WO2021057198A1 - Big data-based cross-domain service whole-process routing and penetration method and apparatus - Google Patents

Abstract

The present application relates to a big data-based cross-domain service whole-process routing and penetration method and apparatus, an electronic device, and a storage medium. The method comprises: a cross-domain service routing concatenation step, in which a basic circuit information table and a cross-domain connection table are used as an input, and cross-domain service routing concatenation is achieved according to a preset circuit routing automatic concatenation algorithm; and a graph database-based collusion step, in which routing information and A and Z end data of cross-domain service routing after concatenation is complete are stored in a database and same is converted into a graph database, and cross-domain service routing collusion is completed on the basis of a graph database traversal algorithm. The present disclosure reduces the time spent on data census on the basis of big data analysis, reduces manual entry, saves on manpower and improves data accuracy, which is helpful in reducing costs, increasing efficiency and improving practicability.

Description

Method and device for whole-process routing penetration of cross-domain business based on big data

Cross-references to related applications

This application claims the priority of the Chinese patent application filed on September 27, 2019 with the application number 201910921000.8 and the invention title of "Big data-based cross-domain business routing and penetration method and device", which is fully incorporated by reference This article.

Technical field

The present disclosure relates to the field of communication networks, and in particular, to a method, device, electronic device, and computer-readable storage medium for whole-process routing and penetration of cross-domain services based on big data.

Background technique

In order to monitor whether the communication service is normal, it is necessary to quickly and accurately grasp each routing node in the communication line. The fast and accurate acquisition of transmission circuit routing will directly affect the accuracy of service monitoring and rapid fault location.

Communication networks are becoming more and more complex. 2G, 3G, 4G and even 5G coexist. Huawei, ZTE, Fiberhome and other vendors coexist. The wireless network, core network, data network, transmission network and other networks are coordinated, even if the transmission network can be subdivided. It is SDH network, PTN network, OTN network, PON network, etc. However, different regions, different professions, and different types of network management are all integrated into a chimney shape and cannot be uniformly run through.

At present, there are two ways to penetrate various types of business:

1) During business scheduling, multiple disciplines are run through the workflow, and each discipline maintains content related to itself, and cross-professional associations are made during construction; such as basic ODF, DDF and other dumb resource data are inaccurate, which will lead to inaccurate maintenance of resources after construction. quasi;

2) After the business scheduling is completed, it is difficult to coordinate the various professionals. On the other hand, even if the personnel are coordinated, there are differences in the naming or cognition of the same resource, resulting in inconsistencies between the maintenance data and the actual data on site;

Both maintenance methods rely on manual maintenance and manual cascading. The labor investment is huge and the efficiency is low, and cannot meet the needs of rapid positioning.

Therefore, one or more methods are needed to solve the above-mentioned problems.

It should be noted that the information disclosed in the background art section above is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to those of ordinary skill in the art.

Summary of the invention

The purpose of the present disclosure is to provide a method, device, electronic device, and computer-readable storage medium for whole-process routing and penetration of cross-domain services based on big data, so as to overcome at least one or the other caused by the limitations and defects of related technologies to a certain extent. Multiple questions.

According to one aspect of the present disclosure, a method for whole-process routing and penetration of cross-domain services based on big data is provided, which includes:

The step of cross-domain service routing serial connection takes the basic circuit information table and the cross-domain connection table as input, and realizes the cross-domain service routing serial connection according to the preset circuit routing automatic serial connection algorithm;

Based on the graph database collusion step, the routing information and the A, Z end data of the cross-domain service routing after the concatenation are stored in the database and converted to the graph database. Based on the graph database traversal algorithm, the cross-domain service routing collusion is completed.

In an exemplary embodiment of the present disclosure, the cross-domain service routing concatenation step further includes:

The business information in the circuit basic information table includes the circuit code, the city to which it belongs, the network element of the circuit A side, the circuit A port, the time slot of the circuit A, the network element of the circuit Z, the port of the circuit Z, and the time of the circuit Z. Gap.

In an exemplary embodiment of the present disclosure, the cross-domain service routing concatenation step further includes:

The service information in the cross-domain connection table includes A-end network element, A-end port, Z-end network element, and Z-end port.

