Cloud and Edge Computing

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ITU-T - SG16 - F.743.13Requirements for cooperation of multiple edge gateways

This Recommendation describes the requirements for a function which enables the cooperation of multiple edge gateways (CMEG) to complete complex tasks. It also describes the required capabilities and requirements of key components. The CEMG function can support the information exchanging among multiple edge gateways and deal with gateway failure cooperatively. It can also specify the central gateway which is responsible for selecting a cooperative gateway for each gateway, which in turn monitors the status of its partner gateway, and manages the cooperative data and devices.

ITU-T - SG16 - F.743.13

OMA-ERELD-GwMO-V1_1-20170725-AEnabler Release Definition for Gateway Management Object (GwMO)

The scope of this document is limited to the Enabler Release Definition of Gateway Management Object (GwMO v1.1) according to OMA Release process and the Enabler Release specification baseline listed in section 5.

OMA-ERELD-GwMO-V1_1-20170725-A

OMA-AD-GwMO-V1_1-20170725-AGateway Management Object Architecture

The scope of the Gateway Management Object architecture document is to define the architecture for the DM Gateway Management Object v1.1 enabler. This document fulfills the functional capabilities and information flows needed to support this enabler as described in the Gateway Management Object requirements document [GwMO-RD].

OMA-AD-GwMO-V1_1-20170725-A

N/AOASIS Advanced Message Queuing Protocol (AMQP) TC

The OASIS AMQP TC advances a vendor-neutral and platform-agnostic protocol that offers organizations an easier, more secure approach to passing real-time data streams and business transactions. The goal of AMQP is to ensure information is safely and efficiently transported between applications, among organizations, across distributed cloud computing environments, and within mobile infrastructures. AMQP avoids proprietary technologies, offering the potential to lower the cost of enterprise middleware software integrations through open interoperability. By enabling a commoditized, multi-vendor ecosystem, AMQP seeks to create opportunities for transforming the way business is done in the Cloud and over the Internet.

ITU-T - SG13 - Y. FMSC-MECMulti-access Edge Computing for fixed, mobile and satellite convergence in IMT-2020 networks and beyond

This draft Recommendation aims to describe the framework of Multi-access Edge Computing for fixed? mobile and satellite convergence (FMSC) in IMT-2020 networks and beyond. This recommendation covers the following issues, but not limited to: o Requirements of Multi-access Edge Computing for supporting fixed, mobile and satellite convergence in IMT-2020 networks; o The architecture of Multi-access Edge Computing for fixed, mobile and satellite convergence; o Information flows of Multi-access Edge Computing for fixed, mobile and satellite convergence.

ITU-T - SG13 - Y. FMSC-MEC

ITU-T - SG13 - Y.IMT2020-CEFECFramework of capability exposure function in edge computing for IMT-2020 networks and beyond

This draft Recommendation specifies the framework of capability exposure function (CEF) in edge computing for IMT-2020 networks and beyond. The scope of this document includes: - Requirements of capability exposure function in edge computing; - Framework of capability exposure function in edge computing; - Functionalities and reference points of capability exposure function in edge computing; - Procedures of capability exposure function in edge computing.

ITU-T - SG13 - Y.IMT2020-CEFEC

ITU-T - SG13 - Y.LSMECLocal shunting for multi-access edge computing in IMT- 2020 networks

The draft Recommendation describes the requirements, architecture, functional entities, reference points and information flows of local shunting for multi-access edge computing in IMT-2020 networks.

ITU-T - SG13 - Y.LSMEC

ITU-T - SG13 - Y.FMC-ECUnified edge computing for supporting fixed mobile convergence in IMT-2020 networks

A unified and cloud-based edge computing platform allows operators to flexibly deploy network functions and support infrastructure for fixed-mobile network convergence, to provide a unified multi-access edge computing capability for all network access technologies in IMT-2020 networks. This draft Recommendation aims to describe the requirements, architecture and functions of unified multi-access edge computing for supporting fixed mobile convergence (FMC) network.

ITU-T - SG13 - Y.FMC-EC

ITU-T - SG11 - Q.IEC-PROProtocols for microservices based intelligent edge computing

For development of the IEC architecture, there are couple of software-oriented architectural ways to build flexible protocol architecture achieved by deploying and operating the architecture, for instance, an unified software oriented architecture, which is composing logically modular functions to tightly coupled way as a monolithic architecture and microservice architecture which is loosely composing logically or physically separated own processing functions as microservices. Because IEC has developed on different hardware specifications and various functionalities that each business wants, it is standardized based on microservices and used as a reference standard for implementation. As a result of microservices based IEC architecture, it can be continuously developed and operated by updating microservices. This Recommendation specifies signalling architecture, protocol interfaces, protocol procedures and message format for microservices based intelligent edge computing.

ITU-T - SG11 - Q.IEC-PRO

ITU-T - SG16 - F.DVMSFEdge - Distributed vehicular multimedia services framework for V2X based edge computing

Recommendation ITU-T F.749.3 describes the use-cases and requirements for vehicular multimedia networks (VMN), taking into account the autonomous levels defined by [SAE J3016], and defined the Vehicular multimedia service platform (VMSP) with the following functions: multimedia services, infotainment applications, intelligent voice interaction, high precision navigation (maps), security updates, software and certificates. This recommendation suggests to use Edge computing platform as the distributed computing system with the following advantages: - computing and network resource of VMSP allocation; - increase of services performance; - decentralization; - user demand services; - reduction of delays. This recommendation considers the framework of distributed VMS for V2X networks based on the EdC possibilities.

ITU-T - SG16 - F.DVMSF

ITU-T Y.4122 (07/2021)Requirements and capability framework of the edge-computing-enabled gateway in the Internet of things

The gateway is an important component of Internet of things (IoT) systems, enabling IoT devices to connect to communication networks. Edge computing technologies can benefit the IoT, providing computation, storage, networking and intelligence in proximity to IoT devices. Compared with the common gateway [ITU-T Y.4101], the edge-computing-enabled gateway in the IoT (EC-enabled IoT gateway) has additional capabilities supporting service layer interworking, and application layer interworking between IoT devices, IoT platforms and IoT application servers. In addition, the EC-enabled IoT gateway supports data transmission capabilities for IoT applications sensitive to time, latency, jitter and packet loss. Based on the common requirements and capabilities of a gateway for IoT applications [ITU-T Y.4101] and IoT requirements for support of edge computing [ITU-T Y.4208], additional capabilities and capability framework of the edge-computing-enabled gateway in the IoT are specified. Examples of applicability of the edge-computing-enabled gateway in the IoT are also given.

ITU-T Y.4122 (07/2021)

ITU-T F.743.12 (06/2021)Requirements for edge computing in video surveillance

Recommendation ITU-T F.743.12 defines the requirements for edge computing in video surveillance. Edge computing is a distributed computing paradigm aimed at providing various computing services at the edge of the network, and it brings computation and data storage closer to the data source or the location where it is needed, to improve response time and save bandwidth. By using the edge computing technology, the video surveillance system can perform intelligent video analysis and store data near the network premises units. And the edge computing platform provides the management capabilities of the edge resources and functional components to the video surveillance system. It can improve the video processing efficiency and quality of services and reduce the infrastructure cost of the video surveillance system. This Recommendation describes the application scenarios and requirements for edge computing in the video surveillance system.

ITU-T F.743.12 (06/2021)