CN106375459B - Mass data analysis device and method in isolation network - Google Patents

Mass data analysis device and method in isolation network Download PDF

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CN106375459B
CN106375459B CN201610816874.3A CN201610816874A CN106375459B CN 106375459 B CN106375459 B CN 106375459B CN 201610816874 A CN201610816874 A CN 201610816874A CN 106375459 B CN106375459 B CN 106375459B
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network
task
xml
section
task file
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CN106375459A (en
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朱红勤
赵扬
张明
郭晏
嵇文路
孙佳炜
宋志军
毛小武
潘小辉
严迪
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NANJING UNITED GENERAL INFORMATION
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Nanjing Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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NANJING UNITED GENERAL INFORMATION
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Nanjing Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1001Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/60Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources

Abstract

The invention discloses a device and a method for analyzing mass data in an isolation network, wherein the device comprises an A network data task generating module, an A network task shunting module, a task interaction module, a task analyzing module, a task scheduling module and a data feedback module; the method comprises the steps of reading and generating an xml task file, analyzing and judging the task file, isolating a transmission file in the network, executing the task file to obtain corresponding result data information and storing the result data information in the task file, scheduling network service resources, generating a finished task file and transmitting the finished task file back to an application system. The device and the method for analyzing the mass data in the isolated network can effectively utilize other network resources by only debugging the device and the network channel normally during execution, so that the independent network load is reduced, the additional investment of a server and the network resources is reduced, and the investment cost is reduced.

Description

Mass data analysis device and method in isolation network
Technical Field
The invention relates to a device and a method for analyzing mass data, in particular to a device and a method for analyzing mass data in an isolation network.
Background
The analysis of mass data in the existing isolation network is in respective independent networks, the independent network analysis can cause a large amount of processing resource waste when other networks are idle, and one of the networks is easy to process overload, so that the server processing resources in the network are not facilitated, and the high-efficiency utilization of the resources cannot be ensured.
Disclosure of Invention
The invention aims to solve the technical problem that in the analysis of mass data in an isolation network, the whole network resources cannot be used in a balanced and effective manner to analyze the mass data.
In order to solve the technical problem, the invention provides a mass data analysis device in an isolation network, which comprises an A network data task generation module, an A network task distribution module, a task interaction module, a task analysis module, a task scheduling module and a data feedback module;
the A network data task generation module is used for generating an xml task file from a data task to be executed in the A network, adding a task ID number, an information source, a feedback section, a step section and a network section into each xml task file, setting the step section to be executed in the A network initially and setting the network section to be the A network initially, and then sending the generated xml task file to the A network task distribution module;
the A network task shunting module is used for determining whether shunting is performed or not and the amount of shunted tasks according to the size of the service resource load of the A network, if the shunting is determined to be required, the step section of the shunted xml task file is set to be 'B network execution' and then sent to the task analysis module, meanwhile, the non-shunted xml task file is stored in the feedback section of the result data to the xml task file after the A network executes the data query task, and then the step section of the non-shunted xml task file is set to be 'completion' and then sent to the task analysis module;
the task analysis module is used for analyzing the sent xml task file, when the state of the step section in the xml task file is 'B network execution' and the network section is 'A network', the type of the xml task file is sent to the task interaction module, when the state of the step section in the xml task file is 'B network execution' and the network section is 'B network', the type of the xml task file is sent to the task scheduling module, when the state of the step section in the xml task file is 'completion' and the network section is 'A network', the type of the xml task file is sent to the data feedback module, and when the state of the step section in the xml task file is 'completion' and the network section is 'B network', the type of the xml task file is sent to the task interaction module;
the task interaction module is used for judging the state of the network segment of the received xml task file, setting the network segment in the xml task file to be sent as a 'B network' when the network segment in the xml task file is the 'A network', and then sending the network segment to the task analysis module, or setting the network segment in the xml task file to be sent as the 'A network' when the network segment in the xml task file is the 'B network', and then sending the network segment to the task analysis module;
the task scheduling module is used for receiving the xml task file of which the step section is 'B network execution', evenly distributing the task file to the corresponding server for execution according to the address and the performance information of each server, storing the result data obtained after the execution into the feedback section of the corresponding xml task file, setting the step section of the xml task file as 'completion', and finally returning the xml task file after the execution to the task analysis module;
and the data feedback module is used for acquiring the data task file with the step section of completion in real time and then feeding back the result data obtained in the feedback section according to the task ID and the information source.
