as a low-flow node;
and acquiring a data exchange dynamic classification basic node by using the high-flow node and the low-flow node.
Further, the obtaining of the data exchange dynamic classification base node by using the high flow node and the low flow node includes:
calculating the change rate of the high-flow node by using the real-time data flow of the high-flow node and the data flow of the adjacent previous moment;
calculating the change rate of the low-flow node by using the real-time data flow of the low-flow node and the data flow of the adjacent last moment;
obtaining a data exchange dynamic classification high-flow basic node by using the high-flow node according to the change rate of the high-flow node;
obtaining a data exchange dynamic classification low-flow basic node by using the low-flow node according to the low-flow node change rate;
and the data exchange dynamic classification high-flow basic node and the data exchange dynamic classification low-flow basic node are used as data exchange dynamic classification basic nodes.
Further, the calculation formula for calculating the change rate of the high-flow node by using the real-time data flow of the high-flow node and the data flow of the previous adjacent time is as follows:
where m is the high traffic node rate of change, x 1 The data traffic of the high-traffic node at the previous moment is adjacent, and x is the real-time data traffic of the high-traffic node.
Further, the calculation formula for calculating the change rate of the low-flow node by using the real-time data flow of the low-flow node and the data flow of the previous adjacent time is as follows:
where n is the low traffic node rate of change, y 1 The data traffic of the low-traffic node at the previous moment is adjacent, and y is the real-time data traffic of the low-traffic node.
Further, obtaining a data exchange dynamic classification high-traffic basic node according to the high-traffic node change rate by using the high-traffic node includes:
when the high-flow node change rate of the high-flow node is a positive value, the high-flow node is used as a data exchange dynamic backup node;
when the high-flow node change rate of the high-flow node is not a positive value, the high-flow node is used as a data exchange high-flow basic node;
the data exchange dynamic backup node and the data exchange high-flow basic node are used as data exchange dynamic classification high-flow basic nodes;
wherein the data exchange dynamic backup node is not enabled by default.
Further, obtaining the data exchange dynamic classification low-traffic basic node according to the low-traffic node change rate by using the low-traffic node includes:
when the low flow node change rate of the low flow node is a positive value, the low flow node is used as a data exchange dynamic backup node;
when the low-flow node change rate of the low-flow node is not a positive value, the low-flow node is used as a data exchange low-flow basic node;
the data exchange dynamic backup node and the data exchange low-flow basic node are used as data exchange dynamic classification low-flow basic nodes;
wherein the data exchange dynamic backup node is not enabled by default.
Preferably, the step of performing differentiation processing based on real-time data exchange volume according to the data exchange dynamic classification base node to obtain a data exchange dynamic classification node comprises:
when the fluctuation of the real-time data exchange quantity at the moment t exceeds the fluctuation threshold value at the current moment, judging whether the real-time data exchange quantity at the moment t +1 exceeds the fluctuation threshold value at the moment t, if so, performing differentiation processing according to the fluctuation threshold value at the moment t +2 to obtain a data exchange dynamic classification node, and otherwise, starting a single data exchange dynamic backup node, a data exchange high-flow basic node and a data exchange low-flow basic node as the data exchange dynamic classification node;
when the fluctuation of the real-time data exchange amount at the time t does not exceed the fluctuation threshold value at the current time, keeping the double-data exchange dynamic backup node not started;
the fluctuation is the difference value between the real-time data exchange amount at the current moment and the real-time data exchange amount at the previous adjacent moment, and the fluctuation threshold is 10% of the real-time data exchange amount.
Further, the obtaining of the data exchange dynamic classification node by performing differentiation processing according to the fluctuation threshold at the time t +2 includes:
when the fluctuation threshold value at the t +2 moment exceeds the fluctuation threshold value at the t moment, starting a double-data exchange dynamic backup node to obtain a data exchange dynamic classification node;
when the double-data exchange dynamic backup node is started, whether the real-time data exchange amount at the time t +3 exceeds the fluctuation threshold value at the time t +3 is judged, if yes, S1 is returned, and otherwise, the double-data exchange dynamic backup node is adjusted to obtain a data exchange dynamic classification node.
