ITU

With the development of industry, cloud computing and edge computing are widely used. Especially in the industrial machine vision system, with the increase of data-intensive applications and computing-intensive applications, it is necessary to use the powerful computing capabilities and communication resources of cloud computing, collaborate with the short-time response capabilities of edge computing to realize and complete corresponding application requests. Through collaborative work, the value of edge computing and cloud computing will be maximized, thereby effectively improving the performance of industrial machine vision systems.
Cloud-edge collaboration technology is a collaborative method of cloud computing and edge computing, including data collaboration, resource collaboration, intelligent collaboration, service collaboration and application collaboration. At the same time, cloud-edge collaboration in industrial machine vision system will meet the needs of intelligent analysis and real-time response business in different scenarios.
This Recommendation specifies requirements and reference framework of cloud-edge collaboration in industrial machine vision system.

Cloud gaming requires high real-time performance, so it needs special hardwares to match the needs of real-time game rendering. This recommendation will describe the detailed infrastructure requirements of cloud gaming and provide reference for infrastructure selection of mobile edge computing in different scenarios. Among the factors that restrict the development of cloud gaming, the long end-to-end delay is the most important one. Mobile Edge computing is an effective way to reduce the end-to-end delay. This recommendation will describe the architecture and interaction process of cloud gaming system optimized for edge computing.

In recent years, there a+E139:I139re more extra-large data centres worldwide. Although these kind of data centres are in strong capability of data processing, it is a little bit difficult to meet the need of data centre application from users. The Edge data centre is established to perfectly solve this problem and let users get better experience of data access. With the huge quantity application and establishment of Edge data centres, the specific requirement of data centre infrastructure, especially in Edge data centre, will be stricter in the future. This Recommendation proposes to establish clear requirements on infrastructure including ICT system, powering system, cooling system, monitoring system etc. to get green, safe, reliable, smart, energy-saving Edge data centre.

Recommendation ITU-T F.749.3 describes the use-cases and requirements for vehicular multimedia networks (VMN), taking into account the autonomous levels defined by [SAE J3016], and defined the Vehicular multimedia service platform (VMSP) with the following functions: multimedia services, infotainment applications, intelligent voice interaction, high precision navigation (maps), security updates, software and certificates. This recommendation suggests to use Edge computing platform as the distributed computing system with the following advantages: - computing and network resource of VMSP allocation; - increase of services performance; - decentralization; - user demand services; - reduction of delays. This recommendation considers the framework of distributed VMS for V2X networks based on the EdC possibilities.

This draft Recommendation provides security guidelines for vehicular edge computing. Vehicular edge computing (VEC) is a model that supports the core cloud's capacity for decentralizing the concentration of computing resources in data centers. VEC also provides more localized storage and application services to road users, thereby making it possible to achieve lower latency delays, faster response times providing mobility support, location awareness, high availability, and Quality of Service for streaming real-time applications since the data processing is conducted closer to the vehicle. Vehicular edge computing faces many security challenges and issues since it requires providing faster service response time to end-users. This Recommendation provides security guidelines for vehicular edge computing based on an analysis of the threats and vulnerabilities identified within VEC. Further, it also provides use cases for a security system and relevant security requirements for use in for vehicular edge computing scenarios.

This Recommendation provides overview and requirements of edge computing. To provide requirements, this Recommendation defines terms and concept of edge computing, provides reference frameworks for edge computing based on fundamental characteristics and capabilities. Also, this Recommendation provides requirements through various use cases based on reference framework.

This draft Recommendation presents the use cases and technical requirements of application addressing in edge computing for future networks including IMT-2020. Application Addressing is the process to discover the IP address of the server which the application running on when UE intends to access the application This Recommendation specifies the following aspects of application addressing in edge computing in the context for future networks including IMT-2020: Use cases and requirements of application addressing in edge computing for future networks including IMT-2020. FMC architecture enhancement requirements.

The purpose of this Recommendation is to guide operator to implement a uniformed security management for multi-vendor environment. This Recommendation analyses main security protection challenges, proposes the collaborative cloud-edge computing security architecture. In addition, this Recommendation describes key technologies and work procedures of the security architecture.

This Recommendation specifies the requirements and architecture about ICN-enabled edge network in IMT-2020. 1) From the service and network operation point of view, it discusses detailed requirements of ICN-enabled Edge network in IMT-2020. 2) It provides architecture of ICN-enabled edge network. 3) It describes the key functions and interfaces to satisfy the requirements of ICN-enabled edge network.

The scope of the draft Recommendation is as follows. - considerations on micro data centre for edge computing: deployment, configuration including redundancy, components - energy efficiency in micro data centre: management functions including energy efficiency and operation perspective - energy efficiency in edge computing: management functions including energy efficiency and operation perspective Note) The scope of the Recommendation could be updated according to the main text of the Recommendation.

This Recommendation provides concept of digital twin federation and defines requirements for digital twin federation in smart cities and communities.

This draft Recommendation introduces a decentralized service by using DLT and edge computing technologies for IoT devices, and analyses its characteristics and high-level requirements, and provides its functional framework and relevant common capabilities, functionalities and general procedures.