The task file sent by the A-network data task generating module can be shunted by adopting the A-network task shunting module, and the data task is decomposed into two parts according to two isolated networks, so that the utilization rate of network resources is improved, and the load of each network and the investment of additional equipment can be reduced; setting the states of step segments in a task line to three types: network A execution, network B execution and completion, wherein the states of the network segments are set as two types: the network A and the network B confirm the modules of the flow circulation by judging the step section and the network section in the task line, so that the coupling degree of each module is improved, the correctness of the flow circulation can be enhanced by judging the step position and the network position, and the coupling degree is high.
As a further limited scheme of the device, the device also comprises a network scanning module;
and the network scanning module is used for reading the address and the performance information of each server in the B network in real time, storing the address and the performance information of each server in the form of an address table and sending the address table updated in real time to the task scheduling module. The address table is used for storage, and transmission and updating of address and performance information can be facilitated.
As a further limiting scheme of the device, the A-network data task generating module, the A-network task shunting module, the task interaction module, the task analyzing module, the network scanning module, the task scheduling module and the data feedback module carry out time verification through a GPS. The GPS is adopted for time verification, so that the abnormity caused by time difference in the process can be effectively avoided.
As a further limitation of the apparatus of the present invention, the address and performance information includes an IP address, a MAC address, CPU information, memory information, and a usage rate.
The invention also provides a method for analyzing mass data in the isolation network, which comprises the following steps:
step 1, generating xml task files from data tasks to be executed in the network A, and adding a task ID number, an information source, a feedback section, a step section and a network section in each xml task file, wherein the step section is initially set to be executed in the network A, and the network section is initially set to be executed in the network A;
step 2, determining whether to shunt and the amount of the shunted tasks according to the size of the service resource load of the network A, if the shunting is determined to be needed, setting the step section of the shunted xml task file as 'B network execution' and then entering step 3, meanwhile, storing the result data into the feedback section of the xml task file after the network A executes the data query task, and then setting the step section of the non-shunted xml task file as 'completion' and then entering step 3;
step 3, analyzing the sent xml task file, entering step 4 when the state of the step section in the xml task file is 'B network execution' and the network section is 'A network' or the state of the step section is 'completion' and the network section is 'B network', entering step 5 when the state of the step section in the xml task file is 'B network execution' and the network section is 'B network', and entering step 6 when the state of the step section in the xml task file is 'completion' and the network section is 'A network';
step 4, judging the state of the network segment of the received xml task file, setting the network segment of the xml task file to be sent as 'B network' when the network segment of the xml task file is 'A network', and returning to the step 3, or setting the network segment of the xml task file to be sent as 'A network' when the network segment of the xml task file is 'B network', and returning to the step 3;
step 5, receiving the xml task file of which the step section is 'B network execution', uniformly distributing the task file to the corresponding server for execution according to the address and the performance information of each server, storing the result data obtained after the execution into the feedback section of the corresponding xml task file, setting the step section of the xml task file as 'completion', and returning to the step 3;
and 6, acquiring the data task file with the step section of 'finished' in real time, and feeding back the result data obtained in the feedback section according to the task ID and the information source.
As a further limitation of the method of the present invention, in step 5, the address and performance information of each server is stored in the form of an address table. The address table is used for storage, and transmission and updating of address and performance information can be facilitated.
As a further limitation of the method of the present invention, the address and performance information includes an IP address, an MAC address, CPU information, memory information, and a usage rate.
