ISO/IEC TR 30164:2020 pdf free.Internet of things (IoT) — Edge computing.
ISO/IEC TR 30164:2020 describes the common concepts, terminologies, characteristics, use cases and technologies (including data management, coordination, processing, network functionality, heterogeneous computing, security, hardware/software optimization) of edge computing for IoT systems applications. This document is also meant to assist in the identification of potential areas for standardization in edge computing for IoT.
5 Overview
5.1 General
This document was jointly developed by the teams working on ISO/IEC TR 23188 [2] with cloud computing perspectives and ISO/IEC TR 30164 with loT computing perspectives. The separate documents exist to expand on these particular perspectives starting from a common base of edge computing concepts, which are stated below. ISO/lEO TR 23188 [2] provides more information on how cloud computing relates to edge computing. ISOIIEC TR 30164 provides more information on how loT devices and loT systems relate to edge computing.
5.2 Common concepts
Edge computing is a form of distributed computing in which processing and storage takes place on a set of networked machines which are near the edge, where the nearness is defined by the system’s requirements. The edge is marked by the boundary between pertinent digital and physical entities (i.e. between the digital system and the physical world) typically delineated by loT devices and end-user devices. Nearness is determined by the system requirements, which can include physical distance, but can also include digital factors such as network latency and bandwidth.
Pertinent digital entities here means that the digital entities which need to be considered can vary depending on the system under consideration and the context in which those entities are used.
Digital systems can observe and affect the physical world. Sensors, actuators and human user interface devices are at the boundary between the physical world and digital systems (the edge). Edge computing systems generally combine these devices with distributed computing resources to provide the capabilities of the system. When actions need to occur within specific timeframes and latency considerations affect system design, the edge computing systems help to achieve timing requirements by means of appropriate placement of data processing and data storage. The following are the main motivations for edge computing.
a) Latency: actions often need to occur within specific timeframes and latency considerations affect system design and the choice of the placement of data processing and data storage to achieve timing requirements.
b) Disconnected operations: for example, a car in a canyon. All essential functions need to continue to work.
c) Paucity or high cost of the uplink: for example, an oil rig, a cruise ship or an airliner connected via a satellite link. Need to minimize the volume of data transmitted upstream.
d) Data providence: for example, data represents trade secrets and should not leave a geofence (factory space or corporate network).
Edge computing is characterized by networked systems in which significant data processing and data storage takes place on entities at the edge, rather than in some centralized location. Edge computing can be contrasted with centralized computing where the centralized entities are remote from the edge. However, it is important to note that edge computing is complementary to centralized forms of computing and that in any given system, edge computing is often used in conjunction with centralized computing.ISO/IEC TR 30164:2020 pdf download.