In an exemplary embodiment of the present disclosure, the preset circuit routing automatic concatenation algorithm in the cross-domain service routing concatenation step further includes:

In the resource query step, query the resource ID in the corresponding table according to the port or time slot 1 in the circuit basic information table;

In the channel query step, query the resource ID of the opposite end in the channel table according to the acquired ID, if not, execute the channel concatenation step; if yes, execute the resource judgment step;

Channel serial connection step, if successful, execute the resource judgment step after obtaining the peer ID; if it fails, it is judged whether it is the first stage; if it is the first stage, the serial connection fails; if it is not the first stage, the exception handling step is executed;

Resource judging step, judging whether the resource ID is port or time slot 2, if yes, complete the cross-domain service routing serial connection; if not, execute the exception handling step;

In the data processing check step, query whether there is data according to the resource ID to the topology connection, if not, execute the exception handling step; if so, obtain the resource ID of the opposite port or time slot, and execute the channel query step;

In the abnormal handling step, return to the channel query step to determine whether there are other paths. If there is no other path, execute the resource query step, and record the point in series at the time of the original abnormality.

In an exemplary embodiment of the present disclosure, the channel query step further includes:

When you execute the query again with the same resource ID, you need to select a channel other than the first time.

In an exemplary embodiment of the present disclosure, the data processing and checking step includes:

The time slot requirements for obtaining the opposite end are consistent with the VC4NO and VC12NO of the time slot data at the local end.

In an exemplary embodiment of the present disclosure, the graph-based database collusion step includes:

Each Node saves the first Property and the first Relationship:

Starting from Node-B, you can traverse all the relationships of Node-B through the next pointer of the relationship, and then you can reach the first-level Nodes that have a relationship with it. By traversing the relationship between the first-level Nodes, you can reach the second-level Nodes, Repeat this way until you find the Z end of the circuit.

In one aspect of the present disclosure, a device for whole-process routing and penetration of cross-domain services based on big data is provided, including:

The cross-domain service routing serial connection module is configured to take the basic circuit information table and the cross-domain connection table as input, and realize the cross-domain service routing serial connection according to the preset circuit routing automatic serial connection algorithm;

Based on the graph database collusion module, it is configured to store the routing information and the A, Z end data of the cross-domain business routing after the concatenation is completed and convert it to the graph database, and complete the cross-domain business routing collusion based on the graph database traversal algorithm.

In one aspect of the present disclosure, an electronic device is provided, including:

Processor; and

A memory, where computer-readable instructions are stored, and when the computer-readable instructions are executed by the processor, the method according to any one of the foregoing is implemented.

In one aspect of the present disclosure, there is provided a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method according to any one of the above is implemented.

The present disclosure relates to a method, device, electronic device, and storage medium for whole-process routing and penetration of cross-domain services based on big data. Wherein, the method includes: cross-domain service routing concatenation step, taking circuit basic information table and cross-domain connection table as input, and realizing cross-domain service routing concatenation according to preset circuit routing automatic concatenation algorithm; based on graph database collusion step , After completing the concatenation, the routing information and the A and Z end data of the cross-domain business routing are stored in the database and converted to the graph database. Based on the graph database traversal algorithm, the cross-domain business routing collusion is completed. The present disclosure reduces the time spent on data census based on big data analysis, reduces manual input, saves manpower and improves data accuracy, helps reduce costs, increase efficiency, and improve practicability.

It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure.

Description of the drawings

By describing its exemplary embodiments in detail with reference to the accompanying drawings, the above and other features and advantages of the present disclosure will become more apparent.

Fig. 1 shows a flow chart of a method for whole-process routing and penetration of cross-domain services based on big data according to an exemplary embodiment of the present disclosure;

Fig. 2 shows a schematic block diagram of a big data-based cross-domain service whole-process routing and penetration device according to an exemplary embodiment of the present disclosure;

3A-3C show graph database processing diagrams of a cross-domain service routing and penetration method based on big data according to an exemplary embodiment of the present disclosure;

FIG. 4 shows a full flow chart of a method for whole-process routing and penetration of cross-domain services based on big data according to an exemplary embodiment of the present disclosure;

Fig. 5 schematically shows a block diagram of an electronic device according to an exemplary embodiment of the present disclosure; and

Fig. 6 schematically shows a schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure.

detailed description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms, and should not be construed as being limited to the embodiments set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be comprehensive and complete, and fully convey the concept of the example embodiments To those skilled in the art. In the drawings, the same reference numerals denote the same or similar parts, and thus their repeated description will be omitted.