The invention has the beneficial effects that: (1) the task file sent by the A-network data task generating module can be distributed by adopting the A-network task distributing module, and a mass data task is decomposed into two parts according to two isolated networks, so that the utilization rate of network resources is improved, and the load of each network and the investment of additional equipment can be reduced; (2) setting the states of step segments in a task line to three types: network A execution, network B execution and completion, wherein the states of the network segments are set as two types: the network A and the network B confirm the modules of the flow circulation by judging the step section and the network section in the task line, so that the coupling degree of each module is improved, the correctness of the flow circulation can be enhanced by judging the step position and the network position, and the coupling degree is high.
Drawings
FIG. 1 is a schematic diagram illustrating a network of the present invention;
FIG. 2 is a schematic diagram of the apparatus of the present invention;
FIG. 3 is a schematic flow chart of the method of the present invention.
Detailed Description
As shown in fig. 1, the isolated network of the present invention includes two: a net a and a net B. The network A represents a main production network, the network B represents a public information network, and the level of the network A is higher than that of the network B.
As shown in fig. 2, the apparatus for analyzing mass data in an isolated network provided by the present invention includes: the system comprises an A network data task generating module, an A network task shunting module, a task interaction module, a task analyzing module, a network scanning module, a task scheduling module and a data feedback module;
the system comprises an A network data task generation module, an A network task distribution module, an A network data task generation module and an A network task distribution module, wherein the A network data task generation module is used for generating an xml task file from a data task to be executed in the A network, adding a task ID number, an information source, a feedback section, a step section and a network section into each xml task file, setting the step section to be executed in the A network initially and setting the network section to be the A network initially, and then sending the generated xml task file to the A network task distribution module;
the A network task shunting module is used for determining whether shunting is performed or not and the amount of shunted tasks according to the size of the service resource load of the A network, if the shunting is determined to be required, the step section of the shunted xml task file is set to be 'B network execution' and then sent to the task analysis module, meanwhile, the non-shunted xml task file is stored into the feedback section of the xml task file after the A network executes the data query task, and then the step section of the non-shunted xml task file is set to be 'completion' and then sent to the task analysis module;
the task analysis module is used for analyzing the sent xml task file, when the state of the step section in the xml task file is 'B network execution' and the network section is 'A network', the type of the xml task file is sent to the task interaction module, when the state of the step section in the xml task file is 'B network execution' and the network section is 'B network', the type of the xml task file is sent to the task scheduling module, when the state of the step section in the xml task file is 'completion' and the network section is 'A network', the type of the xml task file is sent to the data feedback module, and when the state of the step section in the xml task file is 'completion' and the network section is 'B network', the type of the xml task file is sent to the task interaction module;
the task interaction module is used for judging the state of the network segment of the received xml task file, setting the network segment in the xml task file to be sent as a 'B network' when the network segment in the xml task file is the 'A network', and then sending the network segment to the task analysis module, or setting the network segment in the xml task file to be sent as the 'A network' when the network segment in the xml task file is the 'B network', and then sending the network segment to the task analysis module;
the network scanning module is used for reading the address and performance information of each server in the B network in real time, storing the address and performance information of each server in the form of an address table and sending the address table updated in real time to the task scheduling module, wherein the address and performance information comprises an IP address, an MAC address, CPU information, memory information and utilization rate;
the task scheduling module is used for receiving the xml task file of which the step section is 'B network execution', evenly distributing the task file to the corresponding server for execution according to the address and the performance information of each server, storing the result data obtained after the execution into the feedback section of the corresponding xml task file, setting the step section of the xml task file as 'completion', and finally returning the xml task file after the execution to the task analysis module;
and the data feedback module is used for acquiring the data task file with the step section of completion in real time and then feeding back the result data obtained in the feedback section according to the task ID and the information source.
