Landscape of Edge Computing Standards

Several definitions of edge computing are provided by Standards Development Organizations (SDOs) and industry associations. In this report, similar to the definition provided by the Alliance for Internet of Things Innovation (AIOTI), edge computing is the concept that encompasses the paradigm shift from centralised solutions to decentralised and distributed computing architectures, in which information processing is located close to the edge, where “things” (e.g. sensors/actuators, devices, machines and humans) produce and utilise that information, knowledge, intelligence and related experience.
Currently, several SDO, Alliance and OSS (Open Source Software) initiatives are active and competing in the area of edge computing technologies. This is a normal development considering that edge computing technology is still in the early phase of deployment. In this context, the edge computing landscape can be considered to be complex, dynamic and challenging to grasp and visualize.
Similar to IoT systems, there are several edge computing systems and edge computing applications being implemented and deployed in almost all vertical industry domains, such as Health, Industry & Manufacturing, Agriculture, Finance, Mobility, Energy, Public safety, Buildings and Cities.
The goal of this report is to capture the landscape of edge computing activities and documents/specifications published and/or under publication by SDOs, Alliances and OSS.
In order to realize this goal, this report has used the methodology and process defined by EUOS in the “Landscape of AI Standards”, report of TWG AI (Technical Working Group of Artificial Intelligence). In particular, representatives from several SDOs, Alliances, OSS Initiatives and academic institutions have created an open-access database of edge computing related specifications and documents, such as architectures, requirements, technical reports, reviews, white papers, guidelines, in a way that encourages future extensions, re-use, cross-comparisons and re-classification according to various needs. Applying the EUOS aforementioned methodology and process, the TWG IoT and Edge team members who have collated this report, have made the collection of disparate outcomes from across the global community, readable and accessible and at the same time have provided the possibility to make dynamic extensions of these collected outcomes, in the future. and the team of TWG IoT and Edge thanks the European Commission for supporting this work and invites experts to join us in expanding the coverage of the edge computing related database behind this report, and use it to compare standards, improve them, and make their work more effective