In addition, the described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to give a sufficient understanding of the embodiments of the present disclosure. However, those skilled in the art will realize that the technical solutions of the present disclosure can be practiced without one or more of the specific details, or other methods, components, materials, devices, steps, etc. can be used. In other cases, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the present disclosure.

The block diagrams shown in the drawings are merely functional entities, and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in the form of software, or implemented in one or more software-hardened modules, or part of these functional entities, or in different networks and/or processor devices and/or microcontroller devices. Realize these functional entities.

In this exemplary embodiment, first, a big data-based cross-domain service full routing and penetration method is provided; referring to FIG. 1, the big data-based cross-domain service full routing and penetration method may include the following steps:

Cross-domain service routing serial connection step S110, taking the circuit basic information table and the cross-domain connection table as input, and realizing the cross-domain service routing serial connection according to the preset circuit routing automatic serial connection algorithm;

Based on the graph database collusion step S120, the routing information and the A and Z end data of the cross-domain service routing after concatenation are stored in the database and converted to the graph database, and the cross-domain service routing collusion is completed based on the graph database traversal algorithm.

The present disclosure relates to a method, device, electronic equipment and storage medium for whole-process routing and penetration of cross-domain services based on big data. Wherein, the method includes: cross-domain service routing concatenation step, taking circuit basic information table and cross-domain connection table as input, and realizing cross-domain service routing concatenation according to preset circuit routing automatic concatenation algorithm; based on graph database collusion step , After completing the concatenation, the routing information and the A and Z end data of the cross-domain business routing are stored in the database and converted to the graph database. Based on the graph database traversal algorithm, the cross-domain business routing collusion is completed. The present disclosure reduces the time spent on data census based on big data analysis, reduces manual input, saves manpower and improves data accuracy, helps reduce costs, increase efficiency, and improve practicability.

In the following, the method for whole-process routing and penetration of cross-domain services based on big data in this exemplary embodiment will be further described.

Mobile network resources are the basis for telecommunications companies to provide services to the outside world. Making full use of network resources and improving resource management and utilization efficiency are the keys to enterprise informatization. With the rapid development of communication technology and the increasing complexity of communication networks, it is more and more important to improve production efficiency, which can enhance the full-service competitiveness of operators.

In step S110 of the cross-domain service routing serial connection, the basic circuit information table and the cross-domain connection table may be used as input, and the cross-domain service routing serial connection can be realized according to the preset circuit routing automatic serial connection algorithm.

In the embodiment of this example, the existing solution requires people to maintain the circuit routing information through application or manually, and the matching relationship between the circuit routing and the circuit and the channel needs to be considered during the maintenance. Therefore, the complexity is high and errors are prone to errors. The new scheme only requires maintenance personnel to operate the basic circuit information and cross-domain connection of the two tables. Through table comparison, it can be found that the amount of maintenance information is greatly reduced, and maintenance personnel do not need to care about the association relationship between different tables. These are all solved through technology, and the complexity is greatly reduced.

In the embodiment of this example, the cross-domain service routing concatenation step further includes:

The business information in the circuit basic information table includes the circuit code, the city to which it belongs, the network element of the circuit A side, the circuit A port, the time slot of the circuit A, the network element of the circuit Z, the port of the circuit Z, and the time of the circuit Z. Gap.

Serial number	Attribute category		Attribute name
1	Business attributes	Circuit code
2	Business attributes	City
3	Business attributes	Circuit A-side network element
4	Business attributes	Circuit A port
5	Business attributes	Time slot of circuit A
6	Business attributes	Circuit Z end network element
7	Business attributes	Circuit Z terminal port
8	Business attributes	Time slot of circuit Z

In the embodiment of this example, the cross-domain service routing concatenation step further includes:

The service information in the cross-domain connection table includes A-end network element, A-end port, Z-end network element, and Z-end port.

