CN109756366B

CN109756366B - Intelligent network SCP cloud service implementation system based on CAAS

Info

Publication number: CN109756366B
Application number: CN201811579204.XA
Authority: CN
Inventors: 周红敏; 顾晓东; 丁正; 王红熳; 祝敬安; 程钢; 韦红
Original assignee: Shanghai Xinfang Software Co ltd; Shanghai Cintel Intelligent System Co ltd
Current assignee: Shanghai Xinfang Software Co ltd; Shanghai Cintel Intelligent System Co ltd
Priority date: 2018-12-24
Filing date: 2018-12-24
Publication date: 2022-02-11
Anticipated expiration: 2038-12-24
Also published as: CN109756366A

Abstract

The invention discloses an intelligent network SCP cloud service implementation system based on CAAS, which comprises a private cloud service, wherein a container service component is deployed on a virtual machine of the private cloud service, an intelligent network SCP component runs in the container service component, and an operation and maintenance management component is connected between the container service component and the intelligent network SCP component, wherein the container service component is used for managing calculation, storage, a network and a container and providing virtual resources for services in a container form; the intelligent network SCP component is used for supporting all call services on the intelligent network and operates in a container of the container service component; and the operation and maintenance management component is used for configuration management, log management, monitoring alarm, service arrangement and visual maintenance of the operation and maintenance management component, and operates in the container. The invention has the beneficial effects that: the method can provide effective and rapid service deployment and elastic expansion capability for telecom operation enterprises, and greatly improves operation and maintenance efficiency.

Description

Intelligent network SCP cloud service implementation system based on CAAS

Technical Field

The invention relates to the technical field of communication, in particular to an intelligent network SCP cloud service implementation system based on CAAS.

Background

The traditional intelligent network is a layer of superposed network on a circuit switching network, can separate service control from voice channel bearing, and has raised intelligent services such as group V network, color ring, prepayment, one-number service, click-to-dial and the like in the last 20 years, thereby greatly promoting the service innovation; with the development of 4G networks, IMS networks are put into commercial use, the networks tend to be flat, and original No. seven signaling basically completes the improvement based on IP bearing; in the process of converting a 2G/3G user to a 4G user, the original SCP load is reduced, the utilization rate is reduced, if an old device is used for carrying a new service, the condition of mixed deployment of the service exists, the isolation is poor, and meanwhile, the inconvenience is brought to operation and maintenance.

Cloud computing is a technology for performing distributed computing on a large number of distributed servers, which virtualizes infrastructure into a large number of virtual machines, provides Infrastructure As A Service (IAAS), is generally a layer of distributed scheduling and management software above the IAAS, has functions of load balancing, DNS, service discovery, version management, user isolation and the like, and provides a Platform As A Service (PAAS); due to the good isolation and low cost of containers, the development of Container As A Service (CAAS) has been a trend to replace PAAS.

At present, the implementation technologies for the intelligent network SCP cloud service are mainly as follows:

1. IAAS-based virtual machine implementation method

The IAAS-based virtual machine method is characterized in that a virtual machine containing a virtual CPU, a virtual memory and a virtual network is virtualized on the basis of resources (including calculation, storage and network) of physical hardware, and intelligent network SCP software is directly installed on the virtual machine, and compared with the physical hardware, the installation and maintenance processes are the same; the seventh signaling and the SIP signaling are connected with the core network through the IP network, the media stream is also connected with the media gateway through the IP network, no special equipment is needed, and the functional entities of the SCP are realized by adopting a pure software mode.

2. NFV architecture based implementation

The NFV architecture is divided into three layers: the network management system comprises an infrastructure layer, a virtual network layer and an operation support layer, wherein the infrastructure layer provides a deployment, management and execution environment for the VNF and realizes management and monitoring of NFVI resources (including hardware resources and virtual resources), and mainly comprises two parts, namely a Network Function Virtualization Infrastructure (NFVI) and a Virtual Infrastructure Management (VIM), wherein: the NFVI comprises a hardware resource layer, a virtualization layer and a virtual resource layer, and is used for realizing the bearing of a service network element of a virtual network layer, wherein resources comprise calculation, storage and a network; VIM realizes the functions of managing, scheduling, arranging and monitoring NFVI resources; the virtual network layer implements service capability based on virtualized resources provided by NFVI, including VNF, EMS, and VNF management system (VNFM), wherein: the VNF is a service network element deployed based on the NFVI virtualized resources; EMS is a management system of VNF service network elements; the VNFM is a VNF management system and is responsible for VNF life cycle management and VNFD generation and analysis; the operation support layer realizes the arrangement, operation, maintenance and management of services, and mainly comprises an OSS/BSS and an NFVO, wherein: the OSS/BSS is an operation/service support system, interacts with the NFVO and jointly completes maintenance and management functions; the NFVO is mainly responsible for cross-VIM NFVI resource arrangement and life cycle management and arrangement of services; NFVO, VNFM, and VIM collectively refer to NFV management and orchestration (MANO), and are responsible for deployment, scheduling, operation, maintenance, and management of a virtual service network.

The intelligent network SCP is designed into a VNF, which consists of a software mirror (comprising an operating system) and a VNF template, wherein the software mirror comprises a VNF management interface which is in butt joint with an MANO system, and the VNF can be subjected to instantiation deployment, capacity expansion, capacity reduction and termination operations through the MANO, other mirrors comprise call processing software, database software, seven-number signaling protocol stack software, SIP signaling protocol stack software, media server software and ticket sorting software, and the VNF template comprises mirror image information, deployment specifications, virtual deployment units, capacity expansion and reduction strategies and user-defined input parameters.

The above methods all have some disadvantages, which are as follows:

the intelligent network SCP cloud service is realized by an IAAS virtual machine method, the method only carries out cloud processing on a virtualization layer, and for the intelligent network SCP, the method has no substantial change with the deployment on a physical platform, and only migrates from a physical server to a virtual machine, and the deployment, operation and maintenance modes of software are not changed at all. The requirements for rapid deployment service and rapid expansion and contraction capacity cannot be met, and the process of applying for a virtual machine and manual (or semi-manual) deployment still needs to be carried out;

the method adopts a mirror image mode, a KVM mechanism is used for starting a virtual machine, the mirror image is large, all the mirror images of the intelligent network SCP are more than 10G together, and in addition, a large amount of storage space is consumed by version control; the whole mirror image must be upgraded in the software upgrading process, the software cannot be upgraded independently, otherwise, the expanded virtual machine can be created by using the mirror image, and the software versions are inconsistent; the VNF package defined by the ETSI is in a big packet format, and a MANO manufacturer basically adopts the big packet format during implementation, namely all the mirror images and the VNF template are packed into a compressed packet, and any environment link is required to be repacked when a problem occurs; in summary, in practice, the practicability is greatly reduced, the NFV architecture can be decoupled between manufacturers, but not completely decoupled inside the VNF.

