Cloud and Edge Computing

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 draft Recommendation introduces a concept of service exposure for decentralized services (DSE) for IoT applications, analyses its common characteristics and high-level requirements, and provides a reference architecture of DSE and relevant common capabilities.

Recommendation ITU-T Q.5003 describes signalling requirements and architecture for federated multiaccess edge computing (MEC). This Recommendation specifies signalling requirements, signalling architecture with reference points and security considerations for federated MEC.

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

This Recommendation provides requirements for edge cloud. It introduces the overview of edge cloud management including advantages of edge cloud management and relationship with global management in distributed cloud. It describes the edge cloud management local functions and mode. Additionally, this Recommendation provides edge cloud management functional requirements derived from use cases.

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 Recommendation provides functional requirements of edge cloud. Edge cloud is a cloud computing deployed to the edge of the network. It has small capacity resources enabling cloud service. It addresses the following subjects: - Overview of edge cloud; - Operation of edge cloud in distributed cloud; - Functional requirements of edge cloud; - Use cases of edge cloud in distributed cloud.

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.

Decentralized services (e.g., enabled by distributed ledger technologies, DLT) for IoT devices can be deployed in local area networks (e.g., in IoT devices or in local IoT gateways for constrained IoT devices) or in clouds (e.g., in remote IoT gateways or in cloud systems). When deployed in local area networks, the decentralized services will be affected by the local storage capability of peers and their computation capability and communication latency among peers. When deployed in clouds, the decentralized services will be affected by speed and efficiency of data access. With the popularization of the use of edge computing, part or whole of functionalities of DLT-based decentralized services can be deployed in edge nodes. This draft Recommendation introduces decentralized service by using DLT and edge computing technologies, which is an intermediate supporting service between decentralized services in local area networks and that in clouds. Decentralized service by using DLT and edge computing technologies is deployed in edge nodes and can facilitate interaction among peers of decentralized services, no matter where the peers are deployed (e.g., in local areas or in clouds). This draft Recommendation analyses characteristics and general requirements of decentralized service by using DLT and edge computing technologies, and provides its functional framework and relevant common capabilities, functionalities and general procedures.

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.