Serial number	Attribute category		Attribute name
1	Business attributes	A-side network element
2	Business attributes	Port A
3	Business attributes	Z-end network element

4

Business attributes

Z port

In the embodiment of this example, the preset circuit routing automatic serial connection algorithm in the cross-domain service routing serial connection step further includes:

In the resource query step, query the resource ID in the corresponding table according to the port or time slot 1 in the circuit basic information table;

In the channel query step, query the resource ID of the opposite end in the channel table according to the acquired ID, if not, execute the channel concatenation step; if yes, execute the resource judgment step;

Channel serial connection step, if successful, execute the resource judgment step after obtaining the peer ID; if it fails, it is judged whether it is the first stage; if it is the first stage, the serial connection fails; if it is not the first stage, the exception handling step is executed;

Resource judging step, judging whether the resource ID is port or time slot 2, if yes, complete the cross-domain service routing serial connection; if not, execute the exception handling step;

Data processing check step, query whether there is data according to the resource ID to the topology connection, if not, execute the exception handling step; if so, obtain the resource ID of the opposite port or time slot, and execute the channel query step;

In the abnormal handling step, return to the channel query step to determine whether there are other paths. If there is no other path, execute the resource query step, and record the point in series at the time of the original abnormality.

In the embodiment of this example, the channel query step further includes:

When you execute the query again with the same resource ID, you need to select a channel other than the first time.

In the embodiment of this example, the data processing and checking step includes:

The time slot requirements for obtaining the opposite end are consistent with the VC4NO and VC12NO of the time slot data at the local end.

In the graph database-based collusion step S120, the routing information and the A and Z end data of the cross-domain service routing after the concatenation can be stored and converted to the graph database, and the cross-domain service routing collusion is completed based on the graph database traversal algorithm.

In the embodiment of this example, the information level of circuit information, circuit routing information, channel information, and channel routing information in the entire routing of cross-domain circuits increases exponentially. The collusion method not only requires a lot of maintenance work, but also has complex calculations and efficiency. low. Calculating this information through large database technology and graph database technology can greatly increase the computing speed. It originally took 1 minute to collude with a cross-domain circuit, but only 0.5 seconds after using the new technology.

In the embodiment of this example, the manually maintained circuits, cross-domain connections, and collected channels and channel routing information of the A and Z end data are stored in the relational database, and then converted to the neo4j graph database to form a relationship such as As shown in FIG. 3A, A to E in the figure represent the numbers of the nodes at the A and Z ends of the circuit, cross-domain connection, channel, and channel routing information, R1 to R7 represent the relationship numbers, and P1 to P10 represent the property numbers.

In the embodiment of this example, as shown in FIGS. 3B-3C, the graph-based database collusion step includes:

Each Node saves the first Property and the first Relationship:

Starting from Node-B, you can traverse all the relationships of Node-B through the next pointer of the relationship, and then you can reach the first-level Nodes that have a relationship with it. By traversing the relationship between the first-level Nodes, you can reach the second-level Nodes, Repeat this way until you find the Z end of the circuit.

In the embodiment of this example, as shown in FIG. 4, it is a full flow chart of a cross-domain service routing and penetration method based on big data. According to the method of the present disclosure, automatic concatenation of cross-domain service routing can be realized, not only Ensuring the accuracy of routing can also reduce the workload of manual maintenance, reduce the time spent on business connection, reduce manpower input, and reduce costs and increase efficiency.

In the embodiment of this example, the present disclosure provides a big data-based intelligent calculation method for the whole-process routing of cross-domain services. The method is based on big data analysis technology and is simple and easy for operators to produce support personnel, monitoring personnel, and business analysts. The method used is an example of aggregation of data/applications in the OSS field; cross-professional and cross-network management aggregation of data and applications, based on big data analysis, graph database and other technologies to achieve accurate identification and efficient reflection of business routing (see the summary for the calculation process) Figure 1). The invention is based on big data analysis to reduce the time spent on data census, reduce manual entry, save manpower and improve data accuracy, help reduce costs and increase efficiency, and have strong practicability.

It should be noted that although the various steps of the method in the present disclosure are described in a specific order in the drawings, this does not require or imply that these steps must be performed in the specific order, or that all the steps shown must be performed. Achieve the desired result. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step for execution, and/or one step may be decomposed into multiple steps for execution, etc.

In addition, in this exemplary embodiment, a device for routing and penetrating cross-domain services based on big data is also provided. Referring to FIG. 2, the big data-based cross-domain service whole-process routing and penetration device 200 may include: a cross-domain service routing concatenation module 210 and a graph database-based concatenation module 220. among them:

The cross-domain service routing serial connection module 210 is configured to take the circuit basic information table and the cross-domain connection table as input, and realize the cross-domain service routing serial connection according to the preset circuit routing automatic serial connection algorithm;

Based on the graph database collusion module 220, it is configured to store the routing information and A and Z end data of the cross-domain service routing after concatenation into the database and convert it to the graph database, and complete the cross-domain service routing collusion based on the graph database traversal algorithm.