An effective solution to the problems in the related art has not been proposed yet.

Disclosure of Invention

Aiming at the technical problems in the related art, the invention provides an intelligent network SCP cloud service implementation system based on CAAS, which can provide effective and rapid service deployment and elastic expansion capability for telecom operation enterprises, and greatly improves operation and maintenance efficiency.

In order to achieve the technical purpose, the technical scheme of the invention is realized as follows:

an intelligent network SCP cloud service implementation system based on CAAS comprises a private cloud service, wherein a container service component is deployed on a virtual machine of the private cloud service, an intelligent network SCP component is operated in the container service component, and an operation and maintenance management component is connected between the container service component and the intelligent network SCP component, wherein,

the container service component is used for managing calculation, storage, network and containers and providing virtual resources for business use in the form of containers;

the intelligent network SCP component is used for supporting all call services on the intelligent network and operates in a container of the container service component;

and the operation and maintenance management component is used for configuration management, log management, monitoring alarm, service arrangement and visual maintenance of the operation and maintenance management component, and operates in the container.

Further, the container service component comprises a network management module, a storage management module, a computation module and a load balancing module, wherein,

the network management module is used for managing and exchanging data of a plurality of network planes on a network provided by the IAAS;

the storage management module is used for managing the life cycle of the storage volume;

the container management module is used for managing the life cycle of each container running in the virtual machine;

the computing module is used for monitoring the performance indexes of the host and the deployment units, ensuring the healthy operation of containers in all the deployment units on the nodes and calling the container management module;

a load balancing module for routing traffic to the container of the requested service;

and the control module is used for ensuring the resource balance among all nodes of the virtual machine and the healthy operation of the container instance, and calls the network management module, the storage management module, the calculation module and the load balancing module respectively.

Further, the container service component further comprises a task scheduling module, a DNS module, and a container mirror repository module, wherein,

the task scheduling module is used for selecting the running virtual machine for each deployment unit, monitoring the resource utilization rate of the container instance in the deployment unit in real time and transmitting the data to the control module;

the DNS module is used for providing a stable service access entrance, acquiring a service domain name and transmitting the data of the service domain name to the control module;

and the container mirror image warehouse module is used for processing the user request and carrying out operation on the container mirror image.

Further, the storage volume includes a temporary storage volume and a persistent storage volume.

Further, the multiple network planes include, but are not limited to, MSC, HLR, S-CSCF, HSS, MGW, OCS, and BOSS.

Furthermore, the intelligent network SCP component comprises a signaling access module, a media service module, a service database module, a session buffer module, an account opening module, a call ticket service module and a call control module, wherein,

the signaling access module is used for taking charge of signaling coding and decoding, routing management, link state management and load balancing of the call control module;

the media service module is used for accessing media information and opening a media control interface for the call control module;

the overhead account module is used for packaging a data operation interface of the service database module and opening the interface to the operation support system;

the ticket service module is used for sorting, checking, backing up and uploading tickets;

the call control module is used for receiving the signaling of the signaling access module and is responsible for call processing, and the call control module calls the signaling access module, the media service module, the account opening and closing module and the ticket service module respectively;

the service database module is used for storing service data and respectively receiving the data of the account opening and closing module and the call control module;

and the session caching module is used for caching the session state data and receiving the data in the call control module.

Furthermore, the intelligent network SCP component also comprises a capability subscription and opening module, wherein the capability subscription and opening module is used for opening the call control capability of the intelligent network SCP to the capability opening platform, analyzing the request parameter and operating the service database.

Further, the data of the signaling access module includes route management, link state management and load balancing.

Furthermore, the operation and maintenance management component comprises a configuration center module, a monitoring alarm module, a service arrangement module, a log management module, a WEB UI module and a database module, wherein,

the configuration center module is used for storing, configuring, issuing, configuring, checking and data converting configuration items of all modules of the SCP component of the intelligent network and transmitting the configuration items to the database module;

the monitoring and alarming module is used for monitoring and alarming indexes of the container service assembly and the intelligent network SCP assembly respectively;

the service arranging module is used for arranging and deploying services of the SCP component of the intelligent network;

the log management module is used for centralized storage and retrieval of logs;

the WEB UI module is used for visualizing a page, and receiving a configuration center module, a monitoring alarm module, a service arrangement module and a log management module;

and the database module is used for storing data in the configuration center module, the monitoring alarm module, the service arranging module, the log management module and the WEB UI module.

The invention has the beneficial effects that:

1. each service is packaged in a container to run, the container can be deployed in the whole cluster as required, and compared with a traditional virtual machine, the virtual layer resource is saved, and the service isolation is improved;

2. each software package is stored in the warehouse according to the version number, so that version control is facilitated, the operating system is decoupled from the software packages, the storage space is saved, the software version upgrading and version returning processes are simplified, and gray scale upgrading can be performed on the specified equipment;

3. the light weight and the easy isolation of the container are fully utilized, and the container can be automatically deployed and expanded and contracted on line more quickly in the aspects of operation and maintenance.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a schematic structural diagram of an intelligent network SCP cloud service implementation system based on CAAS according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a container service assembly according to an embodiment of the present invention;

fig. 3 is a schematic diagram of an intelligent network SCP assembly according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an operation and maintenance management component according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.

The following explains the acronyms appearing in the document:

CAAS: container As a Service;

IAAS: infrastructure as a Service;

PAAS: platform as a Service;

SAAS: software as a Service, Software is a Service;

SCP: service Control Point, Service Control Point;

NFV: network Function Virtualization, Network Function Virtualization.

