CN114584397B - Distributed cloud data centralized processing method and system - Google Patents
Distributed cloud data centralized processing method and system Download PDFInfo
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- CN114584397B CN114584397B CN202210456494.9A CN202210456494A CN114584397B CN 114584397 B CN114584397 B CN 114584397B CN 202210456494 A CN202210456494 A CN 202210456494A CN 114584397 B CN114584397 B CN 114584397B
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Abstract
The application discloses a distributed cloud data centralized processing method and a distributed cloud data centralized processing system, wherein the distributed cloud data centralized processing method specifically comprises the following steps: acquiring initial cloud data; processing the initial cloud data to obtain target cloud data, and transmitting the target cloud data; in response to the completion of the transmission processing of the target cloud data, inquiring whether uncertain data exist in the target cloud data; if the target cloud data has uncertain data, carrying out uncertain processing on the target cloud data; and responding to the uncertain processing of the target cloud data, and performing centralized processing on the target cloud data. The data transmission method and device can be used for carrying out centralized processing on the data, specifically centralized receiving, centralized fusion and centralized transmission, and safety during data transmission is improved.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a distributed cloud data centralized processing method and system.
Background
With the continuous development of science and technology, data is used more and more frequently, and people have more and more means for processing data, and in the process of processing data, people usually consider the security of a data transmission environment, usually carry out multiple encryption on the transmission process, but neglect the processing of the data, so that no matter how safe the data transmission environment is, hidden danger exists in the data transmission.
Therefore, how to provide a method capable of improving security when processing data is a problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
The application provides a distributed cloud data centralized processing method, which specifically comprises the following steps: acquiring initial cloud data; processing the initial cloud data to obtain target cloud data, and transmitting the target cloud data; in response to the completion of the transmission processing of the target cloud data, inquiring whether uncertain data exist in the target cloud data; if the target cloud data has uncertain data, carrying out uncertain processing on the target cloud data; and responding to the uncertain processing of the target cloud data, and performing centralized processing on the target cloud data.
As described above, if there is no uncertain data in the target cloud data, the target cloud data is directly subjected to centralized processing.
As above, a plurality of network receiving nodes are set to perform the acquisition of the initial cloud data at a plurality of times.
As above, the processing the initial cloud data to obtain the target cloud data includes performing fusion of the initial cloud data to obtain the target cloud data.
The above, wherein the target cloud data is defined as
Wherein
The initial cloud data received by the network convergence node i at the time t.
The method as above, wherein the target cloud data
The concrete expression is as follows:
As above, the transmitting the target data includes transmitting the target cloud data to the network head node through the plurality of network transmission nodes in response to acquiring the target cloud data.
As described above, the target cloud data fused in the network master node is respectively compared with the initial cloud data of the plurality of network receiving nodes, so as to determine whether uncertain data exist in the target cloud data.
As above, the centralized processing of the target cloud data specifically includes the following sub-steps: setting the slicing time of target cloud data; carrying out fragmentation operation on the target cloud data according to the fragmentation time; and responding to the completion of the fragmentation operation of the target cloud data, and storing the target cloud data subjected to the fragmentation operation.
A distributed cloud data centralized processing system specifically comprises: the system comprises an acquisition unit, a transmission unit, a query unit, an uncertain processing unit and a centralized processing unit; an acquisition unit configured to acquire initial cloud data; the transmission unit is used for processing the initial cloud data to obtain target cloud data and transmitting the target cloud data; the query unit is used for responding to the completion of the transmission processing of the target cloud data and querying whether uncertain data exist in the target cloud data; the uncertain processing unit is used for carrying out uncertain processing on the target cloud data if the target cloud data has uncertain data; and the centralized unit is used for responding to the uncertain processing of the target cloud data and performing centralized processing on the target cloud data.