Further, the adjusting the dual data exchange dynamic backup node to obtain the data exchange dynamic classification node includes:
when the fluctuation of the real-time data exchange quantity at the time t +3 is greater than the fluctuation threshold at the time t and less than the fluctuation threshold at the time t +3, adjusting both the double-data exchange dynamic backup nodes into data exchange dynamic classification high-flow basic nodes as data exchange dynamic classification nodes;
and when the fluctuation of the real-time data exchange amount at the t +3 moment is smaller than the fluctuation threshold value at the t moment, deactivating the double-data exchange dynamic backup node in the data exchange dynamic classification node.
Compared with the closest prior art, the invention has the following beneficial effects:
the nodes can be classified in real time according to the data volume, the requirement of real-time data volume change corresponding adjustment node categories is met, meanwhile, redundant nodes are arranged, multi-node shunting is carried out on suddenly increased data flow, an iterative node processing mode is adopted in the adjustment process, the method can be applied to the conditions of node increase or node reduction and the like, a solution method is provided for transmission and exchange of large data volume, the applicable range is wide, and the method has better practicability.
Drawings
FIG. 1 is a flow chart of a multi-node adjustment method for ultra-large data volume transmission according to the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
Example 1: the invention provides a multi-node adjusting method for ultra-large data volume transmission, as shown in fig. 1, comprising:
s1, classifying by using a data exchange node to obtain a data exchange dynamic classification basic node;
s2, carrying out differentiation processing based on real-time data exchange amount according to the data exchange dynamic classification basic node to obtain a data exchange dynamic classification node;
and S3, performing data exchange processing by using the data exchange dynamic classification node.
S1 specifically comprises the following steps:
s1-1, calculating an average value of data exchange quantity of each data exchange node at the previous adjacent moment by using the data exchange quantity of the data exchange node as a dynamic classification basic threshold;
s1-2, judging whether the data exchange quantity of the data exchange node is larger than a dynamic classification basic threshold value, if so, using the data exchange node as a high-flow node, otherwise, using the data exchange node as a low-flow node;
and S1-3, acquiring a data exchange dynamic classification basic node by using the high flow node and the low flow node.
S1-3 specifically comprises:
s1-3-1, calculating the change rate of the high-flow node by using the real-time data flow of the high-flow node and the data flow of the adjacent previous moment;
s1-3-2, calculating the change rate of the low-flow node by using the real-time data flow of the low-flow node and the data flow of the adjacent last moment;
s1-3-3, obtaining a data exchange dynamic classification high-flow basic node by using the high-flow node according to the change rate of the high-flow node;
s1-3-4, obtaining a data exchange dynamic classification low-flow basic node by using the low-flow node according to the low-flow node change rate;
s1-3-5, using the data exchange dynamic classification high-flow basic node and the data exchange dynamic classification low-flow basic node as data exchange dynamic classification basic nodes.
The calculation formula of S1-3-1 is as follows:
where m is the high traffic node rate of change, x 1 The data traffic of the high-traffic node at the previous moment is adjacent, and x is the real-time data traffic of the high-traffic node.
The calculation formula of S1-3-2 is as follows:
where n is the low traffic node rate of change, y 1 The data traffic of the low-traffic node at the previous moment is adjacent, and y is the real-time data traffic of the low-traffic node.
S1-3-3 specifically includes:
s1-3-3-1, when the change rate of the high-flow node is a positive value, using the high-flow node as a data exchange dynamic backup node;
s1-3-3-2, when the change rate of the high-flow node is not a positive value, using the high-flow node as a data exchange high-flow basic node;
s1-3-3-3, using the data exchange dynamic backup node and the data exchange high-flow basic node as data exchange dynamic classification high-flow basic nodes;
wherein the data exchange dynamic backup node is not enabled by default.
S1-3-4 specifically comprises:
s1-3-4-1, when the change rate of the low-flow node is a positive value, using the low-flow node as a data exchange dynamic backup node;
s1-3-4-2, when the change rate of the low-flow node is not a positive value, using the low-flow node as a data exchange low-flow basic node;
s1-3-4-3, using the data exchange dynamic backup node and the data exchange low-flow basic node as data exchange dynamic classification low-flow basic nodes;
wherein the data exchange dynamic backup node is not enabled by default.
