Standard

This document provides an overview of Digital Twin, describes the capabilities, range, characteristics and requirements, and establishes a well-defined conceptual model, reference model and reference architectural views including usage view, functional view, and network view. This document is applicable to all types of organizations (e.g., commercial enterprises, government agencies, not-for-profit organizations).

Based on ISO/IEC 21823-1, this document provides the basic concepts for IoT systems and digital twin systems behavioral and policy interoperability. This includes - requirements - guidance on how to identify points of interoperability - guidance on how to express behavioral and policy information on capabilities - guidance on how to achieve trustworthiness interoperability, and - use cases and examples .

ISO/IEC 30163:2021 specifies the system requirements of an Internet of Things (IoT)/Sensor Network (SN) technology-based platform for chattel asset monitoring supporting financial services, including: - System infrastructure that describes functional components; - System and functional requirements during the entire chattel asset management process, including chattel assets in transition, in/out of warehouse, storage, mortgage, etc.; - Performance requirements and performance specifications of each functional component; - Interface definition of the integrated platform system. This document is applicable to the design and development of IoT/SN system for chattel asset monitoring supporting financial services.

This Recommendation defines the reference architectural framework and requirements of IoT and Smart City and Community services based on federated machine learning.

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.

Edge computing is strongly related to 5G and UPF is the data connection point between the MEC system and 5G Network architecture. The sinking of 5G network user plane brings threats such as illegal eavesdropping, which may seriously threaten the data security in edge computing. The edge node has unique features itself and whether in the physical environment or the network, the data security will be an important problem that the edge nodes need to face. Therefore, the recommendation analyses the edge computing data security mainly from these two aspects and provides relative data security challenges and threats and data security guidelines for Edge Computing. This recommendation could help to address the data security issues in Edge Computing implementation

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.

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.