The application has the following beneficial effects:
the data transmission system can be used for carrying out centralized processing on the data, specifically centralized receiving, centralized fusion and centralized transmission, and can be used for carrying out safe storage after transmission, so that the safety during data transmission and the safety during storage are improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a flowchart of a distributed cloud data centralized processing method provided according to an embodiment of the present application;
fig. 2 is an internal structure diagram of a distributed cloud data centralized processing system provided according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. 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 application.
The application relates to a distributed cloud data centralized processing method and system, which can be used for performing centralized processing on data and improving the security during data transmission and storage.
Example one
As shown in fig. 1, a distributed cloud data centralized processing method provided by the present application specifically includes the following steps:
step S110: initial cloud data is obtained.
The initial cloud data is data that can be acquired by a network, and may be a plurality of initial cloud data acquired at different times.
Specifically, a plurality of network receiving nodes are set to acquire initial cloud data at a plurality of moments.
Step S120: and processing the initial cloud data to obtain target cloud data, and transmitting the target cloud data.
Specifically, a plurality of network nodes are arranged to perform centralized transmission processing of target cloud data, wherein the network nodes include a plurality of network transmission nodes, network convergence nodes, network aggregation nodes and the like, and are network nodes as well as network receiving nodes. Wherein step S120 specifically includes the following substeps:
step S1201: and fusing the initial cloud data to obtain target cloud data.
The single initial cloud data is not complete data, and the initial cloud data acquired at multiple moments need to be fused to form target cloud data.
Specifically, one or more network convergence nodes receive initial cloud data from the network receiving node and perform convergence of the initial cloud data, and each network convergence node may receive one type of initial cloud data, or one network convergence node may receive multiple types of initial cloud data.
Since the obtained initial cloud data is of a plurality of types, the target cloud data after fusion may also be of one or more types.
For example, when the network fusion node receives initial cloud data of A, B, C, D, E, etc., where the initial cloud data is A, B, C capable of being fused, and the initial cloud data D, E does not need to be fused, the target cloud data is 3 types, which are respectively target cloud data formed after the initial cloud data A, B, C is fused, and the target cloud data D, E.
The summation function is used for carrying out initial cloud data fusion, and target cloud data formed after the initial cloud data fusion can be defined as
，
The initial cloud data received by the network convergence node i at the time t.
Wherein the fused target cloud data
The concrete expression is as follows:
wherein
The initial cloud data received by the network fusion node i at the time t, and N represents the number of the network fusion nodes.
Step S1202: and responding to the obtained target cloud data, and transmitting the target data.
Specifically, one or more target cloud data are obtained through response fusion, and the one or more network fusion nodes transmit the fused one or more target cloud data to the network master node through the network transmission node.
The number of the network transmission nodes is one or more, and each target cloud data is transmitted to one or more network general nodes through a corresponding network transmission node. One kind of target cloud data can be transmitted to only one network master node.
In the transmission process, collision and collision are generated when a plurality of network transmission nodes in the communication range simultaneously transmit target cloud data, so the embodiment allocates a specific random time slice according to the number of nodes which may have collision and collision around each network transmission node
I.e. the network transport node i is
Sending the fused target cloud data to a network master node within a time range,
and transmitting the time when the node i initially receives the target cloud data for the network.
In the network transmission node, the node which first sends data is the network transmission node, the node which receives the data and transmits the data to the following node, and the node which sends the data to the network main node passes through is the sub-network transmission node.
A plurality of network transmission nodes which simultaneously transmit data are defined as first-layer nodes, and sub-network transmission nodes which need to pass when the network transmission nodes transmit data to a network main node are defined as second-layer nodes. In one layer of nodes, a plurality of network transmission nodes which simultaneously transmit data may be within communication range of each other. In the nodes of one layer and two layers, the sub-network transmission nodes in the communication coverage range of the network transmission node can be positioned in the same layer or the next layer.
In which random time slices
The concrete expression is as follows:
wherein the content of the first and second substances,
when the communication range of the network transmission node is 50m and the data transmission rate is 1Mbps, the sum of time delays for transmitting data to the network total node by two network transmission nodes with the distance of 0-50m under the condition of no collision and collision is shown.
