CN112291728A - Private industry application platform implementation architecture based on 5G network - Google Patents
Private industry application platform implementation architecture based on 5G network Download PDFInfo
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Abstract
The invention provides a private industry application platform implementation architecture based on a 5G network, which comprises a mobile edge computing platform and a cloud platform; the mobile edge computing platform is deployed in at least one computer terminal in a park, a PAAS enabling platform is deployed in the mobile edge computing platform, and the mobile edge computing platform is connected with the cloud platform through a 5G network; the PAAS enabling platform is used for providing a self-service interface and a tool set for a user; the cloud platform receives the processed data from the network edge node, stores and analyzes the data, and pushes the processed data to the mobile edge computing platform after upgrading the algorithm model, and the cloud platform is also used for providing data disaster recovery for the mobile edge computing platform; the invention effectively improves the intelligent level of the network, promotes the deep fusion of the network and the service, can eliminate the influence of transmission delay to the maximum extent, and can meet the service requirement of vertical industry for application of millisecond-level extremely low delay.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a private industry application platform implementation framework based on a 5G network.
Background
With the continuous development of cloud technology and wireless technology and the continuous innovation of business modes, a great number of new problems are generated: 1) due to the large-flow video roundabout route, the consumption of return bandwidth is too large, the transmission delay is large, and the service experience is poor; 2) the method that the terminal of the Internet of things is directly uploaded to the cloud side comprises the following steps: long-distance transmission, large time delay and slow response; the large number of terminals results in an increased network load (signaling/data); the large-flow monitoring video data, especially the static environment video (the scientific research value is low) are directly transmitted, so that the transmission bandwidth is increased, and the transmission efficiency is reduced; 3) the 5G core equipment is not in the park, so that the safety is low, the time delay is large, and the speed is correspondingly slow; 4) the application and deployment speed of the Internet of things is low, the cost is high, and the difficulty is high.
Disclosure of Invention
In view of the above shortcomings of the prior art, the present invention aims to provide a private industry application platform implementation architecture based on a 5G network, which improves the capability of rapid deployment of applications of the internet of things by combining mobile edge computing with a PAAS enabled platform.
In order to achieve the above objects and other related objects, the present invention provides a proprietary industry application platform implementation architecture based on 5G network, including: moving an edge computing platform and a cloud platform; the mobile edge computing platform is deployed in at least one computer terminal in a park, a PAAS (platform application as a service) enabling platform is deployed in the mobile edge computing platform, and the mobile edge computing platform is connected with the cloud platform through a 5G network and used for providing a deployment operation environment for service application localization and sinking a user plane gateway to a RAN (radio access network) side close to a user; the PAAS enabling platform is used for providing a self-service interface and a tool set for the user; the cloud platform is connected with a network edge node and used for receiving processing data from the network edge node, storing and analyzing the processing data, training and upgrading an algorithm model, and pushing the algorithm model to the mobile edge computing platform after being upgraded, and the cloud platform is also used for providing data disaster recovery for the mobile edge computing platform.
In one embodiment of the present invention, the mobile edge computing platform comprises, from bottom to top: an infrastructure layer, a container arrangement layer, a PAAS service layer, an interface and a tool layer; the infrastructure layer is used for providing a basic operation environment for the PAAS enabled platform; the container arrangement layer is formed by superposing and integrating Kubernets on the PAAS enabling platform; the PAAS service layer is used for providing support of various development languages, development frames, databases and middleware and directly providing services for the user; the PAAS enabled platform serves as the interface and tool layer.
In an embodiment of the present invention, the middleware includes: the system comprises a development framework, a development tool, an application server, a message queue, business process management, application monitoring, application performance management and distributed cache.
In an embodiment of the present invention, the infrastructure layer includes: physical machines, virtual machines, and public or hybrid clouds; the infrastructure layer supports different Linux operating systems.
