Cloud and Edge Computing

Edge computing is increasingly used in systems that deal with aspects of the physical world. Edge computing involves the placement of processing and data storage near or at the places where those systems interact with the physical world, which is where the "edge" exists. One of the trends in this space is the development of increasingly capable IoT devices (sensors and actuators), generating more data or new types of data, which data benefits from processing close to the place where it is generated.

With the development of industry, cloud computing and edge computing are widely used. Especially in the industrial machine vision system, with the increase of data-intensive applications and computing-intensive applications, it is necessary to use the powerful computing capabilities and communication resources of cloud computing, collaborate with the short-time response capabilities of edge computing to realize and complete corresponding application requests. Through collaborative work, the value of edge computing and cloud computing will be maximized, thereby effectively improving the performance of industrial machine vision systems.

The OMG Cloud Working Group publishes vendor-neutral guidance on important considerations for cloud computing adoption, highlighting standards, opportunities for standardization, cloud customer requirements, and best practices to foster an ecosystem of open, standards-based cloud computing technologies.

The DMTF’s Cloud Management Working Group models the management of cloud services and the operations and attributes of the cloud service lifecycle through its work on the Cloud Infrastructure Management Interface (CIMI).

This Standard specifies the minimum requirements for telecommunications infrastructure of data centers and computer rooms, including single tenant enterprise data centers and multi-tenant data centers. The topology specified in this document is intended to be applicable to any size data center.

Guidance and best practices for cloud audits.

Cloud Computing concepts

Cloud Computing terminology

This document defines an OMA DM management object (data model) to represent ZigBee devices. This ZigBee MO models specific parameters used to represent a specific ZigBee device and should be used together with GwMO TS v1.1 [GwMOTS]. This ZigBee MO is optional for any OMA DM Gateway implementation.

Cloud computing data flow, data categories and data use: Fundamentals

This Recommendation describes the framework of risk management in cloud computing, including risk assessment, risk treatment, risk acceptance, risk communication, risk monitoring and review, etc. It focuses on the risk management processes of CSP.

ISO/IEC 19086-3:2017 specifies the core conformance requirements for service level agreements (SLAs) for cloud services based on ISO/IEC 19086‑1 and guidance on the core conformance requirements. This document is for the benefit of and use by both cloud service providers and cloud service customers.