Specifically, if the network transmission node transmits data to the network master node after 3 sub-network transmission nodes are needed to transmit the data to the network master node, the number of the sub-network transmission nodes is expressed
. Wherein
Indicating the number of nodes that are likely to collide with the network transmission node i.
Indicating the probability that a network transmission node is in the same layer as the nodes in its communication coverage area.
Suppose that M network transmission nodes are randomly distributed, and the number of nodes in the same layer and in the communication range as the network transmission node i is
Then, then
。
Wherein this applicationPlease calculate the random time slice
The problem that collision and collision are generated when a plurality of network transmission nodes in a communication range send data at the same time is solved. Different from the conventional technology in which a time is randomly defined, in the process of calculating the random time slice, the present embodiment considers parameters such as time delay, the number of network transmission nodes that may collide, and the number of total network transmission nodes, so that the random time slice is calculated
The process is more comprehensive, so that the problem of collision of multiple network transmission nodes can be better solved.
In the data transmission process, the embodiment adopts the mode of node acquisition when initially acquiring data, and the transmission between nodes is used as the transmission path of the data, so that the security of the data during transmission is improved.
Step S130: and responding to the completion of the transmission of the target cloud data, and inquiring whether uncertain data exist in the target cloud data.
Specifically, query of uncertain data in target cloud data is carried out in the network master node.
The data is lost due to network transmission or other reasons, and if part of the data is not normally transmitted due to the loss in the data transmission, the lost data and the data which is not normally transmitted are uncertain data. The uncertain data are specifically one or more initial cloud data before fusion.
In the query process of the uncertain data, the plurality of network receiving nodes acquire the initial cloud data at a plurality of moments, so that the target cloud data fused in the network master node is respectively compared with the initial cloud data of the plurality of network receiving nodes.
Specifically, if the fused target cloud data is compared with the initial cloud data of the network receiving node, and if the target cloud data includes all elements of the initial cloud data, it is determined that the target cloud data does not have uncertain data, and step S150 is executed according to the target cloud data. If only part of the initial cloud data is included, it is determined that the uncertain data exists, and which initial cloud data the uncertain data is according to the comparison, step S140 is performed.
In the embodiment, the initial cloud data is compared with the target cloud data in the network master node, rather than the initial cloud data in the network transmission node, so that the possibility of fundamental abnormality of the initial cloud data is eliminated, and if the target cloud data contains all the elements of the initial cloud data, at least the target cloud data is considered to be free of data elements, so that the problem of data abnormality caused by data element loss is solved.
Step S140: and carrying out uncertain processing on the target cloud data.
Specifically, uncertain processing of uncertain data in target cloud data is performed in a network master node.
Step S140 specifically includes the following substeps:
step S1401: and judging whether the uncertain data can be replaced.
Specifically, the target cloud data with uncertain data is replaced by the new target cloud data generated by re-fusing the same initial cloud data.
Judging whether the uncertain data can be replaced, judging whether the time for generating the new target cloud data exceeds a specified threshold, if so, executing the step S1402, otherwise, directly executing the step S150 on the generated new target cloud data.
Step S1402: and selecting temporary data to form new target cloud data.
The temporary data is obtained by selecting a data element with a part similar to the missing data from the target cloud data to copy the data element as "temporary data", forming new target cloud data by the data element in the temporary data and the original target cloud data, and executing step S150 according to the target cloud data after the uncertain processing.
In step S130, since the uncertain data is specifically determined according to the initial cloud data, the similarity between other data in the target cloud data and the uncertain data is determined at this time, and the data with the similarity greater than the specified threshold is used as the temporary data.
The similarity between the data elements can be determined by Euclidean distance, minimum hash algorithm and locality sensitive hash algorithm.
The data transmission safety is improved, meanwhile, the data are detected, and the data transmission safety is enhanced through a plurality of angles.
Step S150: and carrying out centralized processing on the target cloud data.
The centralized processing of the target cloud data comprises the slicing operation of the target cloud data and the storage processing of the sliced cloud data.