In an embodiment of the present invention, the PAAS enabling platform supports containerization transformation of user applications in a programming language, and supports an automated process from a source code to a mirror image; the self-service interface supports the user's access to the container cloud in a variety of ways.
In an embodiment of the present invention, the plurality of modes include any one or more of the following combinations: web consoles, command lines, integrated development environments, and Restful style API service interfaces.
As described above, the implementation architecture of the private industry application platform based on the 5G network according to the present invention has the following beneficial effects:
(1) compared with the traditional deployment mode, the mobile edge computing enables the applications, services and contents to be deployed locally, in a close range and in a distributed manner by migrating the computing storage capacity and the service capacity to the network edge, so that the service requirements of technical scenes such as 5GeMBB, URLLC, mMTC and the like are met to a certain extent, meanwhile, the mobile edge computing realizes the perception and analysis of network context information by fully mining network data and information and is opened to third-party service applications, the intelligent level of the network is effectively improved, and the deep fusion of the network and the services is promoted; by constructing a uniform mobile edge computing platform, edge fusion of fixed and mobile networks is realized.
(2) The mobile edge computing provides a deployment operation environment for localization of novel service applications (such as AR/VR, local application in a park and the like) with requirements of low time delay, high speed and high computing complexity, and can meet the requirements of enterprise users on unified network communication and customization, and for URLLC services with lower time delay, the mobile edge computing can be sunk to a position closer to the edge of the network according to the time delay requirements, so that the influence of transmission time delay is eliminated to the maximum extent, and the service requirements with millisecond-level extremely low time delay are met.
(3) The mobile edge computing is combined with the PAAS enabling platform, the whole framework of the platform adopts an open framework, the performance is high, the expandability is realized, the data is generated in one point and is shared globally, the core business system application is borne based on the same bottom platform framework, and the platform has the characteristics of platform and application decoupling, hardware and software decoupling, infrastructure clouding, platform continuous evolution, core framework autonomous control, application rapid construction and the like.
Drawings
Fig. 1 is a schematic structural diagram of a private industry application platform implementation architecture based on a 5G network according to an embodiment of the present invention.
FIG. 2 is a block diagram of a mobile edge computing platform according to an embodiment of the invention.
Fig. 3 is a network architecture diagram illustrating an implementation architecture of the proprietary industry application platform based on 5G network according to an embodiment of the present invention.
Fig. 4 is a network architecture diagram of another embodiment of the proprietary industry application platform implementation architecture based on 5G network according to the present invention.
FIG. 5 is a schematic diagram of an embodiment of a mobile edge computing platform according to the present invention.
Fig. 6 is a schematic structural diagram of a 5G network-based private industry application platform implementation architecture in another embodiment.
Description of the reference symbols
1 moving an edge computing platform;
101 an infrastructure layer;
102 a container arrangement layer;
103 PAAS service layer;
104 interface and tool layers;
2, a cloud platform;
3 PAAS enabled platform.
Detailed Description
The following description of the embodiments of the present invention is provided by way of specific examples, and other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than being drawn according to the number, shape and size of the components in actual implementation, and the type, number and proportion of the components in actual implementation may be changed arbitrarily, and the layout of the components may be more complicated.
Compared with the traditional deployment mode, the private industry application platform implementation architecture based on the 5G network has the advantages that the mobile edge computing migrates the computing storage capacity and the business service capacity to the edge of the network, so that the application, the service and the content can be deployed locally, closely and distributively, the business requirements of technical scenes such as 5GeMBB, URLLC and mMTC are met to a certain extent, meanwhile, the mobile edge computing realizes the perception and analysis of network context information by fully mining network data and information and is opened for third-party business application, the intelligentization level of the network is effectively improved, and the deep fusion of the network and the business is promoted; by constructing a uniform mobile edge computing platform, edge fusion of fixed and mobile networks is realized; the mobile edge computing provides a deployment operation environment for localization of novel service applications (such as AR/VR, local application in a park and the like) with requirements of low time delay, high speed and high computing complexity, and can meet the requirements of enterprise users on unified network communication and customization, and for URLLC services with lower time delay, the mobile edge computing can be sunk to a position closer to the network edge according to the time delay requirements, so that the influence of transmission time delay is eliminated to the maximum extent, and the service requirements of millisecond-level extremely low time delay are met; the mobile edge computing is combined with the PAAS enabling platform, the whole framework of the platform adopts an open framework, the performance is high, the expandability is realized, the data is generated in one point and is shared globally, the core business system application is borne based on the same bottom platform framework, and the platform has the characteristics of platform and application decoupling, hardware and software decoupling, infrastructure clouding, platform continuous evolution, core framework autonomous control, application rapid construction and the like.