S2 specifically comprises the following steps:
s2-1, when the fluctuation of the real-time data exchange quantity at the moment t exceeds the fluctuation threshold value at the current moment, judging whether the real-time data exchange quantity at the moment t +1 exceeds the fluctuation threshold value at the moment t, if so, performing differentiation processing according to the fluctuation threshold value at the moment t +2 to obtain a data exchange dynamic classification node, and otherwise, starting a single data exchange dynamic backup node, a data exchange high-flow basic node and a data exchange low-flow basic node as the data exchange dynamic classification node;
s2-2, when the fluctuation of the real-time data exchange quantity at the moment t does not exceed the fluctuation threshold value at the current moment, keeping the dual-data exchange dynamic backup node not started;
the fluctuation is the difference value between the real-time data exchange amount at the current moment and the real-time data exchange amount at the previous adjacent moment, and the fluctuation threshold is 10% of the real-time data exchange amount.
S2-1 specifically comprises:
s2-1-1, when the fluctuation threshold value at the t +2 moment exceeds the fluctuation threshold value at the t moment, starting a double-data exchange dynamic backup node to obtain a data exchange dynamic classification node;
and S2-1-2, when the double data exchange dynamic backup node is started, judging whether the real-time data exchange amount at the time t +3 exceeds the fluctuation threshold value at the time t +3, if so, returning to the S1, and otherwise, adjusting the double data exchange dynamic backup node to obtain a data exchange dynamic classification node.
S2-1-2 specifically comprises:
s2-1-2-1, when the fluctuation of the real-time data exchange amount at the time t +3 is larger than the fluctuation threshold at the time t and smaller than the fluctuation threshold at the time t +3, adjusting both the double-data exchange dynamic backup nodes into data exchange dynamic classification high-flow basic nodes as data exchange dynamic classification nodes;
and S2-1-2-2, when the fluctuation of the real-time data exchange amount at the t +3 moment is less than the fluctuation threshold value at the t moment, stopping the double-data exchange dynamic backup node in the data exchange dynamic classification node.
In this embodiment, since the data exchange dynamic backup nodes corresponding to the high and low flows are the same, when a single data exchange dynamic backup node is enabled, one data exchange dynamic backup node may be enabled at will, and similarly, when a dual data exchange dynamic classification node is enabled, two data exchange dynamic classification nodes are enabled at the same time.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A multi-node adjustment method for ultra-large data volume transmission is characterized by comprising the following steps:
s1, classifying by using a data exchange node to obtain a data exchange dynamic classification basic node;
s2, carrying out differentiation processing based on real-time data exchange amount according to the data exchange dynamic classification basic node to obtain a data exchange dynamic classification node;
and S3, performing data exchange processing by using the data exchange dynamic classification node.
2. The multi-node adjustment method for very large data volume transmission according to claim 1, wherein the obtaining of the data exchange dynamic classification base node by using the data exchange node for classification processing comprises:
calculating the average value of the data exchange quantity of each data exchange node at the previous moment as a dynamic classification basic threshold value by using the data exchange quantity of the data exchange node;
judging whether the data exchange amount of the data exchange node is larger than a dynamic classification basic threshold value, if so, using the data exchange node as a high-flow node, otherwise, using the data exchange node as a low-flow node;
and acquiring a data exchange dynamic classification basic node by using the high-flow node and the low-flow node.
3. The method of claim 2, wherein the obtaining of the data exchange dynamic classification base node by the high traffic node and the low traffic node comprises:
calculating the change rate of the high-flow node by using the real-time data flow of the high-flow node and the data flow of the adjacent previous moment;
calculating the change rate of the low-flow node by using the real-time data flow of the low-flow node and the data flow of the adjacent last moment;
obtaining a data exchange dynamic classification high-flow basic node by using the high-flow node according to the change rate of the high-flow node;
obtaining a data exchange dynamic classification low-flow basic node by using the low-flow node according to the low-flow node change rate;
and the data exchange dynamic classification high-flow basic node and the data exchange dynamic classification low-flow basic node are used as data exchange dynamic classification basic nodes.
