 My name is Jian Qingjiang, and I'm from Nanan Cloud. And I will represent Jun Yuhe from Intel and Liang Zhang from China Tower to have this sharing. And the name is called China Tower's Edge Computing Solution based on Intel service and Stalix. We divided the whole sharing to four parts. And the first part is Nanan Cloud introduction. We have founded since 1912. And we have 200 staff in Shanghai, Beijing, et cetera. And we are the gold member of OpenStack Foundation. And we are the OpenStack CoA partner. And before that, and we are also the contributor to we contributes codes to some open source, like Kubernetes, SAP, and OpenDelight, and so on. Our advantage is we as a top two OpenStack community contributes. And we also have a member of Stalix Technical Committee of Edge Computing. And the second part is Edge Computing scenarios and the China Tower demand. Because traffic trains in the intelligent area of IoT, the traffic trains from MB to GB to TB level sensor flow and the ZB level network traffic. And the traffic, 50% traffic is from IoT device. And 79% IoT traffic gateway access, besides 40% IoT traffic, should be processed in the Edge. So with soaring traffic, we need Edge Computing strongly. And I also try to claim the main driving force of Edge Computing. I put this to four parts. And the first part is bandwidth pressure. Because TB level data cannot be uploaded to cloud for processing due to efficient bandwidth or high cost. And the second part is real time. The IoT environment requires local computing to improve analysis and operation efficiency. The third part is high security. When the network is interrupt, IoT devices can be independent and autonomous. They can be descent cities to data. And the last one is smart management. Because mass equipment and branches need to be unified and simple. So with remote management to reduce costs and increase efficiency should be a convenient. And the Edge Computing model, we think the structure should be like device access, nearest calculation, and services. Device access provides the equipment access tool to convince equipment of virus protocols and data commands provided by virus manufacturers into standard unified equipment models. And the devices can be from factory traffic, building, home, like this. And the nearest calculation on the certain resources equipment are calculated near the Edge. And the calculation will not be terminated when the network is interrupt. And we think Edge node contains device connection, function, calculation, and stream computing, and local cache. And the Edge node can connect IoT devices to Edge computing nodes quickly and safely. And the data can be processed quickly and in real time on the Edge, thereby greatly reducing latency. And the service is open up or think the service capabilities of the cloud. Next one, we add the introduction to China Tower. Because we have a project with Intel and China Tower. We put the starting X platform in China Tower's environment and with Intel service. So China Tower is a very large scale communications infrastructure. And China Tower is jointly founded by China Mobile, China Unicom, China Telecom, et cetera. And China Tower can have more than 1.9 million station states. So this large scale infrastructure is very suitable for Edge computing. And China Tower have machine room resource advantage. Because the China Tower site covers all over the country covering a variety of ground things with flexible equipment, mounting heights, and ample installation space, which is especially suitable for customs with large scale network construction needs. And China Tower, they are currently 1 million, have near 1 million compute rooms where there are communication towers. And the compute rooms are gently equipped near the tower. And each tower's distance between station sites is in the urban is 200 to 500 meters. And in rural area is 1 to 2 kilograms, kilometers. And travels, virus, things such as cities, countries, towns, rural areas, parks, et cetera. And the power resources advantage of China Tower is each state have a complete AC and DC power supply capability, including mains, battery parks, diesel generators, new area and other security methods to ensure continuous, safe, and stable power supply for equipment and worry free. And the advantage of China Tower's communication resource is each state have a complete. And the advantage of China Tower's communication resource is China Tower co-located with the operator's communication space to station, with unique wide and wireless communication condition. And we can rely on China Tower and China Tower can provide a reliable data return channel. And China towers also have flexible service advantage. And China Tower can provide a resource service, integration service, and data service, information service. So with China Tower, all these advantages we cooperate with China Tower. And China Tower's these advantages is very suitable for edge computing scenario. And the description of Nanan Cloud and Intel capability is China Tower has very much number of towers and the machine rooms. And China Tower plans to open the machine room resource to OTT vendors. And currently we have done technical tests with leading vendors, OTT manufacturers. And Nanan Cloud's study edge computing technology basically meets the needs of the tower involving center edge architecture security strategy called platform unified orchestration remote management monitoring, et cetera. And the second is the tower use Intel service and they use cloud computing technology to isolate different OTT vendors. And the pilot is mainly based on the machine rooms of the provincial company of the hardware environment. So through the environment of edge computing suits in each province, the whole country use a central node for management. The third part is introduction to Stalix technical capabilities. Stalix is a new top-level OpenStack Foundation pilot project to provide high performance low latency and high availability software states for edge cloud applications. Stalix provides major distributed infrastructure cloud technology for edge computing scenarios. And Stalix is very suit for transportation, energy, manufacture, et cetera, scenarios. And with Stalix central edge architecture, Stalix can directly provide geography, distributed multi-region deployment. And the central cloud provides unified orchestration and synonymous configuration capabilities. And Stalix provides geography, distributed edge cloud on demand, scale, configuration capabilities. And this is Stalix architecture. And Stalix with low latency Linux and contains OpenStack to provide VM and contains Kubernetes to provide to use Docker technical to provide the containers. And Stalix have host management, software management, configuration management, and service management. And the configuration management is Stalix installation automatically discover edge nodes. And the Stalix node configuration can remote to modify the remote edge nodes. And Stalix can discover remote resources. And the software management is Stalix can automatically deploy software updates to increasing security and the new features. And the Stalix integrated end-to-end rowing update solution. And Stalix also can support hot patch and the remote required patch at the same time. And Stalix can manage all software updates. And Stalix can have fault management. And Stalix can collect the fault message from edge node and can show in the central cloud. So the administrator don't need to access each edge cloud. We just the administrator just can check the horizon in the central cloud. So it's very convenient. The last part is the project technical structure introduction. These two pictures is the actual environment of Shanghai Tower deployment. And we put Stalix in the China Tower's machine room. And we put the edge cloud exactly the edge cloud in the Tower machine room. And so the device can access the resource with the near distance. So it can reduce latency. And this picture is the physical architecture of Shanghai Tower deployment. We have put three edge nodes in the whole environment. And there is the application on the edge node. And we have open stack in each edge node. In the central node, we have a CMP platform to manage the whole central cloud and edge cloud. And this server is deployed the management node. This management node can collect the information from the edge node. Thanks for your time. Any questions?