As shown in fig. 1, in an embodiment, the architecture for implementing a 5G network-based private industry application platform of the present invention includes a mobile edge computing platform 1 and a cloud platform 2.
Specifically, the mobile edge computing platform 1 is deployed in at least one computer terminal in a campus, thereby facilitating rapid development of industrial applications in the campus and realizing integration of development, operation and maintenance, the PAAS enabling platform 3 is deployed in the mobile edge computing platform 1, and the mobile edge computing platform 1 is connected with the cloud platform 2 through a 5G network, and is used for providing a deployment operation environment for service application localization and sinking a user plane gateway to a RAN side close to a user.
It should be noted that the mobile edge computing platform 1 and the cloud platform 2 need to form a close cooperative relationship, and have a multi-layer layout of centers, areas, edges, and even multiple access modes, so as to jointly construct a compact, quick, open, and intensive elastic network.
Specifically, the mobile edge computing platform 1 and the cloud platform 2 are connected through a 5G network, and an end-to-end cloud network collaborative deployment mode is adopted, so that the face-to-face service experience is provided, and 5G service deployment is realized in a collaborative and integrated mode.
Further, the mobile edge computing platform 1 sinks the user plane gateway to the RAN side close to the user, so that on one hand, local caching, forwarding, computing, controlling and customizing development are performed on the basic type and general type applications of the cloud end platform 2, and on the other hand, local personalized services are supported, especially services with obvious regional characteristics, high bandwidth and high time delay sensitivity are provided.
IT should be noted that Mobile Edge Computing (MEC) can provide services and cloud Computing functions required by IT of telecommunication users nearby by using a wireless access network, so as to create a telecommunication-level service environment with high performance, low delay and high bandwidth, accelerate the rapid downloading of various contents, services and applications in the network, and enable consumers to enjoy uninterrupted high-quality network experience; the MEC is a distributed computing, which collects data nearby at the nodes at the edge of the 5G network and processes it (the distance from the network edge nodes to the data collection end does not exceed 20 km), without transferring a large amount of data to the central core platform, and according to the definition of ETSI (european telecommunications standards institute), the MEC has 7 large adaptation scenarios, which are:
(1) video optimization: and deploying wireless analysis application at the edge to assist TCP congestion control and code rate adaptation.
(2) Augmented reality: the edge application quickly processes the user position and the camera image and provides auxiliary information for the user in real time.
(3) Networking of vehicles: and the MEC analyzes data of the vehicle and the roadside sensor and sends dangerous equal-time delay sensitive information to the surrounding vehicles.
(4) The Internet of things: the MEC application aggregates, analyzes the device-generated messages and makes decisions in time.
(5) Video stream analysis: and the video is analyzed and processed at the edge, so that the cost of video acquisition equipment is reduced, and the flow sent to a core network is reduced.
(6) Auxiliary sensitive calculation: the MEC provides high-performance calculation, executes delay-sensitive data processing, and feeds back the result to the end device.
(7) Enterprise shunting: and shunting the user plane traffic to the enterprise network.
