 Hello everyone, welcome to today's meeting. I'm Dong Wang from Chinatankam and the presentation is Cloud Natale Converged by Cloud Network Operating System, which is the current case-traded of Chinatankam. Okay, so I will give an introduction about three parts. The first part is the Chinatankam Cloud Network Converged Strictage. The second part will give the main solution, which is the target architecture of the cloud network operating system. The third part will give the open source practice towards the cloud network operating system, which leads by Chinatankam in online, which leads the intent-driving closed-loop autonomous networks. So Chinatankam actively builds digital information infrastructure and the cloud network converges as a converting strictage. The cloud network converges in three stages. The first stage is currently focused on the cloud network collaboration. And the second stage is the cloud-oriented network. And the third part, the third stage will be the multi-factor integration, which includes all of the network factors, including the data center network computing power, cloud, big data, AI security, and green. There are six key technologies to solve this problem. The first one is cloud network conversion. The second is the ubiquitous high-speed connections, which we are strengthening infrastructure such as 5G, fiber optic, and various networks. The third one is integration of the space, air, land, and sea, where the satellite will be a main part of the future networks. And also the smart and eye-drawn development of the network, as well as green and low-carbon requirements and the security and control data requirements. Currently, the cloud network conversion is driven by the diamonds of the customers. The network connectivity is one of the basic requirements. And with the host of industries going to the cloud, more customers are putting forward the diamond for a system factors integrated supply. Here we provide two uses of China Telecom. The first one is hybrid cloud, which we use as a network. The second one is cloud engine, cloud and engine connect, collaborations based on the 5G networks. There are some changes to solve those problems. The first one is cloud network resource collaboration, as well as elastic scalability and automatic connections across dormant, open, different service capabilities as well as cross-dormant disaster recovery and backup. There are still some gaps to solve these problems due to the independence of cloud networks. It's called the cloud network service, which integrated the supply, integrated operation, integrated service, and integrated security. This supply side of the cloud and network data capabilities will need further innovation. So there are four main types which we need to know. The first one is a low efficiency of cloud network service delivery. The second is a high cost of cloud network business department, as well as a low level of cloud network operating intelligence and the great challenges concerning cloud network security. So in order to solve those problems, we propose the architecture of the cloud. We propose the cloud network operating system, where I will give an introduction about the target architecture. So the cloud network operating system, it refers to the system level common software platform that manages all kinds of heterogeneous cloud networks hardware and software resources and provides the public service for cloud network services and applications. The purpose has four parts. The first one is provide a flexible flexible trust servers and hardware independent business development and operation environment. The second is realize the unified management of operation and maintenance of the hardware and software resources for cloud network integration. The third one is shared the physical hardware devices and underlying different infrastructure of the cloud network and abstract them into the generalized service. The last one we will introduce part of the actual development on diamond development and the dynamic operations of business and the applications. Here is a kind of architecture, which is we write through the computer operating system. We provide four layers, including the endogenous service layer, which includes the network intelligent, okay, architecture and management. And also the service, system service layers the abstract layer and infrastructure layers. So based on this architecture, we will provide the service for the application in ABER and the internal operators for the cloud network industry. And we can also provide service to the managers and the shareholders of the cloud network and resource as well as realize the abstract and in kind of solution of the resource of the cloud network and the points. So as part of the cloud network operating system, my team kind of falls on the open source development based on online, which we need your case of the internet driving closed loop autonomous networks. Based on currently as open source automation network automation platform, online have already provided a closed loop of the autonomous networks. They are in the service of streeters. It can configure the networks based on the controllers and the controllers could get the real-time data, could collect the real-time data of the networks and DC could analyze the data and provide the event service. Based on policies, we will be able to get the closed loop. So ours is based on the current autonomous service of the online, they provide an intent interaction closed loop where the users could input the intents by natural language and we can have to create a new service. Also the users could update the intents based on the real-time requirements and they are based on the feedback of the network from the monitoring function only in your case UI. So in AI, we can manage the users real-time intents based on the intent instance and the DC could keep placing in users real-time intent. Based on the previous releases in online, we have proposed four requirements towards this architecture and we have already finished the intent