The A-network task distribution module can distribute massive data query tasks and effectively utilize other network resources, so that the independent network load is reduced, the additional investment of a server and network resources is reduced, and the investment cost is reduced.
In order to effectively avoid the abnormity caused by the time difference in the process, the A network data task generating module, the A network task shunting module, the task interaction module, the task analysis module, the network scanning module, the task scheduling module and the data feedback module of the device carry out time verification through a GPS.
As shown in fig. 3, the present invention further provides a method for analyzing mass data in an isolated network, including the following steps:
step 1, generating xml task files from data tasks to be executed in the network A, and adding a task ID number, an information source, a feedback section, a step section and a network section in each xml task file, wherein the step section is initially set to be executed in the network A, and the network section is initially set to be executed in the network A;
step 2, determining whether to shunt and the amount of the shunted tasks according to the size of the service resource load of the network A, if the shunting is determined to be needed, setting the step section of the shunted xml task file as 'B network execution' and then entering step 3, meanwhile, storing the result data into the feedback section of the xml task file after the network A executes the data query task, and then setting the step section of the non-shunted xml task file as 'completion' and then entering step 3;
step 3, analyzing the sent xml task file, entering step 4 when the state of the step section in the xml task file is 'B network execution' and the network section is 'A network' or the state of the step section is 'completion' and the network section is 'B network', entering step 5 when the state of the step section in the xml task file is 'B network execution' and the network section is 'B network', and entering step 6 when the state of the step section in the xml task file is 'completion' and the network section is 'A network';
step 4, judging the state of the network segment of the received xml task file, setting the network segment of the xml task file to be sent as 'B network' when the network segment of the xml task file is 'A network', and returning to the step 3, or setting the network segment of the xml task file to be sent as 'A network' when the network segment of the xml task file is 'B network', and returning to the step 3;
step 5, receiving the xml task file of which the step section is 'B network execution', and distributing the task file to corresponding servers for execution in a balanced manner according to the address and performance information of each server, wherein the address and performance information of each server is stored in the form of an address table, the address and performance information comprises an IP address, an MAC address, CPU information, memory information and a utilization rate, and then storing result data obtained after execution into a feedback section of the corresponding xml task file, and simultaneously setting the step section of the xml task file to 'completion', and then returning to the step 3;
and 6, acquiring the data task file with the step section of 'finished' in real time, and feeding back the result data obtained in the feedback section according to the task ID and the information source.
According to the technical scheme provided by the embodiment, only a safe transmission channel in the isolated network needs to be established in the execution, so that the isolated network is effectively utilized, and the investment of equipment and cost is reduced. The present invention is not limited to the above embodiments, and any technical solutions formed by equivalent substitutions fall within the scope of the claims of the present invention.

Claims (7)

1. A mass data analysis device in an isolation network is characterized in that: the system comprises an A network data task generating module, an A network task shunting module, a task interaction module, a task analyzing module, a task scheduling module and a data feedback module;
the A network data task generation module is used for generating an xml task file from a data task to be executed in the A network, adding a task ID number, an information source, a feedback section, a step section and a network section into each xml task file, setting the step section to be executed in the A network initially and setting the network section to be the A network initially, and then sending the generated xml task file to the A network task distribution module;
the A network task shunting module is used for determining whether shunting is performed or not and the amount of shunted tasks according to the size of the service resource load of the A network, if the shunting is determined to be required, the step section of the shunted xml task file is set to be 'B network execution' and then sent to the task analysis module, meanwhile, the non-shunted xml task file is stored in the feedback section of the result data to the xml task file after the A network executes the data query task, and then the step section of the non-shunted xml task file is set to be 'completion' and then sent to the task analysis module;
the task analysis module is used for analyzing the sent xml task file, when the state of the step section in the xml task file is 'B network execution' and the network section is 'A network', the type of the xml task file is sent to the task interaction module, when the state of the step section in the xml task file is 'B network execution' and the network section is 'B network', the type of the xml task file is sent to the task scheduling module, when the state of the step section in the xml task file is 'completion' and the network section is 'A network', the type of the xml task file is sent to the data feedback module, and when the state of the step section in the xml task file is 'completion' and the network section is 'B network', the type of the xml task file is sent to the task interaction module;
the task interaction module is used for judging the state of the network segment of the received xml task file, setting the network segment in the xml task file to be sent as a 'B network' when the network segment in the xml task file is the 'A network', and then sending the network segment to the task analysis module, or setting the network segment in the xml task file to be sent as the 'A network' when the network segment in the xml task file is the 'B network', and then sending the network segment to the task analysis module;
the task scheduling module is used for receiving the xml task file of which the step section is 'B network execution', evenly distributing the task file to the corresponding server for execution according to the address and the performance information of each server, storing the result data obtained after the execution into the feedback section of the corresponding xml task file, setting the step section of the xml task file as 'completion', and finally returning the xml task file after the execution to the task analysis module;
and the data feedback module is used for acquiring the xml task file with the step section of 'finished' in real time and then feeding back the result data obtained in the feedback section according to the task ID and the information source.