The PAAS enabling platform 3 is used for providing a self-service interface and a tool set for the user; the cloud platform 2 is connected with a network edge node and used for receiving processing data from the network edge node, storing and analyzing the processing data, training and upgrading an algorithm model, pushing the algorithm model to the mobile edge computing platform 1 after upgrading the algorithm model, promoting the updating and upgrading of front-end equipment and completing an autonomous learning closed loop; in addition, the cloud platform is further configured to provide data disaster recovery for the mobile edge computing platform 1.
The data disaster recovery is called data disaster backup, and refers to a process of copying a whole system or a part of data sets from a hard disk or an array of an application host to another storage medium in order to prevent data loss caused by an operation error or a system failure.
It should be noted that, by combining the MEC with the PAAS enabling platform, not only can the rapid deployment of the application of the internet of things be improved, but also the deployment benefit can be effectively improved, and the repeated investment can be reduced.
As shown in fig. 2, in one embodiment, the mobile edge computing platform 1 comprises, from bottom to top: infrastructure layer 101, container orchestration layer 102, PAAS service layer 103, interface and tools layer 104.
The infrastructure layer 101 is configured to provide a basic operating environment for the PAAS enabled platform 3.
In one embodiment, the infrastructure layer 101 includes, but is not limited to, physical machines, virtual machines, and public or hybrid clouds; the infrastructure layer supports different Linux operating systems, such as RHEL, CentOS or Atomic Host (RH is optimized for container cloud), provides a highly consistent environment for the operation of a containerized application system, and ensures the stability and safety in a large-scale production environment.
The container arrangement layer 102 is formed by overlaying integrated kubernets on the PAAS enabled platform 3.
It should be noted that kubernets, abbreviated as K8s, is an abbreviation formed by replacing 8 characters "ubernet" with 8, is an open source, and is used for managing containerized applications on multiple hosts in a cloud platform, and the kubernets aims to make deploying containerized applications simple and efficient (powerfull), and provides a mechanism for application deployment, planning, updating, and maintenance, and can meet the requirements for container scheduling and deployment in a large-scale cluster environment; specifically, Kubernets are superposed and integrated on the PAAS enabling platform 3, and mechanisms such as Pod, Namespace, Replication Controller and the like are introduced, so that the arrangement and resource scheduling of application container instances are realized, and various PAAS capabilities called by upper-layer applications are constructed by combining various mature mirror images.
It should be noted that containerization enables the consistent operation of the mirror images in development, test and production environments, and meets the business requirements of rapid iteration of many internet enterprises; specifically, the mobile edge computing platform 1 takes Docker as a container engine of the platform.
It should be noted that Docker is a currently mainstream container engine, which has been verified in multiple scenes and environments, and has the capability of providing a safe, stable, flexible, and high-performance operating environment for applications; in view of providing the broadest compatibility, existing huge mirror resources supporting Docker based on native Docker are seamlessly accessed to the PAAS enabled platform 3.
The PAAS service layer 103 is used for providing support of various development languages, development frameworks, databases and middleware and directly providing services for the users.
It should be noted that the PAAS service layer 103 provides various common development languages, development frameworks, databases, and middleware supports to improve the efficiency and efficiency of application development, deployment, and operation and maintenance, and the application system can be rapidly deployed based on the PAAS service layer 103 to rapidly obtain a database, a distributed cache, or a business rule engine service.
Further, besides the community mirror image of Docker Hub, the PAAS service layer 103 may also support a commercialized mirror image, such as containerized middleware like JBoss of RH, and may also directly provide services to users, such as DBaaS, APMaaS, or Redis-aaS.
In one embodiment, the middleware includes, but is not limited to, development framework, development tools, application servers, Message Queues (MQ), Business Process Management (BPM), application monitoring, Application Performance Management (APM), distributed caching, and like commercial solutions.
The PAAS enabled platform 3 serves as the interface and tool layer 104.
Specifically, the PAAS enabled platform 3 pair standard mainstream cloud services, as the interface and tool layer 104, is configured to provide a self-service interface and a tool set for the user, reduce the operation and maintenance cost, and improve the service efficiency and the service effect.