Specifically, after the transmission processing of the target cloud data is performed, the plurality of network master nodes may respectively and sequentially receive the target cloud data, and in order to ensure that the data is not stolen or leaked, the network master nodes perform a fragmentation operation on the original target cloud data or the generated new target cloud data, where the following target cloud data represents the original target cloud data in step S130 or the new target cloud data generated in step S140.
The network master node receiving the target cloud data is a first network master node, and the network master node not receiving the target cloud data is a second network master node.
Specifically, the slicing operation refers to the step of slicing target cloud data (or new target cloud data) received in the network master node
) Randomly slicing into k slices, the sum of the k data slices being equal to
。
The step S150 specifically includes the following sub-steps:
step S1501: and setting target cloud data slicing time.
Wherein the time of the target cloud data fragmentation stage is assumed to be
To
That is, the total time period of the target cloud data fragmentation stage is
Then the intermediate time of the target cloud data fragmentation stage
。
Step S1502: and carrying out fragmentation operation on the target cloud data according to the fragmentation time.
Specifically, in
At the moment, the first network master node transmits target cloud data
Randomly dividing into k pieces, wherein the sum of the k target cloud data pieces is equal to
At the middle moment of the target cloud data fragmentation stage
And reserving one target cloud data fragment per se. To be cut to
At the moment, the first network master node encrypts the rest k-1 pieces of target cloud data and then randomly sends the encrypted target cloud data to a second network master node h hops away from the first network master node.
Due to the fact that data fragmentation operation is conducted, even if a network attacker eavesdrops the fragment data sent by the network attacker, the fragment data is not the original target cloud data, and the safety of data transmission is enhanced.
Step S1503: and responding to the completion of the fragmentation operation of the target cloud data, and storing the fragmented target cloud data.
Specifically, the fragmented target cloud data is obtained from the second network master node and stored.
Specifically, a network storage node is arranged, and the network storage node acquires fragmented target cloud data in a second network master node and fuses the fragmented target cloud data into integral target data in the network storage node for storage.
According to the storage method provided by the embodiment, even if a network attacker eavesdrops the sent fragment data, the fragment data is not the original target cloud data, and the security of the stored data is enhanced.
As shown in fig. 2, the present application provides a distributed cloud data centralized processing system, which specifically includes: an obtaining unit 210, a transmitting unit 220, a querying unit 230, an uncertain processing unit 240, and a centralized processing unit 250.
The obtaining unit 210 is configured to obtain initial cloud data.
The transmission unit 220 is connected to the obtaining unit 210, and is configured to process the initial cloud data to obtain target cloud data, and transmit the target cloud data.
The query unit 230 is connected to the transmission unit 220, and configured to query whether uncertain data exists in the target cloud data in response to completion of the transmission processing of the target cloud data.
The uncertain processing unit 240 is connected to the querying unit 230, and is configured to perform uncertain processing on the target cloud data if the target cloud data has uncertain data.
The centralized unit 250 is connected to the query unit 230 and the uncertain processing unit 240, respectively, and is configured to perform centralized processing on the target cloud data in response to completing uncertain processing on the target cloud data or the target cloud data does not have uncertain data.
The application has the following beneficial effects:
the data transmission system can be used for carrying out centralized processing on the data, specifically centralized receiving, centralized fusion and centralized transmission, and can be used for carrying out safe storage after transmission, so that the safety during data transmission and the safety during storage are improved.