As shown in fig. 1 and 4, an implementation system of an intelligent network SCP cloud service based on CAAS according to an embodiment of the present invention includes a private cloud service, a container service component is deployed on a virtual machine of the private cloud service, an intelligent network SCP component is operated in the container service component, and an operation and maintenance management component is connected between the container service component and the intelligent network SCP component, wherein,

Specifically, based on a private cloud service in a communication network of a telecom operation enterprise (mobile, telecom, Unicom), a container service component is deployed on a virtual machine provided by the private cloud service, and each module in an intelligent network SCP component runs on the virtual machine by one to a plurality of container instances; the container service component provides multi-service isolation capability for the services through network isolation and multi-tenant isolation, so that the multi-services can share virtual resources, and when a fault occurs, the container can be quickly restarted or quickly rebuilt on other nodes, so that the high availability of the system is ensured; the intelligent network SCP component not only provides basic service capability, but also has telephone traffic migration capability during on-line expansion and contraction, and ensures that no influence is caused on calling when any module is expanded and contracted; in conclusion, the intelligent network SCP cloud service based on CAAS can provide effective and rapid service deployment and elastic expansion capability for telecom operation enterprises, and operation and maintenance efficiency is greatly improved.

In one embodiment of the invention, the container service component comprises a network management module, a storage management module, a computation module, and a load balancing module, wherein,

the network management module is used for managing and exchanging data of a plurality of network planes on a network provided by the IAAS, the management network is provided by an IAAS layer, and a management network IP is distributed to each virtual machine; the tenant network is a network distributed for a plurality of tenants, network isolation can be performed, and networks among different tenants cannot be communicated; the container network is a tenant internal network plane, and when a container instance is created, an IP address is obtained from a gateway;

the storage management module is used for carrying out life cycle management on the storage volume, the storage volume is divided into a temporary storage volume and a persistent storage volume, the life cycle of the temporary storage volume is the same as that of the container, the persistent storage volume is still effective after the container is died, the container can be mounted again after being restarted, and the persistent storage volume is generally used for storing data needing to be persisted;

specifically, the container management module is responsible for managing the lifecycle of each container running in the virtual machine, and after the deployment unit is allocated on the virtual machine, the container management module will pull the image specified by the deployment unit from the image repository, and when the deployment unit is terminated, the container manager will terminate all container instances belonging to the deployment unit.

specifically, the computing module needs to be deployed on each cluster node, and is used to control the container management module and monitor performance indexes of the host and the deployment units, so as to ensure that containers in all the deployment units on the node operate healthily; the calculation module executes maintenance operations such as container starting, stopping, restarting and the like through the control container management module, simultaneously monitors KPI indexes of the cluster nodes and the deployment units and reports the KPI indexes to the control module, and the control module judges monitoring states of the cluster nodes and the deployment units and carries out the next operation.

specifically, the traffic is routed to the container of the requested service according to the destination IP address and the destination port number, and a plurality of routing policies including polling, minimum traffic priority, weighted heavy load balancing, and the like are provided.

Specifically, the control module is responsible for ensuring resource balance among nodes of the virtual machine and healthy operation of the container instance, maintains the state of the virtual machine and the state of the deployment unit at the same time, and controls the operation of the containerized application program and the balance of the virtual resources in real time by continuously monitoring the healthy state of the cluster, the operation state of the deployment unit and the state of the container instance.

For example, when one virtual machine in the cluster fails, the deployment unit running on the virtual machine may not provide the service normally, in which case the control module will schedule the same number of deployment units on the other virtual machines to continue providing the service, thereby ensuring high availability of the cluster.

In a specific embodiment of the present invention, the container service component further comprises a task scheduling module, a DNS module, and a container mirror repository module, wherein,

specifically, a running virtual machine is selected for each deployment unit based on the resource availability assessment, and the resource utilization rate of the container instance in the deployment unit is monitored in real time, so that the deployment unit is ensured not to exceed the resource quota allocated to the deployment unit in the deployment plan during running.

in particular, a stable service access portal is provided, which itself also operates as a deployment unit in the container, the high availability of which is guaranteed by the control module. When a container of a deployment unit is instantiated, it registers its acquired IP address and the service domain name assigned to it with the DNS module. The containerized application program obtains the real IP address of the service through the DNS module when running.

The container mirror image warehouse module is used for processing user requests, operating container mirror images and taking charge of uploading, downloading, checking, deleting and authority control functions of the container mirror images, and comprises a mirror image management submodule, an authority control submodule, a database submodule and a WEB UI.

Specifically, the container mirror image warehouse module processes a user request and returns a response to the browser through the load balancing module, and if the request is a permission management request, the database user table and the permission table are operated; if the request is the last mirror image request, storing the mirror image file to a mirror image storage directory, wherein the file name comprises a mirror image package name and a version number, and then writing mirror image information into a database; if the request is a mirror image deletion request, deleting the mirror image file and then deleting the database record; if the request is a mirror image viewing request, reading the mirror image data of the database and returning; and if the request is a mirror image downloading request, downloading and sending the file by starting HTTP.

In a specific embodiment of the present invention, the plurality of network planes include, but are not limited to, MSC, HLR, S-CSCF, HSS, MGW, OCS, and BOSS.

The container instance deployment flow is as follows:

s1, a user arranges containers on the operation and maintenance management component WEB, firstly creates services, and then appoints deployment units for the services, wherein each deployment unit needs to appoint a container mirror image source, a container specification, a maximum container example, a minimum container example and an expansion and contraction volume strategy;

s2, storing the container arrangement plan, carrying out validity check on the operation and maintenance management component, and generating a service deployment template file;

s3, the user deploys the appointed container arrangement plan on the operation and maintenance management component WEB;

s4, sending a deployment request from the operation and maintenance management component to a load balancing module, routing the request to a control module by the load balancing module according to the URL, wherein the request comprises a service deployment template file, and when a plurality of control modules exist in the cluster, a routing strategy adopts a polling mode;

the S5 control module analyzes the service deployment template file, if the analysis is successful, a 'processing' response is returned to the operation and maintenance management component, otherwise, a failure response is returned;

s6, the control module obtains the occupied amount and the free amount of the CPU and the memory of each host from the calculation modules of all cluster hosts;

s7, the control module obtains the occupied and free space of each host disk space from the storage management modules of all cluster hosts;

the S8 control module obtains the network interface information, the bandwidth occupation and the idle quantity of each host from the network management modules of all cluster hosts;