In an embodiment, the PAAS enabled platform 3 supports containerization modification of user applications in a programming language, and supports automated flow from source code to image.
It should be noted that the PAAS enabled platform 3 supports containerization modification of user applications in mainstream programming languages such as Java, Python, and PHP, and supports an automation process from a Source code to a mirror Image (S2I), and a user can directly use S2I or integrate an existing process with S2I, thereby implementing continuous integration and continuous delivery (CI/CD) of a development process, improving automation degrees of development, testing, and deployment, and finally improving efficiency of development, testing, and deployment.
In one embodiment, the self-service interface supports the user's access to the container cloud in a variety of ways.
In one embodiment, the plurality of modes includes any one or more of the following combinations: web consoles, command lines, integrated development environments, and Restful style API service interfaces.
Further, aiming at the operation and maintenance requirements of containerized applications and clusters, Application Performance Management (APM), an automatic management tool, log collection and analysis and related operation and maintenance management kits and the like are provided, and the users of the application system are supported to complete daily operation and maintenance and various guarantee tasks of the application system and the clusters.
It should be noted that, the architecture is implemented for the private industry application platform based on the 5G network, based on the original MEC architecture and the 5G network, the MEC is deployed in the campus nearby by using the high bandwidth of 5G, and when facing the services of large flow, low delay, local generation and local termination, the adopted mobile 5G network has the capabilities of local distribution and local deployment of service application; when a large number of terminals are connected and sensing data are various, the mobile 5G network has functions of local data aggregation/processing and the like, and has the advantages of reducing network load and improving transmission efficiency; because the data can not be sent out of the park, the network expansibility, the optimal time delay and other performances are improved; the benefit of the application of the Internet of things is improved, the application deployment is accelerated, and the difficulty of the deployment is reduced.
The implementation architecture of the private industry application platform based on the 5G network of the present invention is further explained by the specific embodiments below.
As shown in fig. 3, in an embodiment, the MEC nodes are deployed in the campus and directly connected to the B devices, but the intranet data of the architecture needs to enter the large network and then be transmitted back to the intranet platform.
As shown in fig. 4, in an embodiment, the MEC node and the 5G-a2 device are deployed in the campus, so that the architecture ensures that intranet data does not enter the large network and data security is good.
It should be noted that, in fig. 4, the original N2 is the signaling traffic from the base station to the 5GC, and an IPRAN path is taken; n3 is the traffic flow from the base station to the MEC; n3 traffic goes a-devices to MEC switch (N3 traffic across a-devices needs to be inter-communicated through B-devices); n4 is the signaling flow from MEC to 5 GC; the flow of N4 is sent to the A equipment through the MEC switch, and then sent to the SMF of 5GC through the B equipment; n6 is the interconnection interface between the MEC and the user intranet.
It should be noted that the MEC third-party application is constructed on an IaaS resource pool provided by a cloud in combination with a PAAS enabling platform, and provides various capabilities for an application system of a user, and supports various traditional or microservice architecture systems.
As shown in fig. 5, compared with a traditional deployment mode, the architecture for implementing the application platform in the private industry based on the 5G network enables applications, services and contents to be deployed locally, in a close range and in a distributed manner by migrating the computation storage capacity and the service capacity to the edge of the network by the mobile edge computing, thereby solving the service requirements of technical scenes such as 5GeMBB, URLLC and mtc to a certain extent, and meanwhile, the architecture for implementing the perception and analysis of network context information by fully mining network data and information by the mobile edge computing, and is opened to a third-party service application, thereby effectively improving the intelligent level of the network and promoting the deep fusion of the network and the service; by constructing a uniform mobile edge computing platform, edge fusion of fixed and mobile networks is realized.
As shown in fig. 6, the private industry application platform implementation architecture based on the 5G network is applied to places such as enterprise parks (smart parks and industrial parks), and dedicated machine rooms, electricity utilization, air conditioners and optical cables are required to be provided in the parks to deploy the MEC environment; specifically, the working principle is the same as that described above, and the description thereof is omitted.
