Accelerating Edge Computing Adoption

This document discusses the potential of 5G networks and edge computing technologies. It makes the following key points: 1) 5G networks will enable up to 1000x increase in network capacity, 100x increase in speed, and 10x lower latency compared to previous standards. This will support new use cases across industries like autonomous vehicles, manufacturing, and healthcare. 2) Edge computing places servers close to end users rather than in centralized data centers, which can increase capacity, improve security, and drastically decrease latency for applications. 3) Deutsche Telekom is opening a pre-5G edge computing platform for startups to test innovative low-latency applications across areas like computer vision, robotics, and AR/VR

In this deck, Greg Wahl from Advantech presents: Transforming Private 5G Networks. Advantech Networks & Communications Group is driving innovation in next-generation network solutions with their High Performance Servers. We provide business critical hardware to the world's leading telecom and networking equipment manufacturers with both standard and customized products. Our High Performance Servers are highly configurable platforms designed to balance the best in x86 server-class processing performance with maximum I/O and offload density. The systems are cost effective, highly available and optimized to meet next generation networking and media processing needs. “Advantech’s Networks and Communication Group has been both an innovator and trusted enabling partner in the telecommunications and network security markets for over a decade, designing and manufacturing products for OEMs that accelerate their network platform evolution and time to market.” Said Advantech Vice President of Networks & Communications Group, Ween Niu. “In the new IP Infrastructure era, we will be expanding our expertise in Software Defined Networking (SDN) and Network Function Virtualization (NFV), two of the essential conduits to 5G infrastructure agility making networks easier to install, secure, automate and manage in a cloud-based infrastructure.” In addition to innovation in air interface technologies and architecture extensions, 5G will also need a new generation of network computing platforms to run the emerging software defined infrastructure, one that provides greater topology flexibility, essential to deliver on the promises of high availability, high coverage, low latency and high bandwidth connections. This will open up new parallel industry opportunities through dedicated 5G network slices reserved for specific industries dedicated to video traffic, augmented reality, IoT, connected cars etc. 5G unlocks many new doors and one of the keys to its enablement lies in the elasticity and flexibility of the underlying infrastructure. Advantech’s corporate vision is to enable an intelligent planet. The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence." Watch the video: https://wp.me/p3RLHQ-lPQ * Company website: https://www.advantech.com/ * Solution page: https://www2.advantech.com/nc/newsletter/NCG/SKY/benefits.html Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/5g-and-ai-transforming-the-next-generation-of-robotics-a-presentation-from-qualcomm/ Kishore Chakravadhanula, Staff Product Manager at Qualcomm, presents the “5G and AI Transforming the Next Generation of Robotics” tutorial at the May 2021 Embedded Vision Summit. Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for consumer, enterprise and industrial sectors. In this session, Chakravadhanula discusses how scaling 5G and AI will help solve a diverse set of robotics challenges—from enabling high-accuracy AI inferencing and superior power efficiency to enhanced security and connectivity. Chakravadhanula explains why these advances are key to enabling the robotics ecosystem and accelerating growth in segments from automated guided vehicles, autonomous mobile robots, delivery robots and drones to inventory, industrial, and collaborative robots. Additionally, he highlights recent use cases including how our AI and computer vision technologies are enabling autonomous flight on Mars and enabling your home vacuum robot to map rooms and avoid obstacles.

Embedded systems are becoming interconnected and accessible via the internet. Gartner Group estimates there will be nearly 26 billion devices that make up the Internet of Things by 2020. This results in a massive variety of connected devices with varying security, reliability, and authentication requirements. Cost sensitivity also figures into the equation. This mix of requirements and costs require IoT developers to identify sensor, processor, and software solutions that address the requirements and hit required price points. Join us as IoT solution experts discuss sensors, connectivity, processors, platforms, and software for IoT applications and overview applications of IoT in various markets. Watch for free on-demand http://ecast.opensystemsmedia.com/511

Connext DDS Cert provides a certifiable implementation of the Data Distribution Service (DDS) standard for safety-critical and mission-critical systems. It handles connectivity and integration challenges and supports DO-178C Level A certification. Using Connext DDS Cert can reduce certification costs by replacing custom connectivity code and simplifying system architecture. Real-Time Innovations provides a full certification data package to support certification of systems using Connext DDS Cert.

The document discusses ONAP's positioning and activities related to edge computing, 5G, and distributed management. Near-term ONAP activities include supporting 5G network slicing and fine-grained placement of network functions for applications like C-RAN. ONAP is also working on architectures that allow certain management functions like analytics to be distributed to the edge to address requirements around bandwidth, resiliency, and real-time service assurance.

Learn how artificial intelligence impacts performance, security, compute, and resources within the network. Speakers: “Ali” Osamah Mohammed Ali and Wes Jensen, Netrolix

Cloud computing has been developed more than one decade and still keeps growing and growing. At the present time when we enjoy the huge benefits it brings to us, we are also aware of its deficiency that we have to enhance, especially for applications running against IoT. This session is to present the next generation of cloud computing: Edge Computing. We will introduce you what Edge Computing is, why we need it, and how it works with current cloud computing services. Furthermore, when we get involved into edge computing, we need a tool to help us to analysis real-time and continuous data streams generated by devices, equipment and systems on IoT. Therefore we will also present Apache Edgent, a programming model and micro-kernel style run-time, and show you how it works in conjunction with centralized analytic systems and provides efficient and timely analytic across the whole IoT ecosystem. https://cyberjos.blog/java/seminar/jcconf-2017-next-generation-of-cloud-computing-edge-computing-and-apache-edgent/

A major military and aerospace contractor operating globally is using ADLINK Edge™ to connect existing software, equipment and systems securely, seamlessly and cost effectively. The company is now able to extract real-time operational data from its materials testing chamber and stream real-time data to drive efficiency by enabling predictive maintenance. In this webinar, Chris Montague, Senior Solutions Architect, IoT Solutions and Technology at ADLINK, will share the benefits they gained such as reduced downtime from planned and unplanned maintenance shutdowns, improved machine performance, greater accuracy and reduced cost. He will explain how ADLINK Edge and InfluxDB fit together in a highly effective Edge IoT deployment which delivers operational efficiency for the end user.