The specific details of each of the above-mentioned big data-based cross-domain service full-process routing and penetration device modules have been described in detail in the corresponding big data-based cross-domain service full-process routing and penetration method, and therefore will not be repeated here.

It should be noted that although the big data-based cross-domain service routing throughout the several modules or units of the device 200 is mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of a module or unit described above can be further divided into multiple modules or units to be embodied.

In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

Those skilled in the art can understand that various aspects of the present invention can be implemented as a system, a method, or a program product. Therefore, various aspects of the present invention can be specifically implemented in the following forms, namely: a complete hardware embodiment, a complete software embodiment (including firmware, microcode, etc.), or a combination of hardware and software embodiments, which may be collectively referred to herein as "Circuit", "Module" or "System".

The electronic device 500 according to this embodiment of the present invention will be described below with reference to FIG. 5. The electronic device 500 shown in FIG. 5 is only an example, and should not bring any limitation to the function and application scope of the embodiment of the present invention.

As shown in FIG. 5, the electronic device 500 is represented in the form of a general-purpose computing device. The components of the electronic device 500 may include, but are not limited to: the aforementioned at least one processing unit 510, the aforementioned at least one storage unit 520, a bus 550 connecting different system components (including the storage unit 520 and the processing unit 510), and a display unit 540.

Wherein, the storage unit stores program code, and the program code can be executed by the processing unit 510, so that the processing unit 510 executes the various exemplary methods described in the "Exemplary Method" section of this specification. Example steps. For example, the processing unit 510 may perform step S110 to step S120 as shown in FIG. 1.

The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 5201 and/or a cache storage unit 5202, and may further include a read-only storage unit (ROM) 5203.

The storage unit 520 may also include a program/utility tool 5204 having a set of (at least one) program module 5203. Such program module 5203 includes but is not limited to: an operating system, one or more application programs, other program modules, and program data. Each of these examples or some combination may include the implementation of a network environment.

The bus 530 may represent one or more of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local area using any bus structure among multiple bus structures. bus.

The electronic device 500 may also communicate with one or more external devices 570 (such as keyboards, pointing devices, Bluetooth devices, etc.), and may also communicate with one or more devices that enable a user to interact with the electronic device 500, and/or communicate with Any device (such as a router, modem, etc.) that enables the electronic device 500 to communicate with one or more other computing devices. Such communication can be performed through an input/output (I/O) interface 550. In addition, the electronic device 500 may also communicate with one or more networks (for example, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 560. As shown in the figure, the network adapter 560 communicates with other modules of the electronic device 500 through the bus 550. It should be understood that although not shown in the figure, other hardware and/or software modules can be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.

Through the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described here can be implemented by software, or can be implemented by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network , Including several instructions to make a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiment of the present disclosure.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of this specification is stored. In some possible embodiments, various aspects of the present invention may also be implemented in the form of a program product, which includes program code, and when the program product runs on a terminal device, the program code is used to enable the The terminal device executes the steps according to various exemplary embodiments of the present invention described in the above-mentioned "Exemplary Method" section of this specification.

Referring to FIG. 6, a program product 600 for implementing the above method according to an embodiment of the present invention is described. It can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be installed in a terminal device, For example, running on a personal computer. However, the program product of the present invention is not limited to this. In this document, the readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or combined with an instruction execution system, device, or device.

The program product can use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or a combination of any of the above. More specific examples (non-exhaustive list) of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable Type programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.

The computer-readable signal medium may include a data signal propagated in baseband or as a part of a carrier wave, and readable program code is carried therein. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The readable signal medium may also be any readable medium other than a readable storage medium, and the readable medium may send, propagate, or transmit a program for use by or in combination with the instruction execution system, apparatus, or device.

The program code contained on the readable medium can be transmitted by any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

The program code used to perform the operations of the present invention can be written in any combination of one or more programming languages. The programming languages include object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural styles. Programming language-such as "C" language or similar programming language. The program code can be executed entirely on the user's computing device, partly on the user's device, executed as an independent software package, partly on the user's computing device and partly executed on the remote computing device, or entirely on the remote computing device or server Executed on. In the case of a remote computing device, the remote computing device can be connected to a user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (for example, using Internet service providers). Business to connect via the Internet).

