ITU

A unified and cloud-based edge computing platform allows operators to flexibly deploy network functions and support infrastructure for fixed-mobile network convergence, to provide a unified multi-access edge computing capability for all network access technologies in IMT-2020 networks. This draft Recommendation aims to describe the requirements, architecture and functions of unified multi-access edge computing for supporting fixed mobile convergence (FMC) network.

The draft Recommendation describes the requirements, architecture, functional entities, reference points and information flows of local shunting for multi-access edge computing in IMT-2020 networks.

This draft Recommendation specifies the framework of capability exposure function (CEF) in edge computing for IMT-2020 networks and beyond. The scope of this document includes: - Requirements of capability exposure function in edge computing; - Framework of capability exposure function in edge computing; - Functionalities and reference points of capability exposure function in edge computing; - Procedures of capability exposure function in edge computing.

This draft Recommendation aims to describe the framework of Multi-access Edge Computing for fixed? mobile and satellite convergence (FMSC) in IMT-2020 networks and beyond. This recommendation covers the following issues, but not limited to: o Requirements of Multi-access Edge Computing for supporting fixed, mobile and satellite convergence in IMT-2020 networks; o The architecture of Multi-access Edge Computing for fixed, mobile and satellite convergence; o Information flows of Multi-access Edge Computing for fixed, mobile and satellite convergence.

Security guidelines for using distributed ledger technology for decentralized identity management

Big data based on cloud computing provides the capabilities to collect, store, analyze, visualize and handle varieties of large volume datasets, which cannot be rapidly transferred and analyzed using traditional technologies. e.g. Big Data as a Service (as defined in [ITU-T Y.3600], big data as a service (BDaaS) is a cloud service category in which the capabilities provided to the cloud service customer are the ability to collect, store, analyse, visualize and manage data using big data.). Data storage, analysis, calculation and other data services based on the big data platform, are developing rapidly in recent years.

On the basis of Y.FMC-AAEC-req, which specifies use cases and requirement of application addressing in edge computing, this draft Recommendation presents the framework and technical solutions of application addressing in edge computing in IMT-2020 network and beyond. The following aspects of application addressing in edge computing are addressed in this Recommendation: Framework of application addressing in edge computing Procedures of application addressing in edge computing Security considerations on application addressing in edge computing

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.

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.

Some of the capabilities offered by the Internet of thing (IoT), e.g., capabilities for computing, storage and analytics, are evolving in closer proximity to IoT data sources. Recommendation ITU-T Y.4208 provides an overview of related challenges faced by the IoT and describes how IoT-supporting edge computing (EC) may address these challenges. From the edge-computing deployment perspective, service requirements for support of EC capabilities in the IoT are identified, as well as related functional requirements. As an example, scenarios of EC deployment in different application domains, EC scenarios for vehicle-to-everything (V2X) and for smart manufacturing are provided in an appendix.