Although the present application has been described with reference to examples, which are intended to be illustrative only and not to be limiting of the application, changes, additions and/or deletions may be made to the embodiments without departing from the scope of the application.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (4)
1. A distributed cloud data centralized processing method is characterized by specifically comprising the following steps:
acquiring initial cloud data;
processing the initial cloud data to obtain target cloud data, and transmitting the target cloud data;
in response to the completion of the transmission of the target cloud data, inquiring whether uncertain data exist in the target cloud data;
if the target cloud data has uncertain data, carrying out uncertain processing on the target cloud data;
in response to the completion of the uncertain processing of the target cloud data, performing centralized processing on the target cloud data;
the processing of the initial cloud data to obtain target cloud data, and the transmission of the target cloud data comprises the following substeps:
fusing the initial cloud data to obtain target cloud data; the target cloud data is defined as
Wherein
The initial cloud data is received by the network fusion node i at the moment t; target cloud data
The concrete expression is as follows:
responding to the obtained target cloud data, and transmitting the target data; one or more network fusion nodes transmit the fused one or more target cloud data to a network master node through a network transmission node in response to the obtained one or more target cloud data; wherein a specific random time slice is determined during transmission
Network transmission node i in
Sending the fused target cloud data to a network master node within a time range,
the time when the network transmission node i initially receives the target cloud data;
random time slice
The concrete expression is as follows:
wherein the content of the first and second substances,
the sum of time delays for sending data to a network total node by two network transmission nodes with the distance of 0-50m under the condition of no collision and collision when the communication range of the network transmission nodes is 50m and the data transmission rate is 1 Mbps;
indicates the number of sub-network transmission nodes communicating with the network transmission node i,
indicating the number of nodes in the collision range with the network transmission node i,
representing the probability that a certain network transmission node is in the same layer with the node in the communication coverage range;
the uncertain processing of the target cloud data specifically comprises the following substeps of uncertain processing of the uncertain data:
judging whether the uncertain data can be replaced or not; the method comprises the steps of generating new target cloud data by re-fusing the same initial cloud data, and replacing the target cloud data with uncertain data with the new target cloud data;
if the time for generating the new target cloud data exceeds a specified threshold, selecting temporary data to form new target cloud data; if the time for generating the new target cloud data does not exceed a specified threshold, performing centralized processing on the target cloud data;
the centralized processing of the target cloud data specifically comprises the following substeps:
setting the slicing time of target cloud data; wherein the time of the target cloud data fragmentation stage is assumed to be
To
That is, the total time period of the target cloud data fragmentation stage is
Then the intermediate time of the target cloud data fragmentation stage
；
Carrying out fragmentation operation on the target cloud data according to the fragmentation time; firstly, defining a network total node which receives target cloud data as a first network total node, and defining a network total node which does not receive the target cloud data as a second network total node; in that
At the moment, the first network master node transmits target cloud data
Randomly dividing into k pieces, wherein the sum of the k target cloud data pieces is equal to
At the middle moment of the target cloud data fragmentation stage
One target cloud data fragment is reserved; to be cut to
At the moment, the first network master node encrypts the rest k-1 pieces of target cloud data and then randomly sends the encrypted target cloud data to a second network master node h hops away from the first network master node;
and responding to the completion of the fragmentation operation of the target cloud data, and storing the target cloud data subjected to the fragmentation operation.
2. The distributed cloud data centralized processing method of claim 1, wherein the transmitting the target data includes transmitting the target cloud data to a network head node through a plurality of network transmission nodes in response to obtaining the target cloud data.
3. The distributed cloud data centralized processing method of claim 2, wherein the fused target cloud data in the network master node is compared with the initial cloud data of the plurality of network receiving nodes, respectively, to determine whether uncertain data exist in the target cloud data.
4. A distributed cloud data centralized processing system, configured to perform the method according to any one of claims 1 to 3, specifically comprising: the system comprises an acquisition unit, a transmission unit, a query unit, an uncertain processing unit and a centralized processing unit;
an acquisition unit configured to acquire initial cloud data;
the transmission unit is used for processing the initial cloud data to obtain target cloud data and transmitting the target cloud data;
the query unit is used for responding to the completion of the transmission processing of the target cloud data and querying whether uncertain data exist in the target cloud data;
the uncertain processing unit is used for carrying out uncertain processing on the target cloud data if the target cloud data has uncertain data;
and the centralized unit is used for responding to the uncertain processing of the target cloud data and performing centralized processing on the target cloud data.
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