the S9 control module calls the resource allocation interface of the task scheduling module and transmits the container specification (including CPU, memory, storage and network interface configuration requirements), the maximum container instance, the minimum container instance, the collected computing resource usage data, the collected storage resource usage data and the collected network resource usage data of each deployment unit to the task scheduling module;

s10 task scheduling module based on resource availability evaluation and resource balance evaluation to select running virtual machine for each deployment unit to ensure each virtual machine resource occupation balance, and finally returns the mapping relation between the container instance of the deployment unit and the virtual machine address to the control module;

s11, the control module performs instantiation deployment on the container of each deployment unit;

s12, the control module calls a storage volume creation interface of the storage management module, the storage management module creates a storage volume for the container instance, the type of the storage volume is specified in the service deployment template, and after configuration is completed, the storage management module returns a response to the control management module;

the S13 control module calls the network interface of the network management module, the network management module creates a virtual network interface for the container instance, configures the route from the virtual machine to the virtual network interface, and returns a response to the control module after the configuration is completed;

the S14 control module calls a container creating instance interface of the computing module and simultaneously transmits container mirror image sources, storage volumes, network interfaces, a CPU and memory configuration requirement parameters;

the S15 calculation module calls a starting container instance interface of the container management module and simultaneously transmits container mirror image sources, storage volumes, network interfaces, a CPU and memory configuration requirement parameters;

s16, the container management module downloads the mirror image from the container mirror image warehouse according to the input parameters, starts the container instance after the mirror image is downloaded successfully, specifies the storage volume, the network interface, the CPU and the memory configuration parameters, and finally returns the response of successful creation of the container instance to the calculation module;

the S17 calculation module adds the KPI of the newly-built container instance into the monitoring item, starts to collect statistical data and reports to the control module at regular time, and finally returns the successful response of creating the container instance to the control module;

after receiving the response of successful creation of the container instance, the control module of S18 registers the IP address of the container instance and the service domain name of the deployment unit to the DNS module;

s19 repeating steps 11-18 completes the container instantiation of all deployment units.

The S20 control module returns service deployment success to the operation and maintenance management component;

s21 the operation and maintenance management component updates the host list of the deployment task state and service.

In one embodiment of the invention, the intelligent network SCP assembly comprises a signaling access module, a media service module, a service database module, a session cache module, an account opening module, a ticket service module and a call control module, wherein,

the intelligent network SCP component operates in the container, realizes the 2G/3G/4G call control and media control, including point-to-point call, multi-party call, IVR, playing and receiving number and other basic capabilities, and can support all call services on the intelligent network on the basis.

specifically, the IP bearer is in butt joint with a core network element and is responsible for signaling coding and decoding, routing management, link state management and load balancing of a call control module. The signaling codec supports various protocols in the telecommunication network, including INAP, CAP, GSM MAP, ANSI MAP, TCAP, SCCP, MTP3, SIP, etc.; the route management refers to the maintenance of a route strategy and forwards the route strategy to a correct link according to the route information in the signaling in combination with the route strategy; link state management refers to the detection and reporting of the health state of a link and has reconnection and bypass mechanisms. Load balancing refers to the uniform distribution of calls to multiple call control modules, and because of different protocols, the load balancing algorithms are different.

specifically, based on the butt joint of the IP bearer and the core network MGW, the functions of playing, receiving, recording and meeting are realized, a media control interface is opened for a call control module, and the call control module controls a media service module according to the service requirement to realize the functions.

The overhead account module encapsulates an adding, deleting, modifying and checking interface of the service database, realizes functions of adding users, deleting users, managing groups, opening/stopping service functions, opening and canceling accounts in batches and the like, and opens the interface to the operation support system;

the specific flow of the account opening module is as follows:

the operator performs the operation of opening and canceling the account through the BOSS system, and requests to send to an opening and canceling account module of an intelligent network SCP component;

the account opening and canceling module analyzes the request parameters and operates the service database, and if the request is an account opening request, the account opening and canceling module writes the user data into the database; if the request is a cancellation request, the cancellation module deletes the user data from the database;

and the overhead account module returns the operation result to the BOSS system.

The call ticket service module is used for sorting, checking, backing up and uploading call tickets, wherein the sorting is to generate different call ticket files according to the service types of single call tickets, generate the files according to fixed time slices and store the files by distinguishing catalogues in units of days and months; the verification is to verify the integrity and the field legality of the call tickets in the call ticket sorting process and eliminate incomplete or illegal call tickets; the backup is to compress the uploaded call ticket file, store the compressed call ticket file according to the day and automatically delete the compressed call ticket file after timeout; uploading refers to uploading to the BOSS through ftp.

the call control module is a core control module of an intelligent network SCP and is responsible for call processing, the call control module receives a call initiating signaling from a signaling access module, then searches user data and a service function opened by a user from a service database, sends a continuing signaling to the signaling access module to put through a call after the call processing, controls a media access module to realize the functions if the user needs to play a sound, receive a number, record a sound or join a conference, monitors a call event in real time in the call process, generates a ticket after the call is finished and synchronizes the ticket to a ticket service module.

The service database module is used for storing service data, storing basic information of users, service opening functions, belonging groups and other data, writing the user data in the service database module by the account opening module, and reading only the call control module;

and the session caching module is realized based on a memory database redis, caches session state data, provides guarantee for stateless processing, and needs to share data among container instances of cross hosts in a cluster.

For example: point-to-point call flow:

for a more comprehensive coverage module, assuming that the called user opens the color ring service, the flow is as follows:

s01, the calling user A dials the number of the called user B, if the user accesses the IMS network, the call initial request is sent from the S-CSCF network element to the signaling access module of the SCP component of the intelligent network; if the user does not access the IMS network, the call initial request is sent to a signaling access module of an intelligent network SCP component from the MSC network element;

s02 signaling access module analyzes the message, extracts the session unique mark and route relative parameter, selects route algorithm according to the route relative parameter and the route strategy configured locally, then selects link to the call control module according to the session unique mark and route algorithm, and sends the call initial request to the call control module through the selected link;

s03, the call control module inquires the service database according to the user number to obtain the service subscription data and ability subscription relation data of the user;

s04, assuming that the calling user has ability subscription relationship, the call control module sends the call initial event to the ability subscription and open module, and stores the current call state information to the session cache module;