In addition, the above-mentioned drawings are merely schematic illustrations of the processing included in the method according to the exemplary embodiment of the present invention, and are not intended for limitation. It is easy to understand that the processing shown in the above drawings does not indicate or limit the time sequence of these processings. In addition, it is easy to understand that these processes can be executed synchronously or asynchronously in multiple modules, for example.

Those skilled in the art will easily think of other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptive changes of the present disclosure. These variations, uses, or adaptive changes follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field that are not disclosed in the present disclosure. . The description and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims.

It should be understood that the present disclosure is not limited to the precise structure that has been described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is limited only by the appended claims.

Claims (10)

1. A method for whole-process routing and penetration of cross-domain services based on big data, which is characterized in that the method includes:

   The step of cross-domain service routing serial connection takes the basic circuit information table and the cross-domain connection table as input, and realizes the cross-domain service routing serial connection according to the preset circuit routing automatic serial connection algorithm;

   Based on the graph database collusion step, the routing information and the A, Z end data of the cross-domain service routing after the concatenation are stored in the database and converted to the graph database. Based on the graph database traversal algorithm, the cross-domain service routing collusion is completed.
2. The method according to claim 1, wherein the step of concatenating the cross-domain service routing further comprises:

   The business information in the circuit basic information table includes the circuit code, the city to which it belongs, the network element of the circuit A side, the circuit A port, the time slot of the circuit A, the network element of the circuit Z, the port of the circuit Z, and the time of the circuit Z. Gap.
3. The method according to claim 1, wherein the step of concatenating the cross-domain service routing further comprises:

   The service information in the cross-domain connection table includes A-end network element, A-end port, Z-end network element, and Z-end port.
4. 8. The method according to claim 1, wherein the pre-set circuit routing automatic serial connection algorithm in the cross-domain service routing serial connection step further comprises:

   In the resource query step, query the resource ID in the corresponding table according to the port or time slot 1 in the circuit basic information table;

   In the channel query step, query the resource ID of the opposite end in the channel table according to the acquired ID, if not, execute the channel concatenation step; if yes, execute the resource judgment step;

   Channel serial connection step, if successful, execute the resource judgment step after obtaining the peer ID; if it fails, it is judged whether it is the first stage; if it is the first stage, the serial connection fails; if it is not the first stage, the exception handling step is executed;

   Resource judging step, judging whether the resource ID is port or time slot 2, if yes, complete the cross-domain service routing serial connection; if not, execute the exception handling step;

   In the data processing check step, query whether there is data according to the resource ID to the topology connection, if not, execute the exception handling step; if so, obtain the resource ID of the opposite port or time slot, and execute the channel query step;

   In the abnormal handling step, return to the channel query step to determine whether there are other paths. If there is no other path, execute the resource query step, and record the point in series at the time of the original abnormality.
5. The method according to claim 4, wherein the channel query step further comprises:

   When you execute the query again with the same resource ID, you need to select a channel other than the first time.
6. The method of claim 4, wherein the data processing and checking step comprises:

   The time slot requirements for obtaining the opposite end are consistent with the VC4NO and VC12NO of the time slot data at the local end.
7. The method according to claim 1, wherein the step of colluding based on the graph database comprises:

   Each Node saves the first Property and the first Relationship:

   Starting from Node-B, you can traverse all the relationships of Node-B through the next pointer of the relationship, and then you can reach the first-level Nodes that have a relationship with it. By traversing the relationship between the first-level Nodes, you can reach the second-level Nodes, Repeat this way until you find the Z end of the circuit.
8. A big data-based cross-domain service whole-process routing and penetration device, which is characterized in that the device includes:

   The cross-domain service routing serial connection module is configured to take the basic circuit information table and the cross-domain connection table as input, and realize the cross-domain service routing serial connection according to the preset circuit routing automatic serial connection algorithm;

   Based on the graph database collusion module, it is configured to store the routing information and the A, Z end data of the cross-domain business routing after the concatenation is completed and convert it to the graph database, and complete the cross-domain business routing collusion based on the graph database traversal algorithm.
9. An electronic device, characterized in that it comprises

   Processor; and

   A memory on which computer-readable instructions are stored, and when the computer-readable instructions are executed by the processor, the method according to any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is realized.

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