4. The multi-node adjustment method for very large data volume transmission according to claim 3, wherein the calculation formula for calculating the change rate of the high-traffic node using the real-time data traffic of the high-traffic node and the data traffic of the previous neighboring time is as follows:
where m is the high traffic node rate of change, x 1 The data traffic of the high-traffic node at the previous adjacent time is x, and the real-time data traffic of the high-traffic node is x.
5. The multi-node adjustment method for very large data volume transmission according to claim 3, wherein the calculation formula for calculating the change rate of the low-traffic node using the real-time data traffic of the low-traffic node and the data traffic of the previous neighboring time is as follows:
where n is the low traffic node rate of change, y 1 The data traffic of the low-traffic node at the previous moment is adjacent, and y is the real-time data traffic of the low-traffic node.
6. The multi-node adjustment method for very large data volume transmission according to claim 3, wherein the obtaining of the data exchange dynamic classification high-traffic base node according to the high-traffic node change rate by the high-traffic node comprises:
when the high-flow node change rate of the high-flow node is a positive value, the high-flow node is used as a data exchange dynamic backup node;
when the high-flow node change rate of the high-flow node is not a positive value, the high-flow node is used as a data exchange high-flow basic node;
the data exchange dynamic backup node and the data exchange high-flow basic node are used as data exchange dynamic classification high-flow basic nodes;
wherein the data exchange dynamic backup node is not enabled by default.
7. The multi-node adjustment method for very large data volume transmission according to claim 3, wherein the obtaining of the data exchange dynamic classification low-traffic base node according to the low-traffic node change rate by using the low-traffic node comprises:
when the low flow node change rate of the low flow node is a positive value, the low flow node is used as a data exchange dynamic backup node;
when the low-flow node change rate of the low-flow node is not a positive value, the low-flow node is used as a data exchange low-flow basic node;
the data exchange dynamic backup node and the data exchange low-flow basic node are used as data exchange dynamic classification low-flow basic nodes;
wherein the data exchange dynamic backup node is not enabled by default.
8. The method as claimed in claim 1, wherein the step of obtaining the data exchange dynamic classification nodes according to the differentiation processing of the data exchange dynamic classification base nodes based on the real-time data exchange volume comprises:
when the fluctuation of the real-time data exchange quantity at the moment t exceeds the fluctuation threshold value at the current moment, judging whether the real-time data exchange quantity at the moment t +1 exceeds the fluctuation threshold value at the moment t, if so, performing differentiation processing according to the fluctuation threshold value at the moment t +2 to obtain a data exchange dynamic classification node, and otherwise, starting a single data exchange dynamic backup node, a data exchange high-flow basic node and a data exchange low-flow basic node as the data exchange dynamic classification node;
when the fluctuation of the real-time data exchange amount at the time t does not exceed the fluctuation threshold value at the current time, keeping the double-data exchange dynamic backup node not started;
the fluctuation is the difference value between the real-time data exchange amount at the current moment and the real-time data exchange amount at the previous adjacent moment, and the fluctuation threshold is 10% of the real-time data exchange amount.
9. The method as claimed in claim 8, wherein the step of performing differentiation processing according to the fluctuation threshold at the time t +2 to obtain the dynamic classification node for data exchange comprises:
when the fluctuation threshold value at the t +2 moment exceeds the fluctuation threshold value at the t moment, starting a double-data exchange dynamic backup node to obtain a data exchange dynamic classification node;
when the double-data exchange dynamic backup node is started, whether the real-time data exchange amount at the time t +3 exceeds the fluctuation threshold value at the time t +3 is judged, if yes, S1 is returned, and otherwise, the double-data exchange dynamic backup node is adjusted to obtain a data exchange dynamic classification node.
10. The multi-node adjustment method for very large data volume transmission of claim 9, wherein the adjusting the dual data exchange dynamic backup node to obtain the data exchange dynamic classification node comprises:
when the fluctuation of the real-time data exchange amount at the time t +3 is greater than the fluctuation threshold at the time t and less than the fluctuation threshold at the time t +3, adjusting both the double-data exchange dynamic backup nodes into data exchange dynamic classification high-flow basic nodes as data exchange dynamic classification nodes;
and when the fluctuation of the real-time data exchange amount at the t +3 moment is smaller than the fluctuation threshold value at the t moment, deactivating the double-data exchange dynamic backup node in the data exchange dynamic classification node.
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