s05, the ability subscription and opening module and the session cache module send the call initial event to the ability opening platform through the HTTP interface, and store the HTTP session information to the session cache module;

s06 the ability opening and buffer module receives the call connection control event of the ability opening platform, updates the HTTP session state in the session buffer module to 'connection', and transmits the connection control event to the call control module;

s07 call control module obtains call state information from the session buffer module and connects the called party, sends connection request to the signaling access module, then updates the call state information and saves it to the session buffer module;

the S08 signaling access module sends the message to S-CSCF or MSC network element according to the route parameter and the session unique identification in the connection message, if the user accesses IMS network, the call connection message is sent to the S-CSCF network element; if the user does not access the IMS network, the call connection message is sent to the MSC network element;

s09 ringing the called mobile phone, and sending the ringing event message to the signaling access module from the S-CSCF or MSC network element;

s10 signaling access module sends ringing event message to call control module according to session unique identification and route related parameter;

s11 the call control module obtains the call state information from the session buffer module according to the unique session identifier, and judges whether the called user has the color ring service, if the called user has the color ring service, the call control module calls the resource application interface of the media service module.

S12 media service module looks for idle port and opens media flow channel, and returns IP address and port of media service to call control module;

s13 the call control module sends the IP address and port of the media service to the calling party through the media negotiation request, and the message transmission path is: a call control module- > a signaling access module- > an S-CSCF/MSC network element;

s14 the calling user terminal returns the media negotiation success confirmation through S-CSCF/MSC network element- > signaling access module- > calling control module path;

s15 call control module sends request for playing color ring tone to media service module, and updates call state information and stores it in session buffer module;

s21 media service module sends media flow through pre-allocated port, the carrying network of media flow and call control message are different network planes, media flow is sent directly to MGW network element, calling user hears color ring;

s16 the called user picks up the phone, the call control module receives the response message, the message transmission path is: S-CSCF/MSC network element- > signaling access module- > call control module;

s17 the call control module forwards the response message to the calling party, and updates the session information in the session cache module, where the transmission path of the message is: a call control module- > a signaling access module- > an S-CSCF/MSC network element;

s18 the call control module sends the request of stopping playback and releasing resources to the media service module, the media service module stops sending media flow and releases resources such as port;

s19, if the capability openness platform subscribes to the response event of the user, the call control module sends the response event to the capability openness platform, and the message transmission path is: a call control module- > capability subscription and open module- > capability open platform;

s20, a call is established between the calling and called users;

s21, when any party hangs up, the call control module receives the hang up message, and the transmission path of the message is: S-CSCF/MSC network element- > signaling access module- > call control module;

s22 the call control module forwards the hang-up message to the other party, the message transmission path is: a call control module- > a signaling access module- > an S-CSCF/MSC network element;

and the S23 call control module generates a call ticket according to the session information, wherein the call ticket comprises the information of the calling number, the called number, the call starting time, the response time, the hang-up time, the call duration and the like, and the call ticket data is sent to the call ticket service module through the message interface.

And S24, the call control module deletes the session information in the session cache module according to the session unique identifier.

In an embodiment of the present invention, the intelligent network SCP component further includes a capability subscription and opening module, where the capability subscription and opening module is configured to open the call control capability of the intelligent network SCP to the capability opening platform, parse the request parameter, and operate the service database.

Specifically, the service data management system is responsible for opening the call control capability of the intelligent network SCP to the capability opening platform, then the capability opening platform is opened to the third party platform, the capability opening interface can be used only after the capability subscription is completed, the capability subscription is to subscribe a notification event or a control event according to the number, and the subscription data is written into the service database.

The process of the capability subscription and open module is as follows:

1. the method comprises the steps that an ability open platform subscribes the call control ability of an intelligent network SCP and sends a request to an ability subscription and open module, wherein the request carries a user number and a subscribed ability identifier;

2. the capability subscription and opening module analyzes the request parameters and operates the service database, if the request is a subscription request, the capability subscription and opening module writes the subscription relation data into the database, and if the request is a subscription cancellation request, the capability subscription and opening module deletes the subscription relation data from the database;

3. and the capability subscription and opening module returns the operation result to the capability opening platform.

In a specific embodiment of the present invention, the operation and maintenance management component includes a configuration center module, a monitoring alarm module, a service arrangement module, a log management module, a WEB UI module and a database module, wherein,

specifically, the storage and configuration issuing of each module configuration item of an intelligent network SCP component are realized, configuration writing is realized by WEB editing and submitting configuration data to a configuration center module, and the configuration center module performs configuration check and data conversion and writes the configuration data into a database module; the configuration issuing is realized by deploying an agent program in each container instance of an intelligent network SCP component, the agent program can pull configuration from a configuration center module at regular time and also subscribe configuration items to the configuration center, when the configuration changes, the configuration center module actively pushes the configuration to the agent program, and the agent program calls a command line to update the configuration on line.

the index monitoring comprises that KPI indexes of a host, a container example and an application program are regularly collected by a probe mode, then data are written into a database module, a WEB UI module acquires monitoring data by calling a query interface of a monitoring alarm module, the alarm comprises an application program report alarm and a monitoring index alarm, the former is that an internal fault is actively reported to the monitoring alarm module when the application program detects the internal fault, the latter is generated when the monitoring alarm module meets the threshold value of the alarm by analyzing the monitoring index, the alarm data are written into the database, and the WEB UI module acquires the alarm data by calling the query interface of the monitoring alarm module.

specifically, the service arranging module realizes the service arranging and deploying functions of an intelligent network SCP component, the service arranging refers to designing deployment units contained in a service, assigning deployment specifications (including configuration requirements of a CPU, a memory, a storage and a network interface) for each deployment unit, assigning a container mirror image source, a maximum example number, a minimum example number, an initial example number, a KPI index, a capacity expansion and reduction strategy and the like for each deployment unit, storing a service arranging scheme by a user through WEB, verifying the validity of the service arranging scheme by the service arranging module, generating a template file, and storing data to the database module. When a user deploys services through WEB, a service arranging module sends a deployment request to a container service component to execute a container instance deployment process, meanwhile, the service arranging module receives the deployment progress reported by the container service component and stores the deployment progress to a database module, and a WEB UI module regularly refreshes a page to display the deployment progress.

specifically, the log management module realizes the centralized storage and retrieval of the logs, the log collection is realized by installing a collection agent in a container example of an intelligent network SCP component, and the log management module performs formatting processing on the logs and writes the logs into the database module; and the user retrieves the logs through the WEB UI module and calls a log query interface of the log management module to acquire the logs meeting the conditions from the database.