In summary, compared with the traditional deployment mode, the architecture for implementing the private industry application platform based on the 5G network enables the applications, services and contents to be deployed locally, closely and distributively by migrating the computation storage capacity and the service capacity to the network edge through the mobile edge computing, thereby solving the service requirements of technical scenes such as 5GeMBB, URLLC and mtc to a certain extent, and meanwhile, the architecture for implementing the sensing and analysis of network context information by fully mining network data and information through the mobile edge computing is opened to third-party service applications, thereby effectively improving the intelligent level of the network and promoting the deep fusion of the network and the services; by constructing a uniform mobile edge computing platform, edge fusion of fixed and mobile networks is realized; the mobile edge computing provides a deployment operation environment for localization of novel service applications (such as AR/VR, local application in a park and the like) with requirements of low time delay, high speed and high computing complexity, and can meet the requirements of enterprise users on unified network communication and customization, and for URLLC services with lower time delay, the mobile edge computing can be sunk to a position closer to the network edge according to the time delay requirements, so that the influence of transmission time delay is eliminated to the maximum extent, and the service requirements of millisecond-level extremely low time delay are met; the mobile edge computing is combined with the PAAS enabling platform, the whole framework of the platform adopts an open framework, the performance is high, the expandability is realized, data is generated in one point and is shared globally, the core business system application is borne based on the same bottom platform framework, and the platform has the characteristics of platform and application decoupling, hardware and software decoupling, infrastructure clouding, platform continuous evolution, core framework autonomous control, application rapid construction and the like; therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (6)
1. A private industry application platform implementation architecture based on a 5G network is characterized by comprising: moving an edge computing platform and a cloud platform;
the mobile edge computing platform is deployed in at least one computer terminal in a park, a PAAS (platform application as a service) enabling platform is deployed in the mobile edge computing platform, and the mobile edge computing platform is connected with the cloud platform through a 5G network and used for providing a deployment operation environment for service application localization and sinking a user plane gateway to a RAN (radio access network) side close to a user;
the PAAS enabling platform is used for providing a self-service interface and a tool set for the user;
the cloud platform is connected with a network edge node and used for receiving and processing data from the network edge node and comparing the data with the data
The processing data is stored and analyzed, an algorithm model is trained and upgraded, the algorithm model is pushed to the mobile edge computing platform after being upgraded, and the cloud platform is further used for providing data disaster recovery for the mobile edge computing platform.
2. The private industry application platform implementation architecture based on 5G network of claim 1, wherein the mobile edge computing platform comprises from the bottom: an infrastructure layer, a container arrangement layer, a PAAS service layer, an interface and a tool layer;
the infrastructure layer is used for providing a basic operation environment for the PAAS enabled platform;
the container arrangement layer is formed by superposing and integrating Kubernets on the PAAS enabling platform;
the PAAS service layer is used for providing support of various development languages, development frames, databases and middleware and directly providing services for the user;
the PAAS enabled platform serves as the interface and tool layer.
3. The private industry application platform implementation architecture based on 5G network of claim 2, wherein the middleware comprises: the system comprises a development framework, a development tool, an application server, a message queue, business process management, application monitoring, application performance management and distributed cache.
4. The private industry application platform implementation architecture based on 5G network of claim 2, wherein the infrastructure layer comprises: physical machines, virtual machines, and public or hybrid clouds; the infrastructure layer supports different Linux operating systems.
5. The private industry application platform implementation architecture based on 5G network of claim 1, wherein the PAAS enabled platform supports containerization transformation of user applications in programming language, supports automated flow of source code to mirror image; the self-service interface supports the user's access to the container cloud in a variety of ways.
6. The private industry application platform implementation architecture based on 5G network according to claim 5, wherein the plurality of ways comprise any one or more of the following combinations: web consoles, command lines, integrated development environments, and Restful style API service interfaces.
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