2. The device for analyzing mass data in an isolated network according to claim 1, wherein: the system also comprises a network scanning module;
and the network scanning module is used for reading the address and the performance information of each server in the B network in real time, storing the address and the performance information of each server in the form of an address table and sending the address table updated in real time to the task scheduling module.
3. The device for analyzing mass data in an isolated network according to claim 1 or 2, wherein: the A-network data task generation module, the A-network task distribution module, the task interaction module, the task analysis module, the task scheduling module and the data feedback module carry out time verification through a GPS.
4. The device for analyzing mass data in an isolated network according to claim 1 or 2, wherein: the address and performance information includes an IP address, a MAC address, CPU information, memory information, and usage rate.
5. A method for analyzing mass data in an isolation network is characterized by comprising the following steps:
step 1, generating xml task files from data tasks to be executed in the network A, and adding a task ID number, an information source, a feedback section, a step section and a network section in each xml task file, wherein the step section is initially set to be executed in the network A, and the network section is initially set to be executed in the network A;
step 2, determining whether to shunt and the amount of the shunted tasks according to the size of the service resource load of the network A, if the shunting is determined to be needed, setting the step section of the shunted xml task file as 'B network execution' and then entering step 3, meanwhile, storing the result data into the feedback section of the xml task file after the network A executes the data query task, and then setting the step section of the non-shunted xml task file as 'completion' and then entering step 3;
step 3, analyzing the sent xml task file, entering step 4 when the state of the step section in the xml task file is 'B network execution' and the network section is 'A network' or the state of the step section is 'completion' and the network section is 'B network', entering step 5 when the state of the step section in the xml task file is 'B network execution' and the network section is 'B network', and entering step 6 when the state of the step section in the xml task file is 'completion' and the network section is 'A network';
step 4, judging the state of the network segment of the received xml task file, setting the network segment of the xml task file to be sent as 'B network' when the network segment of the xml task file is 'A network', and returning to the step 3, or setting the network segment of the xml task file to be sent as 'A network' when the network segment of the xml task file is 'B network', and returning to the step 3;
step 5, receiving the xml task file of which the step section is 'B network execution', uniformly distributing the task file to the corresponding server for execution according to the address and the performance information of each server, storing the result data obtained after the execution into the feedback section of the corresponding xml task file, setting the step section of the xml task file as 'completion', and returning to the step 3;
and 6, acquiring the xml task file with the step section of 'finished' in real time, and feeding back result data obtained in the feedback section according to the task ID and the information source.
6. The method for analyzing mass data in an isolated network according to claim 5, wherein in step 5, the address and performance information of each server are stored in the form of an address table.
7. The method for analyzing the mass data in the isolated network according to claim 5 or 6, wherein the address and performance information includes an IP address, an MAC address, CPU information, memory information and a utilization rate.
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