And the WEB UI module is used for visualizing the page, receiving the configuration center module, the monitoring alarm module, the service arrangement module and the log management module, and realizing the visualization page for configuration management, monitoring alarm, service arrangement and deployment and log management.

A database module: and the system is responsible for storing configuration data, monitoring index data, alarm records, service scheduling plans, deployment task records and log records.

As shown in fig. 4, the container service is divided into two parts, namely a control node and a computing node, where the control node includes functions of balancing resources, storing and managing resources, managing networks, and scheduling tasks, and the computing node includes functions of operating and managing containers, monitoring KPI indicators, and reporting.

Specifically, the implementation flow of the container service is as follows: the requirement on the host machine is a physical machine or a virtual machine, the operating system is a version above linux6, and the container selects docker;

the load balancing module, the control module, the task scheduling module, the storage management module, the network management module, the calculation module and the container management module of the container service assembly are independent application programs and are installed on a host machine, and the container mirror image warehouse and the DNS module are independent application programs and run in a container in a mirror image mode;

the container service assembly is divided into two parts, namely a control node and a computing node, from the aspect of deployment, wherein the control node comprises at least 2 host machines, and the control node comprises a load balancing module, a control module, a task scheduling module, a storage management module and a network management module. The computing nodes comprise a computing module, a container management module, a storage management module and a network management module, wherein the DNS module and the container mirror image warehouse module run on 1 or 2 computing nodes in a container instance mode, and the number of instances can be configured according to requirements;

the container service is logically divided into three layers of service, deployment unit and container for users;

the service is an interface of a series of function combinations provided for meeting service requirements, the service comprises an internal service and an external service, the internal service is a service for providing independent functions for an internal module, and the external service is a service provided for third-party equipment such as a core network element and the like;

the deployment unit is one or more application programs which can be deployed and run independently and necessary configuration files, the deployment unit corresponds to a container mirror image, and the deployment unit is designed by a user, which is the simplest example: in order to demonstrate the basic functions of the SCP of the intelligent network, all modules can be made into a deployment unit, and each module is designed into an independent deployment unit in a production environment;

the container is a carrier of a container service operation example, a host machine for the operation of the container example is uncertain, the host machine is selected by the task scheduling module according to a resource evaluation and resource balance algorithm, when the container example is abnormally crashed in the operation process, the control module can try to restart the container example, if the restart fails, the container example can be migrated to other host machines, and therefore the permanently stored data of the container example must be used for mounting a permanently stored volume on the host machine through the storage management module;

the container mirror image warehouse is a warehouse established on the basis of container service and used for managing container mirror images according to versions and providing http service;

the method comprises the steps that a configuration center lays a foundation for automatic deployment, the configuration of each software module of an intelligent network SCP needs to be stored in the configuration center in a centralized mode, software automatically obtains the configuration from the configuration center after being started and updates the software configuration in real time through a subscription mechanism under the condition that the software is not restarted, the software module of the intelligent network SCP cannot be directly operated after being started, most of operation parameters need to be set during deployment according to an operation environment, and the configuration center can also ensure that the latest configuration is used through a mirror image reconstruction example after a container example is abnormal;

specifically, the implementation method of the configuration center is as follows:

the configuration center is realized by adopting a B/S + C/S architecture, the user side is the B/S architecture, and the intelligent network SCP side is the C/S architecture. The configuration center comprises a WEB front end, a WEB rear end, a database and a client agent (operated in each container example of an intelligent network SCP) from top to bottom;

the WEB front end provides visual configuration management, which is logically divided into three layers of service, module and configuration item for a user, wherein the service and the service operated on the container service have the same meaning (such as intelligent network SCP), the module is a software module contained in the cloud service, the configuration item is the combination of a configuration name, description and a configuration value, one service comprises a plurality of modules, and one module comprises a plurality of configuration items;

the WEB back end dynamically generates a page according to a configuration template, processes configuration data submitted by the WEB front end and writes the configuration data into a database, and adopts a design scheme of the configuration template to improve the universality because the configuration items of software modules are various, wherein the configuration template comprises information such as the name, description, value range, regular expression check, whether to be filled and the like of the configuration items, each software module is provided with a respective configuration template, and the WEB back end reads the corresponding template according to the software module selected by a user to dynamically generate the page; the database is used for storing the names and values of the configuration items, and the configuration items are organized according to the module names and the service names;

the client agent can pull configuration from the WEB back end at regular time, also can subscribe configuration items to the WEB back end, when the configuration changes, the configuration is actively pushed to the client agent by the WEB back end, and the client agent calls a command line to update the configuration on line. Therefore, each software module of the intelligent network SCP assembly needs to support dynamic updating configuration in a command line mode.

The SCP stateless transformation aims to solve the problem of high availability during elastic expansion and adapt a load balancing mechanism under a micro-service architecture, and call states (including calling and called numbers, call starting time, called response time and the like), session information and transaction states are stored in a cache with a persistence function in a centralized manner, so that different messages of the same call can be correctly processed through different container instances or processes.

The method for realizing the SCP stateless transformation comprises the following steps:

the SCP stateless transformation does not remove the state, but stores the stateful data into a distributed session cache module. The states are necessary for the call service, including the states of connection, ringing, answering, conversation and hanging up, and when the SCP is transformed in a stateless manner, such data needs to be transferred from the memory of the original application program to the distributed session buffer module.

The SCP stateless transformation is the transformation of a read-write mode of call information, and the call information comprises: the method for realizing the information of the calling number, the called number, the call starting time, the response time, the hang-up time, the subscription data of the user, the type of the last request and the like is described as follows step by step:

extracting a Call unique identifier as a key when a Call starts, extracting a Call-ID parameter for an SIP (session initiation protocol) protocol, and extracting a dialogID parameter for an INAP (infrastructure access point) or ANSI (answer System-MAP) protocol;

adding a serialization method and an deserialization method to a data structure related to call information, wherein the serialization method encodes data in a memory into a byte stream, and the deserialization method decodes the byte stream into the data structure in the memory;

when call information is stored, a serialization method is called to obtain a byte stream as value, and key and value are written into a session cache module;

when the calling information is read, obtaining a value from the session cache module according to the key, and calling an deserialization method for the value to obtain a data structure;

and a session cache module is added, so that the single-point operation is avoided, the characteristics of large data storage capacity and low time delay are met, and the open source redis software which is widely applied at present is adopted.

