Y.AI-DECCS Functional architecture of AI enabled device-edge-cloud collaborative services for IoT and smart city
This Recommendation specifies Functional architecture of AI enabled device-edge-cloud collaborative services for IoT and smart city.
This Recommendation specifies Functional architecture of AI enabled device-edge-cloud collaborative services for IoT and smart city.
This Recommendation defines the reference architectural framework and requirements of IoT and Smart City and Community services based on federated machine learning.
This Recommendation describes a decentralized, IoT communication reference architecture based on ICN and blockchain.
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.
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 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.
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.