translation function in Honolulu release and in its time release, we have worked on the intent management function based on intent instance in AI and in current release, we have provided the intent guarantee closed loop based on the current use cases of online as well as we provide a proposal of the network service with other perception for users functions based on intent based networking. In necessary release, we will provide full architecture and the demo of the intent driving closed loop autonomous networks. Based on our contributions in online, we have also provided multiple outputs to multiple STO as included in TSSM and ITOT. In TSSM, we have passed a proposal of all three is automation of intent-based cloudless line service and in ITOT, our team in China has also needed a standard version of intent-based networking including the standards of the requirements, the architectures and also the signaling of the intent-based networking. We are also concerned on the collaborations among academics or STO as based on our works in online. Here I show the multi STO as collaborations among the bottom organizations including all that as open source community and other foundation organizations as we are at HPE which we concern as academic organization. So we have cooperated with multiple university teams who research on the intent being networking as we are as autonomous networks and we are trying to provide online as a common platform for the academic research and we are as that we have cooperated with multiple organization organizations and we have many meetings with also I mentioned that we have the output to ETSI as well as ITOT. In the current works and further stage work, we are concerned on the AI which then need a benefit for intent-driven autonomous networks in online. Currently, we have already provided a natural language processing microservice in UI and in further step, we are most concerned on enhanced AI ability in DCAE which we will be able to provide the prediction and the decision making of the results for the network. Also currently, our works are based on the flow of frameworks and the first ones we are also concerned on PITOSH. Moreover, in further stage, we may concern our integrated e-commerce AI into smart service or online where it's also announced the project owned by Linux Foundation. Here, we provide a workflow of the intent-driven e-slicing use case. As shown in the red part, it's a close loop of e-slicing which is divided by the e-slicing team where the DCAE could collect the FM data from the 5G networks and based on the annual size results, it will trigger the OFR policy to update the e-slicing parameters of the slicing instance. And as all we are configured networks by action to trigger the government controllers. So our work is to provide a close loop of interaction between the users and the autonomous networks where the users could create a new service, update his intent, and they can save the user's spare time intent into the intent instance saved in AI. And DCAE is placing in the users updated intent. Moreover, DCAE also provides the KPI monitor based on the 5G sizing KPI. So we also support the CCAPN use case where we have already proposed proposal in the SM, which is automation of intent-based cloud-based service. This work is developed in based on own app and it's implementation complies with the SM standards. This can reference multiple simulations in the SM including the management service across government orchestration as we are the close loop and intent-based networking. This work is a real example between own app as open source platform and the simulation organizations. So this work will be done in this year. So based on the previous use cases which mentioned that 5G sizing and CCAPN we provide this proposal to provide network services with outperception for users. This means that the users could input the requirement by nature language and we can translate into the configurations of the network and provide the most suitable service for the users either the between sizing or the 5G mobile network between sizing or the CCAPN with the flash network. In China telecom currently we have already provided the service of the 5G this one as well as cloud this one. So the users normally could choose both of the two services and we can in the future networks we can provide a better selection for the users based on the real-time requirements and their services. So here we provide an application since we focused on the smart engine is truly falling into an entire demo of the internet driving on diamond services based on the flash network and mobile networks where we use the internet driving network to support the two main use cases in online. This work we were done in last release of on-line. In the end based on our recent releases in on-line we have a real good influence that on-line tracking priorities 2021 where the internet network use case is common as a major step towards autonomous networks for the operators and enterprise use cases and in in cyber release the internet working is a key feature in the release highlights. Also I have been working not in the various wireless network automation based on the on-line community and we also have a panel discussion with multiple sanitation organizations which is organized by HVNetsoft is an internet networking workshop. Okay so those are the words that we have already done and in next stage we were concerned on the words of the internet driving networks which is part of the cloud network operating system of China 10.com and we will continue the cooperation with the new foundation. Thank you very much. Thank you thank you and you know I was just thinking that less than a year ago you know we we we had heard from you that you would be proposing internet based and all of a sudden it's not only there but it is kind of in the code you are working the community is aligning behind you so we're really excited and happy to see progress and really thank you thank you very much for the contribution and great presentation thank you okay all right.