The elastic expansion and contraction modification of the SCP aims to meet the requirement of elastic expansion and contraction of cloud services, in a traditional intelligent network SCP, the process is generally completed manually, after modification, each software module judges whether instantiation is completed or not during capacity expansion, the software module is added into the service after completion of the instantiation, the call processing is started, each software module needs to inform the upstream and downstream modules of being in a capacity reduction state during capacity reduction, new calls are not received, and the instance quits the service after the call being processed is completed.

The method for realizing SCP elastic expansion comprises an initiating method and an executing method, wherein the initiating method refers to a judging method of elastic expansion opportunity and an instruction sending method, and the executing method refers to a method for controlling an elastic expansion process.

The initiating method can be automatic or manual.

The automatic initiation method comprises the following steps:

and performing service arrangement through the WEB of the operation and maintenance management component, and assigning an elastic expansion strategy for the deployment unit, wherein the strategy comprises monitoring indexes (such as CPU, memory and the like), index calculation methods (average value, maximum value and minimum value), statistical times and expansion step length (such as 1 container example).

And the elastic expansion strategy is issued to a control module of the container service assembly.

And a control module of the container service assembly monitors the monitoring index of the container instance of the deployment unit in real time, compares the monitoring index with a strategy, and initiates a capacity expansion instruction when the elastic expansion condition is met.

The manual initiating method comprises the following steps:

and the operation and maintenance personnel judge whether elastic expansion is needed or not according to the traffic.

And the operation and maintenance personnel carry out capacity expansion or capacity reduction operation through the WEB of the operation and maintenance management component.

And the capacity expansion and reduction instruction is issued to a control module of the container service component.

The execution method needs the container service component to be matched with the intelligent network SCP component, and comprises two types of capacity expansion and capacity reduction.

In order to enhance the reusability of software, each software module of the intelligent network SCP assembly needs to be added with an elastic expansion library, and the elastic expansion library encapsulates a flow of cooperation between an elastic expansion command and an internal module, so that repeated development is reduced, and the flow is standardized. For example, the following steps are carried out:

assuming that a is communicated with a module B, B has two instances B1 and B2, when B2 needs capacity reduction, B2 calls a capacity reduction method and a capacity reduction notification method, the capacity reduction method is executed by the B2 home terminal, the capacity reduction notification method is executed by remotely calling a, a receives the notification and then does not send new service to B2, after the original services on B2 are all processed, B2 remotely calls the capacity reduction completion notification method of a, and a completely deletes the connection to B2.

The capacity expansion method comprises the following steps:

the control module calls a resource allocation interface of the task scheduling module and transmits specification of a capacity expansion container (including CPU, memory, storage and network interface configuration requirements), capacity expansion number, collected computing resource usage data, collected storage resource usage data and collected network resource usage data to the task scheduling module.

And the task scheduling module selects a running virtual machine for the expansion container instance based on the resource availability evaluation and the resource balance evaluation, ensures the balance of the resource occupation of each virtual machine, and finally returns the mapping relation between the container instance and the virtual machine address to the control module.

The control module calls a storage volume creation interface of the storage management module, the storage management module creates a storage volume for the container instance, and after configuration is completed, the storage management module returns a response to the control management module.

The control module calls a network interface created by the network management module, the network management module creates a virtual network interface for the container instance, configures a route from the virtual machine to the virtual network interface, and returns a response to the control module after the configuration is completed.

And the control module calls a container creating instance interface of the calculation module and transmits capacity expansion operation identification, a container mirror image source, a storage volume, a network interface, a CPU and a memory configuration requirement parameter.

And the calculation module calls a starting container instance interface of the container management module and simultaneously transmits capacity expansion operation identification, a container mirror image source, a storage volume, a network interface, a CPU and memory configuration requirement parameters.

And the container management module downloads the mirror image from the container mirror image warehouse according to the input parameters, starts a container instance after the mirror image is successfully downloaded, and specifies storage volumes, network interfaces, a CPU and memory configuration parameters. And finally, returning a response of successful creation of the container instance to the calculation module.

After the container instance is started, a capacity expansion method of the application program is called according to the capacity expansion operation identification, and the method is provided by an elastic expansion library to complete coordination of an upstream module and a downstream module.

And the calculation module adds the KPI of the newly-built container instance into a monitoring item, starts to collect statistical data and reports the statistical data to the control module at regular time, and finally returns a successful response of creating the container instance to the control module.

After the control module receives the response of successful creation of the container instance, the IP address of the container instance and the service domain name of the deployment unit are registered in the DNS module

The capacity reduction method comprises the following steps:

and the control module calls a termination container instance interface of the computing module and simultaneously transmits the capacity reduction operation identifier and the container identifier.

The calculation module calls a termination container instance interface of the container management module and simultaneously transmits the capacity reduction operation identifier and the container identifier.

And the container management module informs the application program in the container to start the capacity reduction operation according to the input parameters.

And calling a capacity reduction method of the elastic expansion library by the application program in the container, and returning a response to the container management module after the coordination of the upstream module and the downstream module is completed.

The container management module stops the container instance and returns a response to the computing module.

The calculation module deletes the monitoring item of the container instance and returns a response to the control module.

And the control module calls the resource recovery interfaces of the storage management module and the network management module to recover the storage volume and the virtual network interface.

The method comprises the steps of realizing automatic deployment, reducing SCP deployment time, firstly selecting a computing node according to a deployment template and a resource balancing algorithm, pulling a required mirror image to start a container instance and application software, and then initializing and configuring all software modules by using a configuration center.

The planning service specification is a planning process of resources required by each module of an intelligent network SCP, and comprises network division, IP address planning, CPU planning, memory planning and storage planning.

The planning deployment unit is a process of planning strategies and configurations of each deployment unit of an intelligent network SCP, and comprises planning of an elastic expansion strategy, system initialization operation parameters, page input parameters and the like.

The process of compiling the deployment template and packaging the mirror image is carried out according to the two steps, and the template and the mirror image can be automatically deployed after being uploaded to the container service through a web page.

