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3GPP TR 26.803 V17.0.0 (2021-06)Study on 5G Media Streaming Extensions for Edge Processing

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.

3GPP TR 26.803 V17.0.0 (2021-06)

3GPP TR 33.839 V17.0.0 (2021-12)Study on security aspects of enhancement of support for edge computing in the 5G Core (5GC)

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.

3GPP TR 33.839 V17.0.0 (2021-12)

Overview of Internet of Things

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.

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

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.

Architectural requirements for cloud storage in video surveillance

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.

Proof-of-concept for data service using information centric networking in IMT-2020

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.

Data aware networking (information centric networking) – Requirements and capabilities

This Recommendation specifies the requirements and capabilities of data aware networking (DAN) to realize the use cases and scenarios described in ITU-T Supplement 35 to Recommendation Y.3033, Data aware networking - Scenarios and use cases, which are expected to be major applications/services provided on DAN. One of the objectives reflecting emerging requirements for future networks (FNs) is data awareness as specified in ITU-T Recommendation Y.3001 - Future networks: Objectives and design goals. DAN is expected to have capabilities optimized to handle enormous amount of data and to enable users to access desired data safely, easily, quickly, and accurately, regardless of their location by making information the destination of request delivery. DAN can be rephrased as the networking whose central concern is retrieving information, i.e., information centric networking (ICN).