EdgeX Foundry’s latest Hanoi Release simplifies deployment with better data tagging, customized editing and a new Command Line Interface for improved performance and scalability. To ensure the best results, EdgeX has created a QA & Testing Working Group within the project that ensures that the framework meets the high standards of reliability and robustness that are required at the Industrial IoT edge. Learn more about the testing and results for the latest release in this EdgeX Foundry Hanoi Performance Report.
This year, hundreds of professionals spanning the telecom, IoT and edge industries came together at Open Networking and Edge Summit, which took place virtually September 28-30. For the first time this year, the event was hosted by the Linux Foundation, LF Edge and LF Networking. Learn more about the content, the attendee details and more in this 2020 Post-Event Report.
Two of the most important technology trends at the edge today are the extension of cloud computing and 5G technology. These trends are complementary, reducing the distance from end users to compute resources, and pointing the way to inevitable convergence of edge clouds and 5G networks. This white paper addresses technical and business challenges to this convergence, and introduces an architecture enabling interoperability between clouds and telco 5G networks.
LF Edge and LF Networking collaborate on the end-to-end edge computing framework with projects such as Akriano to support high-availability cloud services optimized for edge computing systems and applications. LFN and LF Edge collaborated to produce a new asset for those looking to explore this exciting space. This guide provides an overview of the networking edge compute market opportunity, where open source fits in, the role of Linux Foundation projects in your network edge strategy, and how to get involved. System architects, developers, product and project managers, network operators, system integrators, and more will find useful information for crafting their edge networking strategies.
Edge computing is distributed computing with different application components interconnected by a network. The obvious existing edges are the “smart device” edge and the public cloud. The simple value of the Internet edge is that we can do lots of things in the cloud that don’t make sense on a device (cloud resources are practically unlimited). This new white paper is the first attempt to make available generic edge APIs for developers used to cloud native applications.
This original and collaborative community-driven white paper details the new LF Edge taxonomy with the goal of clarifying market confusion by breaking the continuum down based on inherent technical and logistical tradeoffs rather than using ambiguous terms. The taxonomy also comprehends a balance of interests spanning the cloud, telco, IT, OT, IoT, mobile and consumer markets.