In order to facilitate understanding of the above-described technical aspects of the present invention, the above-described technical aspects of the present invention will be described in detail below in terms of specific usage.

When the CAAS-based intelligent network SCP cloud service implementation system is used specifically, taking an XX province mobile intelligent network SCP cloud project as an example, the system capacity is 100 ten thousands of users, the concurrency is 450caps (450 new calls per second), the CAAS-based intelligent network SCP cloud service implementation period is reduced to one week from the original four weeks, and the efficiency is greatly improved.

In the planning stage, the number of virtual machines, network planning, and the IP addresses and ports of network elements of a core network need to be determined, 12 virtual machines (configured with 4core CPUs, 8G memories, and 100G hard disks) are used in the project, and deployment can be started after the virtual machines are allocated in the IAAS layer.

Description of the deployment phase flow:

and automatically deploying the container service component by using the infrastructure, editing the IP of the host before starting, and editing the IP network and the gateway of the network plane by using 3 hosts as control nodes and 9 hosts as computing nodes in the project.

The installation of the entire cluster is completed in about 40 minutes.

And manually deploying the operation and maintenance management component, starting operation through docker, and completing the operation within about 1 hour.

The intelligent network SCP cloud service is arranged through the operation and maintenance management component WEB, and necessary initial configuration items are input at the same time, and the configuration items ensure that an SCP software module can be started and operated normally and are finished in about 2 hours.

The intelligent network SCP cloud service is deployed through the operation and maintenance management component WEB, which is detailed in a container instance deployment flow and is completed in about 30 minutes.

And in the testing stage, testing needs to be carried out according to the test case, if configuration needs to be modified, the configuration is modified through the operation and maintenance management component WEB, and the debugging period is about 3-4 days.

The flow between components is described as follows, taking a point-to-point call as an example:

the calling subscriber a dials the called subscriber B. If the user accesses the IMS network, the call initial request is sent to the external IP address of the intelligent network SCP from the S-CSCF network element; if the user does not access the IMS network, the call initiation request is sent from the MSC network element to the external IP address of the intelligent network SCP. This IP is on the network plane of the host.

And the container service assembly load balancing module obtains the SCP cloud service name according to the external IP and the port, and queries the DNS module according to the service name to obtain the address of the network plane inside the container.

The load balancing module forwards the call initiation request message to the container internal IP.

The intelligent network SCP assembly application processes the call initiation request and sends a connection request to the S-CSCF or MSC network element.

The continuation request is sent to the host network interface where the container instance is located, according to the container internal route.

And the network management module of the container service component replaces the local IP as the host IP according to the routing rule and forwards the connection message to the S-CSCF or MSC network element.

The subsequent reply and on-hook message flow is the same as described above.

In summary, by means of the above technical solution of the present invention, each service is encapsulated in a container to operate, and the container can be deployed as needed in the whole cluster, which saves virtual layer resources and improves service isolation compared with the conventional virtual machine; each software package is stored in the warehouse according to the version number, so that version control is facilitated, the operating system is decoupled from the software packages, the storage space is saved, the software version upgrading and version returning processes are simplified, and gray scale upgrading can be performed on the specified equipment; the light weight and the easy isolation of the container are fully utilized, and the container can be automatically deployed and expanded and contracted on line more quickly in the aspects of operation and maintenance.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims

1. An intelligent network SCP cloud service implementation system based on CAAS is characterized by comprising a container service component deployed on a virtual machine of a private cloud service, wherein an intelligent network SCP component operates in the container service component, an operation and maintenance management component is connected between the container service component and the intelligent network SCP component, and the operation and maintenance management component comprises a plurality of intelligent network SCP cloud service modules,

the container service assembly is used for managing calculation, storage, network and containers and providing virtual resources to business for use in the form of containers, and comprises a network management module, a storage management module, a container management module, a calculation module, a control module and a load balancing module, wherein,

the load balancing module is used for routing the flow to the container of the requested service;

the control module is used for ensuring resource balance among all nodes of the virtual machine and healthy operation of container instances, and calls the network management module, the storage management module, the computing module and the load balancing module respectively;

the intelligent network SCP assembly is used for supporting all call services on the intelligent network and is operated in a container of a container service assembly, the intelligent network SCP assembly comprises a signaling access module, a media service module, a service database module, a session cache module, an account opening and closing module, a ticket service module and a call control module, wherein,

the conversation caching module is used for caching the conversation state data and receiving the data in the call control module;

and the operation and maintenance management component is used for configuration management, log management, monitoring alarm, service arrangement and visual maintenance and operates in the container.

2. The CAAS-based intelligent network SCP cloud service implementation system of claim 1, wherein the container service component further comprises a task scheduling module, a DNS module, and a container mirror repository module, wherein,

and the container mirror image warehouse module is used for processing the user request and carrying out corresponding operation on the container mirror image.

3. The CAAS-based intelligent network SCP cloud service implementation system of claim 1, wherein the storage volume comprises a temporary storage volume and a persistent storage volume.

4. The CAAS-based intelligent network SCP cloud service implementation system according to claim 1 wherein the plurality of network planes include but are not limited to MSC, HLR, S-CSCF, HSS, MGW, OCS and BOSS.

5. The CAAS-based intelligent network SCP cloud service implementation system of claim 1, wherein the intelligent network SCP component further comprises a capability subscription and opening module, wherein the capability subscription and opening module is configured to open a call control capability of the intelligent network SCP to the capability opening platform, parse the request parameter, and operate the service database.

6. The CAAS-based intelligent network SCP cloud service implementation system of claim 1, wherein the data of the signaling access module comprises routing management, link state management and load balancing.

7. The CAAS-based intelligent network SCP cloud service implementation system of any of claims 1-6, wherein the operation and maintenance management component comprises a configuration center module, a monitoring alarm module, a service orchestration module, a log management module, a WEB UI module and a database module, wherein,

the configuration center module is used for storing, configuring, issuing, configuring, checking and data converting configuration items of all modules of the SCP assembly of the intelligent network, and transmitting configuration information of all the module configuration items of the SCP assembly of the intelligent network to the database module;

the WEB UI module is used for visualizing the page and receiving the data information of the configuration center module, the monitoring alarm module, the service arrangement module and the log management module;