The document specifies the application layer architecture, procedures and information flows necessary for enabling edge applications over 3GPP networks. It includes architectural requirements for enabling edge applications, application layer architecture fulfilling the architecture requirements and procedures to enable the deployment of edge applications.
The present document studies the charging aspects of Edge Computing based on architecture, procedures and information flows for enabling Edge Applications over 3GPP network as well as capabilities for 5GS to support edge computing. The investigation includes different charging scenarios with potential business requirements, alternative solutions with potential impact on charging architecture, charging functions and charging procedures.
The document studies the potential use cases, requirements, and solutions for the management of edge computing architecture and requirement defined by TS 23.558 and TS 23.501. The document provides conclusions and recommendations on the next steps in the standardization.
The document is a study of use cases for multimedia processing in the edge and the potential 5G media streaming architecture extensions to enable them.
The document studies the security enhancements on the support for Edge Computing in the 5G Core network defined in TR 23.748, and application architecture for enabling Edge Applications defined in TR 23.758 and TS 23.558. Potential security requirements are provided and possible security enhancements to 5GS and edge application architecture are proposed that meet these security requirements.
This recommendation provides an overview of the Internet of things (IoT). It clarifies the concept and scope of the IoT, identifies the fundamental characteristics and high-level requirements of the IoT and describes the IoT reference model. The ecosystem and business models are also provided in an informative appendix.
ISO/IEC 23053:2022 This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML technology. The framework describes the system components and their functions in the AI ecosystem. This document is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that are implementing or using AI systems.
This Recommendation defines a cloud storage architecture in visual surveillance. Cloud storage enables the service users to have ubiquitous, convenient and on-demand network access to a shared pool of the configurable storage resources, which can be rapidly provisioned and released with the minimal management effort or service-provider interaction. Cloud storage can realize flexible and reliable data storage for large-scale visual surveillance, and its components are modularized and allocated dynamically based on the real usage. This Recommendation provides the architecture, entities, reference points and service control flow for cloud storage in visual surveillance.
This Supplement specifies a proof-of-concept for a service that provides named data such as Internet of Things (IoT) named data by information centric networking in IMT-2020. In the Supplement, an enhanced name resolution system is implemented based on distance-constrained containers to resolve from names to addresses more efficiently.
