Edge computing combines open network capabilities with big data and cloud computing platforms, allowing third-party applications to be deployed at the edge of the network. It is an inevitable technology for the evolution from flat to edge and 5G-oriented network architecture. It also provides a new ecosystem and Value chain. For the current hot IoT applications, especially some emerging IoT application fields: such as autonomous driving, drones, AR/VR, smart cities, etc., these new applications place great emphasis on the recognition and processing of images and videos. capabilities, or the low latency and high bandwidth requirements of the network are very demanding, almost reaching the level of tens of milliseconds. The traditional backhaul cloud method is obviously unable to meet this latency and bandwidth requirements, and edge computing can replace it. It will become an important solution to solve these new businesses in the future.
Regarding the bright prospects and widespread applications of edge computing, the standardization work on edge computing has gradually attracted the attention of major standardization organizations. The European Telecommunications Standards Institute (ETSI) first published the edge computing white paper in 2015 [3, The content of this white paper involves the definition of edge computing, scenario applications, platform architecture, enabling technologies and deployment solutions. After that, ETSI officially launched the standardization work of edge computing. So far, ETSI has proposed including: edge computing Platform architecture [·, edge computing technology requirements, edge computing application program interface (API) interface guidelines [5], edge computing application (application, APP) enablement and other content versions. Currently, ETSI is concerned with edge computing The first phase of the standardization work has ended, and the tasks of phase 2 have been carried out.
As the most important and influential standardization organization currently, the 3rd Generation Partnership Project (3GPP) also lists edge computing as a key technology in the future 5G era. In the 3GPP system architecture (SA) In the standardization process [7-8], the need for edge computing has been regarded as an important design factor. Currently, 3GPP has written the future 5G service architecture based on control and user plane separation (CUPS). The standard [fork] also provides traffic grooming solutions and business continuity solutions for edge computing. Edge computing gateway
Since 3GPP’s standardization work mainly targets network architecture, it will pay more attention to the edge computing platform and network architecture design.
Content, no provisions will be made for specific business scenarios.
China Communications Standards Association (CCSA) has currently accepted projects and research projects on edge computing from three operators [10-12]. It mainly studies the application scenarios, platform architecture, and API interface definitions of edge computing. and other contents. Among them, the Industrial Internet Group added a new project related to the application of edge computing in the Industrial Internet in August 2017, and the application level involved in edge computing has also expanded to industry [13-14].
As one of the three domestic operators, China Unicom actively participates in edge computing research and lays out the construction of edge cloud. China Unicom released an edge computing white paper in June 2017, which defined China Unicom’s capabilities and applications of edge computing platforms. Scenario requirements provide China Unicom’s 4G network and 5G network edge computing deployment strategies, suggestions and evolution plans. At the same time, China Unicom launched the Mercedes-Benz Center smart venue edge computing pilot at the 2017 Shanghai Communications Exhibition. This pilot mainly solves the problem of multi-channel video scheduling and distribution in the venue. Authorized users in the venue can quickly and seamlessly switch between multiple live broadcasts. At the same time, the delay of terminal live broadcast is very low and is almost synchronized with the live broadcast. On November 16, 2017, the China International High-tech Fair (hereinafter referred to as the Hi-tech Fair) kicked off at the Shenzhen Convention and Exhibition Center. China Unicom joined hands with HPE, Xingyao Technology, INTEL, XJERA LABS, Sunlight Qustop, NVIDIA, and H3C to create The “edge-cloud (EC) + intelligent security” commercial deployment solution can realize a variety of typical local artificial intelligence applications such as expression recognition, behavior detection, trajectory tracking, hotspot management, and body attribute recognition. Currently, China Unicom also Together with equipment vendors, software developers, and chip manufacturers, we have deployed edge computing pilot networks in many key cities, focusing on the construction of multiple model networks such as smart campuses, smart venues, and security monitoring. In the future, China Unicom will not only need to improve pipelines and Connectivity also requires close cooperation with equipment vendors, content providers, Internet application providers (over the top, OTT), software developers, etc. to break the siled model, provide end-to-end application solutions, enhance user stickiness, and promote the overall Development of the edge computing industry chain. China Unicom is already at the forefront of edge computing development and will plan and lay out the construction of the future 5G edge cloud.
Abstract Edge computing is a new network architecture and open platform that integrates network, computing, storage, and application core capabilities on the edge of the network. Edge computing changes the way of traditional centralized cloud computing which moves computing and storage capabilities to the edge of the network . Edge computing can greatly reduce the congestion and burden of core network and transmission network, due to canceling the data backhaul. And it can lower the delay, bring high bandwidth. Also at the same time it can quickly respond to users’requests and improve service quality. Now, edge computing has become an important enabling technology for the future 5G, and it has been written into 3GPP standard. More and more operators, equipment vendors and chip manufacturers join to construct the edge computing ecological. How to build a unifiedstandardized edge computing platform for future ecological construction is very important. Therefore, this paper focuses on the progress of standardization of the current edge computing. From edgecomputing architecture was first proposed by ETSI, to edge computing has been listed as the key technology for future 5G development in 3GPP. The approval of projects of the edge computing inCCSA is also included. The introduction of each part has a great deal of analysis and explanation of the standard content. In the end, this paper introduces China Unicom’s edge computing research achievement in recent years, including the important edge computing experimental project , the pilot scheme for future edge computing of China Unicom and the exploration of the network deploymentplan of edge computing. We are looking forward to discuss the edge computing commercialcooperation mode with all sectors so as to jointly build the network edge ecology and comprehensively accelerate the vigorous development of 5G services.